• Reliance Steel & Aluminum-stock
  • News for Reliance Steel & Aluminum

Critical Insights From Reliance Analyst Ratings: What You Need To Know

reliance research report

Ratings for Reliance (NYSE:RS) were provided by 4 analysts in the past three months, showcasing a mix of bullish and bearish perspectives.

In the table below, you'll find a summary of their recent ratings, revealing the shifting sentiments over the past 30 days and comparing them to the previous months.

0 2 2 0 0
0 1 0 0 0
0 0 1 0 0
0 0 0 0 0
0 1 1 0 0

Analysts' evaluations of 12-month price targets offer additional insights, showcasing an average target of $346.25, with a high estimate of $380.00 and a low estimate of $325.00. This upward trend is evident, with the current average reflecting a 5.24% increase from the previous average price target of $329.00.

price target chart

Investigating Analyst Ratings: An Elaborate Study

A clear picture of Reliance's perception among financial experts is painted with a thorough analysis of recent analyst actions. The summary below outlines key analysts, their recent evaluations, and adjustments to ratings and price targets.

Analyst Analyst Firm Action Taken Rating Current Price Target Prior Price Target
Philip Gibbs Keybanc Lowers Overweight $325.00 $341.00
Timna Tanners B of A Securities Lowers Neutral $335.00 $340.00
Katja Jancic BMO Capital Lowers Outperform $345.00 $355.00
Daniel Knauff Citigroup Raises Neutral $380.00 $280.00

Key Insights:

  • Action Taken: Analysts adapt their recommendations to changing market conditions and company performance. Whether they 'Maintain', 'Raise' or 'Lower' their stance, it reflects their response to recent developments related to Reliance. This information provides a snapshot of how analysts perceive the current state of the company.
  • Rating: Providing a comprehensive analysis, analysts offer qualitative assessments, ranging from 'Outperform' to 'Underperform'. These ratings reflect expectations for the relative performance of Reliance compared to the broader market.
  • Price Targets: Analysts explore the dynamics of price targets, providing estimates for the future value of Reliance's stock. This examination reveals shifts in analysts' expectations over time.

Understanding these analyst evaluations alongside key financial indicators can offer valuable insights into Reliance's market standing. Stay informed and make well-considered decisions with our Ratings Table.

Stay up to date on Reliance analyst ratings.

All You Need to Know About Reliance

Reliance Inc is a diversified metal solutions provider and metals service center company. It provides value-added metals processing services and distributes.

Key Indicators: Reliance's Financial Health

Market Capitalization: Boasting an elevated market capitalization, the company surpasses industry averages. This signals substantial size and strong market recognition.

Decline in Revenue: Over the 3 months period, Reliance faced challenges, resulting in a decline of approximately -8.08% in revenue growth as of 31 March, 2024. This signifies a reduction in the company's top-line earnings. When compared to others in the Materials sector, the company faces challenges, achieving a growth rate lower than the average among peers.

Net Margin: Reliance's financial strength is reflected in its exceptional net margin, which exceeds industry averages. With a remarkable net margin of 8.31%, the company showcases strong profitability and effective cost management.

Return on Equity (ROE): Reliance's ROE surpasses industry standards, highlighting the company's exceptional financial performance. With an impressive 3.87% ROE, the company effectively utilizes shareholder equity capital.

Return on Assets (ROA): Reliance's ROA surpasses industry standards, highlighting the company's exceptional financial performance. With an impressive 2.86% ROA, the company effectively utilizes its assets for optimal returns.

Debt Management: Reliance's debt-to-equity ratio is below the industry average at 0.17 , reflecting a lower dependency on debt financing and a more conservative financial approach.

What Are Analyst Ratings?

Ratings come from analysts, or specialists within banking and financial systems that report for specific stocks or defined sectors (typically once per quarter for each stock). Analysts usually derive their information from company conference calls and meetings, financial statements, and conversations with important insiders to reach their decisions.

Some analysts publish their predictions for metrics such as growth estimates, earnings, and revenue to provide additional guidance with their ratings. When using analyst ratings, it is important to keep in mind that stock and sector analysts are also human and are only offering their opinions to investors.

This article was generated by Benzinga's automated content engine and reviewed by an editor.

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Reliance Industries Limited - statistics & facts

Reliance’s most successful businesses, diversifying with the times, key insights.

Detailed statistics

Net worth of Reliance Industries FY 2014-2023

Reliance Industries revenue FY 2023, by business

Reliance Jio revenue FY 2019-2023

Editor’s Picks Current statistics on this topic

Brands & Leaders

Reliance Industries' brand value 2016-2023

Business Enterprise

Turnover of Reliance Industries FY 2014-2023

Further recommended statistics

  • Basic Statistic Biggest companies in the world by market value 2023
  • Premium Statistic Leading companies in India 2023 by net profit
  • Premium Statistic Leading 10 Indian brands 2023, by brand value
  • Premium Statistic B2B companies in India 2023, by market capitalization

Biggest companies in the world by market value 2023

The 100 largest companies in the world by market capitalization in 2023 (in billion U.S. dollars)

Leading companies in India 2023 by net profit

Leading companies in India in 2023, by profit after tax (in trillion Indian rupees)

Leading 10 Indian brands 2023, by brand value

Leading 10 Indian brands in 2023, by brand value (in billion U.S. dollars)

B2B companies in India 2023, by market capitalization

Business to business (B2B) companies in India as of January 2023, by market capitalization (in billion U.S. dollars)

Key financial figures

  • Premium Statistic Reliance Industries' brand value 2016-2023
  • Basic Statistic Market capitalization of Reliance Industries FY 2014-2023
  • Premium Statistic Turnover of Reliance Industries FY 2014-2023
  • Premium Statistic Net worth of Reliance Industries FY 2014-2023
  • Premium Statistic Profit after tax of Reliance Industries FY 2014-2023
  • Premium Statistic Reliance Industries revenue FY 2023, by business

Reliance Industries' brand value 2016-2023

Brand value of Reliance Industries Limited between 2016 and 2023 (in billion U.S. dollars)

Market capitalization of Reliance Industries FY 2014-2023

Market capitalization value of Reliance Industries Limited from financial year 2014 to 2023 (in billion Indian rupees)

Turnover of Reliance Industries Limited in India from financial year 2014 to 2023 (in billion Indian rupees)

Net worth of Reliance Industries Limited from financial year 2014 to 2023 (in billion Indian rupees)

Profit after tax of Reliance Industries FY 2014-2023

Profit after tax of Reliance Industries Limited from financial year 2014 to 2023 (in billion Indian rupees)

Revenue of Reliance Industries Limited in financial year 2023, by business (in billion Indian rupees)

Energy and chemicals

  • Premium Statistic Leading global oil and gas producers based on market cap June 2024
  • Premium Statistic Revenue of Reliance Refining and Marketing FY 2010-2020
  • Premium Statistic Revenue of Reliance Petrochemicals FY 2010-2020
  • Premium Statistic Revenue of Reliance Exploration and Production FY 2017-2022

Leading global oil and gas producers based on market cap June 2024

Leading oil and gas companies worldwide based on market capitalization as of June 2024 (in billion U.S. dollars)

Revenue of Reliance Refining and Marketing FY 2010-2020

Revenue of Reliance Refining and Marketing from financial year 2010 to 2020 (in billion Indian rupees)

Revenue of Reliance Petrochemicals FY 2010-2020

Revenue of Reliance Petrochemicals from financial year 2010 to 2020 (in billion Indian rupees)

Revenue of Reliance Exploration and Production FY 2017-2022

Revenue of Reliance Exploration and Production from financial year 2017 to 2022 (in billion Indian rupees)

  • Premium Statistic Number of retail grocery outlets India 2013-2022
  • Premium Statistic Online grocery & beverage shopping by store brand in India 2024
  • Premium Statistic Revenue of Reliance Retail FY 2010-2023
  • Premium Statistic Reliance Retail's number of stores FY 2015-2023

Number of retail grocery outlets India 2013-2022

Number of retail grocery outlets across India from 2013 to 2022 (in millions)

Online grocery & beverage shopping by store brand in India 2024

Online grocery & beverage shopping by store brand in India as of March 2024

Revenue of Reliance Retail FY 2010-2023

Revenue of Reliance Retail from financial year 2010 to 2023 (in billion Indian rupees)

Reliance Retail's number of stores FY 2015-2023

Number of stores of Reliance Retail Limited from financial year 2015 to 2023 (in 1,000s)

Digital services

  • Premium Statistic Share of internet subscribers in India December 2023, by service provider
  • Premium Statistic Reliance Jio revenue FY 2019-2023
  • Premium Statistic Reliance Jio's wireless subscriber share 2018-2023
  • Premium Statistic Number of wireline subscribers for Reliance Jio December 2023, by service area
  • Premium Statistic Number of unique visitors of JioCinema's mobile app 2017-2022

Share of internet subscribers in India December 2023, by service provider

Distribution of internet subscribers in India as of December 2023, by service provider

Revenue of Reliance Jio from financial year 2019 to 2023 (in billion Indian rupees)

Reliance Jio's wireless subscriber share 2018-2023

Wireless subscribers share of Reliance Jio Infocomm Limited from December 2018 to December 2023

Number of wireline subscribers for Reliance Jio December 2023, by service area

Number of wireline subscribers for Reliance Jio as of December 2023, by service area (in 1,000s)

Number of unique visitors of JioCinema's mobile app 2017-2022

Number of unique visitors on mobile app of JioCinema across India from March 2017 to March 2022 (in millions)

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Reliance industries limited (reliance.ns).

  • Previous Close 3,201.80
  • Open 3,195.20
  • Day's Range 3,161.00 - 3,201.00
  • 52 Week Range 2,220.30 - 3,217.60
  • Volume 3,479,828
  • Avg. Volume 6,450,043
  • Market Cap (intraday) 21.52T
  • Beta (5Y Monthly) 0.63
  • PE Ratio (TTM) 30.95
  • EPS (TTM) 102.78
  • Earnings Date Jul 19, 2024 - Jul 23, 2024
  • Forward Dividend & Yield 9.00 (0.28%)
  • Ex-Dividend Date Aug 21, 2023
  • 1y Target Est 2,272.10

Reliance Industries Limited Overview Oil & Gas Refining & Marketing / Energy

Reliance Industries Limited engages in hydrocarbon exploration and production, oil and chemicals, textile, retail, digital, material and composites, renewables, and financial services businesses worldwide. The company produces and markets petroleum products, such as liquefied petroleum gas, propylene, naphtha, gasoline, jet/aviation turbine fuel, kerosene oil, diesel, Sulphur, and petroleum coke. It also provides petrochemicals, including high-density and low-density polyethylene (PE), linear low density PE, polyester fibers and yarns, polypropylene, polyvinyl chloride, purified terephthalic acid, ethylene glycols and oxide, paraxylene, ortho xylene, benzene, linear alkyl benzene and paraffin, poly butadiene rubber, styrene butadiene rubber, butyl rubber, and polyethylene terephthalate. In addition, the company manufactures and markets yarns, fabrics, apparel, and auto furnishings; explores, develops, and produces crude oil and natural gas; and operates various stores comprising neighborhood, supermarket, hypermarket, wholesale cash and carry, specialty, online stores, as well as stores that offer apparel, beauty and cosmetics, accessories, footwear, consumer electronics, connectivity products, and others. Further, the company provides range of digital services under the Jio brand name; and non-banking financial and insurance broking services. Additionally, it operates news and entertainment platforms, and Network18 and television channels; publishes magazines; and offers highway hospitality and fleet management services. Reliance Industries Limited was incorporated in 1973 and is based in Mumbai, India.

Full Time Employees

Fiscal year ends.

Oil & Gas Refining & Marketing

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Performance overview: reliance.ns.

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Research Analysis: RELIANCE.NS

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Reliance Industries set to invest $60 bn in 10 years: Morgan Stanley report

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Signage for Reliance Industries Ltd. in Gujarat, India.Photographer: Dhiraj Singh/Bloomberg

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The telecom vertical for Reliance Industries represented by Jio, is also seeing improved prospects led by the recent price hikes announced by most of the companies in the telecom sector.

Currently in their model for telecom, Morgan Stanley has said that they have assumed cumulative average revenues per user (ARPU) increases of 19-20% in the July-September quarter or Q2FY25 and also in 3QF25 .

They had also noted in their earlier (27 June report) that there is an increased focus on monetization for a) increasing the threshold for getting unlimited free data for 5G, which could help in some upgrades, and b) launching new value-added services for an additional charge

Disclaimer: The views and recommendations made above are those of individual analysts or broking companies, and not of Mint. We advise investors to check with certified experts before taking any investment decisions

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Reliance, Inc. (RS)

(delayed data from nyse).

$280.70 USD

+0.19 (0.07%)

Updated Jul 8, 2024 04:00 PM ET

After-Market: $280.64 -0.06 (-0.02%) 7:58 PM ET

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Hidden Exposure: Measuring US Supply Chain Reliance

Supply chain problems, previously relegated to specialized journals, now appear in G7 Leaders’ Communiqués. Our paper looks at three core elements of the problems: measurement of the links that expose supply chains to disruptions, the nature of the shocks that cause the disruptions, and the criteria for policy to mitigate the impact of disruptions. Utilizing global input-output data, we show that US exposure to foreign suppliers, and particularly to China, is ‘hidden’ in the sense that it is much larger than what conventional trade data suggest. However, at the macro level, exposure remains relatively modest, given that over 80% of US industrial inputs are sourced domestically. We argue that many recent shocks to supply chains have been systemic rather than idiosyncratic. Moreover, systemic shocks are likely to arise from climate change, geoeconomic tensions, and digital disruptions. Our principal conclusion is that concerns regarding supply chain disruptions, and policies to address them, should focus on individual products, rather than the whole manufacturing sector.

This is an early version of the paper prepared for the Fall 2023 Brookings Papers on Economic Activity (BPEA) conference and the final version of this paper will be published in the Fall 2023 BPEA issue. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research.

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Kfin technologies private limited.

(Formerly known as Karvy Fintech Private Ltd.) (Registrar & Share Transfer Agents)

  • 6th Floor, Selenium Tower B, Plot 31-32, Gachibowli Financial District, Nanakramguda, Hyderabad - 500 032, Telangana, India
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What's Going On With Reliance Global Stock After Its Reverse Split?

Zinger key points.

  • Reliance Global shares begin trading on a 1-for-17 reverse split-adjusted basis at Monday’s opening bell. 
  • Reliance Global announces the creation of a new Real Estate division intended to supplement its current business.

Reliance Global Group, Inc. RELI shares are trading higher Monday. The stock began trading on a 1-for-17 reverse split-adjusted basis at Monday's opening bell. 

What To Know:

Reliance Global also announced the creation of a new Real Estate division intended to supplement, and not replace, its focus on acquiring accretive and cash flow positive insurance agencies. Reliance said it plans to launch the real estate division following the completed acquisition of Spetner Associates , expected to close in the second half of 2024. 

Read Next: Lululemon Stock Dips After Nike’s Q4 Report: What’s Going On?  

“We are excited to launch a significant initiative—a new division within Reliance dedicated to the acquisition and development of multi-family and commercial real estate properties. We are also pleased to announce that Abe Miller will be joining the Company to head this division and provide strategic guidance on our future real estate endeavors," commented Ezra Beyman , CEO of Reliance.

Should I Sell My RELI Stock?

Whether to sell or hold a stock largely depends on an investor's strategy and risk tolerance. Swing traders may sell an outperforming stock to lock in a capital gain, while long-term investors might ride out the turbulence in anticipation of further share price growth.

Similarly, traders willing to minimize losses may sell a stock that falls a certain percentage, while long-term investors may see this as an opportunity to buy more shares at a discounted price.

Shares of Reliance Global Group have lost 95.09% year to date. This compares to the average annual return of -83.95%, meaning the stock has underperformed its historical averages. Investors can compare a stock's movement to its historical performance to gauge whether this is a normal movement or a potential trading opportunity.

Investors may also consider market dynamics. The Relative Strength Index can be used to indicate whether a stock is overbought or oversold. Reliance Global Group stock currently has an RSI of 37.95, indicating neutral conditions.

For analysis tools, charting data and access to exclusive stock news, check out Benzinga PRO. Try it for free.

RELI Price Action: According to Benzinga Pro , Reliance Global Group shares are up 10% at $4.23 at the time of publication Monday.

  • Why Psychedelic-Pharma Clearmind Medicine Stock Is Moving Higher

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WHO Publishes new guidance to promote Strong, Efficient and Sustainable Regulatory Systems

The World Health Organization, (WHO) has recently published two documents that will be critical for countries’ regulatory system strengthening activities, including regulatory cooperation, convergence and transparency.

Good Regulatory Practices (GRP) and Good Reliance Practices (GReP), published as Annexes 10 and 11 in the 55 th report of the WHO Expert Committee on Specifications for Pharmaceutical Preparations (ECSPP) (WHO Technical Report Series 1033) 1 aim to support countries in improving the oversight and regulation of medicines and health products, and to promote greater collaboration between regulators regionally and internationally to leverage resources more efficiently and ensure quality health products reach people faster.

“Efficient regulation of medical products through the implementation of Good Regulatory Practices is now needed more than ever to face the current regulatory oversight challenges posed by the global pandemic,” said Dr Mariângela Simão, WHO Assistant Director-General, Access to Medicines and Health Products  “Reliance and cooperation between regulators have been key in facilitating emergency authorizations for Covid-19 health tools and rapid responses when suspected side effects have emerged.”

Good Regulatory Practices

The Good Regulatory Practices (GRP) document provides advice to establish and implement sound, affordable, efficient regulation of medical products as an important part of health system performance and sustainability.  It presents widely recognized principles derived from an extensive review of public documents issued by governments and multilateral organizations as well as many consultative workshops, benchmarking exercises and interactions with countries’ realities.

The nine principles presented in this document – legality, consistency, independence, impartiality, proportionality, flexibility, clarity, efficiency and transparency – are relevant to all authorities responsible for the regulation of medical products, irrespective of their resources, sophistication or regulatory model. Regulated parties and other stakeholders also have important roles to play in implementing GRP and achieving an efficient regulatory environment.

Good Reliance Practices

WHO supports reliance among regulators to make the best use of available resources and expertise.  This principle allows leveraging the output of other regulators whenever possible while placing a greater focus at national level on value-added regulatory activities.  The purpose of the Good Reliance Practices (GRelP) is to promote a more efficient approach to regulation, thereby improving and expediting access to quality-assured, effective and safe medical products.

The guidance was developed based on recommendations on regulatory reliance principles of the Pan American Health Organization and the Pan American Network for Drug Regulatory Harmonization 2 and on responses to a survey on reliance conducted among regulatory authorities in 2018-2019 on behalf of the International Pharmaceutical Regulators Programme 3 .

GRelP presents the overarching principles of regulatory reliance in the field of regulation of medical products 4 , addressing all the regulatory functions in the life cycle of these products.  In addition, key concepts, general considerations and discussion on potential barriers and enablers are presented in order to facilitate the implementation of reliance approaches.

Implementation of the two high-level documents will be facilitated by practical guidance and other tools such as a global repository of reliance approaches.  They are also completing a set of documents already published by WHO to guide Member States in building efficient regulatory systems, notably the recent release of WHO guideline on the implementation of quality management systems for national regulatory authorities 2 .

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SBI Research Calls for Dedicated PLI Scheme to Boost MSMEs

Sbi research advocates a production linked incentive (pli) scheme for msmes to enhance their sectoral contribution. the existing pli scheme has spurred investments and economic growth, benefiting industries like textiles, electronics, and food processing. a tailored approach could further empower msmes and reduce import reliance..

SBI Research Calls for Dedicated PLI Scheme to Boost MSMEs

SBI Research has proposed a dedicated Production Linked Incentive (PLI) scheme tailored specifically to the needs of Micro, Small, and Medium Enterprises (MSMEs). This could enhance their contribution to various sectors, including textiles, garments, food processing, and electronics, thereby fostering economic growth.

As per the latest SBI Research report, January 2024 saw the approval of 746 applications under the PLI scheme across 14 sectors, with investments expected to exceed Rs 3 lakh crore. Notably, MSMEs constituted 24 percent of these applications, underscoring the scheme's positive impact on smaller businesses.

By November 2023, the PLI scheme had attracted investments worth over Rs 1 lakh crore and catalyzed incremental sales amounting to Rs 8.61 lakh crore. This includes an export share of around 40 percent, highlighting its success in strengthening India's manufacturing capabilities and global market presence.

Large-scale sectors such as electronics, pharmaceuticals, food processing, and telecom products have significantly contributed to this growth, with exports surpassing Rs 3.20 lakh crore. MSMEs, crucial to India's economy, contribute approximately 45 percent to exports and 40 percent to manufacturing GVA.

The inclusion of MSMEs in the PLI scheme has been transformative, providing them with the necessary support to scale operations and enhance competitiveness. Sectors such as bulk drugs, medical devices, and textiles have particularly benefited.

In the food processing sector, the PLI scheme has increased raw material sourcing from Indian farmers and MSMEs, boosting local incomes and strengthening supply chains.

The PLI scheme's impact spans multiple sectors, adding to India's economic fabric. Textiles, with its labor-intensive nature and export potential, has seen increased investments and production.

This surge has created numerous employment opportunities, especially in rural areas. Handicraft and leather industries, rooted in India's heritage, have received renewed focus under the PLI scheme, empowering artisans and small business owners.

The food processing sector has seen a boost due to increased domestic raw material sourcing, benefiting farmers and MSMEs. Electronics and auto components have also thrived, reducing import dependency and enhancing technological prowess.

A call grows for a separate PLI scheme for MSMEs to amplify their export and manufacturing contributions while generating employment in diverse sectors. A dedicated scheme could reduce import reliance, empower MSMEs, and bolster India's global market position.

(Disclaimer: With inputs from agencies.)

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Reliance Jio Infocomm - Company Profile

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All the data and insights you need on Reliance Jio Infocomm in one report.

Reliance Jio Infocomm Company Profile

Published: February 21, 2024 Report Code: CMT1381897-CP

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Get an overview of Reliance Jio Infocomm's strategic plans with a geographical and thematic spread of M&A and investment strategy with corporate venturing and financial and legal adviser associations. Forward-looking Signals

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Insights from management, analyst sentiment and the divergence from earnings call transcripts. Furthermore, CXO priorities around investments, acquisitions, R&D, human capital, evolving risk exposures and geographic concerns help in understanding key strategic developments.

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Gain understanding on the Reliance Jio Infocomm market positioning compared to its key peers . for a comparative analysis of all key signals including deals, patents, hiring and social media. Also . track strategic developments, financial performance across the Reliance Jio Infocomm peers.

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Reliance Jio Infocomm Company Profile

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reliance research report

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Automation has reached its tipping point for omnichannel warehouses

Never before has the competition for warehouse and fulfillment labor been so fierce, strongly driven by sustained growth in B2C channels. In the United States, for example, employment levels across distribution centers are at all-time highs and wages have risen to well above $18 an hour, yet attracting and retaining warehouse employees remains elusive. In the short term, strategies such as bonuses, accelerated pay raises, and tuition reimbursement are helping. But the long-term implications of a high reliance on labor are clear: automation in warehousing is no longer just nice to have but an imperative for sustainable growth.

About the authors

This article is a collaborative effort by John Barbee, Alan Davies, Raoul Dubeauclard, Tim Lange, and Christoph Lennartz, representing views from McKinsey’s Consumer & Retail Practice.

Fueled by venture capital over the past five years, the automation industry has seen increased availability of new warehouse-automation innovations, supply chain as a service (SCaaS) models, and technology that integrates multiple solutions to help retailers address some of these challenges.

For instance, the adoption of autonomous mobile robots (AMRs), technology that eliminates significant nonproductive walking time in warehouses, has progressed from early-stage pilots about four years ago to multiple at-scale deployments today. For example, DHL rolled out 1,000 Locus Robotics AMRs and will deploy up to 2,000 robots by 2022. 1 Steven Crowe, “Locus Robotics scaling AMR deployments with DHL supply chain,” The Robot Report , June 2, 2021, therobotreport.com. These technologies aren’t just for larger companies. German toy retailer Rofu Kinderland built a new warehouse that includes 57 robots retrieving 3,500 different products from more than 28,000 bins, increasing efficiency and delivery speeds. 2 Melanie Wack, “E-Commerce: AutoStore für Spiel-, Schreibwaren und Dekorationsartikel,” Logistik Heute , November 12, 2020, logistik-heute.de. Innovators are gaining momentum as well. For example, Alert Innovation developed a microfulfillment-center technology platform for Walmart to handle the demands of grocery e-commerce. The proof-of-concept pilot system is now in full operation.

Automation capabilities will play an influential role in the future size and scale of omnichannel networks. To successfully navigate the many choices for automation, retailers must have an informed perspective on where automation can create value, reduce risk, and improve reliability across an increasingly complex network of fulfillment nodes. Retailers should then use a three-step process—strategy, design, and implementation—to translate their vision into an optimal automated warehouse.

The changing face of the warehouse-automation industry

Investments from retailers in automation are poised to fuel significant industry growth: the warehouse-automation market is forecast to reach $51 billion by 2030, a CAGR of 23 percent. 3 David Edwards, “Revenues from robotics in warehouses to exceed $51 billion by 2030,” Robotics and Automation News , August 19, 2021, roboticsandautomationnews.com. The wave of innovation in warehousing has been fueled disproportionately by venture-capital funding for new start-ups, whose solutions increasingly influence the future of the omnichannel warehouse. In addition, private equity has provided a significant tailwind for key companies. For example, SoftBank invested $2.8 billion in AutoStore, an automation provider geared to the e-commerce and grocery industries. 4 Sam Shead, “SoftBank invests $2.8 billion in Norwegian robotics firm AutoStore,” CNBC, April 6, 2021, cnbc.com. Many of these technologies—for example, automated guided vehicles (AGVs) or the next level of automation AMRs as unmanned transport next to warehouse employees—have proved their effectiveness at scale in addressing the challenges of traditional e-commerce warehouses, such as labor shortages, SKU-complexity growth, and increasing service expectations.

Increased M&A and investment

Marketplaces and platform players have long recognized the importance of automation and have been rapidly acquiring robotics companies. Several at-scale investments have grabbed headlines. In 2019, the online marketplace Shopify spent $450 million to acquire automation provider 6 River Systems, with the goal of extending its AI-enabled fulfillment network. 5 Emil Protalinski, “Shopify acquires 6 River Systems for $450 million to expand its AI-powered fulfillment network,” VentureBeat, September 9, 2019, venturebeat.com. Amazon is developing proprietary automation solutions via Amazon Robotics to improve warehouse productivity and lessen the labor burden. Zalando has partnered with multiple automation partners to accelerate consumer-delivery times and improve operating efficiencies.

Several retailers have publicly committed significant capital toward their automation strategies. For instance, Walmart plans to allocate nearly $14 billion for warehouse automation and other business areas, 6 Tonya Garcia, “Walmart to invest nearly $14 billion in automation and other business areas in fiscal 2022,” MarketWatch, February 22, 2021, marketwatch.com. and ASOS announced $100 million in spending to expand the capacity and productivity of its warehouses. 7 “Retailer ASOS to spend $100M to automate Georgia warehouse,” U.S. News, July 12, 2021, usnews.com. These moves are indicative of an industry-wide focus on automation, now even further accelerated as a response to changing market conditions brought about by the COVID-19 pandemic. 8 “Warehouse automation investment up due to COVID-19,” Material Handling and Logistics, July 13, 2020, mhlnews.com; Mark Dunaway, “Why are so many companies investing in warehouse automation?,” Modern Materials Handling, January 10, 2020, mmh.com.

Larger players in the warehouse-automation industry have sought to create distinctive and integrated capabilities through acquisition. For instance, Toyota Material Handling has acquired integrators including Vanderlande and Bastian Solutions, Kion Group has acquired Dematic and software company Digital Applications International, and Honeywell has acquired Intelligrated and Transnorm. Acquirers are seeking to develop more end-to-end solution sets rather than point technologies as they seek to unlock greater value through integrated solutions. The automation market remains concentrated, with the top five automation and material-handling players still accounting for more than 50 percent of current market share. 9 “Warehouse automation market,” LogisticsIQ, 2021, thelogisticsiq.com. Beyond the top ten in each region, players mostly are specialty and niche automation providers.

Automation in action

Leading retailers are aiming to make warehouses responsive, resilient, and reliable to accommodate the ever-growing e-commerce market and incorporate lessons from the global pandemic. Along with improving existing warehouse capabilities and enabling new nodes of fulfillment (such as urban fulfillment centers), they view warehouse automation as an important part of the solution. In a recent McKinsey survey of 50 retailers across apparel, grocery, and other key sectors, more than 80 percent of respondents indicated they intend to increase automation investments over the next two to three years. 10 For more, see “ Retail speaks: Seven imperatives for the retail industry ” on McKinsey.com.

And it’s worth it: some retailers have cracked the code and have begun rolling out ambitious upgrades. As part of a €500 million initiative, Edeka invested €93 million to expand its existing warehouse in Berbersdorf, increasing the total number of SKUs from 2,900 to 12,700 while adding a 300,000-square-foot, partially automated picking-and-storage area. 11 Stefanie Schmitt, “EDEKA Nordbayern-Sachsen-Thüringen erweitert Logistikzentrum in Berbersdorf für rund 93 Mio. €,” EDEKA, March 12, 2021, verbund.edeka.

Leading retailers are aiming to make warehouses responsive, resilient, and reliable to accommodate the ever-growing e-commerce market.

Navigating automation choices

Multiple technological advancements have pushed the boundaries of what is possible in warehouse automation. As part of an overarching automation strategy, retailers that develop an end-to-end vision for the warehouse of the future have to identify the specific use cases and unlock value (Exhibit 1). Navigating the choices has become more complex, with new providers entering the market and larger conglomerates and venture-capital funds pursuing consolidation in an effort to build an integrated portfolio of solutions for clients. Acquisitions within the automation-provider landscape will continue, significantly increasing the pressure on automation companies to offer warehouses end-to-end solutions.

We envision three warehouse archetypes that will inform the design of automation systems: dedicated, shared, and integrated omnichannel (Exhibit 2). These archetypes can help retailers narrow down the set of use cases and solution sets and better understand the complex choices among automation providers, integrators, and start-ups.

Dedicated warehouses

This archetype consists of warehouses specifically designed for a given channel (such as e-commerce), product flow (for example, consolidation), or product type (apparel versus hard goods). Generally, dedicated warehouses solve for scale and cost efficiency in the network. Distribution formats can range from large-scale facilities that cover national distribution needs (more than one million square feet) to smaller, urban-based fulfillment centers (less than 20,000 square feet) that balance same-day and next-day speed with cost efficiency.

Given the specific focus of these distribution formats, integrated and specialized end-to-end automation concepts generally work best. These warehouses benefit from improved space efficiency, greater labor productivity, faster four-wall cycle time, 12 Cycle time from entering until exiting the warehouse. and downstream efficiencies (such as store-friendly pallets). Examples of dedicated warehouses include retail fulfillment (Amazon Go stores), national e-commerce fulfillment (Zara), store replenishment (such as Albertsons and Carrefour), delivery centers for small parcels (Post), and category-specific facilities (such as Reckitt Benckiser and Zalando).

Shared warehouses

Warehouses serving multiple channels or product segments, which may include wholesale and direct-to-consumer (DTC) channels or ambient and perishable-product segments, make up this archetype. While these warehouses exist under the same roof, the operations and inventories are independently managed by channel. This archetype offers greater flexibility than a dedicated warehouse in that multiple channels and categories may be served under one roof or in a campus setting. The multipurpose structure has several benefits: more efficient use of distribution space, cost savings from consolidated labor and overhead, and external advantages such as inbound consolidation. The systems technology and automation may need to support specific flows, handling requirements, and order profiles of each channel. As a result, individual warehouses still operate mostly independently. Automation solutions can still be integrated, but they may combine various fit-for-purpose technologies to address unique channel needs—for example, a retail-store warehouse could be on the side of the building (with automated pallet and case storage where store replenishment orders are prepared), while the e-commerce warehouse could be on mezzanines where individual units are picked with a multishuttle or autostore.

Integrated omnichannel warehouses

Omnichannel warehouses seamlessly serve all channels in the network and generally have the technology and systems to handle inventory across a mostly common stock pool (for example, the same picking locations or an automated storage system). These facilities offer the greatest flexibility in the network and reduce systemwide inventory-carrying costs, but retailers may have to make trade-offs on cycle time, dedicated capacity, and productivity. The set of automation solutions, which may be a hybrid of the capability or shared archetypes, could allow convergence in upstream warehouse processes such as inbound and storage. Distribution operations may have different requirements for fulfillment-execution processes to meet the needs of individual order profiles and channels. For example, online consumers might order small quantities and request a lead time of less than 24 hours, while stores might accept 48-hour or longer lead times with larger volumes being picked and shipped. Hence, the requirements in warehouse operations need to be matched along the steps across channels, balancing the trade-offs of solution benefits.

This archetype, which is best suited for stores that order in eaches 13 A unit of measure where each individual piece is tracked by the computer system. (an approach many apparel and electronics retailers take), can support a shared picking location between stores and online. It provides two benefits: First, it allows inventory pooling and the more efficient use of space. Second, it enables increased scale for automation and the better use of system capacity, with the ability to handle stores and online channels with different seasonality and peaks.

Because each type has its own advantages, identifying and implementing the optimal solution requires an informed decision-making process.

Selecting the right automation solutions

In response to a rapidly changing marketplace, many retailers are moving away from a single solution or turnkey provider and building a portfolio of solutions to fit their network. Traditionally, partnering with a turnkey provider offered advantages, such as integration across multiple solutions and pricing transparency. While this still holds true, the pace of innovation in solutions continues to accelerate, and innovations in technology and operating models provide compelling reasons to explore a multipartner strategy.

For instance, along with technological innovation, many new robotics and automation providers have innovated as-a-service models (XaaS), such as robotics as a service (RaaS) and fulfillment as a service (FaaS). These solutions alleviate the traditional hurdles of up-front capital risk (RaaS helps retailers overcome ROI hurdles such as a payback of two to three years) and offer retailers a variable cost structure better aligned to testing and learning across new technologies and concepts. Because of lower investment levels, retailers are now able to test and learn with selected partners, building up their automation capabilities. Companies can excel in innovation by replacing their tried-and-true approaches to warehouse automation with in-house capabilities to explore earlier-stage implementation. For example, companies can conduct a pilot with AMRs that assist picking operations alongside employees on site. The benefits of this experimentation can be significant—for example, progressing from proof of concept to large-scale implementations.

The range of design and implementation choices varies considerably depending on strategy. An AMR project may require six to eight weeks to pilot, whereas case multishuttles can take 12 months or more to accommodate infrastructure procurement and build-out. In our experience, a three-step process can help retailers determine the right approach to warehouse automation.

Traditionally, retailers might take a site-by-site view of their automation strategy. This exercise includes both establishing criteria for prioritizing automation opportunities and defining business cases to evaluate fit-for-purpose use cases and potential partners for a new or existing operation. We find the more innovative retailers are taking an end-to-end view of their network, developing scenarios for both productivity and short- and longer-term labor risks. A balanced approach to use cases may open up a variety of solutions, while the site-to-site approach focuses solely on payback for individual locations.

In this step—segmented into preconceptual, conceptual, and detailed design—retailers conduct a financial evaluation, create optimized warehouse designs, and select providers by stress testing simulations. The design workshops include retailers, joined by their chosen automation suppliers; beyond them, an objective, informed, third-party perspective—for example, via consultancy—is essential to reach the optimal design. The design process goes beyond the selection of automation to encompass warehouse analytics, strategic network effects, and much more.

Implementation

Where necessary, retailers can identify and select a warehouse-automation system integrator or can orchestrate across a set of partners to build the case-specific automated warehouse. Some companies may also select a logistics service provider to operate the new warehouses and orchestrate the warehouse launch, based on a case-by-case evaluation.

This process has repeatedly captured substantial value because even small decisions (for example, initial product-segment growth assumptions that, in the end, significantly influence automation-picking capacities) have a major impact on projects of this scale. By following this holistic approach, retailers can create a compelling business case for automation and gain buy-in for investments.

The rise of e-commerce in omnichannel has elevated the demand for warehouse automation across industries. Retailers that innovate in this space can keep pace with high consumer expectations for service and personalization. A structured approach helps to pinpoint their current status, identify available and suitable options, and implement warehouse automation and utilization—including harnessing analytics enabled by warehouse automation. With these insights, companies can select the optimal automation for their warehouses.

John Barbee is a partner in McKinsey’s Atlanta office, Alan Davies is a senior expert in the Miami office, Raoul Dubeauclard is a senior expert in the Lyon office, Tim Lange is a partner in the Cologne office, and Cristoph Lennartz is a consultant in the Düsseldorf office.

The authors wish to thank Lucas Clement, Katharina Hauck, and Michael Kalt for their contributions to this article.

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Key Studies: Why Independent Matters

  • Jan 8, 2016
  • Stacy Mitchell
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reliance research report

We’ve organized these studies into the following categories:

  • Start-Ups These studies find that as the economy has become dominated by fewer and larger companies, there’s been a sharp decline in the formation of new businesses.
  • Inequality These studies find that the increasing size of corporations is driving inequality, while local and dispersed business ownership strengthens the middle class.
  • Economic Returns These studies find that local businesses recirculate a greater share of every dollar in the local economy, as they create locally owned supply chains and invest in their employees.
  • Jobs These studies show that locally owned businesses employ more people per unit of sales, and retain more employees during economic downturns, while big-box retailers decrease the number of retail jobs in a region.
  • Wages and Benefits These studies show that locally owned businesses are linked to higher income growth and lower levels of poverty, while big-box retailers, particularly Walmart, depress wages and benefits for retail employees. Studies in this section also quantify the costs of these big companies’ low wages to state healthcare programs and other forms of public assistance.
  • Social and Civic Well-Being These studies find that a community’s level of social capital, civic engagement, and well-being is positively related to the share of its economy held by local businesses, while the presence of mega-retailers like Walmart undermines social capital and civic participation.
  • Public Subsidies These studies document the massive public subsidies that overwhelmingly favor big businesses and have financed their expansion, and how this subsidized development has failed to produce real economic benefits for communities.
  • Taxes Building on the studies included in the previous category, “Public Subsidies,” these studies examine the differing impacts of locally owned businesses and big-box retailers on public finances. They find that large retailers systemically tilt the playing field in their favor by skirting their tax obligations, as well as that locally owned enterprises generate more tax revenue for cities, with less cost, than sprawling big-box shopping centers.
  • Existing Businesses These studies demonstrate how big-box retailers have significant negative effects on the number and vitality of nearby local businesses, in that they both lead to a loss of existing businesses, and contrary to the claims big-box retailers themselves often make, do not serve as a catalyst for new growth.
  • Consumers & Prices These studies find that chains are not always a bargain.

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1. START-UPS These studies find that as the economy has become dominated by fewer and larger companies, there’s been a sharp decline in the formation of new businesses that fuel economic growth.

“ Declining Business Dynamism in the United States: A Look at States and Metros .” Ian Hathaway and Robert E. Litan, The Brookings Institution , May 2014.

Though start-ups occupy a large place in the U.S.’s present tech-fueled imagination, new business formation has in fact been in steady decline. This study from researchers at the Brookings Institution and Ennsyte Economics quantifies this decline, finding that during the three decades between 1978 and 2011, the share of firms less than one year old fell by nearly half. This slump has accelerated in recent years in what the authors term a “precipitous drop” since 2006, which they call “noteworthy and disturbing.” In fact, the authors find, “the number of business deaths now exceed business births for the first time in the 30-plus year history of our data.” The study determines that this trend isn’t geographically isolated, and that business dynamism has declined in all 50 states and in all but a handful of more than 360 U.S. metropolitan areas.

“ The Importance of Young Firms for Economic Growth .” Jason Wiens and Chris Jackson, Entrepreneurship Policy Digest , Kauffman Foundation, Sept. 14, 2015.

This brief, which is a roundup of recent research, underlines the reasons why the decline in new business formation is so troubling. As the authors explain, young firms are the major contributor of new jobs. “New businesses account for nearly all net new job creation and almost 20 percent of gross job creation,” they write, adding, “companies less than one year old have created an average of 1.5 million jobs per year over the past three decades.” They link to several recent papers, such as two 2013 studies titled “How Firms Respond to Business Cycles: The Role of Firm Age and Firm Size,” and “Who Creates Jobs? Small Versus Large Versus Young,” that delve deeper into the economic and statistical analysis behind these findings.

2. INEQUALITY These studies find that the increasing size of corporations is driving inequality, while local and dispersed business ownership strengthens the middle class.

“ Wage Inequality and Firm Growth .” Holger M. Mueller, Paige P. Ouimet, and Elena Simintzi, LIS Working Paper 632, March 2015.

This paper finds that much of the dramatic increase in income inequality over the last two decades may be owed to consolidation in the economy and the growing market power of a small number of very large firms. Large firms pay higher wages on average than small firms do, but there’s significant variation across different types of workers, the authors find. At large firms, low- and medium-skilled employees earn about the same or a little less than their counterparts at small firms, while high-skilled employees are paid significantly more than similar positions at smaller companies. In other words, the gap between the best-paid workers and everyone else is much greater at big corporations than it is at small and medium-sized businesses. Using data from 1981 to 2010 on wages and the size of firms in 15 countries, the authors find a strong relationship between growth in the average firm size and rising levels of income inequality, particularly in the U.S. and U.K. They also find that in counties, such as Sweden and Denmark, where average firm size has stayed the same or declined, income inequality has grown much less. The paper concludes: “Our results suggest that part of what may be perceived as a global trend toward more wage inequality may be driven by an increase in employment by the largest firms in the economy.”

“A Firm-Level Perspective on the Role of Rents in the Rise in Inequality” [PDF]. Jason Furman and Peter Orszag, Oct. 2015.

This paper explores the possibility that a major factor driving economic inequality is corporate consolidation — the growing market share of a few big companies. The authors present data showing that a small number of firms now earn “super-normal” returns of roughly ten times the median return for all firms. This is up significantly since the mid-1990s, when the most successful companies earned about three times the median return. These “super-normal” returns, the authors suggest, could be the result of growing monopoly power that allows a few dominant firms to extract economic “rents,” or more income than they would earn in a truly competitive market. While the authors emphasize that their paper is not conclusive, they note that this hypothesis is consistent with data showing that much of the rise in inequality is due to an increasing disparity in how much workers, especially those at the top, earn at different firms in the same industry. That is, companies with super-normal returns are distributing those returns to both their shareholders and their top-level employees, helping to expand wage inequality.

3. ECONOMIC RETURNS These studies find that local businesses recirculate a greater share of every dollar in the local economy, as they create locally owned supply chains and invest in their employees.

“ Independent BC: Small Business and the British Columbia Economy ” [PDF]. Civic Economics , Feb. 2013.

Commissioned by the British Columbia division of the Canadian Union of Public Employees, this study analyzes the economic impact and market share of the province’s independent retailers and restaurants. With regard to economic impact, the study finds that, for every $1,000,000 in sales, independent retail stores generate $450,000 in local economic activity, compared to just $170,000 for chains. Among restaurants, the figures are $650,000 for independents and $300,000 for chains. Across both sectors, this translates into about 2.6 times as many local jobs created when spending is directed to independent businesses instead of chains. The study concludes that a shift of just 10 percent of the market from chains to independents would produce 31,000 jobs paying $940 million in annual wages to BC workers. With regard to market share, the study finds that while BC’s independent retailers captured just over half of all retail sales as recently as 2003, they have since lost ground. By 2010, independents accounted for 45 percent of BC’s overall retail sales and only 34 percent of the market with automobile and gasoline sales excluded. Although BC has a reputation for innovative planning initiatives, on this measure it lags the rest of Canada, where independents account for 42 percent of retail spending. Among restaurants, BC’s independent sector accounts for 72 percent of full-service dining and 19 percent of limited-service dining.

“ Indie Impact Study Series: Salt Lake City, Utah ” [PDF]. Civic Economics , Aug. 2012.

In this study, Civic Economics analyzed data from fifteen independent retailers and seven independent restaurants, all located in Salt Lake City, and compared their local economic impact with four national retail chains (Barnes & Noble, Home Depot, Office Max, and Target) and three national restaurant chains (Darden, McDonald’s, and P.F. Chang’s). The study found that the local retailers return a total of 52 percent of their revenue to the local economy, compared to just 14 percent for the national chain retailers. Similarly, the local restaurants recirculate an average of 79 percent of their revenue locally, compared to 30 percent for the chain eateries. What accounts for the difference? In a handy graphic, Civic Economics shows the breakdown. Independent businesses spend more on local labor, goods procured locally for resale, and services from local providers. This means a much larger share of the money spent at a locally owned store stays in the local economy, supporting a variety of other businesses and jobs.

“ Going Local: Quantifying the Economic Impacts of Buying from Locally Owned Businesses in Portland, Maine. ” Garrett Martin and Amar Patel, Maine Center for Economic Policy , Dec. 2011.

On a dollar-for-dollar basis, the local economic impact of independently owned businesses is significantly greater than that of national chains, this study concludes. Analyzing data collected from 28 locally owned retail businesses in Portland, Maine, along with corporate filings for a representative national chain, the researchers found that every $100 spent at locally owned businesses contributes an additional $58 to the local economy. By comparison, $100 spent at a chain store in Portland yields just $33 in local economic impact. The study concludes that, if residents of the region were to shift 10 percent of their spending from chains to locally owned businesses, it would generate $127 million in additional local economic activity and 874 new jobs.

“ Thinking Outside the Box: A Report on Independent Merchants and the Local Economy ” [PDF]. Civic Economics , Sept. 2009.

This study examined financial data from 15 locally owned businesses in New Orleans and compared their impact on the local economy to that of an average SuperTarget store. The study found that only 16 percent of the money spent at a SuperTarget stays in the local economy. In contrast, the local retailers returned more than 32 percent of their revenue to the local economy. The primary difference was that the local stores purchase many goods and services from other local businesses, while Target does not. The study concludes that even modest shifts in spending patterns can make a big difference to the local economy. If residents and visitors were to shift 10 percent of their spending from chains to local businesses, it would generate an additional $235 million a year in local economic activity, creating many new opportunities and jobs. Likewise, a 10 percent shift in the opposite direction – less spending at local stores and more at chains – would lead to an economic contraction of the same magnitude. Another noteworthy finding of the study is that locally owned businesses require far less land to produce an equivalent amount of economic activity. The study found that a four-block stretch of Magazine Street, a traditional business district, provides 179,000 square feet of retail space, hosts about 100 individual businesses, and generates $105 million in sales, with $34 million remaining in the local economy. In contrast, a 179,000-square-foot SuperTarget generates $50 million in annual sales, with just $8 million remaining in the local economy, and requires an additional 300,000 square feet of space for its parking lot. See our New Rules article for more background on this study.

“ Local Works: Examining the Impact of Local Business on the West Michigan Economy ” [PDF]. Civic Economics , Sept. 2008.

This study concludes that if residents of Grand Rapids and surrounding Kent County, Michigan, were to redirect 10 percent of their total spending from chains to locally owned businesses, the result would be $140 million in new economic activity for the region, including 1,600 new jobs and $53 million in additional payroll. The study calculates the market share of independent businesses in four categories: pharmacy (41 percent), grocery (52 percent), restaurants (50 percent), and banks (6 percent). It analyzes how much of the money spent at these businesses stays in the area compared to national chains. Local restaurants, for example, return more than 56 percent of their revenue to the local economy in the form of wages, goods and services purchased locally, profits, and donations. Chain restaurants return only 37 percent. Measuring the total economic impact of this difference, including indirect and induced activity, the study estimates that $1 million spent at chain restaurants produces about $600,000 in additional local economic activity and supports 10 jobs. Spending $1 million at local restaurants, meanwhile, generates over $900,000 in added local economic activity and supports 15 jobs. The study also analyzes the economic impact of independent vs. chain businesses on a square footage basis, noting, “In a largely built-out city like Grand Rapids, policy dictates seeking the highest and best use of available properties, and this analysis strongly supports the idea that local firms should be the preferred tenants for city sites.”

“ The San Francisco Retail Diversity Study ” [PDF]. Civic Economics , May 2007.

This study finds that San Francisco remains a stronghold for locally owned businesses, which generate sizable benefits for the city’s economy. The study has three parts. The first calculates market shares for independents and chains in several categories: bookstores, sporting goods stores, toy stores, and casual dining restaurants. In all four categories, independent businesses capture more than half of sales within the city of San Francisco, a much larger share than they have nationally. The second part examines the economic impact of locally owned businesses versus chains. It finds that local businesses buy more goods and services locally and employ more people locally per unit of sales (because they have no headquarters staff elsewhere). Every $1 million spent at local bookstores, for example, creates $321,000 in additional economic activity in the area, including $119,000 in wages paid to local employees. That same $1 million spent at chain bookstores generates only $188,000 in local economic activity, including $71,000 in local wages. The same was true in the other categories. For every $1 million in sales, independent toy stores create 2.22 local jobs, while chains create just 1.31. The final part of the study analyzes the impact of a modest shift in consumer spending. If residents were to redirect just 10 percent of their spending from chains to local businesses, that would generate $192 million in additional economic activity in San Francisco and almost 1,300 new jobs.

For additional studies on this topic, see:

  • “ The Andersonville Study of Retail Economics ” [PDF]. Civic Economics , October 2004.
  • “ The Economic Impact of Locally Owned Businesses vs. Chains: A Case Study in Midcoast Maine ” [PDF]. Institute for Local Self-Reliance and Friends of Midcoast Maine , September 2003.
  • “ Economic Impact Analysis: A Case Study ” [PDF]. Civic Economics , December 2002.

4. JOBS These studies show that locally owned businesses employ more people per unit of sales, and retain more employees during economic downturns, while big-box retailers decrease the number of retail jobs in a region.

“ The Contribution of Large and Small Employers to Job Creation in Times of High and Low Unemployment ” [PDF]. Giuseppe Moscarini and Fabien Postel-Vinay, American Economic Review , October 2012.

This study, by economists at Yale University and University of Bristol, finds that in times of high unemployment, small businesses both retain and create more jobs than large firms do. During the recession of March 2008 to March 2009, for instance, the employment growth rate of large employers fell 1.65 percent more than the growth rate of small employers, compared with the previous year. In every other recession and recovery in the study’s sample, large firms took years to recover relative to small firms. The authors use data on U.S. businesses spanning 1979-2009, and find that this correlation remains consistent across a variety of measures, including age of the firm, excluding entering and exiting firms, and within broad industries. They also examine Denmark, France, the U.K, and Canada, and find that their conclusion holds in other countries of different sizes. “Large employers on net destroy proportionally more jobs relative to small employers when unemployment is above trend, late in and right after a typical recession” the authors write. “Overall, this picture corroborates in part the common wisdom that small businesses are the engine of job creation: small firms appear to create more jobs as a fraction of their employment only when unemployment is high (which is, arguably, when jobs are most needed).”

“ The Effects of Walmart on Local Labor Markets ” [PDF]. David Neumark (University of California-Irvine), Junfu Zhang (Clark University), and Stephen Ciccarella (Cornell University), Journal of Urban Economics , March 2008.

This study presents the most sophisticated analysis to date of Walmart’s impact on retail employment and wages. Analyzing national data, the study found that the opening of a Walmart store reduces county-level retail employment by 150 jobs. Because Walmart stores employ an average of 360 workers, this suggests that for every new retail job created by Walmart, 1.4 jobs are lost as existing businesses downsize or close. The study also found that the arrival of a Walmart store reduces total county-wide retail payroll by an average of about $1.2 million. This study improves substantially on previous studies by convincingly accounting for the endogeneity of the location and timing of Walmart’s entry into a particular local market. That is, Walmart presumably does not locate stores randomly. When expanding into a particular region, it may, for example, opt to build in towns experiencing greater job growth. Unless this location selection bias is accounted for, one might compare job growth in towns that gained Walmart stores versus those that did not and erroneously conclude that Walmart caused an expansion in employment. The authors of this study have devised a persuasive method of accounting for this bias. They also argue that the method developed by Basker (see next item below) to account for this bias is flawed and therefore her conclusion that Walmart has a small positive impact on retail employment is not reliable.

“ Job Creation or Destruction? Labor-Market Effects of Walmart Expansion .” Emek Basker (University of Missouri), Review of Economics & Statistics , Feb. 2005.

Often cited and typically misrepresented by Walmart supporters, this study examines the impact of the arrival of a Walmart store on retail and wholesale employment. It looks at 1,749 counties that added a Walmart between 1977 and 1998. It finds that Walmart’s arrival boosts retail employment by 100 jobs in the first year—far less than the 200-400 jobs the company says its stores create, because its arrival causes existing retailers to downsize and lay-off employees. Over the next four years, there is a loss of 40-60 additional retail jobs as more competing retailers downsize and close. The study also finds that Walmart’s arrival leads to a decline of approximately 20 local wholesale jobs in the first five years, and an additional 10 wholesale jobs over the long run (six or more years after Walmart’s arrival). (Walmart handles its own distribution and does not rely on wholesalers). This works out to a net gain of just 10-30 retail and wholesale jobs, and the study does not examine whether these jobs are part-time or whether they pay more or less than the jobs eliminated by Walmart. The study also found that, within five years of Walmart’s arrival, the counties had lost an average of four small retail businesses, one mid-sized store, and one large store. It does not estimate declines in revenue to retailers that survive. Basker looked at the effect of Walmart on retail employment in neighboring communities, but found that the confidence intervals were too large (meaning the results showed wide variation) to draw any conclusion about Walmart’s impact. (Her initial working paper, published in 2002, reported an average decline of 30 retail jobs in surrounding communities, but, after correcting an error, she determined the confidence intervals were too large to produce a precise result.)

5. WAGES AND BENEFITS These studies show that locally owned businesses are linked to higher income growth and lower levels of poverty, while big-box retailers, particularly Walmart, depresses wages and benefits for retail employees. Studies in this section also quantify the costs of these big companies’ low wages to state healthcare programs and other forms of public assistance. In addition to the following studies, see this resource from Good Jobs First detailing states that have disclosed how much they spend providing health insurance for employees of Walmart, Home Depot, Target, and other big-box retailers.

“ Locally owned: Do local business ownership and size matter for local economic well-being? ” [PDF]. Anil Rupasingha, Federal Reserve Bank of Atlanta , Aug. 2013.

In this analysis, an economist with the Federal Reserve Bank of Atlanta examines the relationship between locally owned businesses and economic performance, and finds that counties with higher percentages of employment in locally based, small businesses have stronger local economies. Using data on every U.S. county in the period between 2000 and 2008, Rupasingha finds that local entrepreneurship has a positive effect on county per capita income growth and employment growth and a negative effect on poverty rates. He also finds that this effect of local ownership is more pronounced in the case of businesses that are also small, defined as those with fewer than 100 employees. Rupasingha’s dataset also reveals that locally owned, or “resident,” businesses employ a far greater number of people than non-resident establishments across every size category of business.

“ Employers Who Had Fifty or More Employees Using MassHealth, Commonwealth Care, or the Health Safety Net in State Fiscal Year 2010 ” [PDF]. Commonwealth of Massachusetts, February 2013.

This report from the state of Massachusetts discloses the 50 companies that have the most employees enrolled in the state’s Medicaid and other publicly funded health insurance programs for low-income people. About half of the 50 companies identified are retail and restaurant chains. Walmart ranks third overall, with 4,327 employees, approximately one-fifth of its Massachusetts workforce, relying on state health care assistance at a cost to taxpayers of $14.6 million per year. Target ranks fourth with 2,610 employees enrolled, approximately 36 percent of its Massachusetts workforce, at a cost of $8.3 million per year. Other retailers on the list include CVS, Shaw’s, Home Depot, May Department Stores, Sears, Kohl’s, Walgreen, Lowe’s, Best Buy, and Whole Foods.

Also see similar reports released in 2013 f rom Wisconsin and Missouri [PDF].

“Walmart’s Low Wages and Their Effect on Taxpayers and Economic Growth” [PDF]. Democratic Staff, U.S. House Committee on Education and the Workforce, May 2013.

Extrapolating from data released by the state of Wisconsin on the number of Walmart employees and their dependents enrolled in the state’s Medicaid program, this analysis estimates that Walmart employees require an average of about $3,000 per year in public assistance, such as Medicaid, food stamps, and housing assistance. That works out to a taxpayer cost of about $4.2 billion per year for all of Walmart’s U.S. stores. Covering that cost would require Walmart to forgo about one-quarter of its profits or raise prices at its U.S. stores by 1-2 percent.

“ Does Local Firm Ownership Matter? ” Stephan Goetz and David Fleming, Economic Development Quarterly , April 2011.

Goetz and Fleming analyze 2,953 counties, including both rural and urban places, and find that, after controlling for other factors that influence growth, those with a larger density of small, locally owned businesses experienced greater per capita income growth between 2000 and 2007. The presence of large, non-local businesses, meanwhile, had a negative effect on incomes.

“ A Downward Push: The Impact of Walmart Stores on Retail Wages and Benefits ” [PDF]. Arindrajit Dube, T. William Lester, and Barry Eidlin, UC Berkeley Center for Labor Research and Education , Dec. 2007.

This study analyzes the impact of the opening of Walmart stores on the earnings of retail workers. (It uses a similar technique to account for possible biases in Walmart’s store location decisions as the study described in the “Jobs” section above, “The Effects of Walmart on Local Labor Markets.”) This study focuses on stores that opened between 1992 and 2000 and concludes, “Opening a single Walmart store lowers the average retail wage in the surrounding county between 0.5 and 0.9 percent.” Not only did Walmart lower average wage rates, but “every new Walmart in a county reduced the combined or aggregate earnings of retail workers by around 1.5 percent.” Because this number is higher than the reduction in average wages, it indicates that Walmart not only lowered pay rates, but also reduced the total number of retail jobs. The study goes on to look at the cumulative impact of Walmart store openings on retail earnings at the state level and nationwide. “At the national level, our study concludes that in 2000, total earnings of retail workers nationwide were reduced by $4.5 billion due to Walmart’s presence,” the researchers find. Most of these losses were concentrated in metropolitan areas. Although Walmart is often associated with rural areas, three-quarters of the stores it built in the 1990s were in metropolitan counties.

“Walmart and County-Wide Poverty.” Stephan Goetz and Hema Swaminathan, Social Science Quarterly , June 2006.

The presence of a Walmart store hinders a community’s ability to move families out of poverty, according to this study. After controlling for other factors that influence poverty rates, the study found that U.S. counties that had more Walmart stores in 1987 had a higher poverty rate in 1999 than did counties that started the period with fewer or no Walmart stores. The study also found that counties that added Walmart stores between 1987 and 1998 experienced higher poverty rates and greater usage of food stamps than counties where Walmart did not build, all other things being equal. Although the study does not attempt to draw a conclusion about why Walmart expands poverty, the study’s authors suggest several possible factors, including a loss of social capital that occurs when locally owned businesses close and the shift from comparatively better paying jobs at independent retailers to lower paying jobs at Walmart.

“ Hidden Cost of Walmart Jobs ” [PDF]. UC Berkeley’s Institute for Industrial Relations , August 2004.

California taxpayers are spending $86 million a year providing healthcare and other public assistance to the state’s 44,000 Walmart employees, according to this study. The average Walmart worker requires $730 in taxpayer-funded healthcare and $1,222 in other forms of assistance, such as food stamps and subsidized housing. Even compared to other retailers, Walmart imposes an especially large burden on taxpayers. Walmart workers earn 31 percent less than the average for workers at large retail companies and require 39 percent more in public assistance. The study estimates that if competing supermarkets and other large retailers adopt Walmart’s wage and benefit levels, it will cost California’s taxpayers an additional $410 million a year in public assistance.

6. SOCIAL CAPITAL AND WELL-BEING These studies find that a community’s level of social capital, civic engagement, and well-being is positively related to the share of its economy held by local businesses, while the presence of mega-retailers like Walmart undermines social capital and civic participation. See this ILSR article for more background.

“ Small, Local, and Loyal: How Firm Attributes Affect Workers’ Organizational Commitment .” Katie L. Halbesleben and Charles M. Tolbert, Local Economy , Oct. 2014.

The authors of this paper — a professor and a Ph.D. candidate at Baylor University — find strong positive relationships between local ownership, firm size, and employee loyalty, which they refer to as organizational commitment. Using data from a nationally representative public opinion survey, they find that 57.2 percent of small firm workers scored in the highest commitment category, compared to 40.5 percent of large firm workers. They find a similar relationship for ownership, with 56 percent of workers at locally owned firms having high commitment scores, compared with just 38.7 percent of workers at non-locally owned firms. When they plotted the scores on a 16-point commitment scale, the authors found that, together, the two civic measures accounted for as much as a 1.7 point increase in organizational commitment, effects which held up when they included relevant control variables. “The analysis presented here clearly demonstrates a positive consequence of small, local businesses from the perspective of employees,” the authors conclude. “Clearly, small, local businesses do matter.” This study also reviews the literature on the benefits that employee loyalty confers on the business and on the surrounding community, and notes that strong ties between employers and employees create deeper roots in the community and less impetus for out-migration. “In this way,” the authors write, “the civic community perspective views small, locally owned businesses as lynchpins of community attachment and sustainability.”

“ College Graduates, Local Retailers, and Community Belonging in the United States .” Samuel Stroope, Aaron B. Franzen, Charles M. Tolbert, and F. Carson Mencken, Sociological Spectrum , Feb. 2014.

College-educated residents are an asset for a city. With higher education, however, comes increased geographic mobility, and cities and communities are increasingly challenged to retain their highly-educated residents. This study finds that the presence of locally owned retailers is one factor that leads all residents, and particularly college-educated residents, to stay put. “A retail environment not indicative of ‘anywhere America,’” the authors hypothesize, “help[s] those able to move to be less prone to feel that they could replace their current place of residence with anywhere else in America.” The authors prove their thesis by examining U.S. Census data and county-level data, and find that states with a greater share of locally owned retail experience a less-steep slope of college graduates migrating out from their counties. “In other words, stronger civic community provides a buffer in the migration of county residents as education increases,” the authors find. They conclude: “Though locales that encourage or allow absentee-owned retail may experience competitive advantage in the short run, they will not hold their own in the long run—in this instance, their own highly skilled workers… when counties cooperate together in order to protect and promote a broad localized retail climate from the ground up, they may also retain more of their highly educated and skilled residents. In a globalized world of increasing isomorphism, local places and regions’ spaces and establishments creatively infused with local flavor become one of the few resources that are not available elsewhere.”

“Rolling Back Prices and Raising Crime Rates? The Walmart Effect on Crime in the United States” [PDF]. Scott E. Wolfe and David C. Pyrooz, The British Journal of Criminology , Jan. 2014.

This paper finds a “Walmart effect” on crime. After matching counties in which a Walmart expanded or opened and counties without a Walmart, and controlling for some of the strongest predictors of crime, the authors find that in counties with a new Walmart, crime declined less than it did in counties where Walmart did not open. The study focuses on the period from 1990 to 1999, a decade when crime in the U.S. declined overall and also a decade in which Walmart expanded dramatically. “If Walmart did not build in a county, property crime rates fell by an additional 17 units per capita from the 1990s to the 2000s,” the authors write. They conclude, “Put simply, United States counties where Walmart built in the 1990s did not experience the same crime decline as counties without Walmart growth.”

“ The Health and Wealth of US Counties: How the Small Business Environment Impacts Alternative Measures of Development .” Troy C. Blanchard, Charles Tolbert, and Carson Mencken, Cambridge Journal of Regions, Economy, and Society , 2011.

This is one of several studies that have drawn a link between an economy of small-scale businesses and improved community well-being, including lower rates of crime and better public health. “Counties with a vibrant small-business sector have lower rates of mortality and a lower prevalence of obesity and diabetes” compared to places dominated by big firms, the authors conclude. They surmise that a high degree of local ownership improves a community’s “collective efficacy” — the capacity of its residents to act together for mutual benefit. Previous research has linked collective efficacy to population health, finding that engaged communities tend to create the kinds of infrastructure that foster healthier choices.

“ Street Survey of Business Reopenings in Post-Katrina New Orleans ” [PDF]. Richard Campanella, Tulane University , Jan. 2007.

“ Walmart and Social Capital ” [PDF]. Stephan J. Goetz and Anil Rupasingha, American Journal of Agricultural Economics , Dec. 2006.

The presence of a Walmart store reduces a community’s level of social capital, this study found. The study examined communities that had or gained Walmart stores in the 1990s and controlled for other variables known to affect social capital stocks in a community, such as educational attainment. “Both the initial number of [Walmart] stores and each store added per 10,000 persons during the decade reduced the overall social capital measure,” Goetz and Rupasingha found. Communities that gained a Walmart had fewer non-profit groups and social capital-generating associations (such as churches, political organizations, and business groups) per capita than those that did not. Walmart’s presence also depressed civic participation and is associated with lower voter turnout in the 2000 presidential election. Goetz and Rupasingha hypothesize that the drop in social capital is owned to the disappearance of local businesses and the decline of the downtown following Walmart’s arrival.

“ The Configuration of Local Economic Power and Civic Participation in the Global Economy .” Troy Blanchard and Todd L. Matthews, Social Forces , June 2006.

This study finds that residents of communities with highly concentrated economies tend to vote less and are less likely to keep up with local affairs, participate in community organizations, engage in reform efforts or participate in protest activities at the same levels as their counterparts in communities with dispersed economies composed predominantly of locally owned small businesses.

7. PUBLIC SUBSIDIES These studies document the massive public subsidies that have overwhelmingly favored big businesses and financed their expansion, and how this subsidized development has failed to produce real economic benefits for communities.

“ Shortchanging Small Business: How Big Businesses Dominate State Economic Development Incentives .” Greg LeRoy, Carolyn Fryberger, et. al., Good Jobs First , Oct. 2015.

Giving strong empirical support to long-time fairness arguments, this report looks at state economic development programs that purport to be open to businesses of any size, and finds that they in fact overwhelmingly favor large companies. For the study, Good Jobs First examined 4,200 economic development incentives awarded through programs in 14 states, and found that of a $3.2 billion total pot, 90 percent went to large firms, defined as those with 100 or more employees or 10 or more locations. In some states, that figure climbed as high as 96 percent. In its recommendations for reform, Good Jobs First urges states not to simply reallocate subsidy dollars to small businesses, and instead to tighten their rules to exclude the largest companies from these giveaways and institute dollar caps per deal and per company. With the savings, the recommendations continue, states should invest in expanding credit access for small businesses and in the types of broad public goods, like transportation and job training, that benefit all employers. The report is the second in a series of three on economic development subsidies, and builds on an earlier report, “ In Search of a Level Playing Field ,” that surveyed leaders of small business organizations and found that they overwhelmingly agree that their states’ economic development incentives favor big businesses at the expense of small firms looking to grow.

“ Tax Breaks and Inequality: Enriching Billionaires and Low-Road Employers in the Name of Economic Development .” Philip Mattera, Kasia Tarczynska, and Greg LeRoy, Good Jobs First , Dec. 2014.

This report analyzes the subsidies awarded to companies linked to Forbes 400 billionaires, as well as the subsidies awarded to firms that pay low wages, and finds that cumulatively, local and state governments across the country have given these companies $21.4 billion. Both categories include Walmart, which pays low wages, has catapulted four members of the Walton family to the top 10 of the Forbes list, and has received 284 subsidies with a total worth of $161 million (a conservative estimate, as the report’s methodology notes). Both also include Amazon, which pays low wages at its distribution and data centers, has supplied founder Jeff Bezos’s $30.5 billion fortune, and has won $419 million in subsidies. When so much local and state funding that purports to fuel economic development is going to companies that do not need tax breaks and other awards in order to finance a project, the report explains, the subsidies serve mainly to increase those companies’ profit. When they go to companies with billionaire owners or a low-road employment model, they also intensify income inequality, by using taxpayer funds to enlarge private fortunes and concentrate wealth, by expanding low-wage employment, and by sticking working families with a larger share of the bill for essential public services—among other effects. What’s more, they disadvantage small, locally owned businesses—the kinds of enterprises that subsidies like training grants, credit access, or infrastructure improvements are supposed to help—by tipping the scales even further in favor of big corporations. As the report concludes, “The preservation of the middle class is a frequently invoked justification for economic development subsidies. But when one reads the fine print and digs into actual outcomes, that justification is routinely undermined.”

“ Subsidizing the Corporate One Percent: Subsidy Tracker 2.0 Reveals Big-Business Dominance of State and Local Development Incentives .” Philip Mattera, Good Jobs First , Feb. 2014.

This analysis of Good Jobs First’s Subsidy Tracker database examines the share of total state and local economic development awards that have been granted to major corporations, and finds that the subsidies are heavily concentrated among big business. “We estimate that at least 75 percent of cumulative disclosed subsidy dollars have gone to just 965 large corporations,” the report states. It also finds that Walmart is near the top of the list for companies that have received the largest number of awards, with 261 individual subsidies.

“ An Assessment of the Effectiveness and Fiscal Impacts of the Use of Local Development Incentives in the St. Louis Region .” East-West Gateway Council of Governments, January 2011.

This study finds that over the last 20 years local governments in the metropolitan St. Louis region have diverted more than $5.8 billion in public tax dollars to subsidize private development. About 80 percent of these subsidies supported the construction of big-box stores and shopping malls, mostly in affluent suburbs. Despite this large public expenditure, the region has seen virtually no economic growth. “The number of retail jobs has increased only slightly and, in real dollars, retail sales or per capita have not increased in years,” the authors conclude. The subsidies have almost exclusively benefitted large chains, the study finds, and the region’s retail sector has grown increasingly concentrated. More than 600 small retailers (under 10 employees) have closed in the last ten years. “Both municipal finance and quality of life suffer when a city loses its base of small retail establishments,” the study notes. While some municipalities have seen gains in revenue as a result of luring retail development, these gains have come entirely at the expense of neighboring municipalities. Today, most of the region’s local governments are in financial trouble. “A significant number of municipalities faced budget deficits, lay-offs and service cuts between 2000 and 2007, even though that was a period of time when the economy had generally fared well,” the study finds.

“ Fishing for Taxpayer Cash ” [PDF]. Andrew Stecker and Kevin Conner, Public Accountability Initiative , June 2010.

This report documents how Bass Pro, an outdoor sporting goods chain, has won over $500 million dollars in taxpayer subsidies from cities and states by promising jobs, tourism and growth. But as this report shows, in city after city, Bass Pro has failed to deliver on its promises. In Mesa, AZ, for example, taxpayers put up $84 million for a development anchored by Bass Pro, but a year after opening the project was described as a “ghost town” that had done little more than undermine the viability of other retail areas. A taxpayer-subsidized Bass Pro in Harrisburg, PA, meanwhile, created only one-third of the jobs promised.

8. TAXES Building on the studies included in the previous category, “Public Costs,” these studies examine the different impacts of locally owned businesses and big-box retailers on public budgets. They find that large retailers systemically tilt the playing field in their favor by skirting their tax obligations, as well as that locally owned enterprises generate more tax revenue for cities, with less cost, than sprawling big-box shopping centers.

“ Thinking Differently About Development .” Joe Minicozzi, Government Finance Review , Aug. 2013.

While the economic development policies of many municipalities and counties favor sprawling projects, this analysis draws on data from more than 30 jurisdictions across 10 states to show that regardless of their size, municipalities receive a greater level of tax revenue from dense, walkable, mixed use urban development. Minicozzi assesses land use on a “per acre” measurement of its tax revenue generation, just as one would judge the efficiency of a car on a “per gallon” basis, and calculates that while a county earns just $7.11 in property taxes per acre on a typical big-box retail store, it earns $287.55 per acre on a mixed-use, mid-rise Main Street-style business district. “Research shows that regardless of the size of the municipality, its most potent tax-generating areas are its downtown or Main Street,” Minicozzi concludes. In another example, Minicozzi compares two prospective multi-family unit developments in Sarasota County, Fla., in 2009, and finds that, after factoring in land consumed, public facility costs, annual county tax yield, and taxes generated, the county loses $5 million on the suburban development over a 20-year period, while it profits more than $20 million off the urban development over the same period.

“ Skimming the Sales Tax: How Walmart and Other Big Retailers (Legally) Keep a Cut of the Taxes We Pay on Everyday Purchases ” [PDF]. Philip Mattera with Leigh McIlvaine, Good Jobs First , November 2008.

This study highlights little-noticed laws in 26 states that allow retailers to keep a portion of the sales taxes they collect from shoppers. The stated purpose of these policies is to compensate retailers for the costs they incur collecting the tax. However, while half of these states cap the amount retailers can keep, the other 13 states have no cap. Because the cost of collecting sales taxes declines with volume, states without caps are providing big retailers with outsized compensation that bears little relationship to their actual costs. This practice is costing states over $1 billion a year and lining the pockets of large chains, notably Walmart. The report breaks down the losses for each state. Additionally, this study exposes how local governments subsidize the large chains by giving them sales tax rebates or funding part of their projects with sales tax increment financing. Using these two strategies, Walmart has received $130 million in sales tax diversion over the past decade.

“Rolling Back Property Tax Payments: How Walmart Short-Changes Schools and other Public Services by Challenging Its Property Tax Assessments.” Philip Mattera, Karla Walter, Julie Farb Blain, and Colleen Ruddick, Good Jobs First , Oct. 2007.

This first-ever investigation of Walmart’s local property tax records finds that the retail giant systematically seeks to minimize its payment of taxes that support public schools and other vital local government services. It includes online appendices with lists of stores and distribution centers examined.

“Understanding the Fiscal Impacts of Land Use in Ohio” [PDF]. Randall Gross, Development Economics , August 2004.

This report reviews and summarizes the findings of fiscal impact studies conducted in eight central Ohio communities between 1997 and 2003. In seven of the eight communities, retail development created a drain on municipal budgets (i.e., it required more in public services, such as road maintenance and police, than it generated in tax revenue). On average, retail buildings produced a net annual loss of $0.44 per square foot. “The concept that growth is always good for a community does not seem to correlate with the findings from various fiscal analyses conducted throughout central Ohio,” the report concludes. It cautions cities not to be taken in by the promise of high tax revenue from a new development without also considering the additional costs of providing services. Unlike retail, office and industrial development, as well as some types of residential, produced a net tax benefit.

“ Fiscal Impact Analysis of Residential and Nonresidential Land Use Prototypes .” Tischler & Associates, July 2002.

Big-box retail, shopping centers, and fast-food restaurants cost taxpayers in Barnstable, Massachusetts, more than they produce in revenue, according to this analysis. The study compares the tax revenue generated by different kinds of residential and commercial development with the actual cost of providing public services for each land use. The study found that big box retail generates a net annual deficit of $468 per 1,000 square feet. Shopping centers likewise produce an annual drain of $314 per 1,000 square feet. By far the most costly are fast-food restaurants, which have a net annual cost of $5,168 per 1,000 square feet. In contrast, the study found that specialty retail, a category that includes small-scale Main Street businesses, has a positive impact on public revenue (i.e., it generates more tax revenue than it costs to service). Specialty retail produces a net annual return of $326 per 1,000 square feet. Other commercial land uses that are revenue winners include business parks, offices, and hotels. The two main factors behind the higher costs for big box stores, shopping centers, and fast-food outlets, compared to specialty retail shops, are higher road maintenance costs (due to a much greater number of car trips per 1,000 square feet) and greater demand for public safety services.

“ Understanding the Tax Base Consequences of Local Economic Development Program ” [PDF]. RKG Associates, 1998.

9. EXISTING BUSINESSES These studies demonstrate how big-box retailers have significant negative effects on the number and vitality of nearby local businesses, in that they both lead to a loss of existing businesses, and contrary to the claims big-box retailers themselves often make, do not serve as a catalyst for new growth.

“ The Impact of an Urban Walmart Store on Area Businesses .” Julie Davis, David Merriman, Lucia Samayoa, Brian Flanagan, Ron Baiman, and Joe Persky, Economic Development Quarterly , Oct. 2012.

The opening of a Walmart on the West Side of Chicago in 2006 led to the closure of about one-quarter of the businesses within a four-mile radius, according to this study by researchers at Loyola University. They tracked 306 businesses, checking their status before Walmart opened and one and two years after it opened. More than half were also surveyed by phone about employees, work hours, and wages. By the second year, 82 of the businesses had closed. Businesses within close proximity of Walmart had a 40 percent chance of closing. The probability of going out of business fell 6 percent with each mile away from Walmart. These closures eliminated the equivalent of 300 full-time jobs, about as many Walmart added to the area. Sales tax and employment data provided by the state of Illinois for Walmart’s zip code and surrounding zip codes confirmed that overall sales and employment in the neighborhood did not increase, but actually dipped from the trend line. Although Walmart claims its urban stores recapture dollars leaking to the suburbs, the findings of this study suggest that urban Walmart stores primarily displace sales from other city stores. “There is no evidence that Walmart sparked any significant net growth in economic activity or employment in the area,” the researchers conclude. The study also examines Walmart’s Job and Opportunity Zones initiative, which provided marketing for five local businesses, and found it largely ineffective.

“ Business Churn and the Retail Giant: Establishment Birth and Death from Walmart’s Entry .” Carlena Cochi Ficano, Social Science Quarterly , 2012.

Within 15 months of a new Walmart store opening, between 4.4 and 14.2 existing retail establishments close, while at most 3.5 new retail establishments open, according to this study. The study’s methodology accounts for Walmart’s expansion strategy and controls for a variety of other economic and demographic factors likely to influence the birth or death of businesses. The author notes that, while the findings on store closures are robust, those on new store openings are not and should be interpreted cautiously. Also, the study only accounts for Walmart’s effect on businesses that have at least one employee and does not track the impact after the first 15 months. The results explain the seeming discrepancy in other studies finding that Walmart has a relatively modest effect on retail employment, but causes a substantial increase in poverty rates. This study suggests that Walmart triggers significant churn in the local labor market, with large numbers of people laid off, facing periods of unemployment followed by new jobs that may be only part-time or lower paying.

“ Mom-and-pop Meet Big-box: Complements Or Substitutes? ” John Haltiwanger, Ron Jarmin, and C.J. Krizan, Journal of Urban Economics , 2010.

In this study, economists John Haltiwanger, Ron Jarmin, and C.J. Krizan analyzed about 1,200 big-box store openings and looked at the impact on two sets of independent and small chain businesses in the vicinity: those competing directly with the new big box and those offering different products and services. For competing retailers, the study found “large, negative effects” on those within a 5-mile radius of the new big box, including a substantial number of store closures, and smaller but still significant impacts on those in a 5-10 mile radius. As for non-competing businesses, the study found that big-box stores generate no positive spillover. Nearby businesses offering other products and services neither increased their growth nor expanded in numbers after the big box opened.

“ Major Flaws Uncovered in Study Claiming Walmart Has Not Harmed Small Businesses ” [PDF]. Stacy Mitchell, Institute for Local Self-Reliance , Dec. 2008.

A new and widely publicized study, “Has Walmart Buried Mom and Pop?”, claims that there is no evidence that Walmart has had an overall negative impact on the small business sector. A close inspection of the study by the Institute for Local Self-Reliance, however, found major flaws. The authors failed to use the correct U. S. Census data when attempting to show that “mom and pop” businesses have not experienced a net decline over the past two decades. When the correct data set is used, it is clear that the small business sector is much less robust now than it once was, with the number of retail businesses with fewer than 10 employees declining by one-fifth from 1982-2002. This decrease is even more drastic when measured relative to the population. During the 20-year period, the number of retail firms with 1-4 employees per 1 million people fell by 38 percent and retail firms with 5-9 employees per 1 million people declined by 30 percent.

“ The Impact of ‘Big-Box’ Building Materials Stores on Host Towns and Surrounding Counties in a Midwestern State ” [PDF]. Kenneth E. Stone and Georgeanne M. Artz, Iowa State University , 2001.

This study examines several Iowa communities where big-box building supply stores, such as Menards and Home Depot, have opened in the last decade. Sales of hardware and building supplies in the host community and surrounding counties are tracked over several years to test what the authors call the “zero-sum-game theory,” namely that the retail sales gains generated by big-box stores are offset by sales losses at existing, often locally owned, retail stores. The results confirm the theory, finding that sales of hardware and building supplies grow in the host communities, but at the expense of sales in smaller towns nearby. Moreover, after a few years, many of the host communities experienced a reversal of fortune: sales of hardware and building supplies declined sharply, often dropping below their initial levels, as more big box stores opened in the surrounding region and saturated the market.

“What Happened When Walmart Came to Town? A Report on Three Iowa Communities with a Statistical Analysis of Seven Iowa Counties.” Thomas Muller and Elizabeth Humstone, National Trust For Historic Preservation, 1996.

This study examined the impact of Walmart on several Iowa communities. It found that 84 percent of all sales at the new Walmart stores came at the expense of existing businesses within the same county. Only 16 percent of sales came from outside the county—a finding which refutes the notion that Walmart can act as a magnet drawing customers from a wide area and benefiting other businesses in town. “Although some suggest that the presence of Walmart outside of, but near to, the downtown area results in additional activity downtown, both sales data and traffic data do not show this gain,” the study concludes. “None of the nine case studies was experiencing a high enough level of population and income growth to absorb the Walmart store without losses to other businesses.” The study documents losses in downtown stores after Walmart opened. “General merchandise stores were most affected,” the study notes. “Other types of stores that closed include: automotive stores, hardware stores, drug stores, apparel stores, and sporting goods stores.” The supposed tax benefits of Walmart did not materialize either: “Although the local tax base added about $2 million with each Walmart, the decline in retail stores following the opening had a depressing effect on property values in downtowns and on shopping strips, offsetting gains from the Walmart property.”

“ Competing with the Discount Mass Merchandisers ” [PDF]. Kenneth Stone, Iowa State University, 1995.

The basic premise of this study and others by Ken Stone is that the retail “pie” is relatively fixed in size, and grows only incrementally as population and incomes grow. Consequently, when a company like Walmart opens a giant store, it invariably captures a substantial slice of the retail pie, leaving smaller portions for existing businesses, which are then forced to downsize or close. This study of Walmart’s impact on Iowa towns found that the average superstore cost other merchants in the host town about $12 million a year in sales (as of 1995), while stores in smaller towns nearby also suffered substantial revenue losses. These sales losses resulted in the closure of 7,326 Iowa businesses between 1983 and 1993, including 555 grocery stores, 291 apparel stores, and 298 hardware stores. While towns that gained a Walmart store initially experienced a rise in overall retail sales, after the first two or three years, retail sales began to decline. About one in four towns ending up with a lower level of retail activity than they had prior to Walmart’s arrival. Stone attributes this to Walmart’s strategy of saturating regions with multiple stores.

10. CONSUMERS AND PRICES These studies find that chains are not always a bargain.

“ Pharmacy Buying Guide .” Consumer Reports , Dec. 2015.

Consumer Reports ‘s survey of pharmacies has consistently found that independent pharmacies earn top marks on a range of metrics, and are competitive on price, and its Dec. 2015 update to its pharmacy information is no exception. Not only are independents the preferred option for speed and accuracy, courtesy and helpfulness, and pharmacists’ knowledge, Consumer Reports found, but also offer “real bargains.” At independents, “pharmacists may have more flexibility to match or beat competitor prices” for customers who are paying out-of-pocket. In a national price scan in six areas around the U.S., Consumer Reports found that big pharmacy chains such as CVS and Rite Aid had the highest out-of-pocket prices, and the undercover shoppers “found some of the best deals at mom-and-pop stores.” For those with health insurance who have met their deductible, the co-pay is usually the same regardless of the pharmacy. In terms of service, independents easily beat their competition. Writes Consumer Reports : “At least 90 percent of shoppers at independents rated their pharmacy as Excellent or Very Good in speed & accuracy, courtesy & helpfulness, and pharmacists’ knowledge. No other type of drug store came close. Readers who shopped at independent stores were twice as likely as chain-drug-store shoppers to characterize their druggist as easy to talk to and able to give them a one-on-one consultation.”

“ North Dakota’s Pharmacy Ownership Law: Ensuring Access, Competitive Prices, and Quality Care .” Olivia LaVecchia and Stacy Mitchell, Institute for Local Self-Reliance, Oct. 2014.

This report finds that thanks to a forward-thinking state law that keeps ownership and control of pharmacies in the hands of local pharmacists, instead of large chains, North Dakota’s prescription drug prices are among the lowest in the country. Over the most recent five-year period, North Dakota ranked 13th in lowest prescription drug prices among the 50 states, and compared with South Dakota, the average prescription price is not only lower, but has increased much more slowly over the last five years. The report also finds that North Dakotans experience an unparalleled level of pharmacy access and care.

“ Wrestling with Walmart: Tradeoffs Between Profits, Prices, and Wages .” Jared Bernstein, Josh Bivens, and Arindrajit Dube, Economic Policy Institute, June 15, 2006.

This analysis refutes the findings of a 2005 study by Global Insights (GI) that found that Walmart saves U.S. consumers $263 billion annually, or $2,329 for the average household. The Economic Policy Institute concludes that the GI study is “fraught with problems.” It identifies major internal inconsistencies in GI’s figures and finds that the firm’s statistical analysis “fails the most rudimentary sensitivity checks.” The authors state, “Once we addressed these weaknesses the statistical and practical significance of Walmart’s price effects effectively vanished.”

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