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Agglomeration Economies, Efficiency and Productivity Growth in the Retail Trade Sector, 2001-2007. Bruce Domazlicky Southeast Missouri State University. Outline of Presentation. The Retail Trade Sector in the U.S. Agglomeration Economies Efficiency and Productivity Growth Model
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Agglomeration Economies, Efficiency and Productivity Growth in the Retail Trade Sector, 2001-2007 Bruce Domazlicky Southeast Missouri State University
Outline of Presentation • The Retail Trade Sector in the U.S. • Agglomeration Economies • Efficiency and Productivity Growth • Model • Model Results • Relationship between Agglomeration Economies & Efficiency • Relationship between Agglomeration Economies & Productivity Growth
Retail Trade Sector • Important Contributor to Standard of Living in an Urban Area • Supplies Goods & Services that Residents Demand • Important Source of Jobs to Urban Residents
Recent Developments in the Retail Trade Sector • Computerization: Bar Scanning Universal in U.S. • Improved Inventory Tracking • Increased Average Size of Retail Establishments • Increased Concentration in Urban Areas at expense of Rural Areas
Types of Agglomeration Economies • Localization Economies: economies that arise when firms in the same industry locate near each other: pooling of labor force, development of industry suppliers, diffusion of ideas (technological spillovers) • Urbanization Economies: economies that arise from locating in an urban area: access to markets, labor supply, financial and other specialized services, low communication costs
Research Questions • Does efficiency in the retail trade sector increase with urban size? • Does productivity growth in the retail trade sector increase with urban size? • What is relationship between agglomeration economies and efficiency in the retail trade sector? • What is relationship between agglomeration economies and productivity growth in the retail trade sector?
Basic Model • Data Envelopment Analysis is used to measure efficiency levels • Productivity Growth is measured using the Malmquist Productivity Index
Data • 348 Metropolitan Statistical Areas in U.S. • 3 Variables: Output, Labor, Capital • Output and Labor from the Bureau of Economic Analysis:Http://www.bea.gov • Capital computed using variation on method by Garofalo and Yamarik (REStat, 2002)
Agglomeration Economies & Efficiency Regression Results
Variable Definitions • AVEEFF: Average Efficiency • URBAN: Urbanization Economies, log of average population • LOCAL: Localization economies, relative share of retail trade output • EDUC: Percentage of population with at least a Bachelor’s Degree
Table 8. Efficiency RegressionDependent Variable: AVEEFFNo. of Obs.: 348
Agglomeration Economies & Productivity Growth Regression Results
Variable Definitions • PROD: Productivity growth, 2001-2007 • TC: Growth rate of technical change, 2001-2007 • EC: Growth rate of efficiency change, 2001-2007
Table 9. Productivity RegressionsNo. of Obs.: 348 (Numbers in parentheses are t-statistics.)
Conclusions • Efficiency in urban areas increase with city size & relative importance of sector • Productivity change is due solely to technical change • Efficiency change declines as urban size increases-indication of “catching-up”?