就业趋势和美国零售业就业对GDP的相对影响

Abdullah M. Khan
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摘要

本文研究了1998年至2021年期间美国零售业及其十二个分部门的就业趋势。零售分部门是:汽车和零部件经销商(NAICS 441)、家具和家居用品商店(NAICS 442,体育用品、爱好用品、书籍和音乐零售店(NAICS 451)、日用百货商店(NAICS 452)、杂项零售商店(NACS 453)和非商店零售商店(NAICS 454)。比较疫情前(2017-19年)和疫情后(2019-21年)的就业增长率,本研究发现,就零售就业而言,非商店零售商(NAICS 454)和食品饮料店(NAICS 445)是最能抵御疫情的细分行业。除了该行业的多管辖区就业趋势外,本文还使用固定面板回归模型探讨了零售业子部门就业对美国GDP的州级影响。在统计上与GDP呈显著正相关的零售业分部门是汽车经销商、健康和个人护理商店、服装店以及电子购物和邮购等非商店零售商。在控制变量中,国家级专利总数与GDP呈正相关。
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Employment Trends and Relative Influence of U.S. Retail Subsector Employments on GDP
This paper studies employment trends of the U.S. retail industry and its twelve subsectors for the period 1998 through 2021.  The retail subsectors are: motor vehicle and parts dealers (NAICS 441),  furniture and home furnishing stores (NAICS 442),  electronics retail stores (NAICS 443),  building material retail stores (NAICS 444),  food and beverage stores (NAICS 445),  health and personal care retail stores (NAICS 446),  gasoline stations (NAICS 447), clothing and accessories retail stores (NAICS 448), sporting goods, hobby goods, books, and music retail stores (NAICS 451), general merchandise stores (NAICS 452), miscellaneous retail stores (NAICS 453), and nonstore retail stores (NAICS 454). Comparing the pre-pandemic (2017-19) and post-pandemic (2019-21) employment growth rates, this study finds nonstore retailers (NAICS 454) and Food and beverages stores (NAICS 445) to be the most pandemic-proof subsectors in terms of retail employment. Besides multi-jurisdictional employment trends of this industry, this paper also explores the state-level influence of retail sub-sectoral employments on U.S. GDP  using a fixed panel regression model. The retail subsectors that displayed statistically significant positive correlation with GDP are motor vehicle dealerships, health and personal care stores, clothing stores, and nonstore retailers such as electronic shopping and mail order businesses.  Among the control variables, state-level total patent counts had statistically significant positive correlation with GDP.
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