The Regional Differences in Firm Entry in the Service Sector: Using the 1989-97 Longitudinal Establishment and Enterprise Micro-data File

企业进入服务业的地区差异：使用1989-97年纵向建立和企业微观数据文件

• 批准号: 0080316
• 负责人: Zoltan Acs
• 金额: $ 10.44万
• 依托单位: University of Baltimore
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2002-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0080316&HistoricalAwards=false
• 关键词: Regional; Differences; Firm; Entry; Service

This project examines and analyzes regional differences in the recent rapid growth and evolution of service-producing businesses in the U.S. It will focus on the role of business entry in accounting for these regional differences. Most previous broad-based regional analysis has relied on County Business Patterns (CBP) data, which are limited in several ways. First, they provide only aggregate levels each year, and cannot track changes in a set of establishments over time; secondly, they lack information on firms (or enterprises); and thirdly, much of the data is suppressed for small or sparse areas for detailed industries. The Longitudinal Establishment and Enterprise Microdata (LEEM) file housed at the Center for Economic Studies (CES) covers all establishments with employees for the years 1989-1997, by linking the annual microdata underlying CBP. The service sector will be partitioned into five or six subsectors according to the markets they serve. Using the 1990 Labor Market Area (LMA) definitions to partition the U.S. into local economic units that are large enough to have business entry annually in most of the subsectors, we will prepare regional LMA level data for the services subsectors (including annual data on employment, firm entry and exit) from the LEEM.These data will be aggregated to broad regional and national levels to examine how the distribution of service employment among subsectors and among firm types has changed. Annual gross firm entry rates are calculated to measure levels of entrepreneurial activity in each subsector and region. 'Seasoned' entry rates will be calculated for the more limited set of new firms that have continued in business for at least three years. A model accounting for local differences in both gross and seasoned firm entry rates will be formulated and tested. Other regional data for explanatory variables and ratios will be constructed from publicly available county level databases. We expect to explain regional diversity in startup rates as a function of (1) the size and quality of the pool of potential entrepreneurs, while controlling for (2) the capital requirements, growth, and turbulence rates of the industry, and (3) the population growth rate, and the overall business growth rate of the region. This project's expansion of the investigators' previous research on business demographics using the LEEM would also serve to introduce this major new database for analysis of regional aspects of labor markets, economic development, business demography, and agglomeration.

本项目考察和分析了美国最近快速增长和发展的服务生产企业的地区差异。它将重点关注企业进入在这些地区差异中所起的作用。以前大多数基础广泛的区域分析都依赖于县商业模式（CBP）数据，这些数据在几个方面受到限制。首先，它们只提供每年的总水平，无法追踪一组机构的长期变化；其次，他们缺乏对公司（或企业）的信息；第三，对于详细的行业，许多数据在较小或稀疏的区域被抑制。经济研究中心（CES）的纵向企业和企业微数据（LEEM）文件通过连接CBP基础的年度微数据，涵盖了1989-1997年间所有有员工的企业。服务业将根据所服务的市场划分为五、六个部门。使用1990年劳动力市场区域（LMA）定义将美国划分为足够大的地方经济单位，以便在大多数子行业中每年都有业务进入，我们将从LEEM中为服务子行业准备区域LMA水平的数据（包括就业，公司进入和退出的年度数据）。这些数据将汇总到广泛的区域和国家一级，以审查服务业就业在分部门和公司类型之间的分布如何变化。计算年度总企业进入率，以衡量每个子行业和地区的创业活动水平。“经验丰富”的进入率将被计算为持续经营至少三年的有限新公司。将制定和测试一个模型，说明毛额和经验丰富的公司进入率的地方差异。解释变量和比率的其他区域数据将从公开的县级数据库构建。我们期望将启动率的区域多样性解释为(1)潜在企业家池的规模和质量的函数，同时控制(2)行业的资本要求，增长和动荡率，以及(3)人口增长率，以及该地区的整体业务增长率。该项目扩展了研究者先前使用LEEM对企业人口统计数据的研究，也将有助于引入这个主要的新数据库，用于分析劳动力市场、经济发展、企业人口统计和集聚的区域方面。