Management and Organizational Practices Across the US

生产率、经济增长、创新和收入不平等的一些关键决定因素是公司的管理实践。不幸的是，与劳动力、资本和资源投入相比，没有关于管理和组织实践的一致和全面的数据。该项目与人口普查局合作，就这些做法的性质和范围对机构进行调查。智力价值：这是第一个可由美国研究界与人口普查研究数据中心内关于生产率、创新、就业、技术、能源和工人福祉(如健康)指标的现有数据集相匹配的大规模跨行业小组数据集。由于这一主题的重要性，人口普查局认为，这可以作为制造业按年统计调查(ASM)的重复补充，以构建约45,000家机构的数据面板。这项调查最初以制造业为目标，因为可以获得一系列其他制造业数据，而且衡量生产率相对容易，但计划迅速将这一调查扩展到其他行业，特别是零售和医疗保健，以建立在这些领域现有的公司级管理调查的基础上。该项目使用这些数据来解决一些重要的研究、政策和管理问题。例如：-管理、组织、生产率和增长之间的关系，以及哪些政策可以促进这些做法以支持美国公司的增长？-管理和组织做法在地区、行业和公司规模上的差异有多大；-组织做法随时间和公司的动态变化？-哪些类型的管理做法与不平等随着时间的变化有关？更广泛的影响：这些问题是美国政策制定者的核心问题，他们寻求促进美国公司的成功，并在对经济的合理理解基础上做出决策。数据分析应该会产生重要的学术和政策结果。

Some of the key determinants of productivity, economic growth, innovation, and income inequality are the management practices of firms. Unfortunately, in contrast to labor, capital and resource inputs, consistent and comprehensive data do not exist on management and organizational practices. This project collaborates with the Census Bureau to survey establishments about the nature and extent of these practices. Intellectual Merit: This is the first large-scale cross-sector panel dataset that can be matched by the US research community to numerous existing datasets on productivity, innovation, employment, technology, energy and indicators of worker well-being (such as health) within the Census Research Data Centers. Because of the importance of the topic, the Census Bureau believes this can be added as a repeated supplement to the Annual Survey of Manufacturing (ASM) in order to construct a panel of data on about 45,000 establishments. This survey is initially targeted at manufacturing because of the availability of a range of other manufacturing data and the relative ease of measuring productivity, but the plan is to rapidly extend this to other sectors, in particular retail and health care to build on our existing firm-level management surveys in these areas. The project uses these data to address a number of important research, policy and managerial questions. For example:- What is the relationship between management, organization, productivity and growth, and what policies can promote these practices to support the growth of US firms?- What are the extent of regional, industrial and firm-size variations in management and organizational practices; - What are the dynamics of organizational practices over time and firms? - What types of management practices are associated with changes in inequality over time? Broader Impacts: These questions are central to US policy-makers who seek to promote the success of US firms, and to make decisions based on a sound understanding of the economy. The data analysis should yield important academic and policy results.