Collaborative Research: DCL: HBCU EAGER Network effects, competition and survival of small and minority owned firms in public procurement

合作研究：DCL：HBCU EAGER 公共采购中小型和少数族裔企业的网络效应、竞争和生存

• 批准号: 1745605
• 负责人: Georgia Kosmopoulou
• 金额: $ 7.61万
• 依托单位: University of Oklahoma Norman Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745605&HistoricalAwards=false
• 关键词: Collaborative; Research; DCL; HBCU; EAGER

Award Abstract Alexander/KosmopoulousCollaborative Research: HBCU DCL, EARGER: Network Effects, Competition and Survival of Small Minority-Owned Firms in Public ProcurementSmall firms, especially those owned by economically disadvantaged groups, provide a large share of employment for this population. These companies are often at competitive disadvantage when they compete against large firms and often lose in the process. Can these firms form networks to learn from each other, increase their efficiency, compete effectively against larger firms and expand their activities? How do these networks affect the chance of winning a bid and effectively carrying out the project? This research project will use data from the state of Oklahoma road construction bidding program to study the impact of networks on efficiency of small minority-owned businesses. The study will focus on factors that increase the chances of forming networks and the effects of these networks on firm success in bidding, cost efficiency, profits, and long-term stability. The results of this research project will increase our understanding what determines the success of small minority-owned firms and in the process, provide policy guidance on how best to increase the competitiveness of small firms generally. Because the results of this research project could guide policies to increase the efficiency of small firms, the results could also increase the competitiveness of the U.S. economy. This collaborative research will study the industrial organization and competitiveness of small minority-owned firms. Specifically, it will use administrative and field data to study the effects of network formation on the success and survival of small, minority-owned firms in bidding for and completion of government infrastructural contracts. The research focuses on: (i) strategic network formation among contractors who repeatedly compete or cooperate in contracting jobs; (ii) the impacts of networks on the probability of a small minority-owned firm winning a bid for contract; (iii) the effects of networks on the survival of small firms. The state of Oklahoma construction bidding data has enough detailed information to allow the PIs to identify networks, control for heterogeneity of firms and ownership structure when analyzing the effects of networks on efficiency. The PIs will develop an auctions model that allows for information asymmetries across different types of firms due to differences in experience, efficiency and network connections. The model treats network formation as endogenously determined by firm net profitability in a network relative to profitability outside a network. The PIs will use Bayesian methods to estimate the models. The results of this research project will inform our understanding of the relationship between network formation and efficiency of small minority-owned firms and in the process, contribute to the competitiveness of the U.S. economy.

获奖摘要亚历山大/Kosmopoulous合作研究：HBCU DCL，EARGER：网络效应，竞争和少数民族拥有的小企业在公共企业的生存小企业，特别是那些经济上处于不利地位的群体拥有的，为这一人口提供了很大的就业份额。 这些公司在与大公司竞争时往往处于竞争劣势，而且往往在竞争中失利。 这些公司能否形成网络，相互学习，提高效率，与大公司有效竞争，扩大活动？ 这些网络如何影响中标机会和有效开展项目？本研究项目将使用来自俄克拉荷马州公路建设招标项目的数据，研究网络对小型少数民族企业效率的影响。 本研究将集中于增加形成网络的机会的因素，以及这些网络对企业在投标、成本效率、利润和长期稳定性方面的成功的影响。 这一研究项目的结果将使我们更好地了解是什么决定了少数民族拥有的小企业的成功，并在此过程中，就如何最好地提高小企业的竞争力提供政策指导。 由于该研究项目的结果可以指导提高小企业效率的政策，其结果也可以提高美国经济的竞争力。这项合作研究将研究小型少数民族企业的产业组织和竞争力。 具体而言，它将使用行政和实地数据来研究网络的形成对小型、少数民族拥有的公司在投标和完成政府基础设施合同方面的成功和生存的影响。 研究重点是：（i）在承包工作中反复竞争或合作的承包商之间的战略网络形成;（ii）网络对少数民族拥有的小公司赢得合同投标的概率的影响;（iii）网络对小公司生存的影响。 俄克拉荷马州的建筑招标数据有足够的详细信息，让PI识别网络，控制异质性的公司和所有权结构时，分析网络的效率。 PI将开发一个拍卖模型，该模型允许不同类型的公司由于经验，效率和网络连接的差异而产生的信息不对称。 该模型将网络的形成视为由网络中的企业净利润率相对于网络外的企业净利润率内生决定的。 PI将使用贝叶斯方法来估计模型。 本研究项目的结果将有助于我们了解网络形成和少数民族拥有的小企业的效率之间的关系，并在此过程中，有助于美国经济的竞争力。