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.

奖励摘要Alexander/KosmopoulousCollaborative研究：HBCU DCL，耳机：公共采购市场中小少数族裔拥有的网络效果，竞争和生存，尤其是经济弱势群体拥有的公司，为该人群提供了很大一部分就业机会。 当这些公司与大型公司竞争并经常在此过程中输掉时，他们通常处于竞争不利的位置。 这些公司能否组建网络以互相学习，提高效率，有效与大型公司竞争并扩大其活动？ 这些网络如何影响赢得出价并有效执行该项目的机会？该研究项目将使用俄克拉荷马州道路建设招标计划的数据来研究网络对少数族裔企业效率的影响。 该研究将集中于增加形成网络机会的因素，以及这些网络对竞标，成本效率，利润和长期稳定的公司成功的影响。 该研究项目的结果将提高我们的理解，这决定了小少数族裔企业的成功，并在此过程中提供有关如何最好地提高小公司竞争力的政策指导。 由于该研究项目的结果可以指导政策提高小公司的效率，因此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少数族裔企业的工业组织和竞争力。 具体而言，它将使用行政和现场数据来研究网络形成对小型少数民族拥有的公司在竞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）反复竞争或合作从事承包工作的承包商之间的战略网络形成； （ii）网络对少数族裔企业赢得合同的竞标的可能性的影响； （iii）网络对小公司生存的影响。 俄克拉荷马州建设招标数据具有足够的详细信息，以允许PIS识别网络，控制公司的异质性以及所有权结构，并在分析网络对效率的影响时。 PI将开发一个拍卖模型，该模型由于经验，效率和网络连接的差异而允许不同类型公司的信息不对称。 该模型将网络形成视为由网络中的公司网络盈利能力相对于网络外部的盈利能力而确定的。 PI将使用贝叶斯方法估计模型。 该研究项目的结果将使我们对小型少数族裔企业的网络形成与效率之间的关系的理解以及在此过程中有助于美国经济的竞争力。