G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17023
DP17023 Government Procurement and Access to Credit: Firm Dynamics and Aggregate Implications
Julian di Giovanni; Manuel García-Santana; Enrique Moral-Benito; Josep Pijoan-Mas
发表日期2022-06-20
出版年2022
语种英语
摘要We provide a framework to study how different allocation systems of public procurement affect firm dynamics and long-run macroeconomic outcomes. We build a newly created panel dataset of administrative data for Spain that merges credit register loan data, quasi-census firm-level data, and public procurement projects. We show evidence consistent with the hypothesis that procurement contracts provide valuable collateral for firms, and more so than sales to the private sector. We then build a model of firm dynamics with both asset-based and earnings-based borrowing constraints and a government that buys goods and services from private sector firms, and use it to quantify the long-run macroeconomic consequences of alternative procurement allocation systems. We find that policies that promote the participation of small firms have sizeable macroeconomic effects, but their net impact on aggregate output is ambiguous. These policies help small firms grow and overcome financial constraints, which increases output in the long run. However, they also reduce saving incentives for large firms, decreasing output. The relative extent of these two forces and hence which of them dominates crucially depends on the type of financial frictions and the specific way the policy is implemented.
主题Financial Economics ; International Macroeconomics and Finance ; Macroeconomics and Growth ; Monetary Economics and Fluctuations
关键词Government procurement Financial frictions Capital accumulation Aggregate productivity
URLhttps://cepr.org/publications/dp17023-0
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/546461
推荐引用方式
GB/T 7714
Julian di Giovanni,Manuel García-Santana,Enrique Moral-Benito,et al. DP17023 Government Procurement and Access to Credit: Firm Dynamics and Aggregate Implications. 2022.
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