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Does External Monitoring from Government Improve the Performance of State-Owned Enterprises?
Date:2019-12-16

Speaker:Li Shengyu

Time: 10:00-11:30am,Wednesday, December 18, 2019

Site:EMS A208

Abstract: This paper investigates how external monitoring from government influences the performance of state-owned enterprises (SOEs), by affecting managerial expropriation in procurement (proxied by input prices) and shirking in production management (proxied by productivity). Because firm-level input prices are usually not observed, we apply a structural approach of production function estimation to estimate them together with firm-level productivity, providing a methodologically practical approach to overcome the common data limitation. Using a nationwide policy shock in China that strengthened government monitoring on SOEs exclusively, we find enhancing monitoring can substantially improve SOEs' input prices and productivity. Moreover, as spatial-dimension evidence, higher monitoring costs increase input prices paid by SOEs and reduce productivity. Such negative effect is largely alleviated by the monitoring-strengthening policy. The results suggest that government monitoring can be an effective policy instrument to improve SOE performance.

Introduction to the Speaker:

Shengyu Li graduated with a PhD degree in Economics from The Pennsylvania State University in 2014. He currently works as an Assistant Professor in Business School, University of New South Wales at Sydney. Shengyu’s research interests lie in the intersection of Industrial Organisation and International Trade with special focuses on firm heterogeneity in productivity, quality, and input prices and their implications in growth, international trade, resource allocation and industry dynamics. Shengyu’s research agenda involves estimation of firm decisions using static or dynamic structural models with firm-level data. He has published in top international economic journals such asInternational Economic Review, Journal of International Economics, and Journal of Productivity Analysis. For more information, visit Shengyu’s personalwebsite.