腐败扭曲企业行为的资源错配效应：理论模型与中国经验

项目名称： 腐败扭曲企业行为的资源错配效应：理论模型与中国经验

项目编号： No.71503275

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 管理科学

项目作者： 张璇

作者单位： 中南财经政法大学

项目金额： 18万元

中文摘要： 腐败是当前中国深层次改革所面临的重大挑战，它不仅有碍公平竞争，还抑制经济增长，中国要顺利跨越中等收入陷阱亟待纠正腐败导致的各类扭曲，进一步释放制度红利，提升资源配置效率。本项目深入探讨中国经济转型背景下腐败扭曲企业行为的资源错配效应，具体内容包括：（1）从企业的信贷行为和进入退出行为两个视角，突破模型的静态性和企业进入退出的外生性假定，在异质企业框架下，构建包含腐败支出的动态随机一般均衡模型。（2）通过反事实分析框架和参数校准方法测算腐败扭曲信贷行为的内涵型资源错配效应和扭曲企业进入退出的外延型资源错配效应。（3）深度挖掘中国工业企业数据库与世界银行投资环境调查数据库，进一步分析腐败扭曲信贷行为和企业进入退出行为对微观资源错配影响的具体机制与途径。这为我们深刻理解中国转型经济中腐败的微观资源错配效应，为政府进一步构建反腐败的长效机制和相关政策提供微观理论基础和经验检验。

中文关键词： 企业行为；资源错配；银行信贷；企业进入与退出；腐败

英文摘要： Corruption is one of the most vital challenges China encounters on her road to modernization. It not only impedes fair competition but also destroys the economic growth through resource misallocation and corporate behavior distortion. To further increase residential income, China has to correct various distortions created by corruption. Based on existing literatures, this project will explore the link between corruption and resource misallocation, which is believed to have been distorting corporate behaviors in China's transition economy. We discuss misallocation from both credit rationing and firms' entry-exit behaviors. (1)We will extend a static distortion model to a dynamic stochastic general equilibrium one by endogenizing firms' entry-exit behavior, which is affected by corruption for heterogeneous enterprise. (2)We further use counterfactual analysis and parameter calibration method for a theoretical measurement for misallocation. (3)We try to merge World Bank's Business Environment and Enterprise Performance Database(BEEPS) with China Industry Business Performance Database, and test the effect of corruption on firm credit and entry-exit distortions. The result can help to understand misallocation in China's transition economy and have important policy implications on designing proper anti-corruption rules for Chinese government.

英文关键词： Firm Behavior;Resource Misallcation;Bank Credit;Firms' Entry and Exit;Corruption