Institute of Finance and Economics Research, School of Urban and Regional Science, Shanghai University of Finance and Economics, No. 777, Guoding Road, Yangpu District, Shanghai, 200433, China.
Environ Sci Pollut Res Int. 2023 Apr;30(19):56620-56640. doi: 10.1007/s11356-023-26363-0. Epub 2023 Mar 15.
The purpose of this paper seeks to investigate the impact that environmental target constraints imposed by local governments have on the quality of economic development. In this paper, the city-level economic high-quality development index was measured, and data on environmental target constraints were compiled from the governmental work reports submitted by 230 cities between the years 2004 and 2013. Using the DID model and the instrumental variable method, it is found that (1) when environmental performance is factored into the performance evaluation of governmental officials, environmental target constraints contribute significantly to the high-quality growth of the local economy and (2) environmental target constraints are heterogeneous across regions and have a greater promoting effect on cities in eastern China than in central and western China. These conclusions are supported by a number of robustness tests. Resultantly, this paper provides a novel perspective for understanding the relationship between environmental protection and the quality of economic development. In addition, it offers the government theoretical and empirical support to strengthen the development of an environmental protection system and promote high-quality economic development. Moreover, this study delivers crucial empirical evidence for developing countries to simultaneously achieve environmental pollution control and economic growth.
本文旨在探讨地方政府设定的环境目标约束对经济发展质量的影响。本文测算了城市层面的经济高质量发展指数,并从 2004 年至 2013 年 230 个城市的政府工作报告中整理了环境目标约束的数据。利用 DID 模型和工具变量法,发现(1)当环境绩效纳入官员政绩考核时,环境目标约束对当地经济的高质量增长有显著贡献;(2)环境目标约束在地区间存在异质性,对东部地区城市的促进作用大于中西部地区。这些结论通过一系列稳健性检验得到了支持。因此,本文为理解环境保护与经济发展质量之间的关系提供了一个新的视角。此外,本文为政府加强环境保护制度建设、促进经济高质量发展提供了理论和经验支持。此外,本研究为发展中国家同时实现环境污染控制和经济增长提供了重要的经验证据。