Abstract：Based on the monitoring data of the national river basin water quality monitoring stations and the seven major river systems from 2004 to 2018, the progressive triple difference (DDD) method was used to explore the internal logic between industrial green transformation and boundary environment optimization. The study found that industrial green transformation reduces the main water quality pollution indicators of provincial border counties, and its impact path is: ① The existing promotion assessment mechanism also includes mandatory emission reduction and GDP indicators, and promoting industrial green transformation can achieve economic development and environmental optimization at the same time. More in line with the assessment requirements; ② Under the decentralization system, the provincial government directly connects with the county government, and at the same time strengthens the environmental accountability mechanism for the latter to limit the boundary pollution problem caused by the “bottom-by-bottom competition” strategy; ③ boundary Most of the counties are farming areas with economic backwardness and ecological fragility. In order to change the status quo, local governments use expanded autonomy to formulate favorable policies that are suitable for local conditions. According to this, no matter from the perspective of realizing government functions or personal promotion of officials, promoting industrial green transformation is the best development path, which can ultimately achieve the dual goals of economic development and environmental optimization.
杨柳青青. 产业绿色转型对边界环境绩效的影响研究[J]. 管理学报, 2020, 17(7): 1052-.
YANG Liuqingqing. Research on the Influence of Industrial Green Transformation on Boundary Environment Performance. Chinese Journal of Management, 2020, 17(7): 1052-.
