内生性
生产力
自然实验
中国
利用
业务
离群值
情感(语言学)
能量(信号处理)
自然资源
资源(消歧)
经济
产业组织
公共经济学
计量经济学
宏观经济学
统计
数学
计算机安全
人工智能
政治学
计算机科学
法学
生态学
计算机网络
语言学
哲学
生物
作者
Xuemei Zheng,Chengkuan Wu,Rabindra Nepal
标识
DOI:10.1016/j.eneco.2021.105564
摘要
This paper examines the impacts of China's administrative approval reform on the pro- ductivity of firms in the energy industry, using the establishment of the Administrative Approval Bureau (AAB) as a quasi-natural experiment. We apply event study strategy to exploit the dynamic treatment effects as the setting time of the AAB varies across cities. The findings show that the administrative approval reform has significantly induced an increase in the productivity of energy firms in China, by around 1% across various model specifications based on the data of listed energy firms from 2006 to 2019. This finding remains robust to alternative measurements of productivity and variations related to time trend, self-selection, outlier values and endogeneity. The effect of the reform is heteroge- neous across different industries, regions, and firms' ownership. Further mechanism anal- ysis suggests that the reform impacted firms' productivity through impeding technological innovation and promoting resource allocation, with the latter effect exceeding the former one. These results provide important policy implications for increasing the productivity of firms in both the energy sector and other energy dependent sectors.
科研通智能强力驱动
Strongly Powered by AbleSci AI