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Does Environmental Regulation Increase Employment? Based on the SCM and RCM Methods
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作者 Guo Lin Zhang Xufei 《Contemporary Social Sciences》 2021年第6期1-20,共20页
Whether environmental regulation can increase employment is still controversial in academic circles around the world.An important reason lies in the validity of an empirical method.Using China’s inter-provincial pane... Whether environmental regulation can increase employment is still controversial in academic circles around the world.An important reason lies in the validity of an empirical method.Using China’s inter-provincial panel data from 2003 to 2015 and the synthetic control method(SCM),this paper focuses on a test that was carried out on the basis of a quasi-natural experiment of the 2007 Emission Trading Pilot(ETP)policy.The test results show that the ETP policy has increased the average employment level by 3.25 percentage points and passed a robustness test.The robustness test using the regression control method(RCM)shows that the average employment level has risen by 3.21 percentage points.This means that the ETP policy has significantly increased employment.The paper also puts forward three policy recommendations:optimizing the trading system for emissions rights,encouraging companies to carry out cleaner production and innovation,and incorporating environmental performance assessments. 展开更多
关键词 environmental regulation EMPLOYMENT synthetic control method regression control method
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Empirical Analysis of Forest Pest Control Efficiency from 2003 to 2014 in China
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作者 Cai Qi Cai Yushi +3 位作者 Sun Shibo Ding Huimin Ren jie Wen Yali 《Plant Diseases and Pests》 CAS 2017年第5期20-22,共3页
Three indexes including forest pest occurrence area,control area and input fund of 31 provinces from 2003 to 2014 were selected from Forestry Statistical Yearbook,to establish dynamic interaction index evaluation syst... Three indexes including forest pest occurrence area,control area and input fund of 31 provinces from 2003 to 2014 were selected from Forestry Statistical Yearbook,to establish dynamic interaction index evaluation system with clustering robust regression model and Stata 13. 0 software. Total forest pest control efficiency in China was determined according to the computing result of entropy method. Suggestions such as improving forest pest control efficiency,increasing service efficiency and input amount of forest pest control input funds were put forward. It will provide empirical basis for target management evaluation of forest pest control work and accountability system. 展开更多
关键词 Forest pest control efficiency Cluster robust regression model Entropy method
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