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Empirical Analysis of Forest Pest Control Efficiency from 2003 to 2014 in China

Empirical Analysis of Forest Pest Control Efficiency from 2003 to 2014 in China
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摘要 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. 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.
出处 《Plant Diseases and Pests》 CAS 2017年第5期20-22,共3页 植物病虫害研究(英文版)
基金 Supported by Analysis of Forest Pest Cost Responsibility Investigation System(2017-R04) Protection and Development:Coordination Mechanism Research from the Perspective of Community(71373024)
关键词 Forest pest Control efficiency Cluster robust regression model Entropy method Forest pest Control efficiency Cluster robust regression model Entropy method
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