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The concerns about the contradiction between agricultural production and Agricultural Non-Point (ANPS) pollution has become increased with economic development in China. Government interventions are key to controlling ANPS pollution through the establishment of laws and policies. This paper uses the entropy method to calculate the emissions amount of ANPS pollution and policy strength of 31 provinces from 2010 to 2019 in China. The dynamic panel data model with system generalized moment is used to estimate the impacts of policies with different measures on ANPS pollution emission. According to our findings, China’s policies have been helpful in controlling ANPS pollution though there are important regional differences. Moreover, four types of policy measures all contribute to the reduction in ANPS pollution. These findings improve our understanding of the relationship between policies and ANPS pollution in the analyzed period, thus providing support for the formulation of pollution management strategies in the next stage.

Related Keywords

United States , Shanghai , China , Fujian , Beijing , Hunan , Jiangsu , Ningxia , Nanjing , Jilin , Hainan , Heilongjiang , Qinghai , Guizhou , Henan , Anhui , Erhai , Yunnan , Liaoning , Chongqing , Peking , Hebei , Chinese , , Water Framework Directive In European Union , Forestry University , National Ecological Environment Protection , University Of Science , Beida Yinghua Technology Co , Legal Artificial Intelligence Laboratory Of Peking University , University Law , First National Survey Of Pollution Sources , Ministry Of Agriculture , Non Point Source , Growth Action Plan , Fertilizer Use , Pesticide Use , Thirteenth Five Year Plan , Erhai Lake Basin , China Statistical Yearbook , China Rural Statistical Yearbook , First National Survey , Pollution Sources , Peking University Law , Legal Artificial Intelligence Laboratory , Peking University , Total Nitrogen , Total Phosphorus , Supplementary Materials , Nanjing Forestry University , Southwest University , Rural Affairs , Fixed Effects Model , Random Effects Model , Generalized Method , Policy Intensity , Ningxia Hui Autonomous Region , Shanghai City , Northeastern China , Principal Component Analysis , Policy Strength , Clean Water Act , Water Framework Directive , European Union ,

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