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| Spatiotemporal migration patterns and relationships between rural water environment policies and pollution |
| Received:April 13, 2023 |
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| KeyWord:rural water pollution;gravity center migration;policy strength;pollution intensity;“policy-pollution”type |
| Author Name | Affiliation | E-mail | | WAN Xin | School of Business, Hohai University, Nanjing 211100, China | | | ZHANG Yi | School of Business, Hohai University, Nanjing 211100, China | zhangyi99@hhu.edu.cn | | SU Pengcheng | School of Business, Hohai University, Nanjing 211100, China | | | LUO Xinyi | School of Business, Hohai University, Nanjing 211100, China | | | LIN Jiaxin | School of Business, Hohai University, Nanjing 211100, China | |
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| Abstract: |
| In order to reveal the temporal and spatial evolutional relationships between rural water pollution and the corresponding governance policies, the migration paths of gravity centers for the two indicators were plotted based on measurements of policy strength and pollution intensity. Then, various provinces were classified into different “policy-pollution” types by using the Shapley value decomposition method, and the causal relationship between policy and pollution under each type was analyzed based on the Granger causality test method. The results showed that both the gravity centers of policy and pollution located in southeast China, but their migration paths were not aligned with each other. The former exhibited a“south-west-north-east”directional trend, whereas the latter consistently demonstrated a propensity for migration towards the south. In terms of the link between policy and pollution, it was observed that the reduction in pollution intensity contributed to an enhancement in policy strength in“growth-reduced”type provinces. However, the drivers for this enhancement differ between eastern and western provinces. As for provinces classified as“reduced-reduced”, the decrease in policy effectiveness was found to be a result of reduced pollution intensity; however, there were instances of policy deviation evident in specific dimensions of pollution. At last, the provinces falling under the "pollution growth" category did not exhibit Granger causality between policy and pollution. Therefore, it was recommended that future policy-making incorporates its association with pollution outcomes and enhances the precision, synergy, and foresight of policies, which is beneficial to the elevation of efficiency and effectiveness of policy formulation. |
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