行政干预机制下农村环境污染治理路径研究

Lei Wu, C. Wang
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引用次数: 3

摘要

随着城市化的不断发展,农村的经济水平有了很大的提高。然而,由于工业的发展和经济的飞跃,农村环境受到了前所未有的破坏。本文以浙江省为例,探索政府干预机制下的农村环境污染治理路径。首先,分析了政府在农村环境污染治理中的作用。然后,以湖州市为例,基于条件价值法(CVM)对湖州市农村生活环境污染治理的支付意愿进行实证评估,并从处理技术和政策体系的角度对分散式生活污水处理模式、多户生活污水处理模式和垃圾协同处理模式进行分析。最后,提出要加快农村环境治理,必须加强政府对农村环境治理的行政干预。政府要提高各级领导和群众的环境保护意识,丰富农民环境治理知识和技术培训。基于环境经济学、农业经济学和决策行为理论,分析了农民决策行为和政府干预对农村面源污染治理的影响机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Rural Environmental Pollution Control Path Under Administrative Intervention Mechanism
Abstract With the continuous development of urbanisation, the economic level of rural areas has improved greatly. However, due to the development of industry and the leap in the economy, the rural environment has suffered unprecedented damage. Taking Zhejiang Province as an example, this paper explores the rural environmental pollution control path under the government intervention mechanism. Firstly, it analyses the functions of the government in rural environmental pollution control. Then, taking Huzhou as an example, this paper empirically evaluates the willingness to pay for the treatment of living environment pollution in rural areas of Huzhou based on the CVM (Contingent Valuation Method) and analyses the decentralised domestic sewage treatment mode, multi household domestic sewage treatment mode, and waste collaborative treatment mode from the perspective of treatment technology and policy system. Finally, it is proposed that to speed up the governance of the rural environment, and we must strengthen the administrative intervention of the government in rural environmental governance. The government should improve the environmental protection awareness of leaders at all levels and the masses and enrich farmers’ environmental governance knowledge and technical training. Based on the theory of environmental economics, agricultural economics, and decision-making behaviour, this paper analyses the influence mechanism of farmers’ decision-making behaviour and government intervention in rural non-point source pollution control.
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