陈凌, 阳剑兰. 基于PMC指数模型的我国农村人居环境治理政策量化评价研究[J]. 云南农业大学学报(社会科学), 2023, 17(4): 148−156. doi: 10.12371/j.ynau(s).202303063
引用本文: 陈凌, 阳剑兰. 基于PMC指数模型的我国农村人居环境治理政策量化评价研究[J]. 云南农业大学学报(社会科学), 2023, 17(4): 148−156. doi: 10.12371/j.ynau(s).202303063
CHEN Ling, YANG Jianlan. Quantitative Evaluation of Rural Human Settlement Environment Governance Policies in China Based on PMC-Index Model[J]. Journal of Yunnan Agricultural University (Social Science), 2023, 17(4): 148-156. DOI: 10.12371/j.ynau(s).202303063
Citation: CHEN Ling, YANG Jianlan. Quantitative Evaluation of Rural Human Settlement Environment Governance Policies in China Based on PMC-Index Model[J]. Journal of Yunnan Agricultural University (Social Science), 2023, 17(4): 148-156. DOI: 10.12371/j.ynau(s).202303063

基于PMC指数模型的我国农村人居环境治理政策量化评价研究

Quantitative Evaluation of Rural Human Settlement Environment Governance Policies in China Based on PMC-Index Model

  • 摘要: 以2014年以来我国各级政府颁布的209份农村人居环境治理政策为研究对象,利用文本挖掘方法并结合政策特点,确定了政策评价的9个一级变量和41个二级变量,构建我国农村人居环境治理政策量化评估指数模型,并选取9项政策进行PMC指数计算和PMC曲面图绘制。研究发现:所选取的9项农村人居环境治理政策总体评价等级为“优秀”,无“完美”和“不良”等级,说明我国农村人居环境治理政策整体设计较为科学合理,但仍有较大的改进空间,政策时效、政策受众、政策领域、激励措施是未来政策调整修改的主要方向。

     

    Abstract: Taking 209 rural human settlements governance policies promulgated by governments at all levels in China since 2014 as the research object, this paper employed text mining methods and combined with policy characteristics to determine 9 primary variables and 41 secondary variables for policy evaluation, constructed a quantitative evaluation index model of China’ s rural human settlements governance policies, and selected 9 policies for PMC index calculation and PMC surface plot drawing. It is found that, the overall evaluation grades of the selected 9 rural human settlements environment governance policies were “excellent” , and there were no “perfect” and “bad” grades, indicating that the overall design of China’ s rural human settlements governance policies was more scientific and rational, but there was still much room for improvement, and the policy timeliness, policy audience, policy field and incentive measures were the main directions for future policy adjustment and revision.

     

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