基于PMC指数模型的我国副省级城市数字政府政策文本量化评价
Quantitative Evaluation of Digital Government Policy Text for Sub-provincial Cities in China Based on the PMC Index Model
章怡宁 1李小涛 2解玲3
作者信息
- 1. 南京航空航天大学人文与社会科学学院 江苏南京 211106
- 2. 南京航空航天大学工业和信息化智库评价中心 江苏南京 211106;南京航空航天大学图书馆 江苏南京 211106
- 3. 南京航空航天大学经济与管理学院 江苏南京 211106
- 折叠
摘要
[目的/意义]推动数字政府建设是深化"数字中国"发展战略的重要举措,提升数字政府建设水平离不开科学的政策支持.[方法/过程]对我国副省级城市数字政府政策文本中的高频词进行挖掘,并立足政策工具视角,基于PMC指数模型构建政策评价指标体系,评价政策的具体表现.[结果/结论]我国副省级城市数字政府政策总体评价为优秀,但各城市之间、各政策工具之间得分差距较大.其中环境型政策工具总体得分最高,需求型政策工具总体得分最低,政策质量有待进一步提高.
Abstract
[Purpose/significance]Promoting the construction of digital government is an important initiative to deepen the devel-opment strategy of"Digital China",and scientific policy support is indispensable to enhance the level of digital government construction.[Method/process]This paper mined the high-frequency words in the digital government policy texts of sub-provincial cities in China,and constructed a policy evaluation index system based on the PMC index model from the perspective of policy tools to evaluate the spe-cific performance of policies.[Result/conclusion]The overall evaluation of digital government policies in China's sub-provincial cit-ies is excellent,but the score gap between cities and policy tools is large.Among them,the overall score of environment-based policy tools is the highest,the overall score of demand-based policy tools is the lowest,leaving the quality of the policies to be further im-proved.
关键词
数字政府/政策工具/PMC指数模型Key words
digital government/policy tool/PMC index model引用本文复制引用
基金项目
中央高校基本科研业务费专项(ND2022016)
出版年
2024
NETL
NSTL
万方数据