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作 者:周英男[1] 黄赛 宋晓曼 Zhou Yingnan;Huang Sai;Song Xiaoman(School of Economics and Management,Dalian University of Technology,Dalian 116024,Liaoning,China)
机构地区:[1]大连理工大学经济管理学院,辽宁大连116024
出 处:《科研管理》2021年第8期82-91,共10页Science Research Management
基 金:国家自然科学基金重大国际(地区)合作研究项目:“绿色增长理论与实践的国际比较研究”(71320107006,2014.01-2018.12);辽宁省经济社会发展研究课题:“辽宁省实现绿色发展的途径研究”(2019lslktyb-028,2018.09-2019.09);辽宁省财政科研基金重点项目:“支持辽宁污染治理攻坚财政政策研究”(18B009,2018.12-2019.12)。
摘 要:绿色增长政策是实现绿色发展战略的重要保障,强化主体协同合作是提升绿色增长政策执行效率的有效措施。本文运用社会网络分析法,绘制不同阶段中国绿色增长政策执行主体协同网络图谱,构建协同"广度-强度"二维矩阵,分析政策执行主体协同网络的整体结构特征及主体角色演化规律,辨识核心主体及其对协同网络运行的作用逻辑与影响趋势。结果表明:在中国绿色增长政策执行主体协同网络演化过程中,整体网络规模扩大,网络稳定性和信息传递速率提升,网络结构从独立松散向集中均衡转变;国务院、生态环境部、地方人民政府和个人等核心主体发挥主导、组织、协调和连通功能,构建绿色发展战略下的分工协作机制,进一步促进整体网络结构的稳定和高效。Green growth policy is the institutional guarantee and important support for China to change economic growth mode and implement the concept of green development. As the direct participants and practitioners of implementing multiple policy instruments, the subject of policy implementation has a profound impact on the achievement of policy objectives and policy effects. Therefore, it is significant to establish and improve the coordination network of China′s green growth policy executive subject, and to study the evolution process and the evolution law of the policy subjects′ coordination function, so as to improve the policy system of China′s green growth and improve the efficiency of policy implementation.Starting from the first law-Environmental Protection Law of the People′s Republic of China(Trial Implementation) in 1979, this paper carries out a full-text search in the Pkulaw Information Base. After eliminating duplicate, irrelevant and extremely ineffective policy texts, 354 policies are finally obtained.Based on the four important conferences on green growth in China, this paper divides China′s green growth policy into four stages: policy initiation stage(1979-1994), policy refinement stage(1995-2007), policy turning stage(2008-2015), and policy systematization stage(2016-).After summing up China′s green growth policy according to the above four stages, policy executive subjects are extracted, and the co-occurrence matrix of policy executive subjects is constructed. Based on the social network analysis method, the collaborative network of China′s green growth policy executive subjects is studied. On the basis of network map, this paper describes the evolution of collaborative network structure of green growth policy executive subjects in China from 1979 to now by measuring network structure indicators. Generally speaking, the network cohesion index and network density are rising overall, but the values of each stage are low. These indicate that the coordination effect among the China′s green
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