统计与决策2024，Vol.40Issue(13)：28-33,6.DOI:10.13546/j.cnki.tjyjc.2024.13.005
新型农村集体经济高质量发展赋能共同富裕
High-quality Development of New Rural Collective Economy Empowering Common Prosperity:An Empirical Study Based on 20 Old Revolutionary Areas
摘要
Abstract
Based on the system theory and configuration perspective,this paper focuses on the empowering role of new rural collective economy on common wealth and its multifactor linkage effect in old revolutionary areas.The dynamic QCA method is used to analyze the panel data of 20 key cities in China's old revolutionary areas from 2016 to 2021,and explore the grouping ef-fect of the new rural collective economy in the time dimension.In addition,Kruskal-Wallis rank sum test is used to explore the spatial distribution difference of configuration coverage in old revolutionary areas.The research findings are shown as follows:In-dividual factors do not constitute a necessary condition for high levels of shared prosperity,but the necessity of scientific and tech-nological innovation and technological progress and human capital shows a gradually increasing time effect.The four configura-tions have a high consistency level,all above 0.85,and further four configuration paths of common prosperity are extracted,namely,"manpower-science and technology linkage""institutional innovation-dominated""scientific and technological innova-tion-driven"and"local resources development and utilization",among which there is a substitution effect between human capital and land use.The overall trend in the time dimension is characterized by a gradual increase in explanatory power and an inflection point of abrupt increase in 2020.In the spatial dimension,there are obvious regional differences in the coverage degree of two configurations.关键词
革命老区/新型农村集体经济/高质量发展/共同富裕/动态QCA方法Key words
old revolutionary area/new rural collective economy/high-quality development/common prosperity/dynamic QCA method分类
管理科学引用本文复制引用
邹国良,何玟,欧阳倩..新型农村集体经济高质量发展赋能共同富裕[J].统计与决策,2024,40(13):28-33,6.基金项目
江西省教育厅科技项目(GJJ2200837) （GJJ2200837）
