摘要
基于2013—2018年中国30个省(市、自治区)面板数据,采用熵权法对乡村经济高质量发展水平进行测度,用Dagum基尼系数对地区差异进行分析。结果表明,中国乡村经济高质量发展水平普遍不高。从时间维度看,乡村经济高质量发展水平不断提升,发展势头良好;从空间维度看,乡村经济高质量发展水平由高到低分别为东部、东北部、中部和西部地区,差距来源以区间为主。为促进乡村经济高质量发展,提出提升落后地区创新能力、逐层打破城乡要素流动障碍、坚持绿色发展为基底、进一步优化发达地区经济结构、全面完善乡村社会保障制度的推进路径。
Based on the panel data of thirty provinces(cities,municipalities)from 2013 to 2018,the entropy weight method was used to measure the high-quality development level of rural economy,and the Dagum Gini coefficient was used to analyze the regional differences.The results showed that the high-quality development level of rural economy in China was generally not high.In the time dimension,the level of high-quality development of rural economy was constantly improving,and the momentum of development was positive.In the space dimension,the high-quality development level of rural economy of the four regions from high to low was the eastern,northeastern,central and western regions,and the source of the gap was mainly regional differences.To promote the high-quality development of rural economy,the promotion paths of improving the innovation ability of backward areas,breaking the barriers to the flow of urban and rural factors layer by layer,adhering to green development as the base,optimizing the economic structure of developed areas,and comprehensively improving the rural social security system were put forward.
作者
商滢彬
吴倩
段禄峰
魏明
盛攀峰
SHANG Ying-bin;WU Qian;DUAN Lu-feng;WEI Ming;SHENG Pan-feng(School of Marxism,Shaanxi Vocational&Technical College,Xi’an 710038,China;The Research Office of Weinan Municipal Government,Weinan 714000,Shaanxi,China;College of Economics and Management,Xi’an University of Posts&Telecommunications,Xi’an 710061,China)
出处
《湖北农业科学》
2023年第10期247-256,F0003,共11页
Hubei Agricultural Sciences
基金
国家社会科学基金项目(18XJL005)
陕西省哲学社会科学研究专项(2023ZD0611)
陕西省“十四五”教育科学规划2022年度课题(SGH22Y1325)
西安市科技计划软科学项目(22RKYJ0048)
陕西省科技创新团队(2023-CX-TD-13)
陕西省创新能力支撑计划软科学项目(2019KRM075)
陕西省烟草公司委托项目(KJ-2022-12)。
关键词
乡村经济
高质量发展
熵权法
Dagum基尼系数
rural economy
high-quality development
entropy weight method
Dagum Gini coefficient
