湖北农业科学 ›› 2025, Vol. 64 ›› Issue (8): 237-243.doi: 10.14088/j.cnki.issn0439-8114.2025.08.036

• 经济·管理 • 上一篇    下一篇

中国农村数字经济与新质生产力的耦合特征及区域差异

徐思怡, 彭嘉懿, 夏心怡, 周丽   

  1. 湖南农业大学信息与智能科学技术学院,长沙 410128
  • 收稿日期:2025-04-25 出版日期:2025-08-25 发布日期:2025-09-12
  • 通讯作者: 周 丽,副教授,博士,主要从事数理统计、农林经济管理研究,(电子信箱)30542704@qq.com。
  • 作者简介:徐思怡(2003-),女,湖南平江人,在读本科生,专业方向为社会经济统计研究,(电子信箱)1534348655@qq.com;
  • 基金资助:
    2024年度国家大学生创新训练计划一般项目(s202410537125); 2024年湖南省社会科学成果评审委员会项目(XSP24YBC353)

Coupling characteristics and regional differences of the digital economy and new-quality productivity in rural China

XU Si-yi, PENG Jia-yi, XIA Xin-yi, ZHOU Li   

  1. College of Information and Intelligence, Hunan Agricultural University, Changsha 410128,China
  • Received:2025-04-25 Published:2025-08-25 Online:2025-09-12

摘要: 以中国大陆31个省份2012—2022年的面板数据为例,利用相关模型对中国农村数字经济与新质生产力发展水平及其地区差异进行分析。结果表明,2012—2022年各省份农村数字经济和新质生产力发展水平各有不同程度的提升,但农村数字经济弱且新质生产力弱、农村数字经济强且新质生产力强是主要分布类型;2012—2022年各省农村数字经济和新质生产力的耦合协调度整体呈现较明显的梯度分布特征,耦合协调等级由以失调为主过渡到以协调为主;中国四大地区(东部、中部、西部、东北部)的农村数字经济和新质生产力的耦合协调度差距较为明显,对此应加强数字基础设施建设和人才孵化,推动数字产业协同发展,补齐农村数字经济短板。

关键词: 农村数字经济, 新质生产力, 熵值法, 耦合协调, Daugm系数

Abstract: Taking the panel data of 31 provinces in mainland China from 2012 to 2022 as an example, a related model was used to analyze the development level of rural digital economy and new quality productivity and its regional differences in China. The results showed that the development level of rural digital economy and new quality productivity in each province had been improved to varying degrees from 2012 to 2022, but the rural digital economy being weak and the new quality productivity being weak, and the rural digital economy being strong and the new quality productivity being strong were the main distribution types; during the period of 2012-2022, the overall coupling and coordination degree of rural digital economy and new quality productivity in China’s provinces presented a more obvious gradient distribution characteristic, and the coupling and coordination level changed from mainly imbalance to mainly coordination; the gap of coupling and coordination degree of rural digital economy and new quality productivity in the four regions (east, central, west, and northeast) of China was relatively obvious, so it was necessary to strengthen the construction of digital infrastructure and talent incubation, promote the synergistic development of digital industry, and make up for the shortcomings of rural digital economy.

Key words: rural digital economy, new quality productivity, entropy method, coupling coordination, Daugm coefficient

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