数字乡村建设与农民共同富裕耦合协调的时空演进及驱动机制

doi:10.12118/j.issn.1000-6060.2025.336

Abstract

Abstract:

The coupled and coordinated development of digital rural construction and the common prosperity of farmers is an important path to promoting high-quality economic and social development. However, existing research has paid insufficient attention to the characteristics of their coupled development, and its internal driving mechanisms have not yet been systematically revealed. Based on provincial panel data in China from 2011 to 2023, this study uses methods such as the longitudinal and transverse ranking method, the improved coupling coordination degree model, and the geographic detector to analyze the spatiotemporal evolution characteristics and driving mechanisms of the coupling and coordination between digital rural construction and farmers’ common prosperity in China. The results reveal that: (1) The coupling coordination degree between digital rural construction and farmers’ common prosperity in China has gradually increased, revealing an “east-high, west-low” gradient pattern, with polarization occurring at the national level and in the central and western regions. (2) The development of each province presents four types, including “cross-boundary leap type” “low-to-medium level progressive type” “medium-to-high level progressive type”, and “single-step upgrading type”, with the “low-to-medium level progressive type” being the main development type. High-level regions exhibit a significant spatial spillover effect. (3) Innovation, digital justice, ecology, industry, and government are the five driving mechanisms for the coupled and coordinated development of digital rural construction and farmers’ common prosperity, with each playing a role as core, lever, support, foundation, and guidance, respectively. Based on the above conclusions, the study recommends that the coupled and coordinated development of the two should be promoted by optimizing regional coordinated development mechanisms, enhancing spatial synergy effects, and strengthening the leading role of innovation.

Key words: digital rural construction, farmers’ common prosperity, coupling and coordination, spatial spillover effects, polarization phenomenon

SU Fei, CHEN Xiubi, WU Baorui. Spatiotemporal evolution and driving mechanism of the coupling and coordination between digital rural construction and farmers’ common prosperity[J].Arid Land Geography, 2026, 49(10): 2030-2041.

Figures/Tables 9

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References 38

[1]	Nerini F F, Mazzucato M, Rockström J, et al. Extending the sustainable development goals to 2050: A road map[J]. Nature, 2024, 630: 555-558. doi: 10.1038/d41586-024-01754-6
[2]	Arion F H, Harutyunyan G, Aleksanyan V, et al. Determining digitalization issues (ICT adoption, digital literacy, and the digital divide) in rural areas by using sample surveys: The case of Armenia[J]. Agriculture, 2024, 14(2): 249-355. doi: 10.3390/agriculture14020249
[3]	Lythreatis S, Singh S K, El-Kassar A N. The digital divide: A review and future research agenda[J]. Technological Forecasting and Social Change, 2022, 175: 121359, doi: 10.1016/j.techfore.2021.121359.
[4]	Heeks R. Digital inequality beyond the digital divide: Conceptualizing adverse digital incorporation in the global south[J]. Information Technology for Development, 2022, 28(4): 688-704. doi: 10.1080/02681102.2022.2068492
[5]	Bai C Y, Guan W, Wang D W, et al. Digital village construction and the quality of life of rural residents[J]. International Review of Economics & Finance, 2024, 96 (Part C): 103729, doi: 10.1016/j.iref.2024.103729.
[6]	李丽莉, 曾亿武, 郭红东. 数字乡村建设: 底层逻辑、实践误区与优化路径[J]. 中国农村经济, 2023(1): 77-92.
	[Li Lili, Zeng Yiwu, Guo Hongdong. Digital countryside construction: Underlying logic, practical errors and optimization path[J]. Chinese Rural Economy, 2023(1): 77-92. ]
[7]	汤临佳, 张婕雯, 蒋子燕. 数字乡村与乡村共同富裕--数字孪生的调节作用[J]. 科研管理, 2025, 46(5): 182-192.
	[Tang Linjia, Zhang Jiewen, Jiang Ziyan. Digital villages and rural common prosperity: The moderating effect of digital twin[J]. Science Research Management, 2025, 46(5): 182-192. ]
[8]	谭燕芝, 王超, 陈铭仕, 等. 中国农民共同富裕水平测度及时空分异演变[J]. 经济地理, 2022, 42(8): 11-21. doi: 10.15957/j.cnki.jjdl.2022.08.002
	[Tan Yanzhi, Wang Chao, Chen Mingshi, et al. Measurement and spatio-temporal differentiation of common prosperity level of Chinese farmers[J]. Economic Geography, 2022, 42(8): 11-21. ] doi: 10.15957/j.cnki.jjdl.2022.08.002
[9]	马少春, 朱杰, 王军. 共同富裕视域下数字乡村建设的农民增收与分配效应[J]. 经济问题探索, 2025, 46(1): 109-127.
	[Ma Shaochun, Zhu Jie, Wang Jun. The effect of digital village construction on farmers’ income growth and distribution under the perspective of common prosperity[J]. Inquiry into Economic Issues, 2025, 46(1): 109-127. ]
[10]	王凤婷, 王浩, 孔凡斌. 农村数字化发展对农业全要素碳生产率的提升效应[J]. 中国人口·资源与环境, 2024, 34(3): 79-90.
	[Wang Fengting, Wang Hao, Kong Fanbin. Enhancement effect of rural digital development on agricultural total factor carbon productivity[J]. China Population, Resources and Environment, 2024, 34(3): 79-90. ]
[11]	李丽莉, 邱亚娟, 曾亿武. 数字乡村建设: 国内研究动态与展望[J]. 农业经济问题, 2025(1): 44-57.
	[Li Lili, Qiu Yajuan, Zeng Yiwu. Digital countryside construction: Domestic research trends and prospects[J]. Issues in Agricultural Economy, 2025(1): 44-57. ]
[12]	刘艺欣, 裴婷婷, 陈英, 等. 基于县域尺度的甘肃省乡村振兴发展水平测度及时空分异[J]. 干旱区地理, 2025, 48(9): 1683-1689. doi: 10.12118/j.issn.1000-6060.2024.545
	[Liu Yixin, Pei Tingting, Chen Ying, et al. Measurement and spatial-temporal differentiation of rural revitalization development level in Gansu Province based on county scale[J]. Arid Land Geography, 2025, 48(9): 1683-1689. ] doi: 10.12118/j.issn.1000-6060.2024.545
[13]	张世贵, 吴合庆. 数字乡村建设何以推进共同富裕--基于“赋能-调适”的分析框架[J]. 中国行政管理, 2024, 40(2): 103-111.
	[Zhang Shigui, Wu Heqing. How to promote common prosperity in digital rural construction: The analysis framework based on “empowerment-adaptation”[J]. Chinese Public Administration, 2024, 40(2): 103-111. ]
[14]	孙迎联, 贾海刚. 数字乡村建设助推农民农村共同富裕的价值逻辑、现实图景与优化路径[J]. 农村经济, 2024(11): 1-10.
	[Sun Yinglian, Jia Haigang. The value logic, realistic picture and optimization path of digital rural construction in promoting the common wealth of farmers and rural areas[J]. Rural Economy, 2024(11): 1-10. ]
[15]	陈桂生, 史珍妮. 面向共同富裕的数字乡村建设: 基于“做大蛋糕”与“分好蛋糕”的分析[J]. 行政管理改革, 2022(7): 25-34.
	[Chen Guisheng, Shi Zhenni. Digital rural construction for common prosperity: An analysis based on making a bigger and sharable “cake”[J]. Administration Reform, 2022(7): 25-34. ]
[16]	苏飞, 吴宝锐, 张平宇, 等. 数字乡村建设与乡村经济韧性耦合协调的时空演进及驱动机制[J]. 地理科学进展, 2025, 44(7): 1434-1451. doi: 10.18306/dlkxjz.2025.07.009
	[Su Fei, Wu Baorui, Zhang Pingyu, et al. Spatial and temporal coupling relationship of digital village construction and rural economic resilience in China and mechanism of influence[J]. Progress in Geography, 2025, 44(7): 1434-1451. ] doi: 10.18306/dlkxjz.2025.07.009
[17]	朱红根, 周柏樊. 数字乡村建设与农业绿色发展: 理论与实证[J]. 世界农业, 2025(3): 42-54.
	[Zhu Honggen, Zhou Baifan. Digital rural construction and green agricultural development: Theory and empirical research[J]. World Agriculture, 2025(3): 42-54. ]
[18]	陈丽君, 郁建兴, 徐铱娜. 共同富裕指数模型的构建[J]. 治理研究, 2021, 37(4): 5-16, 2.
	[Chen Lijun, Yu Jianxing, Xu Yina. Construction of the common prosperity index model[J]. Governance Studies, 2021, 37(4): 5-16, 2. ]
[19]	申云, 尹业兴, 钟鑫. 共同富裕视域下我国农村居民生活质量测度及其时空演变[J]. 西南民族大学学报(人文社会科学版), 2022, 43(2): 103-114.
	[Shen Yun, Yin Yexing, Zhong Xin. The measurement of the quality of life of rural residents in China and its temporal and spatial evolution from the perspective of common prosperity[J]. Journal of Southwest Minzu University (Humanities and Social Sciences Edition), 2022, 43(2): 103-114. ]
[20]	田云, 尹忞昊. 中国农业碳排放再测算: 基本现状、动态演进及空间溢出效应[J]. 中国农村经济, 2022(3): 104-127.
	[Tian Yun, Yin Minhao. Re-evaluation of China’s agricultural carbon emissions: Basic status, dynamic evolution and spatial spillover effects[J]. Chinese Rural Economy, 2022(3): 104-127. ]
[21]	李雪松. 中国农业生产效率变动的驱动因素研究[J]. 重庆大学学报(社会科学版), 2015, 21(4): 37-46.
	[Li Xuesong. A study of the driving factors of agricultural production efficiency in China[J]. Journal of Chongqing University (Social Science Edition), 2015, 21(4): 37-46. ]
[22]	郭亚军. 一种新的动态综合评价方法[J]. 管理科学学报, 2002(2): 49-54.
	[Guo Yajun. A new dynamic comprehensive evaluation method[J]. Journal of Management Sciences in China, 2002(2): 49-54. ]
[23]	王淑佳, 孔伟, 任亮, 等. 国内耦合协调度模型的误区及修正[J]. 自然资源学报, 2021, 36(3): 793-810. doi: 10.31497/zrzyxb.20210319
	[Wang Shujia, Kong Wei, Ren Liang, et al. Research on misuses and modification of coupling coordination degree model in China[J]. Journal of Natural Resources, 2021, 36(3): 793-810. ] doi: 10.31497/zrzyxb.20210319
[24]	Yu T H, Zhang Y, Jia S S, et al. Spatio-temporal evolution and drivers of coupling coordination between digital infrastructure and inclusive green growth: Evidence from the Yangtze River Economic Belt[J]. Journal of Environmental Management, 2025, 376: 124416, doi: 10.1016/j.jenvman.2025.124416.
[25]	Zhang Q F, Li J F, Li Y, et al. Coupling analysis and driving factors between carbon emission intensity and high-quality economic development: Evidence from the Yellow River Basin, China[J]. Journal of Cleaner Production, 2023, 423: 138831, doi: 10.1016/j.jclepro.2023.138831.
[26]	田祥宇. 乡村振兴驱动共同富裕: 逻辑、特征与政策保障[J]. 山西财经大学学报, 2023, 45(1): 1-12.
	[Tian Xiangyu. Rural revitalization drives common prosperity: Logic, characteristics and policy guarantee[J]. Journal of Shanxi University of Finance and Economics, 2023, 45(1): 1-12. ]
[27]	杨巨星, 孙慧, 周晋楠, 等. 中国资源型城市转型脱碳时空演进及路径选择[J]. 干旱区地理, 2026, 49(1): 151-163. doi: 10.12118/j.issn.1000-6060.2024.743
	[Yang Juxing, Sun Hui, Zhou Jinnan, et al. Spatio-temporal evolution and pathway selection of transformation decarbonization in China’s resource-based cities[J]. Arid Land Geography, 2026, 49(1): 151-163. ] doi: 10.12118/j.issn.1000-6060.2024.743
[28]	吉泽男, 付文婷, 王鹏程, 等. 干旱区数字经济与农业绿色发展耦合协调研究--以新疆为例[J]. 干旱区地理, 2024, 47(11): 1981-1990. doi: 10.12118/j.issn.1000-6060.2023.637
	[Ji Zenan, Fu Wenting, Wang Pengcheng, et al. Coupling and coordination of digital economy and green development of agriculture in arid zones: A case of Xinjiang[J]. Arid Land Geography, 2024, 47(11): 1981-1990. ] doi: 10.12118/j.issn.1000-6060.2023.637
[29]	靳文辉. 数字金融公平价值的实现路径研究[J]. 中国法学, 2023(4): 69-86.
	[Jin Wenhui. Research on the realization path of the fair value of digital finance[J]. Chinese Legal Science, 2023(4): 69-86. ]
[30]	郭峰, 王靖一, 王芳, 等. 测度中国数字普惠金融发展: 指数编制与空间特征[J]. 经济学(季刊), 2020, 19(4): 1401-1418.
	[Guo Feng, Wang Jingyi, Wang Fang, et al. Measuring China’s digital financial inclusion: Index compilation and spatial characteristics[J]. China Economic Quarterly, 2020, 19(4): 1401-1418. ]
[31]	沈费伟, 崔钰. 从“政府主导”到“村庄经营”: 实现数字乡村高质量发展的策略选择[J]. 电子政务, 2024(2): 100-112.
	[Shen Feiwei, Cui Yu. From “government-led” to “village operation”: Strategic choices for achieving high-quality development of digital rural areas[J]. E-Government, 2024(2): 100-112. ]
[32]	杨玉欢, 贺建雄, 张新红, 等. 中国农文旅耦合协调发展空间分异特征及影响肌理[J]. 干旱区地理, 2023, 46(3): 448-459. doi: 10.12118/j.issn.1000-6060.2022.295
	[Yang Yuhuan, He Jianxiong, Zhang Xinhong, et al. Spatial differentiation characteristics and influencing texture of the coordinated development of the coupling coordinated development of agro-culture-tourism in China[J]. Arid Land Geography, 2023, 46(3): 448-459. ] doi: 10.12118/j.issn.1000-6060.2022.295
[33]	张磊, 王越, 陈华帅, 等. 数字乡村建设、产业振兴与农户收入提升[J]. 财经研究, 2025, 51(5): 19-33.
	[Zhang Lei, Wang Yue, Chen Huashuai, et al. Digital village construction, industrial revitalization, and rural households’ income enhancement[J]. Journal of Finance and Economics, 2025, 51(5): 19-33. ]
[34]	李刚, 王雨菲, 颜廷武. 数字化转型促进了乡村创新创业吗--基于“国家数字乡村试点”政策的准自然实验[J]. 经济学家, 2024(12): 114-124.
	[Li Gang, Wang Yufei, Yan Tingwu. Does digital transformation promote rural innovation and entrepreneurship: A quasi-natural experiment based on the “National Digital Rural Pilot” policy[J]. Economist, 2024(12): 114-124. ]
[35]	Yang J J, Pan W. The path of promoting rural ecological revitalization under the perspective of system concept[J]. Ecological Frontiers, 2024, 44(5): 950-957. doi: 10.1016/j.ecofro.2024.04.009
[36]	任洪杰, 李辉尚. 中国乡村生态韧性时空演变特征及影响因素探究[J]. 干旱区地理, 2024, 47(11): 1915-1923. doi: 10.12118/j.issn.1000-6060.2023.707
	[Ren Hongjie, Li Huishang. Spatial and temporal evolution characteristics and influencing factors of rural ecological resilience in China[J]. Arid Land Geography, 2024, 47(11): 1915-1923. ] doi: 10.12118/j.issn.1000-6060.2023.707
[37]	季连帅, 安娜. 数字治理的法治化展开: 核心命题与体系建构[J]. 学习与探索, 2023(5): 96-103.
	[Ji Lianshuai, An Na. The legalization of digital governance: Core propositions and system construction[J]. Study & Exploration, 2023(5): 96-103. ]
[38]	张世青. 数字时代实现共同富裕的正义要求及社会政策优化[J]. 探索, 2024(4): 79-91.
	[Zhang Shiqing. The justice requirement for the realization of common prosperity in the digital age and the optimization of social policy[J]. Probe, 2024(4): 79-91. ]

维度指标	准则指标	测度指标	方向	指标权重
数字宏观环境	数字化农业人才	每千人农业技术人员/人·(10⁴人)^-1	+	0.085
	数字化建设投入	人均信息传输、软件和信息技术服务业固定资产投资额/10⁴元·人^-1	+	0.041
	农村用电情况	农村人均用电量/10⁴ kWh·人^-1	+	0.013
数字信息基础	农村互联网普及率	农村宽带接入用户数占农村总户数的比重/%	+	0.055
	广播电视普及率	农村有线广播电视用户数占农村家庭总户数的比重/%	+	0.065
	农村移动电话普及率	农村居民家庭平均每百户移动电话拥有量/部·(10²户)^-1	+	0.129
	农村计算机普及率	农村居民家庭平均每百户计算机拥有量/台·(10²户)^-1	+	0.077
数字生活环境	农村物联网应用	农村投递路线密度（农村投递线路/行政区面积）/km·(10⁴km²)^-1	+	0.036
	农业气象观测服务水平	农业气象观测站密度（农业气象观测站/行政区面积）/个·(10⁴km²)^-1	+	0.078
	农村数字服务消费水平	农村人均交通和通讯支出/元·人^-1	+	0.073
	邮政通信服务水平	农村每周平均投递次数/次	+	0.075
数字产业发展	农村企业数字化水平	国家现代农业示范区和产业园数量、国家农村产业融合发展示范园数量及农业产业化国家重点龙头企业数/个	+	0.072
	农业农村数字基地	行政村中淘宝村占比/%	+	0.012
	农村网络支付水平	农村数字普惠金融指数	+	0.172
	农村数字交易水平	人均电商销售额和采购额/10⁴元·人^-1	+	0.018

维度指标	准则指标	测度指标	方向	指标权重
农民群体富裕度	农民收入水平	农村居民人均可支配收入/元·人^-1	+	0.051
	农民消费水平	农村居民人均消费支出/元·人^-1	+	0.056
	农民消费结构	农村居民家庭恩格尔系数/%	-	0.055
	农民财产性收入水平	农村居民人均财产性收入/元·人^-1	+	0.020
农民群体共同度	农民生活最低保障	农村最低生活保障/元·(人·a)^-1	+	0.044
	城乡收入差距	城乡收入倍差	-	0.053
	农民收入差距	农村基尼系数	-	0.081
	农民市民化	城镇化率/%	+	0.084
发展共享性	农民受教育水平	农村平均受教育年限/a	+	0.061
	农村医疗水平	人均农村医疗床位数/张	+	0.058
	农村社会保障	农村人均转移性收入/元·人^-1	+	0.038
	农村基础设施	集中供水行政村比例/%	+	0.104
	农村精神文化	农村人均文化娱乐消费/元·人^-1	+	0.068
发展可持续性	农村生态环境	农业碳排放强度/t·(10⁴元)^-1	-	0.052
	农村产业发展	农业全要素生产率	+	0.043
	农村产业收入	农林牧渔业职工平均工资/元·人^-1	+	0.071
	财政支农	人均农林水财政支出/10⁴元·人^-1	+	0.036
	金融发展	人均涉农贷款余额/元·人^-1	+	0.027

耦合协调度（D）	耦合协调发展水平
(0.0, 0.5]	濒临失调
(0.5, 0.6]	初级协调
(0.6, 0.7]	中级协调
(0.7, 1.0]	高级协调

变量	变量名称	变量说明
被解释变量	耦合协调度	数字乡村建设与农民共同富裕耦合协调度计算结果
解释变量	产业驱动	第二、三产业增加值/GDP
	政府驱动	公共财政预算农林水事务支出/GDP
	创新驱动	人均R&D人员全时当量/对应地区人口数
	生态驱动	能源消费总量/GDP
	数字正义驱动	数字金融使用深度

驱动因子	2011年	2017年	2023年
产业驱动	0.547^**	0.443^*	0.462^*
政府驱动	0.467^**	0.565^*	0.501^*
创新驱动	0.843^***	0.843^***	0.513^**
生态驱动	0.520^***	0.586^*	0.520^***
数字正义驱动	0.688^*	0.688^*	0.567^**

Spatiotemporal evolution and driving mechanism of the coupling and coordination between digital rural construction and farmers’ common prosperity

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[3]	JI Zenan, FU Wenting, WANG Pengcheng, LIAO Sheng, PAN Zheng. Coupling and coordination of digital economy and green development of agriculture in arid zones: A case of Xinjiang [J]. Arid Land Geography, 2024, 47(11): 1981-1990.
[4]	ZHANG Kaili,FENG Rongrong,LIU Tan,ZHANG Zhicheng,HAN Jianing,LIU Kang. Coordination and obstacle factors of urbanization and ecosystem service value in the Yellow River Basin [J]. Arid Land Geography, 2022, 45(4): 1254-1267.
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