Environmental Change and Agricultural Development

Spatio-temporal pattern of China's new quality agricultural productive forces and their impact on agriculture

  • GAO Jing , 1 ,
  • ZHU Jintao 1 ,
  • LI Yurui , 2, 3 ,
  • GONG Yanling 1 ,
  • SHEN Mei 1
Expand
  • 1. College of Economics and Management, Southwest University, Chongqing 400715, China
  • 2. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 3. School of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2024-12-12

  Revised date: 2025-04-25

  Online published: 2025-05-23

Supported by

National Social Science Fund of China(21BGL078)

National Natural Science Foundation of China(42471232)

Abstract

Cultivating new quality agricultural productive forces (NQAPFs) is an intrinsic requirement for promoting the construction of a strong agricultural country. It is of great practical significance to explain the scientific connotation of NQAPFs in China, analyze their spatial and temporal characteristics, and examine their impact on strengthening China's agriculture. This paper constructs an index system for measuring NQAPFs from four dimensions: agricultural science and technology, labor factors, industrial upgrading and agroecology, based on panel data from 30 provincial-level areas in China from 2012 to 2022. The Theil index, Markov chain and double machine learning methods are used to analyze the spatial and temporal patterns of NQAPFs, identify lagging regions, and empirically test the impact of NQAPFs on agricultural labor productivity and farmers' income. The research found that: China's NQAPFs increased steadily, with industrial upgrading contributing the most and the contributions of the labor factor and agroecology relatively weak; the current development presents a pattern of "high in the east and low in the west", with the eastern region>northeast region>central region>western region, and regional development is unbalanced. However, the NQAPFs converged towards higher levels, and the distribution dynamics are internally stable. Except for the northeast region, there is a converging trend of rapid growth in low-value areas in the eastern, central and western regions of the country. Econometric analysis shows that NQAPFs have significant positive impact on both agricultural labor productivity and farmers' income; 17 provincial-level areas with weak NQAPFs have been identified, mainly in the western and northeast regions. In the future, the focus of efforts to improve China's NQAPFs should be on increasing investment in agricultural science and technology, continuing to promote industrial upgrading, improving the quality of the workforce, strengthening the protection of agricultural ecosystems, and accelerating the improvement of the comprehensive development level of NQAPFs in central and western China.

Cite this article

GAO Jing , ZHU Jintao , LI Yurui , GONG Yanling , SHEN Mei . Spatio-temporal pattern of China's new quality agricultural productive forces and their impact on agriculture[J]. Acta Geographica Sinica, 2025 , 80(5) : 1386 -1404 . DOI: 10.11821/dlxb20250515

[1]
Chang Xuan. Accelerating the formation of agricultural new quality productive forces: Theoretical framework, realistic dilemma and practical approach. On Economic Problems, 2024(7): 20-28.

[常璇. 加快形成农业新质生产力: 理论框架、现实困境与实践进路. 经济问题, 2024(7): 20-28.]

[2]
Wei Longbao. The path to agricultural modernization in China under the context of "big country, small farmers": Discussing the intrinsic logic and realization path of cultivating new quality productive forces in agriculture. Frontiers, 2024(10): 47-54.

[卫龙宝. “大国小农”背景下中国农业现代化之路: 兼论培育农业领域新质生产力的内在逻辑与实现路径. 人民论坛·学术前沿, 2024(10): 47-54.]

[3]
Yu Fawen, Lin Shan. Key Issue, Objective resetting of new-type sustainable agriculture and its path and strategies. Studies on Socialism with Chinese Characteristics, 2022, 13(Suppl.1): 38-45.

[于法稳, 林珊. 新型生态农业发展的突出问题、目标重塑及路径策略. 中国特色社会主义研究, 2022, 13(Suppl.1): 38-45.]

[4]
Gong Binlei, Zhang Qizheng. Building up China's strength in agriculture by improving agricultural total factor productivity. Economic Review Journal, 2023(9): 29-37.

[龚斌磊, 张启正. 以提升农业全要素生产率助力农业强国建设的路径. 经济纵横, 2023(9): 29-37.]

[5]
Liu Tongshan, Liu Jie. Does appropriate scale management promote the formation of new quality productive forces in agriculture? Empirical analysis based on the framework of "productive forces-production mode-labor productivity". Reform, 2024(10): 44-61.

[刘同山, 刘婕. 适度规模经营促进了农业新质生产力形成吗? 基于“生产力—生产方式—劳动生产率”框架的实证分析. 改革, 2024(10): 44-61.]

[6]
Schumpeter J A, Swedberg R. The Theory of Economic Development. London:Routledge, 2021.

[7]
Song Jia, Zhang Jinchang, Pan Yi. Research on the impact of ESG development on new quality productive forces of enterprises: Empirical evidence from Chinese A-share listed companies. Contemporary Economic Management, 2024, 46(6): 1-11.

[宋佳, 张金昌, 潘艺. ESG发展对企业新质生产力影响的研究: 来自中国A股上市企业的经验证据. 当代经济管理, 2024, 46(6): 1-11.]

[8]
Solow R M. Technical change and the aggregate production function. Review of Economics and Statistics, 1957, 39(3): 312-320.

[9]
Luo Biliang, Geng Pengpeng. New quality agricultural productivity: Theoretical framework, core concepts, and enhancement pathways. Issues in Agricultural Economy, 2024(4): 13-26.

[罗必良, 耿鹏鹏. 农业新质生产力: 理论脉络、基本内核与提升路径. 农业经济问题, 2024(4): 13-26.]

[10]
Jiang Changyun. The agricultural new quality productive forces: Connotations, development priorities, constraints and policy recommendations for the development. Journal of Nanjing Agricultural University(Social Sciences Edition), 2024, 24(3): 1-17.

[姜长云. 农业新质生产力:内涵特征、发展重点、面临制约和政策建议. 南京农业大学学报(社会科学版), 2024, 24(3): 1-17.]

[11]
You Liang, Tian Xiangyu. New quality agricultural productive force: Realistic logic, connotation analysis and generation mechanism. On Economic Problems, 2024(6): 27-35.

[尤亮, 田祥宇. 农业新质生产力: 现实逻辑、内涵解析与生成机理. 经济问题, 2024(6): 27-35.]

[12]
Huang Jikun. New quality productive forces in agriculture: Connotation and denotation, potential and challenges, and development ideas. China Rural Survey, 2024(5): 19-34.

[黄季焜. 农业新质生产力: 内涵与外延、潜力与挑战和发展思路. 中国农村观察, 2024(5): 19-34.]

[13]
Gao Qiang, Cheng Changming. New quality agricultural productive forces and new-type production relations: Logical thinking and reform paths. Journal of China Agricultural University (Social Sciences), 2024, 41(4): 41-54.

[高强, 程长明. 农业新质生产力与新型生产关系:逻辑思路与改革路径. 中国农业大学学报(社会科学版), 2024, 41(4): 41-54.]

[14]
Zhu Tianyi, Huang Huijing, Ying Li. The formation logic and influencing factors of "de agriculturalization" in the development of new quality agricultural productivity. Journal of Southwest Minzu University (Humanities and Social Sciences Edition), 2024, 45(6): 179-191.

[朱天义, 黄慧晶, 应立. 农业新质生产力发展中的“去小农化”形成逻辑及影响因素. 西南民族大学学报(人文社会科学版), 2024, 45(6): 179-191.]

[15]
Fragomeli R, Annunziata A, Punzo G. Promoting the transition towards agriculture 4.0: A systematic literature review on drivers and barriers. Sustainability, 2024, 16(6): 2425. DOI: 10.3390/su16062425.

[16]
Pretty J, Benton T G, Bharucha Z P, et al. Global assessment of agricultural system redesign for sustainable intensification. Nature Sustainability, 2018, 1(8): 441-446.

[17]
Xiong Q, Guo X Y, Yang J Y. Digital financial inclusion, land circulation and high-quality development of agriculture. Sustainability, 2024, 16(11): 4775. DOI: 10.3390/su16114775.

[18]
Zhu Di, Ye Linxiang. Agricultural new quality productive force in China: Level measurement and dynamic evolution. Statistics & Decision, 2024, 40(9): 24-30.

[朱迪, 叶林祥. 中国农业新质生产力: 水平测度与动态演变. 统计与决策, 2024, 40(9): 24-30.]

[19]
Yang Junge, Wang Qinmei. Regional differences and convergence of the development level of new quality productivity in digital agriculture. Journal of Xi'an University of Finance and Economics, 2025, 38(1): 43-57.

[杨军鸽, 王琴梅. 数字农业新质生产力发展水平的地区差异及收敛性. 西安财经大学学报, 2025, 38(1): 43-57.]

[20]
Chen Huiqing, Zeng Fusheng. Study on the influence of new quality agricultural productive forces on agricultural modernization development. Agricultural Economics and Management, 2024(3): 27-41.

[陈慧卿, 曾福生. 农业新质生产力对农业现代化发展的影响研究. 农业经济与管理, 2024(3): 27-41.]

[21]
Qiao Jun, Tai Dejin, Qiu Yuzhuo. The mechanism and effect of empowering agricultural carbon reduction with new quality productivity in agriculture. Contemporary Economic Management, 2024, 46(12): 42-55.

[乔均, 台德进, 邱玉琢. 农业新质生产力赋能农业碳减排的机理与效应. 当代经济管理, 2024, 46(12): 42-55.]

[22]
Jia Kang, Guo Qirui. A study on the impact of digital inclusive finance on new agricultural productive forces. Journal of Central China Normal University(Humanities and Social Sciences), 2024, 63(4): 1-13.

[贾康, 郭起瑞. 数字普惠金融对农业新质生产力的影响研究. 华中师范大学学报(人文社会科学版), 2024, 63(4): 1-13.]

[23]
Li Yongbin, Liu Dianguo. Research on the mechanism of agricultural insurance to promote the development of new agricultural productivity. Finance and Economy, 2024(7): 38-49.

[李勇斌, 刘殿国. 农业保险促进农业新质生产力发展的作用机制研究. 金融与经济, 2024(7): 38-49.]

[24]
Li Shengzhu, Xue Feng, Jiang Jingui. Effect of agricultural digitization on new productive forces of food in China. Journal of Agro-Forestry Economics and Management, 2024, 23(4): 435-445.

[李盛竹, 薛枫, 姜金贵. 农业数字化对中国粮食新质生产力的影响效应研究. 农林经济管理学报, 2024, 23(4): 435-445.]

[25]
Li Huishang, Hu Chenpei, Ji Yong, et al. Agricultural labor transfer, productivity improvement and macroeconomic growth: Based on an international comparison of 55 economies. Issues in Agricultural Economy, 2021(7): 117-129.

[李辉尚, 胡晨沛, 季勇, 等. 农业劳动力转移、生产率提升与宏观经济增长: 基于全球55个经济体的国际比较. 农业经济问题, 2021(7): 117-129.]

[26]
Cheng Dening, Li Yan. The impact of agricultural industrial restructuring on agricultural labor productivity. Inquiry into Economic Issues, 2016(11): 148-153, 172.

[成德宁, 李燕. 农业产业结构调整对农业劳动生产率的影响. 经济问题探索, 2016(11): 148-153, 172.]

[27]
Wang Shichun, Yin Hui, Chen Chuanbo, et al. Effect of land quality on agricultural labor productivity: Empirical evidence from county-level data of 6 provinces. China Population, Resources and Environment, 2011, 21(Suppl.1): 330-333.

[王士春, 尹辉, 陈传波, 等. 土地质量对农业劳动生产率的影响: 来自六省县级数据的经验证据. 中国人口·资源与环境, 2011, 21(Suppl.1): 330-333.]

[28]
Li Lin, Guo Dong, Qiao Lu. How does digital inclusive finance affect farmers' income? Theoretical mechanisms and county evidence. Research on Economics and Management, 2024, 45(4): 3-23.

[李琳, 郭东, 乔璐. 数字普惠金融何以影响农民增收? 理论机制与县域证据. 经济与管理研究, 2024, 45(4): 3-23.]

[29]
Chen Yuying. Rural industrial integration, county entrepreneurial activities and farmers' income increase. Journal of Shanxi University of Finance and Economics, 2024, 46(5): 73-83.

[陈钰莹. 农村产业融合、县域创业活动与农民增收. 山西财经大学学报, 2024, 46(5): 73-83.]

[30]
Wang Yi, Liu Lei. Entrepreneurship quality of returned migrant workers and common prosperity of farmers. Statistical Research, 2024, 41(5): 124-136.

[王轶, 刘蕾. 返乡创业质量与农民共同富裕. 统计研究, 2024, 41(5): 124-136.]

[31]
Xi Jinping. The development of new quality productive forces is an intrinsic requirement and an important focus for promoting high-quality development. Journal of Ningxia Agriculture and Forestry Science and Technology, 2024, 65(11): 1-2.

[习近平. 发展新质生产力是推动高质量发展的内在要求和重要着力点. 宁夏农林科技, 2024, 65(11): 1-2.]

[32]
Knickel K, Ashkenazy A, Chebach C T, et al. Agricultural modernization and sustainable agriculture: Contradictions and comple-mentarities. International Journal of Agricultural Sustainability, 2017, 15(5): 575-592.

[33]
Pu Qingping, Xiang Wang. New quality productivity and its utilizations: New driving force for Chinese modernization. Journal of Xinjiang Normal University (Philosophy and Social Sciences), 2024, 45(1): 77-85.

[蒲清平, 向往. 新质生产力的内涵特征、内在逻辑和实现途径: 推进中国式现代化的新动能. 新疆师范大学学报(哲学社会科学版), 2024, 45(1): 77-85.]

[34]
Mukherjee A N, Kuroda Y. Convergence in rural development: Evidence from India. Journal of Asian Economics, 2002, 13(3): 385-398.

[35]
Dev S M. Inclusive development in India: Agriculture, hunger, poverty, inequalities and human development. IASSI Quarterly, 2024, 43(1): 5-62.

[36]
Jiang Changyun. The transformation of agricultural development mode from the perspective of innovation driven. Reform, 2015(12): 83-93.

[姜长云. 创新驱动视野的农业发展方式转变. 改革, 2015(12): 83-93.]

[37]
Xue Chao, Shi Xueyang, Zhou Hong. Influence path of agricultural mechanization on total factor productivity growth in planting industry. Journal of Agrotechnical Economics, 2020(10): 87-102.

[薛超, 史雪阳, 周宏. 农业机械化对种植业全要素生产率提升的影响路径研究. 农业技术经济, 2020(10): 87-102.]

[38]
King F H. Farmers of forty centuries: Permanent agriculture in China, Korea and Japan. Madison: Mrs. King F H, 1911.

[39]
Diakoulaki D, Mavrotas G, Papayannakis L. Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research, 1995, 22(7): 763-770.

[40]
Fan Z G, Deng Z K, Qi Y W, et al. Spatial-temporal pattern and evolutionary trend of eco-efficiency of real estate development in the Yangtze River Economic Belt. Frontiers in Environmental Science, 2022(10): 996152. DOI:10.3389/fenvs.2022.996152.

[41]
Theil H. Economics and Information Theory. Amsterdam: North-Holland Publishing Company, 1967.

[42]
Nie Changfei, Jian Xinhua. Measurement of China's high-quailty development and analysis of provincial status. Journal of Quantitative & Technological Economics, 2020, 37(2): 26-47.

[聂长飞, 简新华. 中国高质量发展的测度及省际现状的分析比较. 数量经济技术经济研究, 2020, 37(2): 26-47.]

[43]
Guo Baojie, Zhang Jianghua, Fu Xuemei. Analysis of China's health system efficiency and convergence test based on regional heterogeneity. Chinese Journal of Management Science, 2024. DOI: 10.16381/j.cnki.issn1003-207x.2023.1862.

[郭宝洁, 张江华, 付学梅. 基于区域异质性的中国卫生系统效率分析及收敛性检验. 中国管理科学, 2024. DOI: 10.16381/j.cnki.issn1003-207x.2023.1862.]

[44]
Chen Liupeng, Xie Bangsheng, Zhou Ziwei, et al. Whether the construction of digital villages has promoted the integration of rural industries: Causal inference based on double machine learning. Finance and Economy, 2024(5): 60-70.

[陈鎏鹏, 谢帮生, 周子渭, 等. 数字乡村建设是否推动了农村产业融合: 基于双重机器学习的因果推断. 金融与经济, 2024(5): 60-70.]

[45]
Yang J C, Chuang H C, Kuan C M. Double machine learning with gradient boosting and its application to the big N audit quality effect. Journal of Econometrics, 2020, 216(1): 268-283.

[46]
Zhang Tao, Li Junchao. Network infrastructure, inclusive green growth, and regional inequality: From causal inference based on double machine learning. Journal of Quantitative & Technological Economics, 2023, 40(4): 113-135.

[张涛, 李均超. 网络基础设施、包容性绿色增长与地区差距: 基于双重机器学习的因果推断. 数量经济技术经济研究, 2023, 40(4): 113-135.]

[47]
Wen Feng'an. The modernization of agricultural ecological governance under the rural revitalization strategy: Theoretical interpretation, problem review and development path. Reform of Economic System, 2022(1): 82-87.

[文丰安. 乡村振兴战略下农业生态治理现代化:理论阐释、问题审视及发展进路. 经济体制改革, 2022(1): 82-87.]

[48]
Ling Tao, Zhao Guiqin. Agricultural insurance and agricultural production resilience: internal logic and empirical tests. Journal of South China Agricultural University (Social Science Edition), 2024, 23(2): 94-106.

[令涛, 赵桂芹. 农业保险与农业生产韧性:内在逻辑及实证检验. 华南农业大学学报(社会科学版), 2024, 23(2): 94-106.]

[49]
Huang Li, Wang Dingxiang, Li Lingli. Environmental endowments, agricultural investment and farm household productivity. Journal of Southwest University (Social Sciences Edition), 2021, 47(1): 72-82.

[黄莉, 王定祥, 李伶俐. 环境禀赋、农业投资与农户生产效率. 西南大学学报(社会科学版), 2021, 47(1): 72-82.]

[50]
Latysheva L A, Piterskaya L Y, Sklyarov I Y, et al. The reproduction of fixed assets in agriculture//Bogoviz A V. The Challenge of Sustainability in Agricultural Systems: volume 1. Cham: Springer International Publishing, 2021: 567-575.

[51]
Pan W, Wang J, Lu Z, et al. High-quality development in China: Measurement system, spatial pattern, and improvement paths. Habitat International, 2021, 118: 102458. DOI: 10.1016/j.habitatint.2021.102458.

Outlines

/