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A Study on the Correlation Between Urbanization and Agricultural Economy Based on Efficiency Measurement and Quantile Regression: Evidence from China

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  • Hong Ye

    (School of Architecture, South China University of Technology, Guangzhou 510641, China)

  • Yaoyao Ding

    (School of Design and Art, Communication University of Zhejiang, Hangzhou 310019, China)

  • Rong Zhang

    (FutureFront Interdisciplinary Research Institute, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Yuntao Zou

    (FutureFront Interdisciplinary Research Institute, Huazhong University of Science and Technology, Wuhan 430074, China
    School of Computer of Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The impact of urbanization on the agricultural economy has long attracted scholarly attention. Taking China as a case, this study investigates the relationship between urbanization and agricultural development under the dual progress of urbanization and the rural revitalization strategy. Based on panel data from 31 mainland provinces, this paper measures agricultural economic efficiency using the global slack-based measure (SBM) model and employs quantile regression to systematically analyze the influence of various urbanization factors across different levels of agricultural efficiency. A Tobit regression model is further adopted for robustness checks. The results show that representative urbanization factors, such as the proportion of urban population and the prevalence of higher education, exert significant negative impacts on agricultural efficiency, particularly in regions with higher efficiency levels. Freight volume has a significantly negative effect in regions with medium and low efficiency, while freight turnover negatively impacts medium- to high-efficiency areas. In contrast, improvements in healthcare services and digital infrastructure are found to consistently enhance agricultural efficiency. Although the corporatization of agriculture is often regarded as a key outcome of urbanization, its efficiency-improving effect is not statistically significant in most models and is mainly concentrated in high-efficiency regions. Overall, the improvement in China’s agricultural economic efficiency relies more on direct support from the rural revitalization strategy, while rapid urbanization has failed to bring substantial benefits and has even led to structural negative effects. These adverse outcomes may stem from the rapid occupation of suburban farmland, increased logistics costs due to the relocation of agricultural activities, and the ineffective absorption of surplus rural labor. This study highlights the need for future urbanization policies in China to pay greater attention to the coordinated development of the agricultural economy. The methods and findings of this research also provide reference value for other developing regions facing similar urbanization-agriculture dynamics.

Suggested Citation

  • Hong Ye & Yaoyao Ding & Rong Zhang & Yuntao Zou, 2025. "A Study on the Correlation Between Urbanization and Agricultural Economy Based on Efficiency Measurement and Quantile Regression: Evidence from China," Sustainability, MDPI, vol. 17(13), pages 1-32, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5908-:d:1688498
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    References listed on IDEAS

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    1. Junli Gao & Chaofeng Shao & Sihan Chen, 2022. "Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model," IJERPH, MDPI, vol. 19(16), pages 1-17, August.
    2. Jiang, Changjun & Li, Jintao & Liu, Jilai, 2022. "Does urbanization affect the gap between urban and rural areas? Evidence from China," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Meseret Chanieabate & Hai He & Chuyue Guo & Betelhem Abrahamgeremew & Yuanji Huang, 2023. "Examining the Relationship between Transportation Infrastructure, Urbanization Level and Rural-Urban Income Gap in China," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    4. Catherine Paul & Richard Nehring & David Banker & Agapi Somwaru, 2004. "Scale Economies and Efficiency in U.S. Agriculture: Are Traditional Farms History?," Journal of Productivity Analysis, Springer, vol. 22(3), pages 185-205, November.
    5. Zhe Zhao & Pengyu Peng & Fan Zhang & Jiayin Wang & Hongxuan Li, 2022. "The Impact of the Urbanization Process on Agricultural Technical Efficiency in Northeast China," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    6. Bukarica, Vesna & Tomšić, Željko, 2017. "Energy efficiency policy evaluation by moving from techno-economic towards whole society perspective on energy efficiency market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 968-975.
    7. Pengfei Ge & Tan Liu & Xiaoxu Wu & Xiulu Huang, 2023. "Heterogenous Urbanization and Agricultural Green Development Efficiency: Evidence from China," Sustainability, MDPI, vol. 15(7), pages 1-22, March.
    8. Jinqi Su & Ke Su & Shubin Wang, 2021. "Does the Digital Economy Promote Industrial Structural Upgrading?—A Test of Mediating Effects Based on Heterogeneous Technological Innovation," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    9. Zhen Su & Joshua R. Aaron & William C. McDowell & Dan Dan Lu, 2019. "Sustainable Synergies between the Cultural and Tourism Industries: An Efficiency Evaluation Perspective," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    12. Dingde Xu & Zhuolin Yong & Xin Deng & Linmei Zhuang & Chen Qing, 2020. "Rural-Urban Migration and its Effect on Land Transfer in Rural China," Land, MDPI, vol. 9(3), pages 1-15, March.
    13. Justas Streimikis & Zhuang Miao & Tomas Balezentis, 2021. "Creation of climate‐smart and energy‐efficient agriculture in the European Union: Pathways based on the frontier analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 576-589, January.
    14. Asif Reza Anik & Sanzidur Rahman & Jaba Rani Sarker, 2020. "Five Decades of Productivity and Efficiency Changes in World Agriculture (1969–2013)," Agriculture, MDPI, vol. 10(6), pages 1-20, June.
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