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Financial Support Efficiency of Rural Revitalization: Based on Three-Stage DEA Model and Malmquist Index Model

Author

Listed:
  • Xiaqun Liu

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

  • Yaming Zhuang

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

  • Xiaoyue Qiu

    (School of Economics and Management, Southeast University, Nanjing 211189, China)

Abstract

Financial resources play a crucial role in rural revitalization. Understanding the efficiency of financial support is essential for the scientific and rational allocation of these resources. Therefore, we conducted an assessment over the period 2011–2020 utilizing the three-stage DEA model and the Malmquist index model to measure the efficiency of financial support for rural revitalization across 30 Chinese provinces (excluding Hong Kong, Macao, Taiwan, and Tibet) from both static and dynamic perspectives. The results indicate the following: (1) Despite an overall downward trend, efficiency increased during specific intervals, namely 2012–2013, 2015–2016, and 2018–2019. (2) Regionally, the decline in the efficiency of financial support for rural revitalization is particularly notable in the northeast region. The eastern and central regions also experienced this trend to a lesser extent, whereas the western region experienced a more moderate decrease. However, a detailed analysis revealed that 10 provinces experienced efficiency gains. (3) Stochastic Frontier Analysis (SFA) regression results suggest that environmental variables have a measurable impact on the efficiency of financial support for rural revitalization.

Suggested Citation

  • Xiaqun Liu & Yaming Zhuang & Xiaoyue Qiu, 2025. "Financial Support Efficiency of Rural Revitalization: Based on Three-Stage DEA Model and Malmquist Index Model," Sustainability, MDPI, vol. 17(3), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:3:p:946-:d:1576064
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    References listed on IDEAS

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    1. Wang, Xiuhua & Wang, Yipeng & Zhao, Yaxiong, 2022. "Financial permeation and rural poverty reduction Nexus: Further insights from counties in China," China Economic Review, Elsevier, vol. 76(C).
    2. Helu Xiao & Na Wang & Shanping Wang, 2023. "Dynamic sustainability assessment of poverty alleviation in China: evidence from both novel non-convex global two-stage DEA and Malmquist productivity index," Operational Research, Springer, vol. 23(2), pages 1-40, June.
    3. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    4. Jianlin Wang & Junbo Tong & Zhong Fang, 2024. "Assessing the Drivers of Sustained Agricultural Economic Development in China: Agricultural Productivity and Poverty Reduction Efficiency," Sustainability, MDPI, vol. 16(5), pages 1-18, March.
    5. Yaobin Wang & Ying Song & Guangfeng Chen & Shihua Huang & Meizhen Wang & Yinggang Pan, 2021. "The Measurement and Temporal and Spatial Evolution of Tourism Poverty Alleviation Efficiency in the Liupan Mountain Area of Gansu Province, China," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    6. Robin Burgess & Rohini Pande, 2005. "Do Rural Banks Matter? Evidence from the Indian Social Banking Experiment," American Economic Review, American Economic Association, vol. 95(3), pages 780-795, June.
    7. Fan, Shuaishuai & Jiang, Meihui & Sun, Daoyuan & Zhang, Shunkai, 2023. "Does financial development matter the accomplishment of rural revitalization? Evidence from China," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 620-633.
    8. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    9. Chenghan Guo & Rong Zhang & Yuntao Zou, 2023. "The Efficiency of China’s Agricultural Circular Economy and Its Influencing Factors under the Rural Revitalization Strategy: A DEA–Malmquist–Tobit Approach," Agriculture, MDPI, vol. 13(7), pages 1-26, July.
    10. Lin, Boqiang & Wang, You, 2024. "How does natural disasters affect China agricultural economic growth?," Energy, Elsevier, vol. 296(C).
    11. Gong, Qinyi & Zhang, Rui, 2025. "Digital finance as a catalyst for energy transition and sustainable rural economic growth," Finance Research Letters, Elsevier, vol. 71(C).
    12. Lin, Han & Peng, Pin, 2025. "Impacts of Digital Inclusive Finance, Human Capital and Digital Economy on Rural Development in Developing Countries," Finance Research Letters, Elsevier, vol. 73(C).
    13. Jiang, Youxue, 2024. "Public service equalization, digital financial inclusion and the rural revitalization: Evidence from Chinese 283 prefecture-level cities," International Review of Economics & Finance, Elsevier, vol. 96(PB).
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