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The poverty alleviation efficiency of social entities in Gansu Province in China based on the three-stage DEA model

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  • Chen, Junlin
  • Zhang, Ying
  • Wang, Zhifeng
  • Wang, Yizhen
  • Bi, Xinran

Abstract

Regions with high poverty designation, such as Gansu, face challenges due to natural conditions and a fragile economy. Cooperation among social entities is crucial in areas where poverty cannot be resolved internally. This paper investigates the poverty alleviation efficiency of social entities in Gansu, China for the period 2018–2020 using a three-stage data envelopment analysis (DEA) model. We construct input, output and environmental indicators. The results show that, (1) colleges and universities have the highest poverty alleviation efficiency, while state-owned enterprises exhibit significant variations due to differences in profitability and input imbalances; (2)From 2018 to 2020, the poverty alleviation efficiency of most social entities has been on the rise, except for social organisations, which experienced a decline in 2020 possibly due to the impact of the COVID-19 epidemic; (3) Overall, the efficiency of social entities in poverty alleviation is not entirely effective, especially in the field of education. This is primarily due to the challenges of accurately addressing the specific needs of impoverished regions through external poverty alleviation efforts. Finally, we explain the analytical framework that can be extended to evaluate poverty alleviation efficiency in other places and countries.

Suggested Citation

  • Chen, Junlin & Zhang, Ying & Wang, Zhifeng & Wang, Yizhen & Bi, Xinran, 2025. "The poverty alleviation efficiency of social entities in Gansu Province in China based on the three-stage DEA model," Energy, Elsevier, vol. 330(C).
    • Handle: RePEc:eee:energy:v:330:y:2025:i:c:s0360544225022480
    DOI: 10.1016/j.energy.2025.136606
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