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The efficiency of consumption poverty alleviation and improvement measures in Guizhou, China

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  • Chen, Junlin
  • Zhang, Ying
  • Wang, Wenqing
  • Yang, Can
  • Li, Jiayue
  • Wu, Yulun

Abstract

This study aims to measure the efficiency of consumption poverty alleviation (CPA) in Guizhou Province, China. Using the Data Envelopment Analysis (DEA) model, we analyzed the data of 20 counties in Guizhou Province that have been alleviated from poverty from 2017 to 2020. Under the DEA model, the specific input indicator system is constructed from the perspective of the supply chain of CPA. After calculating the efficiency of 20 counties, it can be found that four counties are relatively efficient, whereas other counties still have room for improvement. Additionally, by learning from the CPA policies of relatively efficient counties and making corresponding adjustments, the remaining counties can achieve different degrees of improvement in the efficiency of CPA; that is, the relevant policies have practical significance.

Suggested Citation

  • Chen, Junlin & Zhang, Ying & Wang, Wenqing & Yang, Can & Li, Jiayue & Wu, Yulun, 2022. "The efficiency of consumption poverty alleviation and improvement measures in Guizhou, China," Energy, Elsevier, vol. 248(C).
    • Handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222004753
    DOI: 10.1016/j.energy.2022.123572
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    References listed on IDEAS

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    1. Wu, Yunna & Ke, Yiming & Zhang, Ting & Liu, Fangtong & Wang, Jing, 2018. "Performance efficiency assessment of photovoltaic poverty alleviation projects in China: A three-phase data envelopment analysis model," Energy, Elsevier, vol. 159(C), pages 599-610.
    2. Piot-Lepetit, Isabelle & Nzongang, Joseph, 2014. "Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi-DEA approach," European Journal of Operational Research, Elsevier, vol. 234(1), pages 319-330.
    3. Zhang, Lin & Zhao, Linlin & Zha, Yong, 2021. "Efficiency evaluation of Chinese regional industrial systems using a dynamic two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    4. Cong, Di & Liang, Lingling & Jing, Shaoxing & Han, Yongming & Geng, Zhiqiang & Chu, Chong, 2021. "Energy supply efficiency evaluation of integrated energy systems using novel SBM-DEA integrating Monte Carlo," Energy, Elsevier, vol. 231(C).
    5. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    6. Isabelle Piot-Lepetit & Joseph Nzongang, 2014. "Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi DEA approach," Post-Print hal-02639487, HAL.
    7. Moon, Hana & Min, Daiki, 2017. "Assessing energy efficiency and the related policy implications for energy-intensive firms in Korea: DEA approach," Energy, Elsevier, vol. 133(C), pages 23-34.
    8. 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.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    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. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
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    Cited by:

    1. Zeng, Qiyan & He, Zhipeng & Zeng, Yinchu, 2023. "Public procurement, consumers' preference and poverty alleviation through consumption," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

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