IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v248y2022ics0360544222004753.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222004753
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.123572?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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).
    9. 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).
    10. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.
    2. Lampe, Hannes W. & Hilgers, Dennis, 2015. "Trajectories of efficiency measurement: A bibliometric analysis of DEA and SFA," European Journal of Operational Research, Elsevier, vol. 240(1), pages 1-21.
    3. 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).
    4. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, June.
    5. Huayong Niu & Zhishuo Zhang & Yao Xiao & Manting Luo & Yumeng Chen, 2022. "A Study of Carbon Emission Efficiency in Chinese Provinces Based on a Three-Stage SBM-Undesirable Model and an LSTM Model," IJERPH, MDPI, vol. 19(9), pages 1-19, April.
    6. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    7. Niels Hermes & Marek Hudon, 2018. "Determinants Of The Performance Of Microfinance Institutions: A Systematic Review," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1483-1513, December.
    8. Maxime LEBOVICS & Niels HERMES & Marek HUDON, 2016. "Are Financial And Social Efficiency Mutually Exclusive? A Case Study Of Vietnamese Microfinance Institutions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 87(1), pages 55-77, December.
    9. Avkiran, Necmi K., 2007. "Stability and integrity tests in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 41(3), pages 224-234, September.
    10. Wang, Zhaohua & Li, Yi & Wang, Ke & Huang, Zhimin, 2017. "Environment-adjusted operational performance evaluation of solar photovoltaic power plants: A three stage efficiency analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1153-1162.
    11. Hall, Maximilian J.B. & Kenjegalieva, Karligash A. & Simper, Richard, 2012. "Environmental factors affecting Hong Kong banking: A post-Asian financial crisis efficiency analysis," Global Finance Journal, Elsevier, vol. 23(3), pages 184-201.
    12. Patrick Van Damme & Mahinda Wijesiri & Michele Meoli, 2016. "Governance and Efficiency of Microfinance Institutions," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(2), pages 236-247, September.
    13. Mahinda Wijesiri & Almudena Martínez-Campillo & Peter Wanke, 2019. "Is there a trade-off between social and financial performance of public commercial banks in India? A multi-activity DEA model with shared inputs and undesirable outputs," Review of Managerial Science, Springer, vol. 13(2), pages 417-442, April.
    14. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    15. Almudena Martínez-Campillo & Yolanda Fernández-Santos & María Pilar Sierra-Fernández, 2018. "How Well Have Social Economy Financial Institutions Performed During the Crisis Period? Exploring Financial and Social Efficiency in Spanish Credit Unions," Journal of Business Ethics, Springer, vol. 151(2), pages 319-336, August.
    16. da Cruz, Nuno Ferreira & Marques, Rui Cunha, 2014. "Revisiting the determinants of local government performance," Omega, Elsevier, vol. 44(C), pages 91-103.
    17. Yung-Ho Chiu & Yu-Chuan Chen & Xue-Jie Bai, 2011. "Efficiency and risk in Taiwan banking: SBM super-DEA estimation," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 587-602.
    18. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2015. "Performance of microfinance institutions in achieving the poverty outreach and financial sustainability: When age and size matter?," MPRA Paper 69821, University Library of Munich, Germany.
    19. Avkiran, Necmi K., 2009. "Removing the impact of environment with units-invariant efficient frontier analysis: An illustrative case study with intertemporal panel data," Omega, Elsevier, vol. 37(3), pages 535-544, June.
    20. Avkiran, Necmi K., 2006. "Developing foreign bank efficiency models for DEA grounded in finance theory," Socio-Economic Planning Sciences, Elsevier, vol. 40(4), pages 275-296, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:248:y:2022:i:c:s0360544222004753. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.