IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i16p10149-d889343.html
   My bibliography  Save this article

A Comprehensive Performance Evaluation of Chinese Energy Supply Chain under “Double-Carbon” Goals Based on AHP and Three-Stage DEA

Author

Listed:
  • Xiaoqing Huang

    (School of Public Policy and Administration, Nanchang University, Nanchang 330031, China
    School of Business, Jiangxi University of Science and Technology, Nanchang 330013, China)

  • Xiaoyong Lu

    (Gongqing Institute of Science and Technology, Jiujiang 332020, China)

  • Yuqi Sun

    (School of Business, Jiangxi University of Science and Technology, Nanchang 330013, China)

  • Jingui Yao

    (Nanchang JiaoTong Institute, Nanchang 330100, China)

  • Wenxing Zhu

    (School of Business, Jiangxi University of Science and Technology, Nanchang 330013, China)

Abstract

In 2020, China put forward the goals of “peak carbon dioxide emissions” and “carbon neutrality” (“double-carbon”) and it is urgent for the energy industry to achieve green transformation. Aiming at the rigid requirements of the carbon-peaking and carbon-neutrality goals (“double-carbon”), this study established a performance evaluation index system for an energy supply chain of a four-tier structure based on the “double-carbon” goals, calculating its weight by the analytic hierarchy process (AHP). On this basis, a three-stage data envelopment analysis (DEA) evaluation model was established to evaluate the performance of the energy supply chain in 2010–2019. According to the three-stage DEA evaluation mode, the initial input–output efficiency value of the energy supply chain was calculated by the DEA-BCC (extended by Banker, Charnes and Cooper) model and DEA-CCR (proposed by Charnes, Cooper and Rhodes) model and the influence of environmental noise was eliminated by stochastic frontier analysis (SFA) regression; we then obtained the adjusted efficiency value for the energy supply chain. At the same time, taking 2015 as the dividing point, the advantages and disadvantages between the traditional energy supply chain and new energy supply chain were analyzed and summarized. Further analysis and suggestions are provided to consumers, enterprises and countries from four aspects: energy supply, energy production and processing, energy transmission and distribution and energy consumption.

Suggested Citation

  • Xiaoqing Huang & Xiaoyong Lu & Yuqi Sun & Jingui Yao & Wenxing Zhu, 2022. "A Comprehensive Performance Evaluation of Chinese Energy Supply Chain under “Double-Carbon” Goals Based on AHP and Three-Stage DEA," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10149-:d:889343
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/16/10149/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/16/10149/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Esmaeil Ahmadi & Benjamin McLellan & Seiichi Ogata & Behnam Mohammadi-Ivatloo & Tetsuo Tezuka, 2020. "An Integrated Planning Framework for Sustainable Water and Energy Supply," Sustainability, MDPI, vol. 12(10), pages 1-37, May.
    2. Rossi, Mosè & Spedaletti, Samuele & Lorenzetti, Matteo & Salvi, Danilo & Renzi, Massimiliano & Comodi, Gabriele & Caresana, Flavio & Pelagalli, Leonardo, 2021. "A methodology to estimate average flow rates in Water Supply Systems (WSSs) for energy recovery purposes through hydropower solutions," Renewable Energy, Elsevier, vol. 180(C), pages 1101-1113.
    3. Chaudry, Modassar & Jayasuriya, Lahiru & Jenkins, Nick, 2021. "Modelling of integrated local energy systems: Low-carbon energy supply strategies for the Oxford-Cambridge arc region," Energy Policy, Elsevier, vol. 157(C).
    4. Ziyuan Zhang & Liying Yu, 2021. "Dynamic Optimization and Coordination of Cooperative Emission Reduction in a Dual-Channel Supply Chain Considering Reference Low-Carbon Effect and Low-Carbon Goodwill," IJERPH, MDPI, vol. 18(2), pages 1-33, January.
    5. Emenike, Scholastica N. & Falcone, Gioia, 2020. "A review on energy supply chain resilience through optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    6. Carmen Ferrara & Giovanni De Feo, 2021. "Environmental Assessment of the Recycled Paper Production: The Effects of Energy Supply Source," Sustainability, MDPI, vol. 13(9), pages 1-16, April.
    7. Chuanhui Xiong & Anna G. Devlin & Jatinder N. D. Gupta & Xiangrong Liu, 2022. "Effect of price reduction on renewable energy technology supply chain performance and contract design," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(4), pages 822-839, March.
    8. Helm, Carsten & Mier, Mathias, 2021. "Steering the energy transition in a world of intermittent electricity supply: Optimal subsidies and taxes for renewables and storage," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
    9. Tsao, Yu-Chung & Thanh, Vo-Van & Chang, Yi-Ying & Wei, Hsi-Hsien, 2021. "COVID-19: Government subsidy models for sustainable energy supply with disruption risks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    10. Horak, Daniel & Hainoun, Ali & Neumann, Hans-Martin, 2021. "Techno-economic optimisation of long-term energy supply strategy of Vienna city," Energy Policy, Elsevier, vol. 158(C).
    11. Barragán-Escandón, Edgar A. & Zalamea-León, Esteban F. & Terrados-Cepeda, Julio & Vanegas-Peralta, P.F., 2020. "Energy self-supply estimation in intermediate cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 129(C).
    12. Fahad Bin Abdullah & Rizwan Iqbal & Sadique Ahmad & Mohammed A. El-Affendi & Maria Abdullah, 2022. "An Empirical Analysis of Sustainable Energy Security for Energy Policy Recommendations," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    13. Yosra Ghabri & Ahmed Ayadi & Khaled Guesmi, 2021. "Fossil energy and clean energy stock markets under COVID-19 pandemic," Applied Economics, Taylor & Francis Journals, vol. 53(43), pages 4962-4974, September.
    14. Herie Park & Sungwoo Bae, 2021. "Quantitative Assessment of Energy Supply Security: Korea Case Study," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    15. 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.
    16. David E. H. J. Gernaat & Harmen Sytze Boer & Vassilis Daioglou & Seleshi G. Yalew & Christoph Müller & Detlef P. Vuuren, 2021. "Climate change impacts on renewable energy supply," Nature Climate Change, Nature, vol. 11(2), pages 119-125, February.
    17. Rachidi, Ntebatše R. & Nwaila, Glen T. & Zhang, Steven E. & Bourdeau, Julie E. & Ghorbani, Yousef, 2021. "Assessing cobalt supply sustainability through production forecasting and implications for green energy policies," Resources Policy, Elsevier, vol. 74(C).
    18. Tomasz Rokicki & Aleksandra Perkowska, 2020. "Changes in Energy Supplies in the Countries of the Visegrad Group," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    19. 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.
    20. Ruud van der Linden & Ryvo Octaviano & Huib Blokland & Tom Busking, 2021. "Security of Supply in Gas and Hybrid Energy Networks," Energies, MDPI, vol. 14(4), pages 1-15, February.
    21. Honorata Nyga-Łukaszewska & Kentaka Aruga & Katarzyna Stala-Szlugaj, 2020. "Energy Security of Poland and Coal Supply: Price Analysis," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    22. Wang, Saige & Cao, Tao & Chen, Bin, 2021. "Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China," Applied Energy, Elsevier, vol. 299(C).
    23. Carolin Monsberger & Bernadette Fina & Hans Auer, 2021. "Profitability of Energy Supply Contracting and Energy Sharing Concepts in a Neighborhood Energy Community: Business Cases for Austria," Energies, MDPI, vol. 14(4), pages 1-27, February.
    Full references (including those not matched with items on IDEAS)

    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. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, March.
    2. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    3. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    4. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    5. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    6. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    7. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    8. Ashrafi, Ali & Seow, Hsin-Vonn & Lee, Lai Soon & Lee, Chew Ging, 2013. "The efficiency of the hotel industry in Singapore," Tourism Management, Elsevier, vol. 37(C), pages 31-34.
    9. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    10. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    11. Andreas Dellnitz & Andreas Kleine & Madjid Tavana, 2024. "An integrated data envelopment analysis and regression tree method for new product price estimation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(4), pages 1189-1211, December.
    12. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    13. Suhyeon Han & Shinyoung Park & Sejin An & Wonjun Choi & Mina Lee, 2023. "Research on Analyzing the Efficiency of R&D Projects for Climate Change Response Using DEA–Malmquist," Sustainability, MDPI, vol. 15(10), pages 1-23, May.
    14. Chenini Hajer & Jarboui Anis, 2018. "Analysis of the Impact of Governance on Bank Performance: Case of Commercial Tunisian Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 871-895, September.
    15. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    16. Zanella, Andreia & Camanho, Ana S. & Dias, Teresa G., 2015. "Undesirable outputs and weighting schemes in composite indicators based on data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 245(2), pages 517-530.
    17. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    18. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    19. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    20. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.

    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:gam:jsusta:v:14:y:2022:i:16:p:10149-:d:889343. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.