IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7716-d1142066.html
   My bibliography  Save this article

Research on Beijing Manufacturing Green-Oriented Transition Path under “Double Carbon” Goal-Based on the GML-SD Model

Author

Listed:
  • Yuanying Chi

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China
    These authors contributed equally to this work.)

  • Situo Xu

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Xiaolei Yang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China
    These authors contributed equally to this work.)

  • Jialin Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xufeng Zhang

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Yahui Chen

    (College of Economics and Management, Beijing University of Technology, Beijing 100124, China)

Abstract

Accelerating the “double carbon” transformation of the manufacturing industry is the key to achieving the strategic goal of “double carbon” in China, among which the low-carbon development of the Beijing manufacturing industry is the top priority. To achieve high-quality development of the manufacturing industry in Beijing, the main task is to reduce carbon emissions and improve efficiency. Therefore, on the basis of the Global Malmquist–Luenberger (GML) index and the system dynamics (SD) method, this study analyzes the green total-factor energy efficiency trends of 25 manufacturing sub-sectors in Beijing from 2006 to 2020 and incorporates the GML index as a key variable into the construction of the SD model. It then explores the path optimization of Beijing’s manufacturing low-carbon development in the 14th Five-Year Plan period via scenario simulation and offers policy recommendations for the green-oriented transition of Beijing’s manufacturing industry. The study finds that Beijing’s manufacturing industry needs to prioritize energy structure optimization and efficient energy utilization and give full play to the city’s advantages in technological innovation and investment while supporting high-end scientific research and innovation projects to confirm the capital city’s strategic position.

Suggested Citation

  • Yuanying Chi & Situo Xu & Xiaolei Yang & Jialin Li & Xufeng Zhang & Yahui Chen, 2023. "Research on Beijing Manufacturing Green-Oriented Transition Path under “Double Carbon” Goal-Based on the GML-SD Model," Sustainability, MDPI, vol. 15(9), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7716-:d:1142066
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7716/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/9/7716/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiang, Lei & Zhou, Haifeng & He, Shixiong, 2021. "Does energy efficiency increase at the expense of output performance: Evidence from manufacturing firms in Jiangsu province, China," Energy, Elsevier, vol. 220(C).
    2. Grimaud, Andre & Tournemaine, Frederic, 2007. "Why can an environmental policy tax promote growth through the channel of education?," Ecological Economics, Elsevier, vol. 62(1), pages 27-36, April.
    3. Zhang, Pan & Wang, Huan, 2022. "Do provincial energy policies and energy intensity targets help reduce CO2 emissions? Evidence from China," Energy, Elsevier, vol. 245(C).
    4. Oh, Dong-hyun, 2010. "A metafrontier approach for measuring an environmentally sensitive productivity growth index," Energy Economics, Elsevier, vol. 32(1), pages 146-157, January.
    5. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    6. 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.
    7. Hu, Yu & Chi, Yuanying & Zhou, Wenbing & Li, Jialin & Wang, Zhengzao & Yuan, Yongke, 2023. "The interactions between renewable portfolio standards and carbon emission trading in China: An evolutionary game theory perspective," Energy, Elsevier, vol. 271(C).
    8. Xiao Gong & Jianing Mi & Chunyan Wei & Ruitao Yang, 2019. "Measuring Environmental and Economic Performance of Air Pollution Control for Province-Level Areas in China," IJERPH, MDPI, vol. 16(8), pages 1-19, April.
    9. Hu, Jin-Li & Wang, Shih-Chuan, 2006. "Total-factor energy efficiency of regions in China," Energy Policy, Elsevier, vol. 34(17), pages 3206-3217, November.
    10. Shihong Zeng & Gen Li & Shaomin Wu & Zhanfeng Dong, 2022. "The Impact of Green Technology Innovation on Carbon Emissions in the Context of Carbon Neutrality in China: Evidence from Spatial Spillover and Nonlinear Effect Analysis," IJERPH, MDPI, vol. 19(2), pages 1-25, January.
    11. Gen Li & Shihong Zeng & Tengfei Li & Qiao Peng & Muhammad Irfan, 2023. "Analysing the Effect of Energy Intensity on Carbon Emission Reduction in Beijing," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    12. Chu, Hsun & Lai, Ching-chong, 2014. "Abatement R&D, market imperfections, and environmental policy in an endogenous growth model," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 20-37.
    13. 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.
    14. Richard G. Newell & Adam B. Jaffe & Robert N. Stavins, 1999. "The Induced Innovation Hypothesis and Energy-Saving Technological Change," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(3), pages 941-975.
    15. Lixin Kuang & Xiangrong Han & Guanyu Liu, 2023. "The Efficiency of Energy Infrastructure Investment and Its Regional Economic Impact," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    16. 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.
    17. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
    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. Muliaman Hadad & Maximilian Hall & Karligash Kenjegalieva & Wimboh Santoso & Richard Simper, 2011. "Banking efficiency and stock market performance: an analysis of listed Indonesian banks," Review of Quantitative Finance and Accounting, Springer, vol. 37(1), pages 1-20, July.
    2. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    3. Liu, Fuh-Hwa Franklin & Wang, Peng-hsiang, 2008. "DEA Malmquist productivity measure: Taiwanese semiconductor companies," International Journal of Production Economics, Elsevier, vol. 112(1), pages 367-379, March.
    4. Zhang, Bin & Lu, Danting & He, Yan & Chiu, Yung-ho, 2018. "The efficiencies of resource-saving and environment: A case study based on Chinese cities," Energy, Elsevier, vol. 150(C), pages 493-507.
    5. Ahn, Young-Hyo & Min, Hokey, 2014. "Evaluating the multi-period operating efficiency of international airports using data envelopment analysis and the Malmquist productivity index," Journal of Air Transport Management, Elsevier, vol. 39(C), pages 12-22.
    6. Nocera Alves Junior, Paulo & Costa Melo, Isotilia & de Moraes Santos, Rodrigo & da Rocha, Fernando Vinícius & Caixeta-Filho, José Vicente, 2022. "How did COVID-19 affect green-fuel supply chain? - A performance analysis of Brazilian ethanol sector," Research in Transportation Economics, Elsevier, vol. 93(C).
    7. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    8. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    9. Irena Lacka & Lukasz Brzezicki, 2021. "The Efficiency and Productivity Evaluation of National Innovation Systems in Europe," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 471-496.
    10. Dalai Ma & Na Zhao & Fengtai Zhang & Yaping Xiao & Zuman Guo & Chunlan Liu, 2022. "Green Total-Factor Energy Efficiency of Construction Industry and Its Driving Factors: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt in China," IJERPH, MDPI, vol. 19(16), pages 1-19, August.
    11. Mai, Nhat Chi, 2015. "Efficiency of the banking system in Vietnam under financial liberalization," OSF Preprints qsf6d, Center for Open Science.
    12. Jinkai Li & Jingjing Ma & Wei Wei, 2020. "Analysis and Evaluation of the Regional Characteristics of Carbon Emission Efficiency for China," Sustainability, MDPI, vol. 12(8), pages 1-22, April.
    13. Shuai Wang & Cunyi Yang & Zhenghui Li, 2021. "Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency," Land, MDPI, vol. 10(10), pages 1-26, October.
    14. Ying-yu Lu & Yue He & Bo Wang & Shuang-shuang Ye & Yidi Hua & Lei Ding, 2019. "Efficiency Evaluation of Atmospheric Pollutants Emission in Zhejiang Province China: A DEA-Malmquist Based Approach," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    15. Li, Tao & Yang, Wenyue & Zhang, Haoran & Cao, Xiaoshu, 2016. "Evaluating the impact of transport investment on the efficiency of regional integrated transport systems in China," Transport Policy, Elsevier, vol. 45(C), pages 66-76.
    16. Muliaman D. Hadad & Maximilian J. B. Hall & Wimboh Santoso & Karligash Kenjegalieva & Richard Simper, 2009. "Productivity Changes in Indonesian Banking: Application of a New Approach to Estimating Malmquist Indices," Discussion Paper Series 2009_13, Department of Economics, Loughborough University, revised Sep 2009.
    17. Adel Hatami-Marbini & Aliasghar Arabmaldar & John Otu Asu, 2022. "Robust productivity growth and efficiency measurement with undesirable outputs: evidence from the oil industry," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1213-1254, December.
    18. Rafael Benítez & Vicente Coll-Serrano & Vicente J. Bolós, 2021. "deaR-Shiny: An Interactive Web App for Data Envelopment Analysis," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    19. Ming-Chung Chang & Chiang-Ping Chen & Chien-Cheng Lin & Yu-Ming Xu, 2022. "The Overall and Disaggregate China’s Bank Efficiency from Sustainable Business Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    20. Chen, Jiabin & Wen, Shaobo & Liu, Yuchen, 2022. "Research on the efficiency of the mining industry in China from the perspective of time and space," Resources Policy, Elsevier, vol. 75(C).

    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:15:y:2023:i:9:p:7716-:d:1142066. 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.