IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i13p5975-d1690352.html
   My bibliography  Save this article

Spatiotemporal Evolution and Driving Factors of Coupling Coordination Between Carbon Emission Efficiency and Carbon Balance in the Yellow River Basin

Author

Listed:
  • Silu Wang

    (School of Economics, Guizhou University of Finance and Economics, Guiyang 550025, China)

  • Shunyi Li

    (School of Economics, Guizhou University of Finance and Economics, Guiyang 550025, China)

Abstract

This study investigates the coupling coordination between carbon emission efficiency (CEE) and carbon balance (CB) in the Yellow River Basin (YRB), aiming to support high-quality regional development and the realization of China’s “dual carbon” goals. Based on panel data from 74 cities in the YRB between 2006 and 2022, the Super-SBM model, Ecological Support Coefficient (ESC), and coupling coordination degree (CCD) model are applied to evaluate the synergy between CEE and CB. Spatiotemporal patterns and driving mechanisms are analyzed using kernel density estimation, Moran’s I index, the Dagum Gini coefficient, Markov chains, and the XGBoost algorithm. The results reveal a generally low and declining level of CCD, with the upstream and midstream regions performing better than the downstream. Spatial clustering is evident, characterized by significant positive autocorrelation and high-high or low-low clusters. Although regional disparities in CCD have narrowed slightly over time, interregional differences remain the primary source of variation. The likelihood of leapfrog development in CCD is limited, and high-CCD regions exhibit weak spillover effects. Forest coverage is identified as the most critical driver, significantly promoting CCD. Conversely, population density, urbanization, energy structure, and energy intensity negatively affect coordination. Economic development demonstrates a U-shaped relationship with CCD. Moreover, nonlinear interactions among forest coverage, population density, energy structure, and industrial enterprise scale further intensify the complexity of CCD. These findings provide important implications for enhancing regional carbon governance and achieving balanced ecological-economic development in the YRB.

Suggested Citation

  • Silu Wang & Shunyi Li, 2025. "Spatiotemporal Evolution and Driving Factors of Coupling Coordination Between Carbon Emission Efficiency and Carbon Balance in the Yellow River Basin," Sustainability, MDPI, vol. 17(13), pages 1-33, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5975-:d:1690352
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/13/5975/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/13/5975/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liu, Guanchun & Zhang, Gaorong & Song, Malin & Fu, Shun, 2025. "Carbon emissions trading and corporate energy efficiency: Evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
    2. van der Ploeg, Frederick, 2025. "Why green subsidies are preferred to carbon taxes: Climate policy with heightened carbon tax salience," Journal of Environmental Economics and Management, Elsevier, vol. 130(C).
    3. Shu, Tianheng & Liao, Xia & Yang, Shuo & Yu, Taofang, 2024. "Towards sustainability: Evaluating energy efficiency with a super-efficiency SBM-DEA model across 168 economies," Applied Energy, Elsevier, vol. 376(PA).
    4. Cui, Yanfang & Li, Li & Lei, Yalin & Wu, Sanmang, 2024. "The performance and influencing factors of high-quality development of resource-based cities in the Yellow River basin under reducing pollution and carbon emissions constraints," Resources Policy, Elsevier, vol. 88(C).
    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. Huang, Jing & Han, Wenjing & Zhang, Zhengfeng & Ning, Shanshan & Zhang, Xiaoling, 2024. "The decoupling relationship between land use efficiency and carbon emissions in China: An analysis using the Socio-Ecological Systems (SES) framework," Land Use Policy, Elsevier, vol. 138(C).
    7. Shen, Weiteng & Yu, Xuan & Sun, Tong & Pan, Tiejun & Zhong, Shunbin, 2025. "The effects of internet infrastructure on carbon neutrality," International Review of Economics & Finance, Elsevier, vol. 99(C).
    8. Zhu, Yuke & Lan, Mudan, 2023. "Digital economy and carbon rebound effect: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 126(C).
    9. Ma, Jiakai & Hao, Zixuan & Shen, Yaqi & Zhen, Zhilei, 2025. "Spatial-temporal evolution of carbon storage and its driving factors in the Shanxi section of the Yellow River Basin, China," Ecological Modelling, Elsevier, vol. 502(C).
    10. Shu An & Yifang Duan & Dengshuai Chen & Xiaoman Wu, 2024. "Spatiotemporal Evolution and Drivers of Carbon Storage from a Sustainable Development Perspective: A Case Study of the Region along the Middle and Lower Yellow River, China," Sustainability, MDPI, vol. 16(15), pages 1-19, July.
    11. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
    12. Meng, Fanyi, 2019. "Carbon emissions efficiency and abatement cost under inter-region differentiated mitigation strategies: A modified DDF model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 532(C).
    13. Xing, Peixue & Wang, Yanan & Ye, Tao & Sun, Ying & Li, Qiao & Li, Xiaoyan & Li, Meng & Chen, Wei, 2024. "Carbon emission efficiency of 284 cities in China based on machine learning approach: Driving factors and regional heterogeneity," Energy Economics, Elsevier, vol. 129(C).
    14. Jiao Wang & Zhenliang Liao & Hui Sun, 2023. "Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    15. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    16. Zhenwei Wang & Yi Zeng & Xiaochun Wang & Tianci Gu & Wanxu Chen, 2024. "Impact of Urban Expansion on Carbon Emissions in the Urban Agglomerations of Yellow River Basin, China," Land, MDPI, vol. 13(5), pages 1-20, May.
    17. 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.
    18. Fan Yang & Jianghong Zhen & Xiaolong Chen, 2025. "The Spatial Association Network Structure and Influencing Factors of Pollution Reduction and Carbon Emission Reduction Synergy Efficiency in the Yellow River Basin," Sustainability, MDPI, vol. 17(5), pages 1-22, February.
    19. Cheng, Hao & Wu, Boyu & Jiang, Xiaokun, 2024. "Study on the spatial network structure of energy carbon emission efficiency and its driving factors in Chinese cities," Applied Energy, Elsevier, vol. 371(C).
    20. Xiulan Chen & Zihan Niu & Yue Xu, 2025. "Impact of Income Inequality on Carbon Emission Efficiency: Evidence from China," Sustainability, MDPI, vol. 17(9), pages 1-17, April.
    21. Xinpeng Gao & Sufeng Li, 2025. "A Dynamic Evolution and Spatiotemporal Convergence Analysis of the Coordinated Development Between New Quality Productive Forces and China’s Carbon Total Factor Productivity," Sustainability, MDPI, vol. 17(7), pages 1-28, April.
    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. Qiuyang Xu & Wenxin Liu & Lezhi Wu, 2024. "Measurement and Spatio-Temporal Characteristics of High-Quality Development Efficiency in Metropolitan Areas: A Case Study of the Changchun Metropolitan Area," Sustainability, MDPI, vol. 16(11), pages 1-25, May.
    2. Wen Guo & Tao Sun & Hongjun Dai, 2017. "Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    3. Hanlong Gu & Qi Liu & Ming Cheng & Chongyang Huan & Bingyi Wang & Jiaqian Wu, 2025. "Can the Coordinated Development of Land Urbanization and Population Urbanization Promote Carbon Emission Efficiency? A Multi-Scale Heterogeneity Analysis in China," Land, MDPI, vol. 14(7), pages 1-26, June.
    4. 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.
    5. Chen, Yufeng & Ni, Liangfu & Liu, Kelong, 2021. "Does China's new energy vehicle industry innovate efficiently? A three-stage dynamic network slacks-based measure approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    6. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    7. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    8. Le Sun & Congmou Zhu & Shaofeng Yuan & Lixia Yang & Shan He & Wuyan Li, 2022. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    9. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    10. Can Zhang & Jixia Li, 2024. "The Impact of Official Promotion Incentives on Urban Ecological Welfare Performance and Its Spatial Effect," Sustainability, MDPI, vol. 16(7), pages 1-29, April.
    11. 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.
    12. Gómez-Calvet, Roberto & Conesa, David & Gómez-Calvet, Ana Rosa & Tortosa-Ausina, Emili, 2014. "Energy efficiency in the European Union: What can be learned from the joint application of directional distance functions and slacks-based measures?," Applied Energy, Elsevier, vol. 132(C), pages 137-154.
    13. Jo, Ah-Hyun & Chang, Young-Tae, 2023. "The effect of airport efficiency on air traffic, using DEA and multilateral resistance terms gravity models," Journal of Air Transport Management, Elsevier, vol. 108(C).
    14. Hongli Liu & Xiaoyu Yan & Jinhua Cheng & Jun Zhang & Yan Bu, 2021. "Driving Factors for the Spatiotemporal Heterogeneity in Technical Efficiency of China’s New Energy Industry," Energies, MDPI, vol. 14(14), pages 1-21, July.
    15. Yang, Fei & Liu, Kang & Wu, Lei & Ren, Yi & Liang, Tian, 2025. "Urban geometry and energy efficiency: Evidence from 282 cities in China," Energy, Elsevier, vol. 319(C).
    16. Yi-Chung Hsu, 2014. "Efficiency in government health spending: a super slacks-based model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 111-126, January.
    17. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    18. Chenchen Su & Jinchuan Shen & Fei Wang, 2024. "Can income growth and environmental improvements go hand in hand? An empirical study of Chinese agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(7), pages 321-333.
    19. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    20. Ningyi Liu & Yongyu Wang, 2022. "Urban Agglomeration Ecological Welfare Performance and Spatial Convergence Research in the Yellow River Basin," Land, MDPI, vol. 11(11), pages 1-18, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:17:y:2025:i:13:p:5975-:d:1690352. 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.