IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v91y2024ics003801212300304x.html
   My bibliography  Save this article

Spatial association network of carbon emission performance: Formation mechanism and structural characteristics

Author

Listed:
  • Feng, Xinhui
  • Lin, Xinle
  • Li, Yan
  • Yang, Jiayu
  • Yu, Er
  • Lei, Kaige

Abstract

To enhance regional carbon emission performance (CEP), understanding the spatial association characteristics of CEPs in cities has emerged as a pivotal strategy for the Chinese government to address climate issues. In this study, the formation mechanism of the CEP spatial network is illustrated and a super-efficient SBM model used to measure the CEP of each city in the Yangtze River Delta (YRD) from 2003 to 2018. Subsequently, the structural characteristics and influencing factors of the CEP network were explored using a macro-micro-individual analysis framework. The results showed that the CEP of regional cities exhibited clear network structural characteristics, with a continuous strengthening of spatial association. The motif structure type with reciprocity and agglomeration played a decisive role in the network. The low-carbon development of the YRD mainly depended on the driving effect of the core cities; however, there was a noticeable disparity in individual centrality between the core cities and the others. Geographic proximity and differences in economic agglomeration, open policy, and transportation had a significant positive impact on the CEP network. Conversely, disparities in industrial structure, population agglomeration, and technological innovation were not conducive to network formation. Based on these findings, policies to promote the low-carbon transition in the YRD have been proposed.

Suggested Citation

  • Feng, Xinhui & Lin, Xinle & Li, Yan & Yang, Jiayu & Yu, Er & Lei, Kaige, 2024. "Spatial association network of carbon emission performance: Formation mechanism and structural characteristics," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s003801212300304x
    DOI: 10.1016/j.seps.2023.101792
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S003801212300304X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2023.101792?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. Sun, Huaping & Geng, Yong & Hu, Lingxiang & Shi, Longyu & Xu, Tong, 2018. "Measuring China's new energy vehicle patents: A social network analysis approach," Energy, Elsevier, vol. 153(C), pages 685-693.
    2. Rocchi, Paola & Serrano, Mònica & Roca, Jordi & Arto, Iñaki, 2018. "Border Carbon Adjustments Based on Avoided Emissions: Addressing the Challenge of Its Design," Ecological Economics, Elsevier, vol. 145(C), pages 126-136.
    3. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    4. Wang, Zhenshuang & Xie, Wanchen & Zhang, Chengyi, 2023. "Towards COP26 targets: Characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission," Resources Policy, Elsevier, vol. 81(C).
    5. Qadir, Saeed & Dosmagambet, Yergali, 2020. "CAREC energy corridor: Opportunities, challenges, and IMPACT of regional energy trade integration on carbon emissions and energy access," Energy Policy, Elsevier, vol. 147(C).
    6. Bai, Caiquan & Du, Kerui & Yu, Ying & Feng, Chen, 2019. "Understanding the trend of total factor carbon productivity in the world: Insights from convergence analysis," Energy Economics, Elsevier, vol. 81(C), pages 698-708.
    7. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    8. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    9. Fabian Faller, 2014. "Regional Strategies for Renewable Energies: Development Processes in Greater Manchester," European Planning Studies, Taylor & Francis Journals, vol. 22(5), pages 889-908, May.
    10. Zhao, Min & Sun, Tao, 2022. "Dynamic spatial spillover effect of new energy vehicle industry policies on carbon emission of transportation sector in China," Energy Policy, Elsevier, vol. 165(C).
    11. Li, Xiang & Cheng, Zhonghua, 2022. "Does high-speed rail improve urban carbon emission efficiency in China?," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    12. Dabo Guan & Stephan Klasen & Klaus Hubacek & Kuishuang Feng & Zhu Liu & Kebin He & Yong Geng & Qiang Zhang, 2014. "Determinants of stagnating carbon intensity in China," Nature Climate Change, Nature, vol. 4(11), pages 1017-1023, November.
    13. Jin, Baoling & Han, Ying & Kou, Po, 2023. "Dynamically evaluating the comprehensive efficiency of technological innovation and low-carbon economy in China's industrial sectors," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    14. Sadik-Zada, Elkhan Richard & Gatto, Andrea, 2023. "Civic engagement and energy transition in the Nordic-Baltic Sea Region: Parametric and nonparametric inquiries," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    15. Dai, Shufen & Qian, Yawen & He, Weijun & Wang, Chen & Shi, Tianyu, 2022. "The spatial spillover effect of China's carbon emissions trading policy on industrial carbon intensity: Evidence from a spatial difference-in-difference method," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 139-149.
    16. Nakaishi, Tomoaki & Chapman, Andrew & Kagawa, Shigemi, 2022. "Shedding Light on the energy-related social equity of nations toward a just transition," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    17. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    18. Luo, Guoliang & Liu, Shanshan & Yan, Xiaohui & Guo, Yiwei, 2021. "Institutional constraints to China's low carbon transition: A case study of China's coal-to-gas program," Structural Change and Economic Dynamics, Elsevier, vol. 57(C), pages 121-135.
    19. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    20. Wang, Qunwei & Zhao, Zengyao & Zhou, Peng & Zhou, Dequn, 2013. "Energy efficiency and production technology heterogeneity in China: A meta-frontier DEA approach," Economic Modelling, Elsevier, vol. 35(C), pages 283-289.
    21. Du, Wen-Bo & Zhang, Ming-Yuan & Zhang, Yu & Cao, Xian-Bin & Zhang, Jun, 2018. "Delay causality network in air transport systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 466-476.
    22. Yongjun Li & Wenhui Hou & Weiwei Zhu & Feng Li & Liang Liang, 2021. "Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs," Annals of Operations Research, Springer, vol. 304(1), pages 233-261, September.
    23. Barton, John & Davies, Lloyd & Dooley, Ben & Foxon, Timothy J. & Galloway, Stuart & Hammond, Geoffrey P. & O’Grady, Áine & Robertson, Elizabeth & Thomson, Murray, 2018. "Transition pathways for a UK low-carbon electricity system: Comparing scenarios and technology implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2779-2790.
    24. Li, Ye & Chen, Yiyan, 2021. "Development of an SBM-ML model for the measurement of green total factor productivity: The case of pearl river delta urban agglomeration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    25. Qian, Xianhang & Wang, Ying & Zhang, Guangli, 2018. "The spatial correlation network of capital flows in China: Evidence from China's High-Value Payment System," China Economic Review, Elsevier, vol. 50(C), pages 175-186.
    26. Du, Juan & Liang, Liang & Zhu, Joe, 2010. "A slacks-based measure of super-efficiency in data envelopment analysis: A comment," European Journal of Operational Research, Elsevier, vol. 204(3), pages 694-697, August.
    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. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    2. Xian’En Wang & Shimeng Wang & Xipan Wang & Wenbo Li & Junnian Song & Haiyan Duan & Shuo Wang, 2019. "The Assessment of Carbon Performance under the Region-Sector Perspective based on the Nonparametric Estimation: A Case Study of the Northern Province in China," Sustainability, MDPI, vol. 11(21), pages 1-23, October.
    3. Lin, Boqiang & Sai, Rockson, 2022. "Has mining agglomeration affected energy productivity in Africa?," Energy, Elsevier, vol. 244(PA).
    4. Lin, Boqiang & Sai, Rockson, 2022. "Sustainable transitioning in Africa: A historical evaluation of energy productivity changes and determinants," Energy, Elsevier, vol. 250(C).
    5. Lin, Boqiang & Sai, Rockson, 2022. "Towards low carbon economy: Performance of electricity generation and emission reduction potential in Africa," Energy, Elsevier, vol. 251(C).
    6. Cheng, Zhonghua & Li, Lianshui & Liu, Jun & Zhang, Huiming, 2018. "Total-factor carbon emission efficiency of China's provincial industrial sector and its dynamic evolution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 330-339.
    7. Shao, Jun & Wang, Lianghu, 2023. "Can new-type urbanization improve the green total factor energy efficiency? Evidence from China," Energy, Elsevier, vol. 262(PB).
    8. Monastyrenko, Evgenii, 2017. "Eco-efficiency outcomes of mergers and acquisitions in the European electricity industry," Energy Policy, Elsevier, vol. 107(C), pages 258-277.
    9. Senchang Hu & Shaoyi Li & Xiangxin Meng & Yingzheng Peng & Wenzhe Tang, 2023. "Study on Regional Differences of Carbon Emission Efficiency: Evidence from Chinese Construction Industry," Energies, MDPI, vol. 16(19), pages 1-20, September.
    10. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    11. Lin, Boqiang & Du, Kerui, 2015. "Modeling the dynamics of carbon emission performance in China: A parametric Malmquist index approach," Energy Economics, Elsevier, vol. 49(C), pages 550-557.
    12. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    13. Xu, Mengmeng & Lin, Boqiang, 2022. "Energy efficiency gains from distortion mitigation: A perspective on the metallurgical industry," Resources Policy, Elsevier, vol. 77(C).
    14. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    15. Xu, Chong & Li, Zhiwen & Chen, Boyang & Yang, Qian & An, Jiafu, 2024. "Low-carbon development in China's transportation sector: Multidimensional characteristics and policy implications," Energy, Elsevier, vol. 289(C).
    16. Bian, Yiwen & Hu, Miao & Wang, Yousen & Xu, Hao, 2016. "Energy efficiency analysis of the economic system in China during 1986–2012: A parallel slacks-based measure approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 990-998.
    17. Bingjie Wang & Chong Xu & Ding Li & Yinyin Wu & Yaqi Zhang, 2023. "The Effects of Environmental Tax Revenue on Sustainable Development in China," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    18. F. Wu & P. Zhou & D. Zhou, 2015. "Measuring Energy Congestion in Chinese Industrial Sectors: A Slacks-Based DEA Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 479-494, October.
    19. Fan Zhang & Gui Jin & Junlong Li & Chao Wang & Ning Xu, 2020. "Study on Dynamic Total Factor Carbon Emission Efficiency in China’s Urban Agglomerations," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
    20. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.

    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:soceps:v:91:y:2024:i:c:s003801212300304x. 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.elsevier.com/locate/seps .

    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.