IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i5p1444-d212241.html
   My bibliography  Save this article

Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration

Author

Listed:
  • Xintao Li

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

  • Dong Feng

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

  • Jian Li

    (College of Management and Economics, Tianjin University, Tianjin 300072, China
    Research Center for Circular Economy and Enterprise Sustainable Development, Tianjin University of Technology, Tianjin 300384, China)

  • Zaisheng Zhang

    (College of Management and Economics, Tianjin University, Tianjin 300072, China)

Abstract

Based on the carbon emission data in the Beijing–Tianjin–Hebei urban agglomeration from 2007 to 2016, this paper used the method of social network analysis (SNA) to investigate the spatial correlation network structure of the carbon emission. Then, by constructing the synergetic abatement effect model, we calculated the synergetic abatement effect in the cities and we empirically examined the influence of the spatial network characteristics on the synergetic abatement effect. The results show that the network density first increased from 0.205 in 2007 to 0.263 in 2014 and then decreased to 0.205 in 2016; the network hierarchy fluctuated around 0.710, and the minimum value of the network efficiency was 0.561, which indicates that the network hierarchy structure is stern and the network has good stability. Beijing and Tianjin are in the center of the carbon emission spatial network and play important “intermediary” and “bridge” roles that can have better control over other carbon emission spatial spillover relations between the cities, thus the spatial network of carbon emissions presents a typical “center–periphery” structure. The synergetic abatement effect increased from −2.449 in 2007 to 0.800 in 2011 and then decreased to −1.653 in 2016; the average synergetic effect was −0.550. This means that the overall synergetic level has a lot of room to grow. The carbon emission spatial network has a significant influence on the synergetic abatement effect, while increasing the network density and the network hierarchy. Decreasing the network efficiency will significantly enhance the synergetic abatement effect.

Suggested Citation

  • Xintao Li & Dong Feng & Jian Li & Zaisheng Zhang, 2019. "Research on the Spatial Network Characteristics and Synergetic Abatement Effect of the Carbon Emissions in Beijing–Tianjin–Hebei Urban Agglomeration," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1444-:d:212241
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/5/1444/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/5/1444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Qing Yang & Xingzi Wan & Huimin Ma, 2015. "Assessing Green Development Efficiency of Municipalities and Provinces in China Integrating Models of Super-Efficiency DEA and Malmquist Index," Sustainability, MDPI, vol. 7(4), pages 1-19, April.
    2. Tan, Xianchun & Dong, Lele & Chen, Dexue & Gu, Baihe & Zeng, Yuan, 2016. "China’s regional CO2 emissions reduction potential: A study of Chongqing city," Applied Energy, Elsevier, vol. 162(C), pages 1345-1354.
    3. Grunewald, Nicole & Jakob, Michael & Mouratiadou, Ioanna, 2014. "Decomposing inequality in CO2 emissions: The role of primary energy carriers and economic sectors," Ecological Economics, Elsevier, vol. 100(C), pages 183-194.
    4. Balado-Naves, Roberto & Baños-Pino, José Francisco & Mayor, Matías, 2018. "Do countries influence neighbouring pollution? A spatial analysis of the EKC for CO2 emissions," Energy Policy, Elsevier, vol. 123(C), pages 266-279.
    5. You, Wanhai & Lv, Zhike, 2018. "Spillover effects of economic globalization on CO2 emissions: A spatial panel approach," Energy Economics, Elsevier, vol. 73(C), pages 248-257.
    6. Jeroen Warner & Neda Zawahri, 2012. "Hegemony and asymmetry: multiple-chessboard games on transboundary rivers," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 12(3), pages 215-229, September.
    7. Marbuah, George & Amuakwa-Mensah, Franklin, 2017. "Spatial analysis of emissions in Sweden," Energy Economics, Elsevier, vol. 68(C), pages 383-394.
    8. Yamaji, Kenji & Matsuhashi, Ryuji & Nagata, Yutaka & Kaya, Yoichi, 1993. "A study on economic measures for CO2 reduction in Japan," Energy Policy, Elsevier, vol. 21(2), pages 123-132, February.
    9. Schröter, Barbara & Hauck, Jennifer & Hackenberg, Isabel & Matzdorf, Bettina, 2018. "Bringing transparency into the process: Social network analysis as a tool to support the participatory design and implementation process of Payments for Ecosystem Services," Ecosystem Services, Elsevier, vol. 34(PB), pages 206-217.
    10. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    11. Cerqueira, Pedro André & Martins, Rodrigo, 2009. "Measuring the determinants of business cycle synchronization using a panel approach," Economics Letters, Elsevier, vol. 102(2), pages 106-108, February.
    12. Zhang, Lulu & Xiong, Lichun & Cheng, Baodong & Yu, Chang, 2018. "How does foreign trade influence China’s carbon productivity? Based on panel spatial lag model analysis," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 171-179.
    13. Ordás Criado, C. & Grether, J.-M., 2011. "Convergence in per capita CO2 emissions: A robust distributional approach," Resource and Energy Economics, Elsevier, vol. 33(3), pages 637-665, September.
    14. Rahel Aichele & Gabriel Felbermayr, 2015. "Kyoto and Carbon Leakage: An Empirical Analysis of the Carbon Content of Bilateral Trade," The Review of Economics and Statistics, MIT Press, vol. 97(1), pages 104-115, March.
    15. Zhang, Chuanguo & Lin, Yan, 2012. "Panel estimation for urbanization, energy consumption and CO2 emissions: A regional analysis in China," Energy Policy, Elsevier, vol. 49(C), pages 488-498.
    16. Feng Wang & Mengnan Gao & Juan Liu & Wenna Fan, 2018. "The Spatial Network Structure of China’s Regional Carbon Emissions and Its Network Effect," Energies, MDPI, vol. 11(10), pages 1-14, October.
    17. Peter Bohm & Bjorn Larsen, 1994. "Fairness in a tradeable-permit treaty for carbon emissions reductions in Europe and the former Soviet Union," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 4(3), pages 219-239, June.
    18. Neves, Sónia Almeida & Marques, António Cardoso & Fuinhas, José Alberto, 2017. "Is energy consumption in the transport sector hampering both economic growth and the reduction of CO2 emissions? A disaggregated energy consumption analysis," Transport Policy, Elsevier, vol. 59(C), pages 64-70.
    19. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    20. Jinchao Li & Yuwei Xiang & Huanyu Jia & Lin Chen, 2018. "Analysis of Total Factor Energy Efficiency and Its Influencing Factors on Key Energy-Intensive Industries in the Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    21. Kiyohiro Ikeda & Kazuo Murota & Yuki Takayama, 2017. "Stable Economic Agglomeration Patterns In Two Dimensions: Beyond The Scope Of Central Place Theory," Journal of Regional Science, Wiley Blackwell, vol. 57(1), pages 132-172, January.
    22. Janssen, Marco & Rotmans, Jan, 1995. "Allocation of fossil CO2 emission rights quantifying cultural perspectives," Ecological Economics, Elsevier, vol. 13(1), pages 65-79, April.
    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. Haidong Gao & Tiantian Li & Jing Yu & Yangrui Sun & Shijie Xie, 2023. "Spatial Correlation Network Structure of Carbon Emission Efficiency in China’s Construction Industry and Its Formation Mechanism," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    2. Lebunu Hewage Udara Willhelm Abeydeera & Jayantha Wadu Mesthrige & Tharushi Imalka Samarasinghalage, 2019. "Global Research on Carbon Emissions: A Scientometric Review," Sustainability, MDPI, vol. 11(14), pages 1-25, July.
    3. Dan Su & Xiaoqian Fang & Qing Wu & Yu Cao, 2022. "Exploring the Spatiotemporal Integration Evolution of the Urban Agglomeration through City Networks," Land, MDPI, vol. 11(4), pages 1-18, April.
    4. Guancen Wu & Jing Li & Dan Chong & Xing Niu, 2021. "Analysis on the Housing Price Relationship Network of Large and Medium-Sized Cities in China Based on Gravity Model," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    5. Siyao Li & Qiaosheng Wu & You Zheng & Qi Sun, 2021. "Study on the Spatial Association and Influencing Factors of Carbon Emissions from the Chinese Construction Industry," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    6. Wenhui Zhao & Ruican Zou & Guanghui Yuan & Hui Wang & Zhongfu Tan, 2019. "Long-Term Cointegration Relationship between China’s Wind Power Development and Carbon Emissions," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    7. Nan Zhang & Yan Zhuang, 2023. "Political Hierarchy of Opening-Up Policy and China’s Carbon Reduction: Empirical Research Based on Spatial Regression Discontinuity," Sustainability, MDPI, vol. 15(7), pages 1-24, March.
    8. Yu, Ying & Dai, Yuqi & Xu, Linyu & Zheng, Hanzhong & Wu, Wenhao & Chen, Lei, 2023. "A multi-level characteristic analysis of urban agglomeration energy-related carbon emission: A case study of the Pearl River Delta," Energy, Elsevier, vol. 263(PB).
    9. Francesco Pomponi & Bernardino D’Amico, 2020. "Low Energy Architecture and Low Carbon Cities: Exploring Links, Scales, and Environmental Impacts," Sustainability, MDPI, vol. 12(21), pages 1-6, November.
    10. Jiekun Song & Huisheng Xiao & Zhicheng Liu, 2024. "Analysis of the Driving Mechanism of Urban Carbon Emission Correlation Network in Shandong Province Based on TERGM," Sustainability, MDPI, vol. 16(10), pages 1-24, May.

    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. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    2. Rios, Vicente & Gianmoena, Lisa, 2018. "Convergence in CO2 emissions: A spatial economic analysis with cross-country interactions," Energy Economics, Elsevier, vol. 75(C), pages 222-238.
    3. Llorca, Manuel & Rodriguez-Alvarez, Ana, 2024. "Economic, environmental, and energy equity convergence: Evidence of a multi-speed Europe?," Ecological Economics, Elsevier, vol. 219(C).
    4. Shahnazi, Rouhollah & Dehghan Shabani, Zahra, 2021. "The effects of renewable energy, spatial spillover of CO2 emissions and economic freedom on CO2 emissions in the EU," Renewable Energy, Elsevier, vol. 169(C), pages 293-307.
    5. Goel, Rajeev K. & Saunoris, James W., 2020. "Spatial spillovers of pollution onto the underground sector," Energy Policy, Elsevier, vol. 144(C).
    6. Song, Yang & Liu, Dayu & Wang, Qiaoru, 2021. "Identifying characteristic changes in club convergence of China's urban pollution emission: A spatial-temporal feature analysis," Energy Economics, Elsevier, vol. 98(C).
    7. Bo Sui & Chun-Ping Chang & Yin Chu, 2021. "Political Stability: an Impetus for Spatial Environmental Spillovers," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 387-415, June.
    8. Weng, Chunfei & Huang, Jingong & Greenwood-Nimmo, Matthew, 2023. "The effect of clean energy investment on CO2 emissions: Insights from a Spatial Durbin Model," Energy Economics, Elsevier, vol. 126(C).
    9. Chenxu Liu & Ruien Tang & Yaqi Guo & Yuhan Sun & Xinyi Liu, 2022. "Research on the Structure of Carbon Emission Efficiency and Influencing Factors in the Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    10. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    11. Edy Yusuf Agung Gunanto & Tri Wahyu & Jaka Aminata & Banatul Hayati, 2021. "Convergence CO2 Emission in ASEAN Countries: Augmented Green Solow Model Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 572-578.
    12. Xiaohang Ren & Cheng Cheng & Zhen Wang & Cheng Yan, 2021. "Spillover and dynamic effects of energy transition and economic growth on carbon dioxide emissions for the European Union: A dynamic spatial panel model," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 228-242, January.
    13. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    14. Ren, Xiaohang & Xiao, Ya & Xiao, Shitong & Jin, Yi & Taghizadeh-Hesary, Farhad, 2024. "The effect of climate vulnerability on global carbon emissions: Evidence from a spatial convergence perspective," Resources Policy, Elsevier, vol. 90(C).
    15. Ghazala Aziz & Zouheir Mighri, 2022. "Carbon Dioxide Emissions and Forestry in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 14(19), pages 1-40, October.
    16. Kangyin Dong & Xiucheng Dong & Qingzhe Jiang, 2020. "How renewable energy consumption lower global CO2 emissions? Evidence from countries with different income levels," The World Economy, Wiley Blackwell, vol. 43(6), pages 1665-1698, June.
    17. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    18. Tiwari, Aviral & Nasir, Muhammad Ali & shahbaz, Muhammad & Raheem, Ibrahim, 2020. "Convergence and club convergence of CO2 emissions at state levels: A nonlinear analysis of the USA," MPRA Paper 105355, University Library of Munich, Germany.
    19. Abbasi, Kashif Raza & Hussain, Khadim & Redulescu, Magdalena & Ozturk, Ilhan, 2021. "Does natural resources depletion and economic growth achieve the carbon neutrality target of the UK? A way forward towards sustainable development," Resources Policy, Elsevier, vol. 74(C).
    20. Yabo Zhao & Ruiyang Chen & Tong Sun & Ying Yang & Shifa Ma & Dixiang Xie & Xiwen Zhang & Yunnan Cai, 2022. "Urbanization Influences CO 2 Emissions in the Pearl River Delta: A Perspective of the “Space of Flows”," Land, MDPI, vol. 11(8), pages 1-21, August.

    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:11:y:2019:i:5:p:1444-:d:212241. 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.