IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i2p539-d199390.html
   My bibliography  Save this article

Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China

Author

Listed:
  • Caiquan Bai

    (The Center for Economic Research, Shandong University, Jinan 250100, China)

  • Yuehua Mao

    (School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China)

  • Yuan Gong

    (School of Economics and Management, Nanchang University, Nanchang 330031, China)

  • Chen Feng

    (School of Public Economics and Administration, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

China is the largest carbon dioxide emitter in the world, and reducing China’s transportation carbon emissions is of great significance for the world. Using the Chinese provincial data from 2005–2015, this article analyzes the convergence characteristics of per capita transportation carbon emissions in China. It employs the log t regression test method and the club clustering algorithm developed by Phillips and Sul (2007) to separate the provinces and municipalities in China into three convergence clubs with different transportation carbon emission levels and one divergent group. Among them, the divergent group consisted of Beijing and Liaoning; the high carbon emission club consisted of Shanghai and Inner Mongolia; the low carbon emission club consisted of Jiangxi, Henan, Shandong, Hebei, and Sichuan; the medium carbon emission club consisted of the remaining 21 provinces and municipalities. On this basis, this article adopts the Ordered Logit model to explore factors influencing the formation of the convergence clubs. The regression results showed that the per capita transportation carbon emissions in the provinces with a high energy intensity of the transportation sector, a high urbanization level, or a high fixed assets investment intensity of the transportation sector tended to converge into the high carbon emission club.

Suggested Citation

  • Caiquan Bai & Yuehua Mao & Yuan Gong & Chen Feng, 2019. "Club Convergence and Factors of Per Capita Transportation Carbon Emissions in China," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:539-:d:199390
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/2/539/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/2/539/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Apergis, Nicholas & Christou, Christina & Miller, Stephen M., 2014. "Country and industry convergence of equity markets: International evidence from club convergence and clustering," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 36-58.
    2. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    3. Burnett, J. Wesley, 2016. "Club convergence and clustering of U.S. energy-related CO2 emissions," Resource and Energy Economics, Elsevier, vol. 46(C), pages 62-84.
    4. Joachim Schnurbus & Harry Haupt & Verena Meier, 2017. "Economic Transition and Growth: A Replication," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 1039-1042, August.
    5. Wang, Juan & Zhang, Kezhong, 2014. "Convergence of carbon dioxide emissions in different sectors in China," Energy, Elsevier, vol. 65(C), pages 605-611.
    6. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    7. Kerui Du, 2017. "Econometric convergence test and club clustering using Stata," Stata Journal, StataCorp LP, vol. 17(4), pages 882-900, December.
    8. Yao, Shujie & Zhang, Zongyi, 2001. "On Regional Inequality and Diverging Clubs: A Case Study of Contemporary China," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 466-484, September.
    9. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    10. Li, Hongqi & Lu, Yue & Zhang, Jun & Wang, Tianyi, 2013. "Trends in road freight transportation carbon dioxide emissions and policies in China," Energy Policy, Elsevier, vol. 57(C), pages 99-106.
    11. Tian, Xu & Zhang, Xiaoheng & Zhou, Yingheng & Yu, Xiaohua, 2016. "Regional income inequality in China revisited: A perspective from club convergence," Economic Modelling, Elsevier, vol. 56(C), pages 50-58.
    12. Ghosh, Madhusudan & Ghoshray, Atanu & Malki, Issam, 2013. "Regional divergence and club convergence in India," Economic Modelling, Elsevier, vol. 30(C), pages 733-742.
    13. Wang, Yiming & Zhang, Pei & Huang, Dake & Cai, Changda, 2014. "Convergence behavior of carbon dioxide emissions in China," Economic Modelling, Elsevier, vol. 43(C), pages 75-80.
    14. Fan Xiao & Zhi-Hua Hu & Ke-Xin Wang & Pei-Hua Fu, 2015. "Spatial Distribution of Energy Consumption and Carbon Emission of Regional Logistics," Sustainability, MDPI, vol. 7(7), pages 1-20, July.
    15. Apergis, Nicholas & Payne, James E., 2017. "Per capita carbon dioxide emissions across U.S. states by sector and fossil fuel source: Evidence from club convergence tests," Energy Economics, Elsevier, vol. 63(C), pages 365-372.
    16. Herrerias, M.J., 2013. "The environmental convergence hypothesis: Carbon dioxide emissions according to the source of energy," Energy Policy, Elsevier, vol. 61(C), pages 1140-1150.
    17. Warwick J. McKibbin & Alison Stegman, 2005. "Convergence And Per Capita Carbon Emissions," CAMA Working Papers 2005-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    18. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    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. Chiqun Hu & Xiaoyu Ma, 2023. "Regional Differences, Dynamic Evolution and Convergence of Carbon Emissions from Rural Residents’ Living Consumption: Evidence from China," Energies, MDPI, vol. 16(16), pages 1-30, August.
    2. Mateusz Tomal & Agata Gumieniak, 2020. "Agricultural Land Price Convergence: Evidence from Polish Provinces," Agriculture, MDPI, vol. 10(5), pages 1-20, May.
    3. Zhaofu Yang & Yongna Yuan & Yu Tan, 2022. "Club Convergence of Economies’ Per Capita Carbon Emissions: Evidence from Countries That Proposed Carbon Neutrality," IJERPH, MDPI, vol. 19(14), pages 1-16, July.
    4. Santiago, Renato & Fuinhas, José Alberto & Marques, António Cardoso, 2020. "An analysis of the energy intensity of Latin American and Caribbean countries: Empirical evidence on the role of public and private capital stock," Energy, Elsevier, vol. 211(C).
    5. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
    6. Kolawole Ogundari, 2023. "Club Convergence in Income Inequality in Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 319-337, June.
    7. Sayel Basel & R. Prabhakara Rao & K. U. Gopakumar, 2021. "Analysis of club convergence for economies: identification and testing using development indices," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 885-908, October.
    8. Tomal Mateusz, 2019. "House Price Convergence on the Primary and Secondary Markets: Evidence from Polish Provincial Capitals," Real Estate Management and Valuation, Sciendo, vol. 27(4), pages 62-73, December.
    9. Bai, Caiquan & Feng, Chen & Du, Kerui & Wang, Yuansheng & Gong, Yuan, 2020. "Understanding spatial-temporal evolution of renewable energy technology innovation in China: Evidence from convergence analysis," Energy Policy, Elsevier, vol. 143(C).

    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. Cialani, Catia & Mortazavi, Reza, 2021. "Sectoral analysis of club convergence in EU countries’ CO2 emissions," Energy, Elsevier, vol. 235(C).
    2. Rodríguez-Benavides, Domingo & Andrés-Rosales, Roldán & Álvarez-García, José & Bekun, Festus Víctor, 2024. "Convergence of clubs between per capita carbon dioxide emissions from fossil fuels and cement production," Energy Policy, Elsevier, vol. 186(C).
    3. Liu, Chang & Hong, Tao & Li, Huaifeng & Wang, Lili, 2018. "From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China," Energy Policy, Elsevier, vol. 121(C), pages 300-313.
    4. Apergis, Nicholas & Payne, James E., 2017. "Per capita carbon dioxide emissions across U.S. states by sector and fossil fuel source: Evidence from club convergence tests," Energy Economics, Elsevier, vol. 63(C), pages 365-372.
    5. Bai, Caiquan & Yan, Hong & Yin, Shanggang & Feng, Chen & Wei, Qian, 2021. "Exploring the development trend of internet finance in China: Perspective from club convergence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    6. Sayel Basel & R. Prabhakara Rao & K. U. Gopakumar, 2021. "Analysis of club convergence for economies: identification and testing using development indices," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 885-908, October.
    7. Qiang Du & Min Wu & Yadan Xu & Xinran Lu & Libiao Bai & Ming Yu, 2018. "Club convergence and spatial distribution dynamics of carbon intensity in China’s construction industry," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 519-536, November.
    8. Belloc, Ignacio & Molina, José Alberto, 2023. "Are greenhouse gas emissions converging in Latin America? Implications for environmental policies," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 337-356.
    9. Bhattacharya, Mita & Inekwe, John N. & Sadorsky, Perry, 2020. "Consumption-based and territory-based carbon emissions intensity: Determinants and forecasting using club convergence across countries," Energy Economics, Elsevier, vol. 86(C).
    10. Firat Emir & Mehmet Balcilar & Muhammad Shahbaz, 2018. "Inequality in Carbon Intensity in EU-28: Analysis Based on Club Convergence," Working Papers 15-38, Eastern Mediterranean University, Department of Economics.
    11. Jian-Xin Wu & Ling-Yun He, 2017. "The Distribution Dynamics of Carbon Dioxide Emissions Intensity across Chinese Provinces: A Weighted Approach," Sustainability, MDPI, vol. 9(1), pages 1-19, January.
    12. 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.
    13. Mar'ia Jos'e Presno & Manuel Landajo & Paula Fern'andez Gonz'alez, 2024. "GHG emissions in the EU-28. A multilevel club convergence study of the Emission Trading System and Effort Sharing Decision mechanisms," Papers 2402.01784, arXiv.org, revised Feb 2024.
    14. Cai, Yifei & Chang, Tsangyao & Inglesi-Lotz, Roula, 2018. "Asymmetric persistence in convergence for carbon dioxide emissions based on quantile unit root test with Fourier function," Energy, Elsevier, vol. 161(C), pages 470-481.
    15. Mar'ia Jos'e Presno & Manuel Landajo, 2024. "EU-28's progress towards the 2020 renewable energy share. A club convergence analysis," Papers 2402.00788, arXiv.org.
    16. Octavio Fernández-Amador & Doris A. Oberdabernig & Patrick Tomberger, 2019. "Testing for Convergence in Carbon Dioxide Emissions Using a Bayesian Robust Structural Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1265-1286, August.
    17. Cuihong Ye & Yiguo Chen & Roula Inglesi-Lotz & Tsangyao Chang, 2020. "CO2 emissions converge in China and G7 countries? Further evidence from Fourier quantile unit root test," Energy & Environment, , vol. 31(2), pages 348-363, March.
    18. González, Germán Héctor & García-González, Juan David & Gómez-Medina, José Santiago & Corbella, Virginia Inés, 2023. "Regionalization of Latin America based on asymmetries in the absorptive capacity of countries," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    19. Makarov, Igor & Alataş, Sedat, 2024. "Production- and consumption-based emissions in carbon exporters and importers: A large panel data analysis for the EKC hypothesis," Applied Energy, Elsevier, vol. 363(C).
    20. Zhang, Hongwu & Shi, Xunpeng & Cheong, Tsun Se & Wang, Keying, 2020. "Convergence of carbon emissions at the household level in China: A distribution dynamics approach," Energy Economics, Elsevier, vol. 92(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:11:y:2019:i:2:p:539-:d:199390. 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.