IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i9p5173-d801656.html
   My bibliography  Save this article

Long-Term and Short-Term Effects of Carbon Emissions on Regional Healthy Development in Shanxi Province, China

Author

Listed:
  • Zhongwu Zhang

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China)

  • Guokui Wang

    (Institute of Tourism, Xinyang Normal University, Xinyang 464000, China)

  • Xiaojia Guo

    (College of Geographic Science, Shanxi Normal University, Taiyuan 030031, China)

Abstract

As an important energy base in China, the economic development of Shanxi Province highly depended on coal resources. However, huge coal consumption produced a large amount of carbon dioxide and aggravated ecological problems. Thus, this study uses energy consumption, GDP, and the urbanization rate from 1981 to 2020 via the Vector Auto Regressive (VAR) and impulse response function to analyze the interaction among carbon emissions, urbanization, and economic growth in Shanxi Province. The results show that relations among carbon emissions, economic growth, and urbanization are complicated, and all three have a long-term stable equilibrium relationship. The lag effect on each other reacts violently in the short term, and gradually becomes gentle over time. In the short term, carbon emissions are positively correlated with economic growth and have the same trend of change, but in the long run, carbon emissions will have a small hindering effect on economic growth. Carbon emissions reduce urbanization levels in the short term, and then gradually climb, tending to stabilize as time goes by. With respect to receiving economic growth impaction, carbon emission increases at the initial stage of economic development, but the growth rate becomes slow as time goes by. With respect to receiving urbanization impaction, carbon emission first declines and then rises slowly with relatively small and slow growth in general. The relations among carbon emissions, economic growth, and urbanization are complicated. Therefore, local government needs to be very cautious in regional governance, especially in economic and urban planning and design, take various factors into consideration, and adhere to low-carbon, green, and circular development so as to achieve the carbon peak and carbon neutrality as scheduled and make the urban economy develop sustainably.

Suggested Citation

  • Zhongwu Zhang & Guokui Wang & Xiaojia Guo, 2022. "Long-Term and Short-Term Effects of Carbon Emissions on Regional Healthy Development in Shanxi Province, China," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5173-:d:801656
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/9/5173/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/9/5173/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Grossman, G.M & Krueger, A.B., 1991. "Environmental Impacts of a North American Free Trade Agreement," Papers 158, Princeton, Woodrow Wilson School - Public and International Affairs.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Jamiu Adetola Odugbesan & Gbenga Daniel Akinsola & Wing-Keung Wong & Husam Rjoub, 2021. "Sustainability of Energy-Induced Growth Nexus in Brazil: Do Carbon Emissions and Urbanization Matter?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    4. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    5. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    6. Friday Osemenshan Anetor, 2019. "Foreign Direct Investment Inflows And Real Sector: A Vector Autoregressive (Var) Approach For The Nigerian Economy," Journal of Developing Areas, Tennessee State University, College of Business, vol. 53(3), pages 27-42, Summer.
    7. Kamaljit Singh & Simmi Vashishtha, 2020. "A Re-Examination of the Relationship between Electricity Consumption and Economic Growth in India," Energy Economics Letters, Asian Economic and Social Society, vol. 7(1), pages 36-45.
    8. Cole, M.A. & Rayner, A.J. & Bates, J.M., 1997. "The environmental Kuznets curve: an empirical analysis," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 401-416, November.
    9. Selden Thomas M. & Song Daqing, 1994. "Environmental Quality and Development: Is There a Kuznets Curve for Air Pollution Emissions?," Journal of Environmental Economics and Management, Elsevier, vol. 27(2), pages 147-162, September.
    10. Richard B. Howarth & Lee Schipper & Bo Andersson, 1993. "The Structure and Intensity of Energy Use: Trends in Five OECD Nations," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 27-46.
    11. York, Richard & Rosa, Eugene A. & Dietz, Thomas, 2003. "STIRPAT, IPAT and ImPACT: analytic tools for unpacking the driving forces of environmental impacts," Ecological Economics, Elsevier, vol. 46(3), pages 351-365, October.
    12. Mohamed Mabrouki, 2017. "The Sense Of Causality Between Growth And Economic Development: An Essay On Var Modeling In The Case Of Tunisia," Journal of Smart Economic Growth, , vol. 2(1), pages 81-93, March.
    13. Zhao, Lili & Wen, Fenghua & Wang, Xiong, 2020. "Interaction among China carbon emission trading markets: Nonlinear Granger causality and time-varying effect," Energy Economics, Elsevier, vol. 91(C).
    14. 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.
    15. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    16. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuloğlu, Ayhan, 2017. "The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity," Energy, Elsevier, vol. 133(C), pages 242-256.
    17. Arnulf Grubler & Charlie Wilson & Nuno Bento & Benigna Boza-Kiss & Volker Krey & David L. McCollum & Narasimha D. Rao & Keywan Riahi & Joeri Rogelj & Simon Stercke & Jonathan Cullen & Stefan Frank & O, 2018. "A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies," Nature Energy, Nature, vol. 3(6), pages 515-527, June.
    18. Mahua Barari & Srikanta Kundu, 2019. "The Role of the Federal Reserve in the U.S. Housing Crisis: A VAR Analysis with Endogenous Structural Breaks," JRFM, MDPI, vol. 12(3), pages 1-20, July.
    19. Yu, Jinglei & Shao, Chaofeng & Xue, Chenyang & Hu, Huaqing, 2020. "China's aircraft-related CO2 emissions: Decomposition analysis, decoupling status, and future trends," Energy Policy, Elsevier, vol. 138(C).
    20. Joeri Rogelj & Alexander Popp & Katherine V. Calvin & Gunnar Luderer & Johannes Emmerling & David Gernaat & Shinichiro Fujimori & Jessica Strefler & Tomoko Hasegawa & Giacomo Marangoni & Volker Krey &, 2018. "Scenarios towards limiting global mean temperature increase below 1.5 °C," Nature Climate Change, Nature, vol. 8(4), pages 325-332, April.
    21. Martinez-Zarzoso, Inmaculada & Bengochea-Morancho, Aurelia, 2004. "Pooled mean group estimation of an environmental Kuznets curve for CO2," Economics Letters, Elsevier, vol. 82(1), pages 121-126, January.
    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. Le Hoang Phong & Dang Thi Bach Van & Ho Hoang Gia Bao, 2018. "The Role of Globalization on CO2 Emission in Vietnam Incorporating Industrialization, Urbanization, GDP per Capita and Energy Use," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 275-283.
    2. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.
    3. Piaggio, Matías & Padilla, Emilio, 2012. "CO2 emissions and economic activity: Heterogeneity across countries and non-stationary series," Energy Policy, Elsevier, vol. 46(C), pages 370-381.
    4. Linna Chen & Shiyi Chen, 2015. "The Estimation of Environmental Kuznets Curve in China: Nonparametric Panel Approach," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 405-420, October.
    5. Charfeddine, Lanouar & Mrabet, Zouhair, 2017. "The impact of economic development and social-political factors on ecological footprint: A panel data analysis for 15 MENA countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 138-154.
    6. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    7. Nicole Grunewald & Inmaculada Martínez-Zarzoso, 2009. "Driving Factors of Carbon Dioxide Emissions and the Impact from Kyoto Protocol," Ibero America Institute for Econ. Research (IAI) Discussion Papers 190, Ibero-America Institute for Economic Research.
    8. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Seun Damola Oladipupo & Ephraim Bonah Agyekum & Arunkumar Jayakumar & Nallapaneni Manoj Kumar, 2021. "Dominance of Fossil Fuels in Japan’s National Energy Mix and Implications for Environmental Sustainability," IJERPH, MDPI, vol. 18(14), pages 1-20, July.
    9. Stern, David I. & Common, Michael S., 2001. "Is There an Environmental Kuznets Curve for Sulfur?," Journal of Environmental Economics and Management, Elsevier, vol. 41(2), pages 162-178, March.
    10. Matias Piaggio & Emilio Padilla & Carolina Roman, 2015. "The long-run relationshiop between C02 emissions and economic activity in a small open economy: Uruguay 1882-2010," Working Papers wpdea1506, Department of Applied Economics at Universitat Autonoma of Barcelona.
    11. Hakimi, Abdelaziz & Hamdi, Helmi, 2016. "Trade liberalization, FDI inflows, environmental quality and economic growth: A comparative analysis between Tunisia and Morocco," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1445-1456.
    12. He, Jie & Richard, Patrick, 2010. "Environmental Kuznets curve for CO2 in Canada," Ecological Economics, Elsevier, vol. 69(5), pages 1083-1093, March.
    13. Songhee Han & Hannah Jun, 2023. "Growth, emissions, and climate finance nexus for sustainable development: Revisiting the environmental Kuznets curve," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(1), pages 510-527, February.
    14. Muhammad, Anees & Ishfaq, Ahmed, 2011. "Industrial development, agricultural growth, urbanization and environmental Kuznets curve in Pakistan," MPRA Paper 33469, University Library of Munich, Germany.
    15. Muhammad Shahbaz & Avik Sinha, 2019. "Environmental Kuznets curve for CO2emissions: a literature survey," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(1), pages 106-168, January.
    16. Shafiei, Sahar & Salim, Ruhul A., 2014. "Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis," Energy Policy, Elsevier, vol. 66(C), pages 547-556.
    17. Auci, Sabrina & Castelli, Annalisa, 2011. "Pollution and economic growth: a maximum likelihood estimation of environmental Kuznets curve," MPRA Paper 53441, University Library of Munich, Germany.
    18. Germani, Anna Rita & Morone, Piergiuseppe & Testa, Giuseppina, 2014. "Environmental justice and air pollution: A case study on Italian provinces," Ecological Economics, Elsevier, vol. 106(C), pages 69-82.
    19. Muhammad Bilal Khan & Hummera Saleem & Malik Shahzad Shabbir & Xie Huobao, 2022. "The effects of globalization, energy consumption and economic growth on carbon dioxide emissions in South Asian countries," Energy & Environment, , vol. 33(1), pages 107-134, February.
    20. Mazzanti, Massimiliano & Musolesi, Antonio, 2009. "Carbon Kuznets Curves: Long-run Structural Dynamics and Policy Events," Sustainable Development Papers 55286, Fondazione Eni Enrico Mattei (FEEM).

    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:14:y:2022:i:9:p:5173-:d:801656. 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.