IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/56088.html
   My bibliography  Save this paper

Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach

Author

Listed:
  • Zheng, Xinye
  • Yu, Yihua
  • Wang, Jing
  • Deng, Huihui

Abstract

Is emission intensity of carbon dioxide (CO2) spatially correlated? What determines the CO2 intensity at a provincial level? More importantly, what climate and economic policy decisions should the China’s central and local governments make to reduce the CO2 intensity and prevent the environmental pollution given that China has been the largest emitter of CO2? We aim to address these questions in this study by applying a dynamic spatial system-GMM (generalized method of moment) technique. Our analysis suggests that provinces are influenced by their neighbours. In addition, CO2 intensities are relatively higher in the western and middle areas, and that the spatial agglomeration effect of the provincial CO2 intensity is obvious. Our analysis also shows that CO2 intensity is nonlinearly related to GDP (gross domestic product), positively associated with secondary-sector share and FDI (foreign direct investment), and negatively associated with population size. Important policy implications are drawn on reducing carbon intensity.

Suggested Citation

  • Zheng, Xinye & Yu, Yihua & Wang, Jing & Deng, Huihui, 2013. "Identifying the determinants and spatial nexus of provincial carbon intensity in China: A dynamic spatial panel approach," MPRA Paper 56088, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:56088
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/56088/1/MPRA_paper_56088.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Valeria Costantini & Chiara Martini, 2010. "A Modified Environmental Kuznets Curve for sustainable development assessment using panel data," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 10(1/2), pages 84-122.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Debarsy, Nicolas & Ertur, Cem, 2010. "Testing for spatial autocorrelation in a fixed effects panel data model," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 453-470, November.
    4. Kukenova, Madina & Monteiro, Jose-Antonio, 2008. "Spatial Dynamic Panel Model and System GMM: A Monte Carlo Investigation," MPRA Paper 11569, University Library of Munich, Germany, revised Nov 2008.
    5. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    6. Stern, David I., 2004. "The Rise and Fall of the Environmental Kuznets Curve," World Development, Elsevier, vol. 32(8), pages 1419-1439, August.
    7. Daniel L. Millimet & John A. List & Thanasis Stengos, 2003. "The Environmental Kuznets Curve: Real Progress or Misspecified Models?," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1038-1047, November.
    8. Elhorst, J. Paul, 2010. "Dynamic panels with endogenous interaction effects when T is small," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 272-282, September.
    9. 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.
    10. Theodore Panayotou, 2000. "Economic Growth and the Environment," CID Working Papers 56A, Center for International Development at Harvard University.
    11. Chiara Martini, 2006. "The Environmental Kuznets Curve," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 3, July.
    12. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    13. Susmita Dasgupta & Benoit Laplante & Hua Wang & David Wheeler, 2002. "Confronting the Environmental Kuznets Curve," Journal of Economic Perspectives, American Economic Association, vol. 16(1), pages 147-168, Winter.
    14. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    15. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    16. Panayotou T., 1993. "Empirical tests and policy analysis of environmental degradation at different stages of economic development," ILO Working Papers 992927783402676, International Labour Organization.
    17. Jacobs, J.P.A.M. & Ligthart, J.E. & Vrijburg, H., 2009. "Dynamic Panel Data Models Featuring Endogenous Interaction and Spatially Correlated Errors," Other publications TiSEM d473cc67-03f6-4389-9a9f-3, Tilburg University, School of Economics and Management.
    18. Roberts, J. Timmons & Grimes, Peter E., 1997. "Carbon intensity and economic development 1962-1991: A brief exploration of the environmental Kuznets curve," World Development, Elsevier, vol. 25(2), pages 191-198, February.
    19. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    20. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    21. Burnett, J. Wesley & Bergstrom, John C., 2010. "U.S. State-Level Carbon Dioxide Emissions: A Spatial-Temporal Econometric Approach of the Environmental Kuznets Curve," Faculty Series 96031, University of Georgia, Department of Agricultural and Applied Economics.
    22. Anselin, Luc, 1991. "Handbook of regional and urban economics : Peter Nijkamp, ed., Volume 1: Regional Economics (North-Holland, Amsterdam, 1986) pp. xxii+702, ISBN 0-444-87969-2," Regional Science and Urban Economics, Elsevier, vol. 21(1), pages 143-156, May.
    23. Richard Schmalensee & Thomas M. Stoker & Ruth A. Judson, 1998. "World Carbon Dioxide Emissions: 1950-2050," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 15-27, February.
    24. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    25. Soytas, Ugur & Sari, Ramazan, 2009. "Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member," Ecological Economics, Elsevier, vol. 68(6), pages 1667-1675, April.
    26. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    27. Friedl, Birgit & Getzner, Michael, 2003. "Determinants of CO2 emissions in a small open economy," Ecological Economics, Elsevier, vol. 45(1), pages 133-148, April.
    28. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Carbon dioxide emissions and economic growth: Panel data evidence from developing countries," Energy Policy, Elsevier, vol. 38(1), pages 661-666, January.
    29. Tisdell, Clem, 2001. "Globalisation and sustainability: environmental Kuznets curve and the WTO," Ecological Economics, Elsevier, vol. 39(2), pages 185-196, November.
    30. Dinda, Soumyananda, 2004. "Environmental Kuznets Curve Hypothesis: A Survey," Ecological Economics, Elsevier, vol. 49(4), pages 431-455, August.
    31. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    32. Moomaw, William R. & Unruh, Gregory C., 1997. "Are environmental Kuznets curves misleading us? The case of CO2 emissions," Environment and Development Economics, Cambridge University Press, vol. 2(4), pages 451-463, November.
    33. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    34. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    35. Fan, Ying & Liu, Lan-Cui & Wu, Gang & Tsai, Hsien-Tang & Wei, Yi-Ming, 2007. "Changes in carbon intensity in China: Empirical findings from 1980-2003," Ecological Economics, Elsevier, vol. 62(3-4), pages 683-691, May.
    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. Cheng, Zhonghua & Li, Lianshui & Liu, Jun, 2018. "Industrial structure, technical progress and carbon intensity in China's provinces," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2935-2946.
    2. Zhimin Zhou & Xinyue Ye & Xiangyu Ge, 2017. "The Impacts of Technical Progress on Sulfur Dioxide Kuznets Curve in China: A Spatial Panel Data Approach," Sustainability, MDPI, vol. 9(4), pages 1-27, April.
    3. Jianhuan Huang & Jiejin Xia, 2016. "Regional Competition, Heterogeneous Factors and Pollution Intensity in China: A Spatial Econometric Analysis," Sustainability, MDPI, vol. 8(2), pages 1-26, February.
    4. Xinye Zheng & Feng Song & Yihua Yu & Shunfeng Song, 2015. "In Search of Fiscal Interactions: A Spatial Analysis of Chinese Provincial Infrastructure Spending," Review of Development Economics, Wiley Blackwell, vol. 19(4), pages 860-876, November.
    5. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    6. Wang, Shaojian & Wang, Jieyu & Zhou, Yuquan, 2018. "Estimating the effects of socioeconomic structure on CO2 emissions in China using an econometric analysis framework," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 18-27.
    7. Hezareh, Reza & Shayanmehr, Samira & Darbandi, Elham & Schieffer, Jack, 2017. "Energy Consumption and Environmental Pollution: Evidence from the Spatial Panel Simultaneous-Equations Model of Developing Countries," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252818, Southern Agricultural Economics Association.
    8. Atwi, Majed & Barberán, Ramón & Mur, Jesús & Angulo, Ana, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.

    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. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    2. Mohanty, Biswajit & Bhanumurthy, N. R. & Dastidar, Ananya Ghosh, 2017. "What explains Regional Imbalances in Infrastructure?: Evidence from Indian States," Working Papers 17/197, National Institute of Public Finance and Policy.
    3. Atwi, Majed & Barberán, Ramón & Mur, Jesús & Angulo, Ana, 2018. "CO2 Kuznets Curve Revisited: From Cross-Sections to Panel Data Models," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 40, pages 169-196.
    4. Wang, Kuan-Min, 2012. "Modelling the nonlinear relationship between CO2 emissions from oil and economic growth," Economic Modelling, Elsevier, vol. 29(5), pages 1537-1547.
    5. Biswajit Mohanty & N.R. Bhanumurthy & Ananya Ghosh Dastidar, 2017. "What explains regional imbalances in public infrastructure expenditure? Evidence from Indian states," Asia-Pacific Development Journal, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), vol. 24(2), pages 113-139, December.
    6. Sinha, Avik & Bhattacharya, Joysankar, 2017. "Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities," MPRA Paper 100009, University Library of Munich, Germany.
    7. Aslanidis, Nektarios, 2009. "Environmental Kuznets Curves for Carbon Emissions: A Critical Survey," Working Papers 2072/15847, Universitat Rovira i Virgili, Department of Economics.
    8. Aslanidis Nektarios, 2009. "Environmental Kuznets curves for carbon emissions: A critical survey," wp.comunite 0051, Department of Communication, University of Teramo.
    9. Nektarios Aslanidis, 2009. "Environmental Kuznets Curves for Carbon Emissions: A Critical Survey," Working Papers 2009.75, Fondazione Eni Enrico Mattei.
    10. Miguel Rodríguez & Yolanda Pena-Boquete, 2013. "Mishandling carbon intensities," Working Papers 1302, Universidade de Vigo, Departamento de Economía Aplicada.
    11. Jaunky, Vishal Chandr, 2011. "The CO2 emissions-income nexus: Evidence from rich countries," Energy Policy, Elsevier, vol. 39(3), pages 1228-1240, March.
    12. Wang, Jing & Rickman, Dan S. & Yu, Yihua, 2022. "Dynamics between global value chain participation, CO2 emissions, and economic growth: Evidence from a panel vector autoregression model," Energy Economics, Elsevier, vol. 109(C).
    13. 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.
    14. Fotis, Panagiotis & Karkalakos, Sotiris & Asteriou, Dimitrios, 2017. "The relationship between energy demand and real GDP growth rate: The role of price asymmetries and spatial externalities within 34 countries across the globe," Energy Economics, Elsevier, vol. 66(C), pages 69-84.
    15. Onafowora, Olugbenga A. & Owoye, Oluwole, 2014. "Bounds testing approach to analysis of the environment Kuznets curve hypothesis," Energy Economics, Elsevier, vol. 44(C), pages 47-62.
    16. AkbostancI, Elif & Türüt-AsIk, Serap & Tunç, G. Ipek, 2009. "The relationship between income and environment in Turkey: Is there an environmental Kuznets curve?," Energy Policy, Elsevier, vol. 37(3), pages 861-867, March.
    17. Jie He, 2007. "Is the Environmental Kuznets Curve hypothesis valid for developing countries? A survey," Cahiers de recherche 07-03, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    18. Miomir Jovanović & Ljiljana Kašćelan & Aleksandra Despotović & Vladimir Kašćelan, 2015. "The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies," Sustainability, MDPI, vol. 7(12), pages 1-21, December.
    19. Ibrahim, Mansor H. & Law, Siong Hook, 2014. "Social capital and CO2 emission—output relations: A panel analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 528-534.
    20. Yu Hao & Shang Gao & Yunxia Guo & Zhiqiang Gai & Haitao Wu, 2021. "Measuring the nexus between economic development and environmental quality based on environmental Kuznets curve: a comparative study between China and Germany for the period of 2000–2017," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16848-16873, November.

    More about this item

    Keywords

    Carbon intensity; Environmental Kuznets curve; Dynamic spatial panel;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

    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:pra:mprapa:56088. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.