IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i8p2809-d162576.html
   My bibliography  Save this article

Evolving Temporal–Spatial Trends, Spatial Association, and Influencing Factors of Carbon Emissions in Mainland China: Empirical Analysis Based on Provincial Panel Data from 2006 to 2015

Author

Listed:
  • Weidong Chen

    (College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China)

  • Ruoyu Yang

    (College of Management and Economics, Tianjin University, No. 92 Weijin Road, Nankai District, Tianjin 300072, China)

Abstract

Based on provincial panel data from 2005 to 2016, this paper analyzes evolving temporal–spatial trends, spatial correlation and influencing factors of carbon emissions in China. The results show that there is a great heterogeneity in the evolving temporal–spatial trends of carbon emissions among provinces and regions in China, with the heterogeneity in eastern provinces most obvious. At the same time, there exists significant spatial correlation and agglomeration of carbon emissions in 30 provinces. It is found that the distribution characteristics of carbon emissions are affected by various economic and social factors based on the extended STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model. Population pressure, affluence, energy intensity, industrial structure, urbanization level and investment in fixed assets can significantly promote the increase of carbon emissions. The technological level and government environmental supervision have significant inhibitory effects on carbon emissions, but foreign direct investment (FDI) has no significant impact. Therefore, it is necessary to strengthen environmental supervision and upgrade technology level to promote carbon emission reduction.

Suggested Citation

  • Weidong Chen & Ruoyu Yang, 2018. "Evolving Temporal–Spatial Trends, Spatial Association, and Influencing Factors of Carbon Emissions in Mainland China: Empirical Analysis Based on Provincial Panel Data from 2006 to 2015," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2809-:d:162576
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/8/2809/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/8/2809/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ding, Yang & Li, Feng, 2017. "Examining the effects of urbanization and industrialization on carbon dioxide emission: Evidence from China's provincial regions," Energy, Elsevier, vol. 125(C), pages 533-542.
    2. Pao, Hsiao-Tien & Yu, Hsiao-Cheng & Yang, Yeou-Herng, 2011. "Modeling the CO2 emissions, energy use, and economic growth in Russia," Energy, Elsevier, vol. 36(8), pages 5094-5100.
    3. Lin Boqiang & Kui Liu, 2017. "Using LMDI to Analyze the Decoupling of Carbon Dioxide Emissions from China’s Heavy Industry," Sustainability, MDPI, vol. 9(7), pages 1-16, July.
    4. Wolfgang Keller, 2002. "Geographic Localization of International Technology Diffusion," American Economic Review, American Economic Association, vol. 92(1), pages 120-142, March.
    5. Shahbaz, Muhammad & Loganathan, Nanthakumar & Muzaffar, Ahmed Taneem & Ahmed, Khalid & Ali Jabran, Muhammad, 2016. "How urbanization affects CO2 emissions in Malaysia? The application of STIRPAT model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 83-93.
    6. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    7. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    8. Choi, Ki-Hong & Ang, B. W., 2001. "A time-series analysis of energy-related carbon emissions in Korea," Energy Policy, Elsevier, vol. 29(13), pages 1155-1161, November.
    9. Bo Li & Xuejing Liu & Zhenhong Li, 2015. "Using the STIRPAT model to explore the factors driving regional CO 2 emissions: a case of Tianjin, China," 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. 76(3), pages 1667-1685, April.
    10. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    11. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    12. Acaravci, Ali & Ozturk, Ilhan, 2010. "On the relationship between energy consumption, CO2 emissions and economic growth in Europe," Energy, Elsevier, vol. 35(12), pages 5412-5420.
    13. Hamit-Haggar, Mahamat, 2012. "Greenhouse gas emissions, energy consumption and economic growth: A panel cointegration analysis from Canadian industrial sector perspective," Energy Economics, Elsevier, vol. 34(1), pages 358-364.
    14. Hammond, G.P. & Norman, J.B., 2012. "Decomposition analysis of energy-related carbon emissions from UK manufacturing," Energy, Elsevier, vol. 41(1), pages 220-227.
    15. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Modeling and forecasting the CO2 emissions, energy consumption, and economic growth in Brazil," Energy, Elsevier, vol. 36(5), pages 2450-2458.
    16. Jayanthakumaran, Kankesu & Verma, Reetu & Liu, Ying, 2012. "CO2 emissions, energy consumption, trade and income: A comparative analysis of China and India," Energy Policy, Elsevier, vol. 42(C), pages 450-460.
    17. Weibo Zhao & Dongxiao Niu, 2017. "Prediction of CO 2 Emission in China’s Power Generation Industry with Gauss Optimized Cuckoo Search Algorithm and Wavelet Neural Network Based on STIRPAT model with Ridge Regression," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    18. Yin, Jianhua & Zheng, Mingzheng & Chen, Jian, 2015. "The effects of environmental regulation and technical progress on CO2 Kuznets curve: An evidence from China," Energy Policy, Elsevier, vol. 77(C), pages 97-108.
    19. Wang, Shaojian & Fang, Chuanglin & Wang, Yang, 2016. "Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 505-515.
    20. Quadrelli, Roberta & Peterson, Sierra, 2007. "The energy-climate challenge: Recent trends in CO2 emissions from fuel combustion," Energy Policy, Elsevier, vol. 35(11), pages 5938-5952, November.
    21. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
    22. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    23. Pao, Hsiao-Tien & Tsai, Chung-Ming, 2011. "Multivariate Granger causality between CO2 emissions, energy consumption, FDI (foreign direct investment) and GDP (gross domestic product): Evidence from a panel of BRIC (Brazil, Russian Federation, I," Energy, Elsevier, vol. 36(1), pages 685-693.
    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. Eduardo Polloni-Silva & Diogo Ferraz & Flávia de Castro Camioto & Daisy Aparecida do Nascimento Rebelatto & Herick Fernando Moralles, 2021. "Environmental Kuznets Curve and the Pollution-Halo/Haven Hypotheses: An Investigation in Brazilian Municipalities," Sustainability, MDPI, vol. 13(8), pages 1-19, April.
    2. Yingbin Zhou & Siqi Lv & Jianlin Wang & Junbo Tong & Zhong Fang, 2022. "The Impact of Green Taxes on the Carbon Emission Efficiency of China’s Construction Industry," Sustainability, MDPI, vol. 14(9), pages 1-18, April.
    3. Ruoyu Yang & Weidong Chen, 2019. "Spatial Correlation, Influencing Factors and Environmental Supervision on Mechanism Construction of Atmospheric Pollution: An Empirical Study on SO 2 Emissions in China," Sustainability, MDPI, vol. 11(6), pages 1-13, March.
    4. Xiaohong Jiang & Jianxiao Ma & Huizhe Zhu & Xiucheng Guo & Zhaoguo Huang, 2020. "Evaluating the Carbon Emissions Efficiency of the Logistics Industry Based on a Super-SBM Model and the Malmquist Index from a Strong Transportation Strategy Perspective in China," IJERPH, MDPI, vol. 17(22), pages 1-19, November.
    5. Xuhui Ding & Zhongyao Cai & Qianqian Xiao & Suhui Gao, 2019. "A Study on The Driving Factors and Spatial Spillover of Carbon Emission Intensity in The Yangtze River Economic Belt under Double Control Action," IJERPH, MDPI, vol. 16(22), pages 1-15, November.
    6. Li, Jinying & Li, Sisi, 2020. "Energy investment, economic growth and carbon emissions in China—Empirical analysis based on spatial Durbin model," Energy Policy, Elsevier, vol. 140(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. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    2. Al-Mulali, Usama & Ozturk, Ilhan, 2015. "The effect of energy consumption, urbanization, trade openness, industrial output, and the political stability on the environmental degradation in the MENA (Middle East and North African) region," Energy, Elsevier, vol. 84(C), pages 382-389.
    3. Al-Mulali, Usama & Saboori, Behnaz & Ozturk, Ilhan, 2015. "Investigating the environmental Kuznets curve hypothesis in Vietnam," Energy Policy, Elsevier, vol. 76(C), pages 123-131.
    4. Al-Mulali, Usama & Ozturk, Ilhan, 2016. "The investigation of environmental Kuznets curve hypothesis in the advanced economies: The role of energy prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1622-1631.
    5. 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.
    6. Sofien, Tiba & Omri, Anis, 2016. "Literature survey on the relationships between energy variables, environment and economic growth," MPRA Paper 82555, University Library of Munich, Germany, revised 14 Sep 2016.
    7. Abdul Rahim Ridzuan & Aliashim Albani & Abdul Rais Abdul Latiff & Mohamad Idham Md Razak & Mohd Haziq Murshidi, 2020. "The Impact of Energy Consumption based on Fossil Fuel and Hydroelectricity Generation towards Pollution in Malaysia, Indonesia and Thailand," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 215-227.
    8. Dogan, Eyup & Seker, Fahri, 2016. "The influence of real output, renewable and non-renewable energy, trade and financial development on carbon emissions in the top renewable energy countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1074-1085.
    9. Adebola Solarin, Sakiru & Al-Mulali, Usama & Ozturk, Ilhan, 2017. "Validating the environmental Kuznets curve hypothesis in India and China: The role of hydroelectricity consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1578-1587.
    10. Chen, Ping-Yu & Chen, Sheng-Tung & Hsu, Chia-Sheng & Chen, Chi-Chung, 2016. "Modeling the global relationships among economic growth, energy consumption and CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 420-431.
    11. Adewuyi, Adeolu O. & Adeniyi, Oluwatosin, 2015. "Trade and consumption of energy varieties: Empirical analysis of selected West Africa economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 354-366.
    12. Shahbaz, Muhammad & Sinha, Avik, 2019. "Environmental Kuznets Curve for CO2 emission: A survey of empirical literature," MPRA Paper 100257, University Library of Munich, Germany, revised 2019.
    13. Sofien Tiba & Mohamed Frikha, 2020. "EKC and Macroeconomics Aspects of Well-being: a Critical Vision for a Sustainable Future," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(3), pages 1171-1197, September.
    14. Seker, Fahri & Ertugrul, Hasan Murat & Cetin, Murat, 2015. "The impact of foreign direct investment on environmental quality: A bounds testing and causality analysis for Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 347-356.
    15. Al-mulali, Usama, 2012. "Factors affecting CO2 emission in the Middle East: A panel data analysis," Energy, Elsevier, vol. 44(1), pages 564-569.
    16. Shaojian Wang & Chuanglin Fang & Guangdong Li, 2015. "Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-23, September.
    17. Salahuddin, Mohammad & Gow, Jeff, 2014. "Economic growth, energy consumption and CO2 emissions in Gulf Cooperation Council countries," Energy, Elsevier, vol. 73(C), pages 44-58.
    18. Ahad, Muhammad & Khan, Wali, 2016. "Does Globalization Impede Environmental Quality in Bangladesh? The Role of Real Economic Activities and Energy Use," MPRA Paper 76278, University Library of Munich, Germany, revised Jul 2016.
    19. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    20. Khadiga Mohamed El-Aasar & Shaimaa A. Hanafy, 2018. "Investigating the Environmental Kuznets Curve Hypothesis in Egypt: The Role of Renewable Energy and Trade in Mitigating GHGs," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 177-184.

    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:10:y:2018:i:8:p:2809-:d:162576. 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.