IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v11y2018i6p1527-d152099.html
   My bibliography  Save this article

China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework

Author

Listed:
  • Hongze Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, North China Electric Power University, Beijing 102206, China)

  • FengYun Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Xinhua Yu

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

Abstract

This paper aims to explore China’s contributions to global green energy and low-carbon (GELC) development based on the Belt and Road (B&R) Initiative. Basic situations of B&R countries reveal an urgent requirement for developing green energy. Carbon intensity is an efficient indicator reflecting the degree of GELC development, which is affected by many factors. By analyzing the spatial distribution of carbon intensities in 29 B&R countries excluding China, the spatial agglomeration and positive radiation effects are discovered, while the negative radiation effects are disappearing, indicating that the studied B&R countries lack an effective driving mechanism to promote GELC development. Besides, the spatial convergence results support significant absolute and conditional convergences in the 29 B&R countries, and a faster convergence speed when considering control variables. Therefore, B&R countries trend to converge to a steady stable carbon intensity to achieve the GELC development. Furthermore, the investment rate and openness play a driving role in pushing the decrease of carbon intensity growth rate, revealing that the B&R Initiative can promote reducing the global carbon emissions and developing global green energy. Moreover, the carbon intensity of the country will be positively affected by those of the surrounding areas, indicating that reducing carbon emission is a global governance issue requiring the participation of all countries. Finally, several policy suggestions are proposed to promote the global GELC development under B&R framework, according to the empirical findings.

Suggested Citation

  • Hongze Li & FengYun Li & Xinhua Yu, 2018. "China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework," Energies, MDPI, vol. 11(6), pages 1-32, June.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:6:p:1527-:d:152099
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/11/6/1527/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/11/6/1527/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. J. Paul Elhorst & Sandy Fréret, 2009. "Evidence Of Political Yardstick Competition In France Using A Two‐Regime Spatial Durbin Model With Fixed Effects," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 931-951, December.
    3. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    4. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    5. Galor, Oded, 1996. "Convergence? Inferences from Theoretical Models," Economic Journal, Royal Economic Society, vol. 106(437), pages 1056-1069, July.
    6. 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.
    7. 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.
    8. Baltagi, Badi H. & Song, Seuck Heun & Koh, Won, 2003. "Testing panel data regression models with spatial error correlation," Journal of Econometrics, Elsevier, vol. 117(1), pages 123-150, November.
    9. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
    10. Markku Lanne & Matti Liski, 2004. "Trends and Breaks in Per-Capita Carbon Dioxide Emissions, 1870-2028," The Energy Journal, , vol. 25(4), pages 41-65, October.
    11. Andrew T. Young & Matthew J. Higgins & Daniel Levy, 2008. "Sigma Convergence versus Beta Convergence: Evidence from U.S. County‐Level Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 1083-1093, August.
    12. Liddle, Brantley, 2010. "Revisiting world energy intensity convergence for regional differences," Applied Energy, Elsevier, vol. 87(10), pages 3218-3225, October.
    13. 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.
    14. Christopoulos, Dimitris K. & Tsionas, Efthymios G., 2004. "Financial development and economic growth: evidence from panel unit root and cointegration tests," Journal of Development Economics, Elsevier, vol. 73(1), pages 55-74, February.
    15. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    16. 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.
    17. Zhang, Yue-Jun & Hao, Jun-Fang & Song, Juan, 2016. "The CO2 emission efficiency, reduction potential and spatial clustering in China’s industry: Evidence from the regional level," Applied Energy, Elsevier, vol. 174(C), pages 213-223.
    18. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    19. J. Paul Elhorst, 2014. "Spatial Panel Data Models," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 37-93, Springer.
    20. Resti, Andrea, 1997. "Evaluating the cost-efficiency of the Italian Banking System: What can be learned from the joint application of parametric and non-parametric techniques," Journal of Banking & Finance, Elsevier, vol. 21(2), pages 221-250, February.
    21. Su, Bin & Ang, B.W., 2015. "Multiplicative decomposition of aggregate carbon intensity change using input–output analysis," Applied Energy, Elsevier, vol. 154(C), pages 13-20.
    22. Ekaterini Panopoulou & Theologos Pantelidis, 2009. "Club Convergence in Carbon Dioxide Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 44(1), pages 47-70, September.
    23. Lindmark, Magnus, 2004. "Patterns of historical CO2 intensity transitions among high and low-income countries," Explorations in Economic History, Elsevier, vol. 41(4), pages 426-447, October.
    24. Pettersson, Fredrik & Maddison, David & Acar, Sevil & Söderholm, Patrik, 2014. "Convergence of Carbon Dioxide Emissions: A Review of the Literature," International Review of Environmental and Resource Economics, now publishers, vol. 7(2), pages 141-178, July.
    25. Greening, Lorna A. & Davis, William B. & Schipper, Lee, 1998. "Decomposition of aggregate carbon intensity for the manufacturing sector: comparison of declining trends from 10 OECD countries for the period 1971-1991," Energy Economics, Elsevier, vol. 20(1), pages 43-65, February.
    26. He, Kebin & Huo, Hong & Zhang, Qiang & He, Dongquan & An, Feng & Wang, Michael & Walsh, Michael P., 2005. "Oil consumption and CO2 emissions in China's road transport: current status, future trends, and policy implications," Energy Policy, Elsevier, vol. 33(12), pages 1499-1507, August.
    27. Jesús Mur & Ana Angulo, 2006. "The Spatial Durbin Model and the Common Factor Tests," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(2), pages 207-226.
    28. Huang, Yiping, 2016. "Understanding China's Belt & Road Initiative: Motivation, framework and assessment," China Economic Review, Elsevier, vol. 40(C), pages 314-321.
    29. Jinke, Li & Hualing, Song & Dianming, Geng, 2008. "Causality relationship between coal consumption and GDP: Difference of major OECD and non-OECD countries," Applied Energy, Elsevier, vol. 85(6), pages 421-429, June.
    30. Feng, Taiwen & Sun, Linyan & Zhang, Ying, 2009. "The relationship between energy consumption structure, economic structure and energy intensity in China," Energy Policy, Elsevier, vol. 37(12), pages 5475-5483, December.
    31. Yu, Huayi, 2012. "The influential factors of China's regional energy intensity and its spatial linkages: 1988–2007," Energy Policy, Elsevier, vol. 45(C), pages 583-593.
    32. Mahony, Tadhg O', 2013. "Decomposition of Ireland's carbon emissions from 1990 to 2010: An extended Kaya identity," Energy Policy, Elsevier, vol. 59(C), pages 573-581.
    33. Ali Acaravci & Sinan Erdogan, 2016. "The Convergence Behavior of CO2 Emissions in Seven Regions under Multiple Structural Breaks," International Journal of Energy Economics and Policy, Econjournals, vol. 6(3), pages 575-580.
    34. Goh, Tian & Ang, B.W. & Su, Bin & Wang, H., 2018. "Drivers of stagnating global carbon intensity of electricity and the way forward," Energy Policy, Elsevier, vol. 113(C), pages 149-156.
    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. Natalia A. Chernysheva & Victoria V. Perskaya & Alexander M. Petrov & Anna A. Bakulina, 2019. "Green Energy for Belt and Road Initiative: Economic Aspects Today and in the Future," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 178-185.
    2. Bin Liu & Chan Lu & Chun Yi, 2023. "Research on Green and Low-Carbon Rural Development in China: A Scientometric Analysis Using CiteSpace (1979–2021)," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    3. Yan Wu & Cong Hu & Xunpeng Shi, 2021. "Heterogeneous Effects of the Belt and Road Initiative on Energy Efficiency in Participating Countries," Energies, MDPI, vol. 14(18), pages 1-21, September.
    4. Yunqi Zhao & Jing Xiang & Jiaming Xu & Jinying Li & Ning Zhang, 2019. "Study on the Comprehensive Benefit Evaluation of Transnational Power Networking Projects Based on Multi-Project Stakeholder Perspectives," Energies, MDPI, vol. 12(2), pages 1-21, January.
    5. Yan Wu & Chunlai Chen & Cong Hu, 2021. "Does the Belt and Road Initiative Increase the Carbon Emission Intensity of Participating Countries?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(3), pages 1-25, May.
    6. Min Lu & Xing Wang & Yuquan Cang, 2018. "Carbon Productivity: Findings from Industry Case Studies in Beijing," Energies, MDPI, vol. 11(10), pages 1-19, October.
    7. Saeed Ur Rahman & Zia Ur Rahman & Maryam Ibrahim, 2022. "Validity of Environmental Kuznets Curve in the Malaysian Economy: A Fresh Evidence," Journal of Economic Impact, Science Impact Publishers, vol. 4(3), pages 278-288.
    8. Bowen Tang & Yuanzhang Sun & Nan Zhou & Bo Shen, 2019. "Sustainable Development of Power Retailers and Industrial Parks in China’s Belt and Road Initiative," Sustainability, MDPI, vol. 11(19), pages 1-19, September.

    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. Luc Anselin, 2010. "Thirty years of spatial econometrics," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 3-25, March.
    2. Demidova, Olga, 2021. "Methods of spatial econometrics and evaluation of government programs effectiveness," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 64, pages 107-134.
    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. Liu, Yiming & Hao, Yu & Gao, Yixuan, 2017. "The environmental consequences of domestic and foreign investment: Evidence from China," Energy Policy, Elsevier, vol. 108(C), pages 271-280.
    5. Marco R. Barassi & Nicola Spagnolo & Yuqian Zhao, 2018. "Fractional Integration Versus Structural Change: Testing the Convergence of $$\hbox {CO}_{2}$$ CO 2 Emissions," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(4), pages 923-968, December.
    6. 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.
    7. Wang, Shaojian & Fang, Chuanglin & Guan, Xingliang & Pang, Bo & Ma, Haitao, 2014. "Urbanisation, energy consumption, and carbon dioxide emissions in China: A panel data analysis of China’s provinces," Applied Energy, Elsevier, vol. 136(C), pages 738-749.
    8. Roger Bivand & Giovanni Millo & Gianfranco Piras, 2021. "A Review of Software for Spatial Econometrics in R," Mathematics, MDPI, vol. 9(11), pages 1-40, June.
    9. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    10. Yihua Yu & Jing Wang & Xi Tian, 2016. "Identifying the Flypaper Effect in the Presence of Spatial Dependence: Evidence from Education in China's Counties," Growth and Change, Wiley Blackwell, vol. 47(1), pages 93-110, March.
    11. repec:dau:papers:123456789/6801 is not listed on IDEAS
    12. Redoano, Michela, 2014. "Tax competition among European countries. Does the EU matter?," European Journal of Political Economy, Elsevier, vol. 34(C), pages 353-371.
    13. 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.
    14. Huang, Junbing & Du, Dan & Tao, Qizhi, 2017. "An analysis of technological factors and energy intensity in China," Energy Policy, Elsevier, vol. 109(C), pages 1-9.
    15. 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.
    16. Karanki, Fecri & Lim, Siew Hoon & Choi, Bong Jin, 2020. "The determinants of aeronautical charges of U.S. airports: A spatial analysis," Journal of Air Transport Management, Elsevier, vol. 86(C).
    17. LAWSON, Laté A. & MARTINO, Roberto & NGUYEN-VAN, Phu, 2020. "Environmental convergence and environmental Kuznets curve: A unified empirical framework," Ecological Modelling, Elsevier, vol. 437(C).
    18. 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).
    19. 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).
    20. 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).
    21. Guang, Fengtao & He, Yongxiu & Wen, Le & Sharp, Basil, 2019. "Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis," Energy, Elsevier, vol. 180(C), pages 989-1000.

    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:jeners:v:11:y:2018:i:6:p:1527-:d:152099. 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.