IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v254y2022ipbs0360544222011689.html
   My bibliography  Save this article

The trend and factors affecting renewable energy distribution and disparity across countries

Author

Listed:
  • Li, Zheng
  • Luan, Ranran
  • Lin, Boqiang

Abstract

Renewable energy plays a crucial role in clean energy transformation and emission mitigation. It's, therefore, necessary to understand the trend and factors affecting renewable energy distribution and disparity across countries. This paper investigates the development pattern of renewable energy worldwide. It depicted a distributional picture of the world renewable energy using a club convergence algorithm, to form 5 clubs with 78 economies based on the renewable energy generation during 2000–2018. China, the United Kingdom, and the United States are the top economies in renewable energy generation. And most of the economies are in the clubs with less renewable energy generation. With the Dagum Gini coefficient and decomposition method, it is found that the disparities of renewable energy between clubs are increasing, while the disparity within each club is decreasing. Affluence, demand for energy, technology level, industry and population structure are the factors determining the club according to the result of the ordered probit model and the fixed-effects panel regression model. Target recommendations are proposed for international policy formulations on renewable energy based on the results.

Suggested Citation

  • Li, Zheng & Luan, Ranran & Lin, Boqiang, 2022. "The trend and factors affecting renewable energy distribution and disparity across countries," Energy, Elsevier, vol. 254(PB).
    • Handle: RePEc:eee:energy:v:254:y:2022:i:pb:s0360544222011689
    DOI: 10.1016/j.energy.2022.124265
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222011689
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.124265?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Bersalli, Germán & Menanteau, Philippe & El-Methni, Jonathan, 2020. "Renewable energy policy effectiveness: A panel data analysis across Europe and Latin America," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    3. Przychodzen, Wojciech & Przychodzen, Justyna, 2020. "Determinants of renewable energy production in transition economies: A panel data approach," Energy, Elsevier, vol. 191(C).
    4. Fadly, Dalia & Fontes, Francisco, 2019. "Geographical proximity and renewable energy diffusion: An empirical approach," Energy Policy, Elsevier, vol. 129(C), pages 422-435.
    5. Lin, Boqiang & Jia, Zhijie, 2018. "The energy, environmental and economic impacts of carbon tax rate and taxation industry: A CGE based study in China," Energy, Elsevier, vol. 159(C), pages 558-568.
    6. Zhu, Junpeng & Lin, Boqiang, 2020. "Convergence analysis of city-level energy intensity in China," Energy Policy, Elsevier, vol. 139(C).
    7. Falcone, Pasquale Marcello & Lopolito, Antonio & Sica, Edgardo, 2019. "Instrument mix for energy transition: A method for policy formulation," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    8. Maamoun, Nada, 2019. "The Kyoto protocol: Empirical evidence of a hidden success," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 227-256.
    9. Mrabet, Zouhair & Alsamara, Mouyad & Saleh, Ali Salman & Anwar, Sajid, 2019. "Urbanization and non-renewable energy demand: A comparison of developed and emerging countries," Energy, Elsevier, vol. 170(C), pages 832-839.
    10. Peter C. B. Phillips & Donggyu Sul, 2007. "Transition Modeling and Econometric Convergence Tests," Econometrica, Econometric Society, vol. 75(6), pages 1771-1855, November.
    11. Talaat, M. & Farahat, M.A. & Elkholy, M.H., 2019. "Renewable power integration: Experimental and simulation study to investigate the ability of integrating wave, solar and wind energies," Energy, Elsevier, vol. 170(C), pages 668-682.
    12. Li, Tao & Li, Ang & Guo, Xiaopeng, 2020. "The sustainable development-oriented development and utilization of renewable energy industry——A comprehensive analysis of MCDM methods," Energy, Elsevier, vol. 212(C).
    13. Herrerias, M.J. & Aller, Carlos & Ordóñez, Javier, 2017. "Residential energy consumption: A convergence analysis across Chinese regions," Energy Economics, Elsevier, vol. 62(C), pages 371-381.
    14. Chen, Kaihua & Ren, Zhipeng & Mu, Shijun & Sun, Tara Qian & Mu, Rongping, 2020. "Integrating the Delphi survey into scenario planning for China's renewable energy development strategy towards 2030," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    15. 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).
    16. Liu, Shuo & Wilkes, Andreas & Li, Yu’e & Gao, Qingzhu & Wan, Yunfan & Ma, Xin & Qin, Xiaobo, 2016. "Contribution of different sectors to developed countries’ fulfillment of GHG emission reduction targets under the first commitment period of the Kyoto Protocol," Environmental Science & Policy, Elsevier, vol. 61(C), pages 143-153.
    17. Baye, Richmond Silvanus & Ahenkan, Albert & Darkwah, Samuel, 2021. "Renewable energy output in sub Saharan Africa," Renewable Energy, Elsevier, vol. 174(C), pages 705-714.
    18. Clausen, Laura Tolnov & Rudolph, David, 2020. "Renewable energy for sustainable rural development: Synergies and mismatches," Energy Policy, Elsevier, vol. 138(C).
    19. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    20. Hayes, Liam & Stocks, Matthew & Blakers, Andrew, 2021. "Accurate long-term power generation model for offshore wind farms in Europe using ERA5 reanalysis," Energy, Elsevier, vol. 229(C).
    21. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    22. Assi, Ala Fathi & Zhakanova Isiksal, Aliya & Tursoy, Turgut, 2021. "Renewable energy consumption, financial development, environmental pollution, and innovations in the ASEAN + 3 group: Evidence from (P-ARDL) model," Renewable Energy, Elsevier, vol. 165(P1), pages 689-700.
    23. Kuriyama, Akihisa & Abe, Naoya, 2018. "Ex-post assessment of the Kyoto Protocol – quantification of CO2 mitigation impact in both Annex B and non-Annex B countries-," Applied Energy, Elsevier, vol. 220(C), pages 286-295.
    24. Kerui Du, 2017. "Econometric convergence test and club clustering using Stata," Stata Journal, StataCorp LP, vol. 17(4), pages 882-900, December.
    25. Steinke, Florian & Wolfrum, Philipp & Hoffmann, Clemens, 2013. "Grid vs. storage in a 100% renewable Europe," Renewable Energy, Elsevier, vol. 50(C), pages 826-832.
    26. Hashemizadeh, Ali & Bui, Quocviet & Kongbuamai, Nattapan, 2021. "Unpacking the role of public debt in renewable energy consumption: New insights from the emerging countries," Energy, Elsevier, vol. 224(C).
    27. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    28. Ankrah, Isaac & Lin, Boqiang, 2020. "Renewable energy development in Ghana: Beyond potentials and commitment," Energy, Elsevier, vol. 198(C).
    29. Bogdanov, Dmitrii & Ram, Manish & Aghahosseini, Arman & Gulagi, Ashish & Oyewo, Ayobami Solomon & Child, Michael & Caldera, Upeksha & Sadovskaia, Kristina & Farfan, Javier & De Souza Noel Simas Barbos, 2021. "Low-cost renewable electricity as the key driver of the global energy transition towards sustainability," Energy, Elsevier, vol. 227(C).
    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. Lin, Boqiang & Huang, Chenchen, 2023. "Promoting variable renewable energy integration: The moderating effect of digitalization," Applied Energy, Elsevier, vol. 337(C).
    2. Zapata, Sebastian & Castaneda, Monica & Herrera, Milton M. & Dyner, Isaac, 2023. "Investigating the concurrence of transmission grid expansion and the dissemination of renewables," Energy, Elsevier, vol. 276(C).
    3. Lee, Chien-Chiang & Wang, Fuhao & Chang, Yu-Fang, 2023. "Does green finance promote renewable energy? Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    4. Naveen Venkatesh Sridharan & Jerome Vasanth Joseph & Sugumaran Vaithiyanathan & Mohammadreza Aghaei, 2023. "Weightless Neural Network-Based Detection and Diagnosis of Visual Faults in Photovoltaic Modules," Energies, MDPI, vol. 16(15), pages 1-17, August.
    5. Qiangyi Li & Lan Yang & Fangxin Jiang & Yangqing Liu & Chenyang Guo & Shuya Han, 2022. "Distribution Characteristics, Regional Differences and Spatial Convergence of the Water-Energy-Land-Food Nexus: A Case Study of China," Land, MDPI, vol. 11(9), pages 1-28, September.
    6. Kellil, N. & Aissat, A. & Mellit, A., 2023. "Fault diagnosis of photovoltaic modules using deep neural networks and infrared images under Algerian climatic conditions," Energy, Elsevier, vol. 263(PC).
    7. Taştan, Hüseyin & Yıldız, Hakan, 2023. "Club convergence analysis of city-level electricity consumption in Turkey," Energy, Elsevier, vol. 265(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. Valerio Mendoza, Octasiano Miguel & Borsi, Mihály Tamás & Comim, Flavio, 2022. "Human capital dynamics in China: Evidence from a club convergence approach," Journal of Asian Economics, Elsevier, vol. 79(C).
    2. Taştan, Hüseyin & Yıldız, Hakan, 2023. "Club convergence analysis of city-level electricity consumption in Turkey," Energy, Elsevier, vol. 265(C).
    3. Ibrahiem, Dalia M. & Hanafy, Shaimaa A., 2021. "Do energy security and environmental quality contribute to renewable energy? The role of trade openness and energy use in North African countries," Renewable Energy, Elsevier, vol. 179(C), pages 667-678.
    4. Chen, Yu & Lin, Boqiang, 2021. "Understanding the green total factor energy efficiency gap between regional manufacturing—insight from infrastructure development," Energy, Elsevier, vol. 237(C).
    5. Yao Wang & Qiang Yang & Xuenan Wu & Ruichen Wang & Tilei Gao & Yuntong Liu, 2023. "A Study of Trends in Low-Energy Development Patterns in China: A Data-Driven Approach," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    6. Dogan, Eyup & Chishti, Muhammad Zubair & Karimi Alavijeh, Nooshin & Tzeremes, Panayiotis, 2022. "The roles of technology and Kyoto Protocol in energy transition towards COP26 targets: Evidence from the novel GMM-PVAR approach for G-7 countries," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Ngoudji Tameko, Charlie Yves & Ningaye, Paul, 2023. "New evidence on life expectancy and development: is Sub-Saharan Africa different?," MPRA Paper 117265, University Library of Munich, Germany.
    8. He, Weijun & Chen, Hao, 2022. "Will China's provincial per capita energy consumption converge to a common level over 1990–2017? Evidence from a club convergence approach," Energy, Elsevier, vol. 249(C).
    9. 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.
    10. Peng, Hua-Rong & Tan, Xiujie & Managi, Shunsuke & Taghizadeh-Hesary, Farhad, 2022. "Club convergence in energy efficiency of Belt and Road Initiative countries: The role of China’s outward foreign direct investment," Energy Policy, Elsevier, vol. 168(C).
    11. Kerner, Philip & Wendler, Tobias, 2022. "Convergence in resource productivity," World Development, Elsevier, vol. 158(C).
    12. Payne, James E. & Lee, Junsoo & Islam, Md. Towhidul & Nazlioglu, Saban, 2022. "Stochastic convergence of per capita greenhouse gas emissions: New unit root tests with breaks and a factor structure," Energy Economics, Elsevier, vol. 113(C).
    13. Qin, Yong & Xu, Zeshui & Wang, Xinxin & Škare, Marinko, 2023. "The effects of financial institutions on the green energy transition: A cross-sectional panel study," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 524-542.
    14. Onuoha, Favour Chidinma & Dimnwobi, Stephen Kelechi & Okere, Kingsley Ikechukwu & Ekesiobi, Chukwunonso, 2023. "Funding the green transition: Governance quality, public debt, and renewable energy consumption in Sub-Saharan Africa," Utilities Policy, Elsevier, vol. 82(C).
    15. Shen, Zhiyang & Bai, Kaixuan & Hong, Tianyang & Balezentis, Tomas, 2021. "Evaluation of carbon shadow price within a non-parametric meta-frontier framework: The case of OECD, ASEAN and BRICS," Applied Energy, Elsevier, vol. 299(C).
    16. Chunyan Lin & Wen Qiao, 2022. "Statistical Measurements and Club Effects of High-Quality Development in Chinese Manufacturing," IJERPH, MDPI, vol. 19(23), pages 1-22, December.
    17. Qi, Shaozhou & Peng, Huarong & Zhang, Xiaoling & Tan, Xiujie, 2019. "Is energy efficiency of Belt and Road Initiative countries catching up or falling behind? Evidence from a panel quantile regression approach," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    18. Sun, Huaping & Kporsu, Anthony Kwaku & Taghizadeh-Hesary, Farhad & Edziah, Bless Kofi, 2020. "Estimating environmental efficiency and convergence: 1980 to 2016," Energy, Elsevier, vol. 208(C).
    19. Yan Wang & Yuan Gong & Caiquan Bai & Hong Yan & Xing Yi, 2023. "Exploring the convergence patterns of PM2.5 in Chinese cities," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 708-733, January.
    20. Christopoulos, Konstantinos & Eleftheriou, Konstantinos, 2020. "Premature mortality in the US: A convergence study," Social Science & Medicine, Elsevier, vol. 258(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:eee:energy:v:254:y:2022:i:pb:s0360544222011689. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.