IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v311y2024ics0360544224031773.html
   My bibliography  Save this article

The contribution of clean energy consumption and production to sustainable economic development: New insights from the PSTR model

Author

Listed:
  • Cao, Yun
  • Jiang, Peng
  • Zhang, Qinyi
  • Wang, Yuchen
  • Yin, Kedong

Abstract

Massive consumption of fossil fuels has posed significant threat to sustainable development. Therefore, clean energy is an urgent requirement for sustainable economic development (SED). There is no comprehensive assessment of the relationship between clean energy and the SED, signifying a research gap in understanding the non-linear effects between them. This study fills this gap by calculating the SED index for China and using a panel smoothed transformation regression model. The findings reveal that the impact of clean energy development and utilisation on SED is characterised by non-linearity, which manifests in two key aspects: (1) Clean energy consumption (CEC) positively influences SED, with its impact strengthening alongside improvements in industrial structure optimisation and economic growth. Notably, the threshold values for the industrial optimisation level, industrial structure level, and economic development are 1.0390, 0.4667, and 43730, respectively. (2) The relationship between clean energy production (CEP) and SED follows a U-shaped curve; once economic development surpasses 38,588 units, CEP transitions from a negative to a positive influence on SED. This study provides valuable insights into comprehensive measurement of SED, offering guidance for countries worldwide to formulate context-specific energy policies aligned with their respective industrial structures and stages of economic development to foster SED growth.

Suggested Citation

  • Cao, Yun & Jiang, Peng & Zhang, Qinyi & Wang, Yuchen & Yin, Kedong, 2024. "The contribution of clean energy consumption and production to sustainable economic development: New insights from the PSTR model," Energy, Elsevier, vol. 311(C).
  • Handle: RePEc:eee:energy:v:311:y:2024:i:c:s0360544224031773
    DOI: 10.1016/j.energy.2024.133401
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224031773
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2024.133401?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. Agyeman, Stephen Duah & Lin, Boqiang, 2022. "Nonrenewable and renewable energy substitution, and low–carbon energy transition: Evidence from North African countries," Renewable Energy, Elsevier, vol. 194(C), pages 378-395.
    2. Fang, Guochang & Chen, Gang & Yang, Kun & Yin, Weijun & Tian, Lixin, 2023. "Can green tax policy promote China's energy transformation?— A nonlinear analysis from production and consumption perspectives," Energy, Elsevier, vol. 269(C).
    3. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    4. 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.
    5. Fouquau, Julien & Hurlin, Christophe & Rabaud, Isabelle, 2008. "The Feldstein-Horioka puzzle: A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 25(2), pages 284-299, March.
    6. Liu, Xiaoyu & Zhao, Ti & Li, Ran, 2023. "Studying the green economic growth with clean energy and green finance: The role of financial policy," Renewable Energy, Elsevier, vol. 215(C).
    7. Wang, Jiangquan & Shahbaz, Muhammad & Song, Malin, 2021. "Evaluating energy economic security and its influencing factors in China," Energy, Elsevier, vol. 229(C).
    8. Gilbert Colletaz & Christophe Hurlin, 2006. "Threshold Effects in the Public Capital Productivity: an International Panel Smooth Transition Approach," Post-Print halshs-00257487, HAL.
    9. Wang, En-Ze & Lee, Chien-Chiang, 2022. "The impact of clean energy consumption on economic growth in China: Is environmental regulation a curse or a blessing?," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 39-58.
    10. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    11. Liao, Chuan & Erbaugh, James T. & Kelly, Allison C. & Agrawal, Arun, 2021. "Clean energy transitions and human well-being outcomes in Lower and Middle Income Countries: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    12. Adewale Alola, Andrew & Ozturk, Ilhan & Bekun, Festus Victor, 2021. "Is clean energy prosperity and technological innovation rapidly mitigating sustainable energy-development deficit in selected sub-Saharan Africa? A myth or reality," Energy Policy, Elsevier, vol. 158(C).
    13. Wang, Wei & Rehman, Mubeen Abdur & Fahad, Shah, 2022. "The dynamic influence of renewable energy, trade openness, and industrialization on the sustainable environment in G-7 economies," Renewable Energy, Elsevier, vol. 198(C), pages 484-491.
    14. Hoseinzadeh, Siamak & Ghasemi, Mohammad Hadi & Heyns, Stephan, 2020. "Application of hybrid systems in solution of low power generation at hot seasons for micro hydro systems," Renewable Energy, Elsevier, vol. 160(C), pages 323-332.
    15. He, Ruofan & Wan, Panbing & Yang, Mian, 2024. "The resource curse in energy-rich regions: Evidence from China's ultra-high voltage transmission," Energy, Elsevier, vol. 304(C).
    16. Bei, Jinlan & Wang, Chunyu, 2023. "Renewable energy resources and sustainable development goals: Evidence based on green finance, clean energy and environmentally friendly investment," Resources Policy, Elsevier, vol. 80(C).
    17. Zhang, Hongwei & Hong, Huojun & Ding, Shijie, 2023. "The role of climate policy uncertainty on the long-term correlation between crude oil and clean energy," Energy, Elsevier, vol. 284(C).
    18. Wu, Desheng & Xie, Yu & Liu, Dingjie, 2023. "Rethinking the complex effects of the clean energy transition on air pollution abatement: Evidence from China's coal-to-gas policy," Energy, Elsevier, vol. 283(C).
    19. Lin, Boqiang & Li, Zheng, 2022. "Towards world's low carbon development: The role of clean energy," Applied Energy, Elsevier, vol. 307(C).
    20. Hoseinzadeh, Siamak & Astiaso Garcia, Davide & Huang, Lizhen, 2023. "Grid-connected renewable energy systems flexibility in Norway islands’ Decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    21. Ali, Syed Ahtsham & Alharthi, Majed & Hussain, Hafezali Iqbal & Rasul, Farhat & Hanif, Imran & Haider, Jahanzaib & Ullah, Saad & ur Rahman, Saeed & Abbas, Qaiser, 2021. "A clean technological innovation and eco-efficiency enhancement: A multi-index assessment of sustainable economic and environmental management," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    22. Huang, Xiaoling & Tian, Peng, 2023. "Polluting thy neighbor or benefiting thy neighbor: Effects of the clean energy development on haze pollution in China," Energy, Elsevier, vol. 268(C).
    23. He, Xu & Sun, Shiquan & Leong, Lin Woon & Cong, Phan The & Abu-Rumman, Ayman & Halteh, Khaled, 2023. "Does clean energy and technological innovation matter for economic growth? An Asian countries perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1195-1208.
    24. Mori-Clement, Yadira, 2019. "Impacts of CDM projects on sustainable development: Improving living standards across Brazilian municipalities?," World Development, Elsevier, vol. 113(C), pages 222-236.
    25. Hamit-Haggar, Mahamat, 2016. "Clean energy-growth nexus in sub-Saharan Africa: Evidence from cross-sectionally dependent heterogeneous panel with structural breaks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1237-1244.
    26. Zhu Liu & Dabo Guan & Wei Wei & Steven J. Davis & Philippe Ciais & Jin Bai & Shushi Peng & Qiang Zhang & Klaus Hubacek & Gregg Marland & Robert J. Andres & Douglas Crawford-Brown & Jintai Lin & Hongya, 2015. "Reduced carbon emission estimates from fossil fuel combustion and cement production in China," Nature, Nature, vol. 524(7565), pages 335-338, August.
    27. Li, Jianglong & Lin, Boqiang, 2016. "Inter-factor/inter-fuel substitution, carbon intensity, and energy-related CO2 reduction: Empirical evidence from China," Energy Economics, Elsevier, vol. 56(C), pages 483-494.
    28. Zheng, Jiali & Feng, Gengzhong & Ren, Zhuanzhuan & Qi, Nengxi & Coffman, D'Maris & Zhou, Yunlai & Wang, Shouyang, 2022. "China's energy consumption and economic activity at the regional level," Energy, Elsevier, vol. 259(C).
    29. Thai-Ha Le, Youngho Chang, and Donghyun Park, 2020. "Renewable and Nonrenewable Energy Consumption, Economic Growth, and Emissions: International Evidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 73-92.
    30. Jaforullah, Mohammad & King, Alan, 2015. "Does the use of renewable energy sources mitigate CO2 emissions? A reassessment of the US evidence," Energy Economics, Elsevier, vol. 49(C), pages 711-717.
    31. Samar Khairy Ghanem, 2018. "The relationship between population and the environment and its impact on sustainable development in Egypt using a multi-equation model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 305-342, February.
    32. Ozcan, Burcu & Ozturk, Ilhan, 2019. "Renewable energy consumption-economic growth nexus in emerging countries: A bootstrap panel causality test," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 30-37.
    33. Shahbaz, muhammad & Solarin, Sakiru Adebola & Sbia, Rashid & Bibi, Sadia, 2015. "Does Energy Intensity Contribute to CO2 Emissions? A Trivariate Analysis in Selected African Countries," MPRA Paper 64335, University Library of Munich, Germany, revised 19 Mar 2015.
    34. Dogan, Eyup & Altinoz, Buket & Madaleno, Mara & Taskin, Dilvin, 2020. "The impact of renewable energy consumption to economic growth: A replication and extension of Inglesi-Lotz (2016)," Energy Economics, Elsevier, vol. 90(C).
    35. Zhao, Haoran & Guo, Sen, 2023. "Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model," Energy, Elsevier, vol. 282(C).
    36. Day, Min-Yuh & Ni, Yensen, 2023. "Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?," Energy, Elsevier, vol. 272(C).
    37. Khan, Irfan & Zakari, Abdulrasheed & Zhang, Jinjun & Dagar, Vishal & Singh, Sanjeet, 2022. "A study of trilemma energy balance, clean energy transitions, and economic expansion in the midst of environmental sustainability: New insights from three trilemma leadership," Energy, Elsevier, vol. 248(C).
    38. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
    39. Yu-Ke, Chen & Hassan, Muhammad Shahid & Kalim, Rukhsana & Mahmood, Haider & Arshed, Noman & Salman, Muhammad, 2022. "Testing asymmetric influence of clean and unclean energy for targeting environmental quality in environmentally poor economies," Renewable Energy, Elsevier, vol. 197(C), pages 765-775.
    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. Zhang, Mingming & Zhang, Shichang & Lee, Chien-Chiang & Zhou, Dequn, 2021. "Effects of trade openness on renewable energy consumption in OECD countries: New insights from panel smooth transition regression modelling," Energy Economics, Elsevier, vol. 104(C).
    2. Xiaosheng Li & Xia Yan & Qingxian An & Ke Chen & Zhen Shen, 2016. "The coordination between China’s economic growth and environmental emission from the Environmental Kuznets Curve viewpoint," 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. 83(1), pages 233-252, August.
    3. Namahoro, J.P. & Nzabanita, J. & Wu, Q., 2021. "The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis," Energy, Elsevier, vol. 237(C).
    4. Ibarra, Raul & Trupkin, Danilo R., 2016. "Reexamining the relationship between inflation and growth: Do institutions matter in developing countries?," Economic Modelling, Elsevier, vol. 52(PB), pages 332-351.
    5. Chakroun, Mohamed, 2009. "Health care expenditure and GDP: An international panel smooth transition approach," MPRA Paper 14322, University Library of Munich, Germany.
    6. Ben Lahouel, Béchir & Bruna, Maria-Giuseppina & Ben Zaied, Younes, 2020. "The curvilinear relationship between environmental performance and financial performance: An investigation of listed french firms using panel smooth transition model," Finance Research Letters, Elsevier, vol. 35(C).
    7. Jian Chai & Ting Liang & Xiaoyang Zhou & Yunxiao Ye & Limin Xing & Kin Keung Lai, 2016. "Natural Gas Consumption of Emerging Economies in the Industrialization Process," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    8. Anne-Laure Delatte & Julien Fouquau, 2011. "The determinants of international reserves in the emerging countries: a nonlinear approach," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4179-4192.
    9. Jean Galbert, ONGONO OLINGA, 2023. "Agricultural Productivity and Climate Change: An Evidence of a non-linear Relationship in Sub-Saharan Africa," MPRA Paper 117669, University Library of Munich, Germany.
    10. Joe-Ming Lee & Ku-Hsieh Chen & Jying-Nan Wang, 2016. "The Relation Between Bond Fund Investor Flows And Volatility," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-13, December.
    11. Chang, Chiu-Lan & Fang, Ming, 2022. "Renewable energy-led growth hypothesis: New insights from BRICS and N-11 economies," Renewable Energy, Elsevier, vol. 188(C), pages 788-800.
    12. Giannellis, Nikolaos & Koukouritakis, Minoas, 2019. "Gold price and exchange rates: A panel smooth transition regression model for the G7 countries," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 27-46.
    13. Koukouritakis, Minoas, 2022. "Environmental Performance and GDP Growth: A Non-linear Approach for the G20 Countries," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 75(1), pages 101-130.
    14. Yi-Chi Chen & Chang-Ching Lin, 2010. "Threshold Effects in Cigarette Addiction: An Application of the Threshold Model in Dynamic Panels," Economics Bulletin, AccessEcon, vol. 30(4), pages 3128-3142.
    15. Lee, Chien-Chiang & Chiu, Yi-Bin, 2013. "Modeling OECD energy demand: An international panel smooth transition error-correction model," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 372-383.
    16. Nikolaos Giannellis & Minoas Koukouritakis, 2018. "Currency Misalignments in the BRIICS Countries: Fixed Vs. Floating Exchange Rates," Open Economies Review, Springer, vol. 29(5), pages 1123-1151, November.
    17. Eggoh C. Jude, 2010. "Financial Development And Growth: A Panel Smooth Regression Approach," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 35(1), pages 15-33, March.
    18. Duarte, Rosa & Pinilla, Vicente & Serrano, Ana, 2013. "Is there an environmental Kuznets curve for water use? A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 31(C), pages 518-527.
    19. Kyoungsoo Yoon & Christophe Hurlin, 2014. "Cross-country-heterogeneous and Time-varying Effects of Unconventional Monetary Policies in AEs on Portfolio Inflows to EMEs," Working Papers 2014-5, Economic Research Institute, Bank of Korea.
    20. Lena Dr䧥r & Jan-Oliver Menz & Ulrich Fritsche, 2014. "Perceived inflation under loss aversion," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 282-293, January.

    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:311:y:2024:i:c:s0360544224031773. 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.