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Impact of energy intensity, green economy, and natural resources development to achieve sustainable economic growth in Asian countries

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  • Huang, Weiting
  • He, Jia

Abstract

Natural resource depletion has a multiplicative effect on economic development. As a result of the SDG, global impacts are now at the forefront of the global industry's concerns. This research aims to understand better the interplay between the endowment of natural resources, institutional strength, trade liberalization, and FDI from 2009 through 2021, a system GMM model is used to examine the relationships between NRR, IQ, too, and FDI in China. As a result of their high GDP, these nations were selected by the European GMM model (GDP). In the end, the study found that the economy of these nations improved once they began using both natural and artificial energy sources. Resources may be a driver or a drag on economic growth, depending on the nation. Levels of carbon dioxide increase with economic growth and fossil fuel usage but decrease when renewable energy sources are prioritized. The amount of carbon dioxide (CO2) released due to the combustion of natural resources is also considered in each section. Carbon dioxide emissions may be reduced, and economic growth encouraged via the employment of laws promoting following standards and great learning surroundings.

Suggested Citation

  • Huang, Weiting & He, Jia, 2023. "Impact of energy intensity, green economy, and natural resources development to achieve sustainable economic growth in Asian countries," Resources Policy, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:jrpoli:v:84:y:2023:i:c:s0301420723004373
    DOI: 10.1016/j.resourpol.2023.103726
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    1. Chang, Lei & Taghizadeh-Hesary, Farhad & Saydaliev, Hayot Berk, 2022. "How do ICT and renewable energy impact sustainable development?," Renewable Energy, Elsevier, vol. 199(C), pages 123-131.
    2. Luo, Sumei & Yu, Shenghui & Zhou, Guangyou, 2021. "Does green credit improve the core competence of commercial banks? Based on quasi-natural experiments in China," Energy Economics, Elsevier, vol. 100(C).
    3. Quang-Thanh Ngo & Hoa Anh Tran & Hai Thi Thanh Tran, 2021. "The impact of green finance and Covid-19 on economic development: capital formation and educational expenditure of ASEAN economies," China Finance Review International, Emerald Group Publishing Limited, vol. 12(2), pages 261-279, October.
    4. Li, ChangZheng & Umair, Muhammad, 2023. "Does green finance development goals affects renewable energy in China," Renewable Energy, Elsevier, vol. 203(C), pages 898-905.
    5. Liu, Xinghe & Wang, Enxian & Cai, Danting, 2019. "Green credit policy, property rights and debt financing: Quasi-natural experimental evidence from China," Finance Research Letters, Elsevier, vol. 29(C), pages 129-135.
    6. Faheem Ur Rehman & Abul Ala Noman & Yibing Ding, 2020. "Does infrastructure increase exports and reduce trade deficit? Evidence from selected South Asian countries using a new Global Infrastructure Index," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-23, December.
    7. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
    8. Edward B. Barbier & Joanne C. Burgess, 2017. "Natural Resource Economics, Planetary Boundaries and Strong Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-12, October.
    9. Liao, Shujie & Wang, Fengxia & Wu, Ting & Pan, Wei, 2016. "Crude oil price decision under considering emergency and release of strategic petroleum reserves," Energy, Elsevier, vol. 102(C), pages 436-443.
    10. Yang, Zhenbing & Fan, Meiting & Shao, Shuai & Yang, Lili, 2017. "Does carbon intensity constraint policy improve industrial green production performance in China? A quasi-DID analysis," Energy Economics, Elsevier, vol. 68(C), pages 271-282.
    11. Chakraborty, Pavel & Chatterjee, Chirantan, 2017. "Does environmental regulation indirectly induce upstream innovation? New evidence from India," Research Policy, Elsevier, vol. 46(5), pages 939-955.
    12. Łukajtis, Rafał & Hołowacz, Iwona & Kucharska, Karolina & Glinka, Marta & Rybarczyk, Piotr & Przyjazny, Andrzej & Kamiński, Marian, 2018. "Hydrogen production from biomass using dark fermentation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 665-694.
    13. Muhammad Ikram & Qingyu Zhang & Robert Sroufe & Marcos Ferasso, 2020. "The Social Dimensions of Corporate Sustainability: An Integrative Framework Including COVID-19 Insights," Sustainability, MDPI, vol. 12(20), pages 1-29, October.
    14. Nguyen, Hoa & Faff, Robert, 2006. "Foreign debt and financial hedging: Evidence from Australia," International Review of Economics & Finance, Elsevier, vol. 15(2), pages 184-201.
    15. Parvadavardini SOUNDARRAJAN & Nagarajan VIVEK, 2016. "Green finance for sustainable green economic growth in India," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 62(1), pages 35-44.
    16. Mohsin, Muhammad & Taghizadeh-Hesary, Farhad & Panthamit, Nisit & Anwar, Saba & Abbas, Qaiser & Vo, Xuan Vinh, 2021. "Developing Low Carbon Finance Index: Evidence From Developed and Developing Economies," Finance Research Letters, Elsevier, vol. 43(C).
    17. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Comparing aggregating methods for constructing the composite environmental index: An objective measure," Ecological Economics, Elsevier, vol. 59(3), pages 305-311, September.
    18. Xingle Long & Yusen Luo & Huaping Sun & Gang Tian, 2018. "Fertilizer using intensity and environmental efficiency for China’s agriculture sector from 1997 to 2014," 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. 92(3), pages 1573-1591, July.
    19. Liu, Fang & Umair, Muhammad & Gao, Junjun, 2023. "Assessing oil price volatility co-movement with stock market volatility through quantile regression approach," Resources Policy, Elsevier, vol. 81(C).
    20. Magnus, Jan R. & Vasnev, Andrey L., 2015. "Interpretation and use of sensitivity in econometrics, illustrated with forecast combinations," International Journal of Forecasting, Elsevier, vol. 31(3), pages 769-781.
    21. Martínez-Moya, Julián & Vazquez-Paja, Barbara & Gimenez Maldonado, Jose Andrés, 2019. "Energy efficiency and CO2 emissions of port container terminal equipment: Evidence from the Port of Valencia," Energy Policy, Elsevier, vol. 131(C), pages 312-319.
    22. Chang, Lei & Taghizadeh-Hesary, Farhad & Chen, Huangen & Mohsin, Muhammad, 2022. "Do green bonds have environmental benefits?," Energy Economics, Elsevier, vol. 115(C).
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