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Do natural resources ensure energy efficiency? A novel paradigm of resources-efficiency nexus for sustainable development

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  • Zeng, Queling
  • Li, Ruida
  • Zhang, Ting

Abstract

There is been ample discussion on the resource-growth and resource-finance nexus in almost every country but the resource-energy paradigm is lacking in developed and developing economies. Henceforth, this research inspects the link between natural resources and energy efficiency in the USA from 1985 to 2021. To avoid biases in the outputs, the research also included the role of economic growth (GDP) and renewable energy(REC). The research utilized an updated time series data sample and also employed relevant approaches which comprise DF-GLS for unit root determination, the Bayer-Hanck test for equilibrium, and the novel MMQR as the primary approach. For robustness tests, the research included parametric tests such as FMOLS, DOLS, CCR, and a non-parametric approach which is BSQR for validity. The results observed that variables are stationary at Difference D(1) and long-term equilibrium has been found. Moreover, the main outcomes disclose that natural resources have an asymmetric relationship where the forest rents present a resource curse while mineral rents have blessings for energy efficiency in the USA across all quantiles. Moreover, GDP and REC substantially improve energy efficiency in the USA. The robustness protocols exhibit that outcomes are analogous to the main outcomes and are therefore, valid, reliable, and robust. Established on the estimates, the research provides relevant policy suggestions to policymakers concerning the sustainable use of natural resources, economic growth, and renewable energy related to energy efficiency.

Suggested Citation

  • Zeng, Queling & Li, Ruida & Zhang, Ting, 2023. "Do natural resources ensure energy efficiency? A novel paradigm of resources-efficiency nexus for sustainable development," Resources Policy, Elsevier, vol. 87(PA).
  • Handle: RePEc:eee:jrpoli:v:87:y:2023:i:pa:s0301420723010346
    DOI: 10.1016/j.resourpol.2023.104323
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    1. Pinglin He & Yulong Sun & Huayu Shen & Jianhui Jian & Zhongfu Yu, 2019. "Does Environmental Tax Affect Energy Efficiency? An Empirical Study of Energy Efficiency in OECD Countries Based on DEA and Logit Model," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    2. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    3. Li, Menghan & Zhang, Kaiyue & Alamri, Ahmad Mohammed & Ageli, Mohammed Moosa & Khan, Numan, 2023. "Resource curse hypothesis and sustainable development: Evaluating the role of renewable energy and R&D," Resources Policy, Elsevier, vol. 81(C).
    4. Mehmet Balcilar & Gizem Uzuner & Chinazaekpere Nwani & Festus Victor Bekun, 2023. "Boosting Energy Efficiency in Turkey: The Role of Public–Private Partnership Investment," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    6. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    7. Shahzad, Umer & Doğan, Buhari & Sinha, Avik & Fareed, Zeeshan, 2021. "Does Export product diversification help to reduce energy demand: Exploring the contextual evidences from the newly industrialized countries," Energy, Elsevier, vol. 214(C).
    8. Zhang, Chunhong & Khan, Irfan & Dagar, Vishal & Saeed, Asif & Zafar, Muhammad Wasif, 2022. "Environmental impact of information and communication technology: Unveiling the role of education in developing countries," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Khan, Irfan & Zakari, Abdulrasheed & Dagar, Vishal & Singh, Sanjeet, 2022. "World energy trilemma and transformative energy developments as determinants of economic growth amid environmental sustainability," Energy Economics, Elsevier, vol. 108(C).
    11. Balsalobre-Lorente, Daniel & Contente dos Santos Parente, Clara & Leitão, Nuno Carlos & Cantos-Cantos, José María, 2023. "The influence of economic complexity processes and renewable energy on CO2 emissions of BRICS. What about industry 4.0?," Resources Policy, Elsevier, vol. 82(C).
    12. Yanli Ji & Jie Xue & Zitian Fu, 2022. "Sustainable Development of Economic Growth, Energy-Intensive Industries and Energy Consumption: Empirical Evidence from China’s Provinces," Sustainability, MDPI, vol. 14(12), pages 1-20, June.
    13. Peter Boswijk, H., 1994. "Testing for an unstable root in conditional and structural error correction models," Journal of Econometrics, Elsevier, vol. 63(1), pages 37-60, July.
    14. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    15. Suki, Norazah Mohd & Suki, Norbayah Mohd & Afshan, Sahar & Sharif, Arshian & Meo, Muhammad Saeed, 2022. "The paradigms of technological innovation and renewables as a panacea for sustainable development: A pathway of going green," Renewable Energy, Elsevier, vol. 181(C), pages 1431-1439.
    16. Anindya Banerjee & Juan Dolado & Ricardo Mestre, 1998. "Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(3), pages 267-283, May.
    17. Khan, Irfan & Hou, Fujun & Le, Hoang Phong & Ali, Syed Ahtsham, 2021. "Do natural resources, urbanization, and value-adding manufacturing affect environmental quality? Evidence from the top ten manufacturing countries," Resources Policy, Elsevier, vol. 72(C).
    18. Doğan, Buhari & Chu, Lan Khanh & Ghosh, Sudeshna & Diep Truong, Huong Hoang & Balsalobre-Lorente, Daniel, 2022. "How environmental taxes and carbon emissions are related in the G7 economies?," Renewable Energy, Elsevier, vol. 187(C), pages 645-656.
    19. Yao, Xing & Yasmeen, Rizwana & Hussain, Jamal & Hassan Shah, Wasi Ul, 2021. "The repercussions of financial development and corruption on energy efficiency and ecological footprint: Evidence from BRICS and next 11 countries," Energy, Elsevier, vol. 223(C).
    20. Khan, Zeeshan & Hossain, Mohammad Razib & Badeeb, Ramez Abubakr & Zhang, Changyong, 2023. "Aggregate and disaggregate impact of natural resources on economic performance: Role of green growth and human capital," Resources Policy, Elsevier, vol. 80(C).
    21. Najia Saqib & Ivan A. Duran & Nazia Hashmi, 2022. "Impact of Financial Deepening, Energy Consumption and Total Natural Resource Rent on CO2 Emission in the GCC Countries: Evidence from Advanced Panel Data Simulation," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 400-409, March.
    22. Wei, Max & Patadia, Shana & Kammen, Daniel M., 2010. "Putting renewables and energy efficiency to work: How many jobs can the clean energy industry generate in the US?," Energy Policy, Elsevier, vol. 38(2), pages 919-931, February.
    23. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(1), pages 105-121, February.
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