Role of nuclear energy,geothermal energy,agriculture, and urbanization in environmental stewardship |
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| Institution: | 1. College of Economics, Sichuan Agricultural University, Chengdu 611130, China;2. School of Management and Entrepreneurship, Indian Institute of Technology Jodhpur, Jodhpur, 342037, India;3. University of Lagos, Akoka, Nigeria;4. Lagos State University, School of Foundation, Badagry, Nigeria;1. CEREN EA 7477, Burgundy School of Business, Université Bourgogne Franche-Comté, Department of Accounting, Finance & Law, Dijon, France;2. Edwards Aquifer Authority, 900 E. Quincy, San Antonio, TX 78215, USA;3. School of Civil and Environmental Engineering, and Construction Management, University of Texas San Antonio, 501 W Cesar E Chavez Blvd., San Antonio, TX 78207, USA;4. Institute of Sustainable Business and Organizations, Sciences and Humanities Confluence Research Center -UCLY, ESDES, France;1. Research Division, CAREC Institute, Urumqi 830000, PR China;3. Department of Economics and Finance, Sunway Business School, Sunway University, Subang Jaya, Malaysia;5. College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates;6. Faculty of Economics, Administrative and Social Sciences, Nisantasi University, Istanbul, Turkey;7. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan;8. School of Economics and Management, Xinjiang University, Xinjiang, PR China |
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| Abstract: | The global issue of atmospheric variations and global warming caused by diverse anthropogenic behaviors is a global concern. There is apprehension about preserving an uncontaminated atmosphere and attaining optimal nuclear and geothermal energy utilization with agriculture sector development. In this regard, this paper investigates the influence of nuclear energy, geothermal energy, agriculture development, and urbanization on carbon emissions and ecological footprint from 1990Q1 to 2019Q4 in the case of China. The findings of unit root tests reveal that all variables are stationary at first integration order, and cointegration test findings confirm the presence of long-run relationships among series. The quantile autoregressive distributive lag (QARDL) method findings demonstrate that nuclear energy, geothermal energy, and urbanization statistically correlate with CO2 emissions and ecological footprint across all quantiles, indicating that these determinants have contributed to environmental degradation. Whereas agricultural development has a statistically significant and negative influence on the environment, implying that agriculture has a pollution-mitigation impact. Based on these empirical findings, several policy implications are presented to preserve environmental quality to achieve the 2030 Sustainable Development Goals (SDGs) target. |
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| Keywords: | Nuclear energy Geothermal energy Agriculture development Carbon emissions ecological footprint QARDL approach China |
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