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Clean energy, food, water and environment

Examining COP27 targets for China's economy

Bibliographic Data

ID21647577
AuthorsLi Hou (0000-0001-7336-804X, School of Marxism Jilin Normal University Siping China), Hao Liang (0000-0003-4183-3423, Tianjin Tianhe Hospital), Liang Hao (0000-0003-2071-7044, School of Economics and Management Tianshi College Tianjin China), Weizheng Wang (0000-0001-5354-6953, Institute of Agricultural Information Chinese Academy of Agricultural Sciences Beijing China), Jun Zhou (0000-0003-1374-8248, Shiyuan College Nanning Normal University Nanning China), Jiale Yan (0009-0004-1837-5510, Irvine Valley College Irvine California USA), Mahadi Hasan Miraz (0000-0003-3008-7090, Department of Management, Marketing and Digital Business Curtin University Miri Malaysia)
Year2024
Volume35
Issue16
Pages4726-4740
Publication date2024-10-01
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.5253
OpenAlexW4401433873
LanguageEN
References cited71

Currently, emerging as well as industrialized countries are transitioning toward adopting clean energy sources because of increased environmental calamities. Additionally, the rapid increase in population has improved global food production and demand. Nevertheless, the environmental consequences of food production and water investments have received limited attention from scholars. The present research investigates China's environmental determinants between 1988 and 2022. This study uses three parametric approaches (fully modified ordinary least squares [FMOLS], dynamic ordinary least squares [DOLS], and canonical cointegrating regression [CCR]) for the primary model assessment. However, this research also employed the least squares method with breaks and quantile regression to account for structural breaks and nonnormality issues. The predicted outcomes asserted that economic expansion and investment in water significantly improve the carbon emissions level in the country. However, enhanced food production and clean energy adoption improve environmental sustainability and the probability of achieving COP27 targets by reducing emissions. The outcomes are robust and reliable based on the given literature. Based on the outcomes, this research recommends improved investment in research and development, increased renewable energy production, and strong policies for decoupling economic growth from emissions via clean energy

Biology · Econometrics · Economics · Environmental economics · Kuznets Curve · Macroeconomics · Natural resource economics · Ordinary least squares · Population · Quantile regression · Renewable energy · Sustainability · Energy, Environment, and Transportation Policies · Energy, Environment, Economic Growth · Environmental Impact and Sustainability · Ecology

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