Determinants of Load capacity factor in BRICS countries: A panel data analysis

被引:52
作者
Yang, Minjing [1 ]
Magazzino, Cosimo [2 ]
Awosusi, Abraham Ayobamiji [3 ,5 ]
Abdulloev, Navzodbek [4 ]
机构
[1] Southwest Jiaotong Univ, Hope Coll, Business Sch, Chengdu, Peoples R China
[2] Roma Tre Univ, Dept Polit Sci, Rome, Italy
[3] Bahcesehir Cyprus Univ, Fac Econ Adm & Social Sci, Dept Econ, Northern Cyprus, Turkiye
[4] New Uzbekistan Univ, Sch Humanities Nat & Social Sci, Dept Econ, Tashkent, Uzbekistan
[5] Cyprus Univ, Fac Econ Adm & Social Sci, Dept Econ, Mersin 10, Famagusta, Turkiye
关键词
biomass energy; environmental sustainability; load capacity curve; natural resources; social globalization; SUSTAINABLE ECONOMIC-GROWTH; ENERGY-CONSUMPTION; CO2; EMISSIONS; ECOLOGICAL FOOTPRINTS; IMPACT; COINTEGRATION; GLOBALIZATION; CAUSALITY;
D O I
10.1111/1477-8947.12331
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Several developing markets, such as Brazil, Russia, India, China, and South Africa (BRICS), are facing challenges in attaining the targets set with regard to the Sustainable Development Goals (SDGs). While previous studies have extensively examined the Environmental Kuznets Curve in BRICS nations, focusing on other proxy of environmental degradation like CO2 emissions and ecological footprint, little attention has been given to the Load Capacity Curve (LCC) hypothesis specifically in relation to emerging economies. Consequently, there exists a gap in the literature regarding the validation of the LCC hypothesis for these economies. To bridge this gap, our research intends to assess the validity of the LCC hypothesis in the context of the BRICS countries. Specifically, we investigate the impact of biomass energy and social globalization on the load capacity factor (a proxy for ecological quality) in the BRICS countries from 1990 to 2018, while considering the roles of economic growth and natural resources. Additionally, we explore the development of an SDG framework tailored for the BRICS nations, which can serve as a blueprint for other emerging economies. To analyze the data, we employ the Method of Moments-Quantile-Regression (MMQR) approach along with long-run estimators. The findings of the MMQR analysis reveal that natural resources, social globalization, and gross domestic product have adverse effects on ecological quality, while biomass energy exhibits a positive influence on ecological quality. Furthermore, our research validates the LCC hypothesis for the BRICS economies. We also observe evidence of causality between the load capacity factor and its determinants. Based on our investigation, we recommend a transition in energy policies from hydrocarbon energy to sustainable energy options by implementing innovative approaches to biomass technology that can enhance conversion efficiency. Implementing these policy changes will not only enhance ecological quality but also align the SDG targets.
引用
收藏
页码:525 / 548
页数:24
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