Nexus between Financial Development, Renewable Energy Consumption, Technological Innovations and CO2 Emissions: The Case of India

被引:98
|
作者
Qayyum, Muhammad [1 ]
Ali, Minhaj [2 ]
Nizamani, Mir Muhammad [3 ]
Li, Shijie [1 ]
Yu, Yuyuan [4 ]
Jahanger, Atif [2 ]
机构
[1] Hainan Univ, Sch Econ, Haikou 570228, Hainan, Peoples R China
[2] Zhongnan Univ Econ & Law, Sch Econ, Wuhan 430073, Hubei, Peoples R China
[3] Hainan Univ, Sch Life & Pharmaceut Sci, Haikou 570228, Hainan, Peoples R China
[4] Cent Univ Finance & Econ, Sch Int Econ & Trade, Beijing 102206, Peoples R China
基金
中国国家自然科学基金;
关键词
financial development; renewable energy; technological innovations; CO2; emissions; ARDL; India; ENVIRONMENTAL KUZNETS CURVE; CARBON-DIOXIDE EMISSIONS; ECONOMIC-GROWTH; EMPIRICAL-EVIDENCE; COINTEGRATION; IMPACT; TRADE; URBANIZATION; DEGRADATION; INCOME;
D O I
10.3390/en14154505
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Concerns regarding environmental sustainability have generally been an important element in achieving long-term development objectives. However, developing countries struggle to deal with these concerns, which all require specific treatment. As a result, this study explores the interaction between financial development, renewable energy consumption, technological innovations, and CO2 emissions in India from 1980 to 2019, taking into account the critical role of economic progress and urbanization. The Autoregressive Distributed Lag (ARDL) model is used to quantify long-run dynamics, while the Vector Error Correction Model is used to identify causal direction (VECM). According to the study's conclusions, financial development has a considerable positive impact on CO2 emissions. The coefficient of renewable energy consumption and technical innovations, on the other hand, is strongly negative in both the short and long run, indicating that increasing these measures will reduce CO2 emissions. Furthermore, economic expansion and urbanization have a negative impact on environmental quality since they emit a significant amount of CO2 into the atmosphere. The results of the robustness checks were obtained using the Fully Modified Ordinary Least Squares (FMOLS), the Dynamic Ordinary Least Squares (DOLS), and the Canonical Cointegration Regression (CCR) approaches to verify the findings. The VECM results reveal that there is long-run causality in CO2 emissions, financial development, renewable energy utilization, and urbanization. A range of diagnostic tests were also used to confirm the validity and reliability. This study delivers new findings that contribute to the existing literature and may be of particular interest to the country's policymakers in light of the financial system and its role in environmental issues.
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页数:19
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