The Energy Mix Dilemma and Environmental Sustainability: Interaction among Greenhouse Gas Emissions, Nuclear Energy, Urban Agglomeration, and Economic Growth

被引:52
作者
Rehman, Abdul [1 ]
Ma, Hengyun [1 ]
Radulescu, Magdalena [2 ,3 ]
Sinisi, Crenguta Ileana [4 ]
Paunescu, Loredana Maria [5 ]
Alam, Md Shabbir [6 ]
Alvarado, Rafael [7 ]
机构
[1] Henan Agr Univ, Coll Econ & Management, Zhengzhou 450002, Peoples R China
[2] Univ Pitesti, Dept Finance Accounting & Econ, Pitesti 110040, Romania
[3] Univ Lucian Blaga Sibiu, Inst Doctoral & Postdoctoral Studies, Bd Victoriei 10, Sibiu 550024, Romania
[4] Univ Pitesti, Dept Management & Business Adm, Pitesti 110040, Romania
[5] Univ Gas & Petr, Dept Cybernet, Bd Bucuresti 39, Ploiesti 100680, Romania
[6] Univ Bahrain, Coll Business Adm, Dept Econ & Finance, POB 32038, Zallaq, Bahrain
[7] Univ Espiritu Santo, Esai Business Sch, Samborondon 091650, Ecuador
关键词
GHG emissions; energy consumption; nuclear energy; economic growth; carbon emission; environment; RENEWABLE ENERGY; CO2; EMISSIONS; NONRENEWABLE ENERGY; CARBON EMISSIONS; DYNAMIC LINKS; PAKISTAN EVIDENCE; TIME-SERIES; CONSUMPTION; CHINA; COINTEGRATION;
D O I
10.3390/en14227703
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
In this paper we examined the interaction between greenhouse gas emissions, nuclear energy, coal energy, urban agglomeration, and economic growth in Pakistan by utilizing time series data during 1972-2019. The stationarity of the variables was tested through unit root tests, while the ARDL (autoregressive distributed lag) method with long and short-run estimations was applied to reveal the linkages between variables. A unidirectional association between all variables was revealed by performing a Granger causality test under the vector error correction model (VECM) that was extracted during the short-run estimate. Furthermore, the stepwise least squares technique was also utilized to check the robustness of the variables. The findings of long-run estimations showed that GHG emissions, coal energy, and urban agglomeration have an adversative association with economic growth in Pakistan, while nuclear energy showed a dynamic association with the economic growth. The outcomes of short-run estimations also show that nuclear energy has a constructive association with economic growth, while the remaining variables exposed an adversative linkage to economic growth in Pakistan. Similarly, the Granger causality test under the vector error correction model (VECM) outcomes exposes that all variables have unidirectional association. Furthermore, the outcomes of the stepwise least squares technique reveals that GHG emissions and coal energy have an adverse association with economic growth, and variables nuclear energy and urban agglomeration have a productive linkage to the economic growth in Pakistan. GHG emissions are no doubt an emerging issue globally; therefore, conservative policies and financial support are needed to tackle this issue. Despite the fact that Pakistan contributes less to greenhouse gas emissions than industrialized countries, the government must implement new policies to address this problem in order to contribute to environmental sustainability while also enhancing economic development.
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页数:21
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