Dynamic prognostic interaction between social development and energy consumption optimization: Evidence from european union member countries

被引:12
作者
Abbas, Khizar [1 ]
Butt, Khalid Manzoor [2 ]
Xu, Deyi [1 ]
Baz, Khan [1 ]
Sheraz, Muhammad [1 ]
Kharl, Sanwal Hussain [2 ]
机构
[1] China Univ Geosci, Sch Econ & Management, Lumo Rd 388, Wuhan, Peoples R China
[2] Univ Cent Punjab, Fac Humanities & Social Sci, Lahore, Pakistan
关键词
Energy consumption optimization; Urbanization; Education; ICT; R&D health; ECONOMIC-GROWTH; RENEWABLE ENERGY; ENVIRONMENTAL-QUALITY; PANEL-DATA; URBANIZATION; EDUCATION; COINTEGRATION; IMPACT; MODEL; PERFORMANCE;
D O I
10.1016/j.energy.2023.127791
中图分类号
O414.1 [热力学];
学科分类号
摘要
Analyzing optimization of energy use becomes only possible when their interactions with the indicators of social development are properly estimated. The study employed the panel VAR and impulse response functions to investigate this causal interaction by analyzing panel data from 27 EU countries. The results reveal that a 1% increase in renewable energy consumption contributes to raising life expectancy, fertility and education by 2.20%, 1.27% and 2.11% respectively. However, a 1% surge in fossil fuel utilization contributes to lower life expectancy and fertility by 0.66% and 2.76% and gives rise to education by 0.33%. Reciprocally, fertility, ed-ucation and research and development contribute to renewable energy utilization by 1.75%, 2.82% and 3.34% respectively whereas research and development contribute to decreasing fossil fuel combustion by 3.57%. Lastly, urbanization and internet subscriptions were found to have no statistically significant interaction with energy use, inferring that these social factors do not contribute to energy use. Therefore, this study urges policymakers to invest in the education sector and research and development to achieve sustainable socio-economic development by simultaneously optimizing energy consumption and increasing the overall share of renewable energy by diversifying its production from green energy sources (solar, wind and hydro) in the EU countries.
引用
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页数:12
相关论文
共 106 条
[21]   The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach [J].
Cho, Youngsang ;
Lee, Jongsu ;
Kim, Tai-Yoo .
ENERGY POLICY, 2007, 35 (09) :4730-4738
[22]  
Coale AJ, 2017, The decline of fertility in Europe, DOI [10.1515/9781400886692, DOI 10.1515/9781400886692]
[23]   Testing for cross-sectional dependence in panel-data models [J].
De Hoyos, Rafael E. ;
Sarafidis, Vasilis .
STATA JOURNAL, 2006, 6 (04) :482-496
[24]   On the nonlinear relationship between energy consumption and economic and social development: evidence from Henan Province, China [J].
Deng, Fangzhao ;
Li, Hujun ;
Yang, Meng ;
Zhao, Wenjie ;
Gai, Zhiqiang ;
Guo, Yunxia ;
Huang, Jingwen ;
Hao, Yu ;
Wu, Haitao .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (25) :33192-33207
[25]  
European Commission, 2023, Energy outlook for Europe: outlines key priorities for 2023. Energy outlook 2023 priorities, P2
[26]  
European Environmental Agency, 2018, REN EN EUR REC GROWT, DOI [10.2800/03040, DOI 10.2800/03040]
[27]  
Eurostat, LIF EXP EU REG 2020
[28]   The impacts of higher education institutions on sustainable development A review and conceptualization [J].
Findler, Florian ;
Schoenherr, Norma ;
Lozano, Rodrigo ;
Reider, Daniela ;
Martinuzzi, Andre .
INTERNATIONAL JOURNAL OF SUSTAINABILITY IN HIGHER EDUCATION, 2019, 20 (01) :23-38
[29]  
France IEA, 2021, EN POL REV, P2021