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

被引:11
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
收藏
页数:12
相关论文
共 105 条
  • [21] Dynamic common correlated effects of technological innovations and institutional performance on environmental quality: Evidence from East-Asia and Pacific countries
    Chaudhry, Imran Sharif
    Ali, Sajid
    Bhatti, Shaukat Hussain
    Anser, Muhammad Khalid
    Khan, Ahmad Imran
    Nazar, Raima
    [J]. ENVIRONMENTAL SCIENCE & POLICY, 2021, 124 : 313 - 323
  • [22] The impact of ICT investment and energy price on industrial electricity demand: Dynamic growth model approach
    Cho, Youngsang
    Lee, Jongsu
    Kim, Tai-Yoo
    [J]. ENERGY POLICY, 2007, 35 (09) : 4730 - 4738
  • [23] Coale AJ, 2017, The decline of fertility in Europe, DOI [10.1515/9781400886692, DOI 10.1515/9781400886692]
  • [24] Testing for cross-sectional dependence in panel-data models
    De Hoyos, Rafael E.
    Sarafidis, Vasilis
    [J]. STATA JOURNAL, 2006, 6 (04) : 482 - 496
  • [25] On the nonlinear relationship between energy consumption and economic and social development: evidence from Henan Province, China
    Deng, Fangzhao
    Li, Hujun
    Yang, Meng
    Zhao, Wenjie
    Gai, Zhiqiang
    Guo, Yunxia
    Huang, Jingwen
    Hao, Yu
    Wu, Haitao
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (25) : 33192 - 33207
  • [26] European Commission, EN OUTL EUR OUTL KEY, P2
  • [27] European Environmental Agency, 2018, REN EN EUR REC GROWT, DOI [10.2800/03040, DOI 10.2800/03040]
  • [28] Eurostat, LIF EXP EU REG 2020
  • [29] The impacts of higher education institutions on sustainable development A review and conceptualization
    Findler, Florian
    Schoenherr, Norma
    Lozano, Rodrigo
    Reider, Daniela
    Martinuzzi, Andre
    [J]. INTERNATIONAL JOURNAL OF SUSTAINABILITY IN HIGHER EDUCATION, 2019, 20 (01) : 23 - 38
  • [30] France IEA, 2021, EN POL REV, P2021