Probing environmental sustainability pathways in G7 economies: the role of energy transition, technological innovation, and demographic mobility

被引:18
作者
Ibrahim, Ridwan Lanre [1 ]
Al-mulali, Usama [2 ]
Solarin, Sakiru Adebola [3 ]
Ajide, Kazeem Bello [1 ]
Al-Faryan, Mamdouh Abdulaziz Saleh [4 ]
Mohammed, Abubakar [5 ]
机构
[1] Univ Lagos, Dept Econ, Lagos 100213, Nigeria
[2] Fac Business Sohar Univ, Sohar, Oman
[3] Univ Nottingham Malaysia, Semenyih, Malaysia
[4] Univ Portsmouth, Fac Business & Law, Sch Accounting Econ & Finance, United Kingdom & Consultant Econ & Finance, Richmond Bldg,Portland St, Riyadh PO1 3DE, Saudi Arabia
[5] Univ Roehampton, Fac Business & Law, London E16 2RD, England
基金
英国科研创新办公室;
关键词
Economic growth; Population growth; Natural resources; Energy consumption; Technology; CO2; emissions; NATURAL-RESOURCES;
D O I
10.1007/s11356-023-27472-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Global warming remains the most devastating environmental issue embattling the global economies, with significant contributions emanating from CO2 emissions. The continued rise in the level of greenhouse gas (GHG) emissions serves as a compelling force which constitutes the core of discussion at the recent COP26 prompting nations to commit to the net-zero emission target. The current research presents the first empirical investigation on the roles of technological advancement, demographic mobility, and energy transition in G7 pathways to environmental sustainability captured by CO2 emissions per capita (PCCO2) from 2000 to 2019. The study considers the additional impacts of structural change and resource abundance. The empirical backings are subjected to pre-estimation tests consisting of cross-sectional dependence, second-generation stationarity, and panel cointegration tests. The model estimation is based on cross-sectional augmented autoregressive distributed lag, dynamic common correlated effects mean group, and augmented mean group for the main analysis and robustness checks. The findings reveal the existence of EKC based on the direct and indirect effects of the components of economic growth. The indicators of demographic mobility differ in the direction of influence on PCCO2. For instance, while rural population growth negatively influences PCCO2 in the short-run alone, urban population growth increases PCCO2 in the short-run and long-run periods. Nonrenewable energy, information computer technology (ICT) imports, and mobile cellular subscriptions serve as positive predictors of PCCO2, while ICT exports and renewable energy moderate the surge in PCCO2. Policy implications that enhance environmental sustainability are suggested following the empirical verifications.
引用
收藏
页码:75694 / 75719
页数:26
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