Do green innovation and financial globalization contribute to the ecological sustainability and energy transition in the United Kingdom? Policy insights from a bootstrap rolling window approach

被引:136
|
作者
Ramzan, Muhammad [1 ,2 ]
Razi, Ummara [3 ]
Quddoos, Muhammad Umer [4 ]
Adebayo, Tomiwa Sunday [5 ]
机构
[1] Shandong Univ Finance & Econ, Sch Int Econ & Trade, Jinan 250014, Shandong, Peoples R China
[2] Univ Sialkot, Fac Management & Adm Sci, Dept Commerce, Sialkot, Pakistan
[3] ILMA Univ, Fac Management Sci, Dept Business Adm, Karachi, Pakistan
[4] Bahauddin Zakariya Univ, Dept Commerce, Fac Commerce Law & Business Adm, Multan, Pakistan
[5] Cyprus Int Univ, Fac Econ & Adm Sci, Dept Econ, Mersin, Turkey
关键词
bootstrap rolling-window causality; ecological footprint; energy transition; environmental tax; financial globalization; green innovation; CARBON EMISSIONS REDUCTION; RENEWABLE ENERGY; CO2; EMISSIONS; TECHNOLOGICAL-INNOVATION; ECONOMIC-GROWTH; ENVIRONMENTAL-QUALITY; DIOXIDE EMISSIONS; TRADE OPENNESS; KUZNETS CURVE; GAS EMISSIONS;
D O I
10.1002/sd.2399
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
Environmental sustainability and energy transition, especially the renewable energy transition, have become critical concerns of nations throughout the world in recent decades. The sustainable and eco-friendly technologies have led to more sustainable methodologies, substantial stewardship of our natural resources, and the conversion to renewable energy sources, all of which have been demonstrated to benefit the environment significantly. However, prior studies have overlooked the ecological sustainability and energy transition effects of green technology innovation. Therefore, this study endeavored to investigate the role of green innovation (lnGRN) and financial globalization (lnFIG) on the sustainability of the environment (lnEFT) and energy transition (lnENT) in the United Kingdom using quarterly data for the period from 1995 to 2020. The study applied the time-varying (bootstrapping) rolling window technique, which can retrieve casual associations among variables at different periods of sub-samples. Besides this, the method is advantageous for addressing the non-consistency of parameters and eliminating the pre-test distortion. The novel Bootstrap Rolling-Window full-sample causality technique results demonstrate that lnGRN and lnFIG have unidirectional causality toward lnEFT and lnENT. Furthermore, the bootstrap rolling-window subsamples in the final stage indicate that lnGRN and lnFIG mitigate lnEFT, whereas lnGRN and lnGDP enhance energy transition. On the other hand, lnGDP and lnETX contribute to environmental deterioration, while lnFIG hinders the energy transition. Several important policy implications are derived from the results to encourage financial globalization, green innovation technologies, renewable energy resources consumption, and environmental taxes.
引用
收藏
页码:393 / 414
页数:22
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