2021
DOI: 10.1108/cfri-02-2021-0038
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Does green finance matter for sustainable entrepreneurship and environmental corporate social responsibility during COVID-19?

Abstract: PurposeThe discourse aimed to investigate green finance practices under the assumptions of several notable climate advisors and speculators in Asia and particularly in Southeast Asia. The study intrigues by considering financial specialists to vent government spending on green restoration plans leading toward green bankable venture openings for the public and private sector. This section distinguishes a few of the green fund components and approaches that can be joined by national and neighborhood governments,… Show more

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Cited by 154 publications
(53 citation statements)
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References 46 publications
(49 reference statements)
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“…However, causality was detected only in the short run in the case of India. Moreover, the study provided evidence that causality between economic growth and carbon emissions as well as carbon emissions and consumption of coal was bidirectional (Govindaraju and Tang 2013;Sadiq et al 2021b).…”
Section: Economic Growth and The Environmentmentioning
confidence: 91%
“…However, causality was detected only in the short run in the case of India. Moreover, the study provided evidence that causality between economic growth and carbon emissions as well as carbon emissions and consumption of coal was bidirectional (Govindaraju and Tang 2013;Sadiq et al 2021b).…”
Section: Economic Growth and The Environmentmentioning
confidence: 91%
“…About 481,700 fatalities were reported to be linked to household air pollution in 2017 in India;60,200 in Pakistan;20,500 in Afghanistan;72,400 in Bangladesh;13,300 in Bhutan;5687 in Maldives;and 121 in Bhutan (Chien et al 2021b;Chien et al 2021c;Chien et al 2021e;Sadiq et al 2021a). And over 50% of the population in the area is subjected to air pollution due both to strong household and national fuel consumption (Sadiq et al 2021b). The territory spans an area of 4% of the globe and 10.9% of the Asian continent, covering 2 million km 2 .…”
Section: Introductionmentioning
confidence: 99%
“…For example, QARDL helps to predict the impact of a set of explanatory variables on the dependent variable with the help of a low, medium, and higher-order quantiles (Jiang et al 2021;Liu et al 2021;Nawaz et al, 2021a, b;Shan et al 2021). Moreover, QARDL has various advantages, such as it allows investigating the relationships among constructs in long-term and short-run dynamics throughout "a span of quantiles of the conditional distribution" of understudy constructs (Mensi et al 2019;Othman et al 2020;Sadiq et al 2021b). In addition, it also allows for locational asymmetry among the constructs according to the location of the understudy constructs within its conditional distribution (Lahiani 2018;Sadiq et al 2021a;Xueying et al 2021).…”
Section: Methodsmentioning
confidence: 99%