2022
DOI: 10.1016/j.renene.2021.12.113
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Do export diversification and stock market development drive carbon intensity? The role of renewable energy solutions in top carbon emitter countries

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Cited by 52 publications
(11 citation statements)
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“…Finally, panel ARDL models are applied in order to analyse the relationship in the short and long terms of the variables. These allow us to examine the coefficients of the variables in the long term and examine their economic implications (Zhang et al 2022 ; Sharma and Kautish 2020 ). Dynamic mean group (MG) and pooled mean group (PMG) estimators are used.…”
Section: Resultsmentioning
confidence: 99%
“…Finally, panel ARDL models are applied in order to analyse the relationship in the short and long terms of the variables. These allow us to examine the coefficients of the variables in the long term and examine their economic implications (Zhang et al 2022 ; Sharma and Kautish 2020 ). Dynamic mean group (MG) and pooled mean group (PMG) estimators are used.…”
Section: Resultsmentioning
confidence: 99%
“…In order to undertake panel regression analysis, we first tested the stationarity of the variables (Im et al, 2003; Zhang et al, 2022). Since Table 5 reveals cross-sectional dependency, the first-generation unit root test cannot be relied upon (Pesaran, 2007).…”
Section: Empirical Results and Discussionmentioning
confidence: 99%
“…Non-financial information includes qualitative information related to firms’ policies, strategies, actions towards business, environmental and social objectives of the company. With rising awareness of emerging business challenges, now investors, regulators and other related stakeholders begin to understand the usefulness of sustainability disclosures by the firms (Rezaee & Tuo, 2019; Jiao et al, 2021; Zhang et al, 2022). In such a case, it becomes important for firms to communicate additional non-financial information that complements the mandatory financial disclosures to improve firm value (Fatemi et al, 2018).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Using data from 1990 to 2018 and the pool means group technique and ARDL method, they found that carbon intensity in these countries is significantly reduced due to increased renewable energy. Similarly, Zhang et al (2022) used data from nine top carbon-emitting countries to investigate if renewable energy can solve the issue of carbon intensity in these countries. Using modern econometric techniques, they found that carbon intensity is significantly reduced by increased use of renewable energy.…”
Section: Literature Reviewmentioning
confidence: 99%