2023
DOI: 10.1007/s10584-023-03627-9
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Understanding the role of green finance and renewable energy consumption for sustainable development in ACI economies

Muhammad Awais Baloch,
Danish,
Zubeyde Senturk Ulucak
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Cited by 11 publications
(6 citation statements)
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“…Regarding issues with differences across groups, dependency in longitudinal data, and sequential correlation, Driscoll and Kraay [92] first presented the Driscoll-Kraay technique. This method works well with balanced and imbalanced datasets and can effectively handle missing values [93]. Additionally, it has shown accuracy and consistency in addressing cross-sectional dependence issues, producing robust standard errors [94].…”
Section: Driscoll-kraay Standard Errormentioning
confidence: 92%
“…Regarding issues with differences across groups, dependency in longitudinal data, and sequential correlation, Driscoll and Kraay [92] first presented the Driscoll-Kraay technique. This method works well with balanced and imbalanced datasets and can effectively handle missing values [93]. Additionally, it has shown accuracy and consistency in addressing cross-sectional dependence issues, producing robust standard errors [94].…”
Section: Driscoll-kraay Standard Errormentioning
confidence: 92%
“…The enlargement of the financial sector can facilitate businesses in more efficiently accessing green financial resources at reduced expenses, thereby fostering green business outcomes and aiding companies in expanding their current green business scope while diminishing their dependence on conventional energy sources [37]. Financial structure promotes the advancement of eco-friendly technology innovation, while financial magnitude and effectiveness exert an adverse impact on the innovation of green technologies [38].…”
Section: Related Research On the Impact Of Financial Development On G...mentioning
confidence: 99%
“…The preceding steps encourage the use of the standard error approach for long-run coefficient analysis proposed by Driscoll and Kraay (DK) [46]. Since it produces a robust estimate using the average values in the hetro-autocorrelation, it is a more suitable method in the case of cross-sectional dependency [47]. The DK method also has several other benefits.…”
Section: Driscoll and Kraay For Long Effectsmentioning
confidence: 99%