2023
DOI: 10.1108/ijccsm-04-2022-0051
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Increasing social resilience against climate change risks: a case of extreme climate affected countries

Abstract: Purpose Social development is the ultimate goal of every nation, and climate change is a major stumbling block. Climate Risk Index has documented several climate change events with their devastations in terms of lives lost and economic cost. This study aims to link the climate change and renewable energy with the social progress of extreme climate affected countries. Design/methodology/approach This research used the top 50 most climate-affected countries of the decade and estimated the impact of climate ris… Show more

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Cited by 12 publications
(7 citation statements)
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“…Along with handling autocorrelation and measurement error, FGLS can handle several sorts of model misspecification. Due to its ability to manage heteroskedasticity and autocorrelation using a cross-sectional specific variance–covariance matrix, this panel data model has been utilized to estimate marginal effects in several empirical studies (Ahmad et al, 2022; Arshed et al, 2022; Huang et al, 2023; Iqbal et al, 2023). In general, FGLS is a useful and often used statistical approach for dealing with heteroscedasticity and autocorrelation in regression analysis, allowing for a more accurate and reliable assessment of the relationship between variables.…”
Section: Methodsmentioning
confidence: 99%
“…Along with handling autocorrelation and measurement error, FGLS can handle several sorts of model misspecification. Due to its ability to manage heteroskedasticity and autocorrelation using a cross-sectional specific variance–covariance matrix, this panel data model has been utilized to estimate marginal effects in several empirical studies (Ahmad et al, 2022; Arshed et al, 2022; Huang et al, 2023; Iqbal et al, 2023). In general, FGLS is a useful and often used statistical approach for dealing with heteroscedasticity and autocorrelation in regression analysis, allowing for a more accurate and reliable assessment of the relationship between variables.…”
Section: Methodsmentioning
confidence: 99%
“…Rahman et al (2020) highlight a positive relationship between R&D, innovation, high-tech exports, and economic growth across 51 countries from 2001 to 2015, with long-term effects observed in high-income countries. Other scholars who have worked on innovation and technology are (Shabeer & Rasul, 2024b;Wang et al, 2023;Huang et al, 2023;Arshed et al, 2022;Gul et al, 2022).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Climate change necessitates continuous, increased, and urgent action on a continental scale. The effects of this change cannot be ignored because they are felt globally and impede economic and social progress (Yenneti et al 2016;Huang et al 2023). Left unattended, the unpredictable effects may continue harming humanity and delaying the achievement of the Paris Agreement, UN Sustainable Development Goals, and other related goals (Wright et al 2015;Santos et al 2022).…”
Section: Introductionmentioning
confidence: 99%