2020
DOI: 10.1080/23251042.2020.1736364
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Gender inequality, reproductive justice, and decoupling economic growth and emissions: a panel analysis of the moderating association of gender equality on the relationship between economic growth and CO2 emissions

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Cited by 26 publications
(16 citation statements)
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References 62 publications
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“…Likewise, the estimated coefficients for gender inequality are +0.572 and-0.598, respectively, indicating that a 1% increase in gender inequality is expected to significantly reduce economic growth by 0.598%, while a 1% reduction in gender inequality can significantly boost economic growth by 0.572%. The finding of the negative and significant impact of gender inequality on economic growth is in good agreement with those of Kim et al (2018) , Altuzarra et al (2021) , Santos Silva and Klasen (2021) , McGee et al (2020) , Tisdell (2021) , Gavurova et al (2020) and Karoui and Feki (2018) . The Wald statistic confirms the long-run asymmetry by rejecting the null hypothesis that gender inequality and sex ratio at birth have symmetric effects on economic growth.…”
Section: Analysis Results and Interpretationsupporting
confidence: 79%
See 1 more Smart Citation
“…Likewise, the estimated coefficients for gender inequality are +0.572 and-0.598, respectively, indicating that a 1% increase in gender inequality is expected to significantly reduce economic growth by 0.598%, while a 1% reduction in gender inequality can significantly boost economic growth by 0.572%. The finding of the negative and significant impact of gender inequality on economic growth is in good agreement with those of Kim et al (2018) , Altuzarra et al (2021) , Santos Silva and Klasen (2021) , McGee et al (2020) , Tisdell (2021) , Gavurova et al (2020) and Karoui and Feki (2018) . The Wald statistic confirms the long-run asymmetry by rejecting the null hypothesis that gender inequality and sex ratio at birth have symmetric effects on economic growth.…”
Section: Analysis Results and Interpretationsupporting
confidence: 79%
“…Several studies have explored the relationship between gender inequality in education and economic growth. And earlier research has shown a positive link between the gender gap in education and economic growth ( Barro and Sala-i-martin 1995 ; Seguino, 2000 ; Baliamoune-Lutz and McGillivray, 2009 ; Elson, 2009 ; Klasen and Lamanna, 2009 ), and recent analyses reveal the adverse effects of gender disparities in education on economic growth, using newer data and more careful econometric techniques ( Karoui and Feki, 2018 ; Minasyan et al, 2019 ; Braunstein et al, 2020 ; McGee et al, 2020 ; Perrin, 2021 ; Santos Silva and Klasen, 2021 ; Girón and Kazemikhasragh, 2022 ). Notably, countries with the largest gender gaps lead to greater economic losses.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The moderation results found a U-shaped relationship between renewable energy and women's autonomy in a given period. The results are in line with the earlier studies of Terry [69], Ergas and York [70], Jerneck [71], Wang et al [72], and McGee et al [73]. These studies mainly provoked in favor of women empowerment that's resulting impact on tackling climate change issues.…”
Section: Step-v: Variance Decomposition Analysis (Vda)supporting
confidence: 89%
“…Wang et al [72] confined their study's findings in favor of females' share in the labor force, contributing to lower carbon emissions by acquiring education and political autonomy. McGeet et al [73], in a similar line, concluded that attaining social justice and gender equality interlinked with the environmental quality to support lowering negative environmental externalities globally.…”
Section: Step-v: Variance Decomposition Analysis (Vda)mentioning
confidence: 98%
“…Both the Human Development Index and level of democracy measures are controlled for, in accordance with similar analyses, for their potential to impact both women's role in society, and thus governance, as well as electricity access in general (Ergas & York, 2012;Lv & Deng, 2018;McGee et al, 2020;Nugent & Shandra, 2009;Salahodjaev & Jarilkapova, 2020). They are obtained from the Quality of Government dataset (Dahlberg et al, 2018).…”
Section: Independent Variable and Controlsmentioning
confidence: 99%