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Exploring the Impact of Women Governance on CO2 Emissions in the European Union and Central Asia

Roula Inglesi-Lotz, Anna Maria Oosthuizen, Sharifa Jumaniyazova, Bekhzod Kuziboev and Jie Liu
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Anna Maria Oosthuizen: Department of Economics, University of Pretoria, Hatfield 0028, Pretoria, South Africa
Sharifa Jumaniyazova: Department of Economics, Urgench State University, Urgench, 220100, Uzbekistan
Bekhzod Kuziboev: Department of Economics, Urgench State University, Urgench, 220100, Uzbekistan; & University of Tashkent for Applied Sciences, Str. Gavhar 1, Tashkent 100149, Uzbekistan; & Department of Trade, Tourism and Languages, University of South Bohemia, Studentská 13, 37005 Ceske Budejovice, Czech Republic
Jie Liu: Center for Energy Environmental Management and Decision-Making, China University of Geosciences, Wuhan, 430074, China; & School of Economics and Management, China University of Geosciences, Wuhan, 430074, China

International Journal of Energy Economics and Policy, 2024, vol. 14, issue 3, 639-646

Abstract: The study is novel to contribute to the literature investigating the relationship among CO2 emissions, women governance, economic development, fossil fuel energy consumption and renewable energy consumption, using a balanced panel dataset of 27 European Union and 4 Central Asian countries over the period 1996-2020. As econometric tools, panel quantile and threshold regression models are employed. Overall, the quantile results document that women governance help to mitigate climate change both in European Union and Central Asia. Moreover, threshold findings suggest that women governance negatively impact on CO2 emissions in European Union and Central Asia when economic growth is higher than 9.903 percent. Policy implications are proposed to enhance women governance in European Union and Central Asia.

Keywords: Women Governance; CO2 Emissions; Quantile Regression; Threshold Regression; European Union; Central Asia (search for similar items in EconPapers)
JEL-codes: Q43 Q53 (search for similar items in EconPapers)
Date: 2024
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