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Gender inequalities and climate change are global problems that concern the whole world. These two basic questions also have intersections with each other. Disruptions in natural life, usually due to human activities, lead to climate change over time. Climate change, on the other hand, deepens the already existing gender inequalities. Problems such as water scarcity, natural disasters, lack of access to clean water, and energy shortages are gender-responsive issues that affect women and men in different ways. All these factors, as supported in the literature, cause women to be in an even more disadvantageous position against climate change. One of the policy tools of states in the face of this problem is fiscal solutions. As a fiscal policy tool, government budgets can be used to eliminate the negative effects of climate change on women. This is called gender responsive climate budgeting (GRCB) in the literature. In order to apply GRCB, firstly sex-disaggregated data are required. In addition, institutional structures should be strengthened and strategic plans should be designed in a way that establishes the link between gender and climate change. This process should be carried out in a multistakeholder manner and the resources allocated for the financing of the problems should gain a gender-responsive structure.

This study aims to empirically examine the impact of gender-based inequalities in both education and employment on economic performance using the dataset of Turkey for the period 1975–2018.

This study employs Johansen cointegration tests to analyze the existence of a long-term relation among variables. Furthermore, dynamic ordinary least squares (DOLS) and fully modified ordinary least squares (FMOLS) estimation methods are performed to determine the long-run coefficients.

The findings from the Johansen cointegration analysis confirm that there is a long-term cointegration relation between variables. Moreover, DOLS and FMOLS results reveal that improvements in gender equality in both education and employment have a strong and significant impact on real gross domestic product (GDP) per capita in the long term.

The authors expect that this study will make remarkable contributions to the future academic studies and policy implementation, as it examines the relation among the variables by including the school life expectancy from primary to tertiary based on the gender parity index (GPI), the gross enrollment ratio from primary to tertiary based on GPI and the ratio of female to male labor force participation (FMLFP) rate.