Abstract
PurposeThe purpose of this study is to investigate whether aggregate and sectoral disbursement of aid for trade (AfT) facilitates achieving gender equality and women empowerment in aid-recipient developing countries for the period 2005–2019.Design/methodology/approachThe study develops static and dynamic panel data and empirical specifications and employs fixed effects and generalised method of moments (GMM) estimation techniques to estimate the impact of aggregate AfT and different categories of AfT on women empowerment. The study uses the Gender Inequality Index (GII) and Global Gender Gap Index (GGI) as the proxy measures of SDG-5, where the higher (lower) value of GII (GGI) implies higher gender disparities and lower women empowerment, and vice versa.FindingsThe study finds that aggregate AfT and aid disbursement for the development of economic infrastructure, productive capability building and trade policy and regulations contribute significantly to achieve women empowerment by reducing gender inequalities concerning the labour force and political participation, education enrolment and better healthcare and by increasing gender gap index in relation to economic participation, educational attainment, health and survival and political empowerment. The impact of aggregate AfT and its different categories is found significant only in low- and lower-middle-income developing countries. The findings also indicate that the impact of AfT is not noticeably different across different regions of the world as well as the religious belief of the developing countries.Practical implicationsThe study recommends that more allocation of gender-responsive AfT, whether aggregated or disaggregated, significantly helps women empowerment and assists developing economies to achieve SDG-5.Originality/valueThis study is one of the few that investigate the impact of aggregate AfT on gender inequality and women empowerment. This is the foremost study that examines the effects of each individual category of AfT on women empowerment vis-à-vis SDG-5.
Subject
General Social Sciences,Economics and Econometrics
Cited by
13 articles.
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