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The purpose of this paper is to develop and test theory-driven hypotheses on the influence of corruption and gender inequality on logistics performance.

This paper develops hypotheses based on a review of the literature and theory linking corruption, gender inequality and logistics performance. Testing the hypotheses draws on the following secondary data sources: the World Bank Logistics Performance Index, Transparency International’s Corruption Perceptions Index and the United Nations Development Programme Gender Inequality Index. Regression analysis is used to test the hypotheses.

A significant direct effect is evident between corruption perceptions and perceived logistics performance. Corruption is detrimental to logistics. Further, there is evidence of an indirect effect, via gender inequality. Gender inequality is also linked directly to lower logistics performance. Gross domestic product/capita enters the analysis as a control variable.

While the analysis uses secondary data, sources are credible and their methods – while not perfect – are logical and appear to be reasonable. It is possible that excluded variables could further explain the relationships under study. This implies future research opportunities, perhaps involving case studies of specific nations.

The results should inspire businesses, non-governmental organizations and governments to invest in, aid, advocate for and legislate toward greater gender equality – and against corruption. Logistics educators have an important role in disseminating this message.

Gender inequality and corruption are current, global social issues. Moving forward toward equality and away from corruption are the right moves. Such moves appear to also yield better logistics.

This paper is among the first linking corruption and gender inequality to logistics performance. It shows how social issues impact logistics performance at a national level.

In the post-WTO era, the volume of international trade has grown in a good amount in India. At the same time, the continuous lowering and removing of the trade barriers of different forms create several impacts on poverty and inequality. In this chapter, we tried to capture the issues of inequality, specially the gender inequality, which has worsened a lot in the last two decades. In one side, trade openness enhanced the growth, but at the cost of increasing inequality. Theil index and Atkinson index both show an increasing trend of inequality. The Gender Inequality Index (GII) and the Inequality-adjusted Human Development or Gender Development Indices are also showing increasing inequality. The state-wise analysis of such inequality indices is varying a lot over the study period. This chapter throws some insight into these issues and concludes that in the post-WTO era income inequality has increased a lot with a very few exceptions. In some states (like Maharashtra, Gujarat, Karnataka, and Punjab) only export have increased the employment in the unorganized sectors. The study concludes that exports have generated additional employment and incomes in the economy, but these gains have not trickled down to the poor. The study is confined to Indian cases only and covers the time period 2000–2001 to 2018–2019.

The purpose of this paper is to argue that culture and context (policy and environment) are key factors affecting gender inequalities within and across countries.

This paper applies conceptual and descriptive statistics.

The authors found evidence of increasing gender equality in the workplace, but only for rich countries. Gender inequalities persist in the poorest countries, and the gap between rich and poor countries appears to be widening not narrowing.

This paper demonstrates the need for a comprehensive research program on gender and international business.

The authors provided useful statistics that could possibly be picked up by newspapers. The paper also highlights the need for a more sustained research program on gender and development.

This paper demonstrates that the public perception of increasing gender equality applies only in very high development (rich) countries. In fact, gender inequality rises as economic development levels decline across countries, and the gap between very high and low countries has widened over the past 15 years.

The empirical findings with respect to gender inequality across United Nations Development Program country categories over time are, to the best of the authors’ knowledge, novel and original. Relating the gender inequality gap to culture and context highlights the roles that social issues and the environment play in affecting gender inequality across countries and across time.

The objectives of this study are threefold: firstly, to measure the impact of educational inequality on income inequality, and per capita income; secondly, to measure the impact of gender inequality in education on income inequality, per capita income and educational inequality; and lastly, to test the Kuznets inverted U-shape hypothesis between inequality in education and average year of schooling.

The study has adopted the Marin and Psacharopoulos (1976) model of human capital in which income earned by an individual can be estimated as a function of number of year spent in schooling or education. Gini coefficient is used as a measure of income inequality, while inequality in education is measured by Gini index of educational inequality. Gender inequality in education is measured by the difference between male and female enrolment ratios as a proportion of male enrolment. The study utilizes the data of six South Asian countries, i.e. Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka from 1980 to 2010 at five-year average and employs fixed effect model (FEM) and random effect model (REM) for estimation.

Result suggests that educational inequality and average year of schooling have positive and significant impact on income inequality. Primary (basic) education and tertiary (higher) education reduce income inequality, while secondary education widens income inequality. Negative relationship exists between educational inequality and per capita income. Unequal distribution of education among boys and girls at primary level increases income inequality, while reduces income inequality at tertiary level. Gender inequality in secondary and tertiary level of education reduces per capita income, while unequal distribution of education among boys and girls further increases the educational inequality. Kuznets inverted U-shape hypothesis does not hold between education expansion and educational inequality, while weak U-shape relationship exists in South Asian countries.

Government has to provide free education in poor regions and makes employment programs to reduce the income and educational inequality respectively, while to remove gender inequality in education it is necessary to build more schools especially for girls. Government has to launch different online education programs for expansion in education at all levels.

This study adds to the literature by analyzing whether the inequality in income increases (decreases) due to increase (decrease) in educational and gender inequality in South Asian countries. This study contributes in the existing literature by developing a measure of educational and gender inequality in education in South Asian countries.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2020-0226.

Human development encompasses not only income, other factors of life such as education and health are equally important. Investments in education and health positively impact the development of any region. Therefore, development in general and human development in particular of a region highlights not only the application of income but also the (actual) living conditions of people. It should also focus on the living conditions of women. This can somehow be assessed by looking at the Gender Development Index (GDI), introduced by the UNDP in 1995 as the intital Human Development Index (HDI) did not address gender-related issues. The present study thus tries to examine gender inequality in terms of education and health in the North Bengal region as it can have adverse effects on the overall development in the region. The study relies on the available secondary data on education and health. It is imperative that we realize the need to narrow the gender gap for development to be inclusive as investing in women's education and health can contribute to holistic economic growth and development.

One of the main sustainable development goals (SDGs) highlights gender equality. Gender inequality is usually measured through the Gender Inequality Index (GII) based on three main dimensions, namely, (1) economy, (2) social empowerment, and (3) reproductive health, as demonstrated by death ratio and fertility rates. The aim is to formulate a model for women’s empowerment towards achieving the SDGs. Specifically, the objectives include (1) comparing gender inequality levels among ASEAN countries and (2) analyzing regulations on gender and development perspectives in Indonesia. This research used the mixed method and panel data, namely analyzing gender inequality.

The results show that, in the common effect model, all variables affected the participation of women in the workforce. The analysis shows that the enactment of laws and regulations on gender mainstreaming has an impact on reducing gender inequality and increasing various indicators of gender mainstreaming, especially in increasing the participation of women in the workforce.

The measurement and comparison across countries of female conditions in labour market and gender gap in employment is a very complex task, given both its multidimensional nature and the different scenarios in terms of economic, social and cultural characteristics. The paper aims to discuss these issues.

At this aim, different information about presence and engagement of women in labour market, gender pay gap, segregation, discrimination and human capital characteristics was combined and a ranking of 26 European countries is proposed through the composite indicator methodology. It satisfies the need to benchmark national gender gaps, grouping together economic, political and educational dimensions.

The results show that female conditions in labour market are the best in Scandinavian countries and Ireland while many Eastern and Southern European countries result at the bottom of classification.

In order to take into account the subjectivity of some choices in composite indicator construction and to test robustness of results, different aggregation techniques were applied.

The authors hope that this new index will stimulate the release of a sort of best practices useful to close labour market gaps, starting from best countries’ scenarios, and the launching of pilot gender parity task forces, as it happened with the Global Gender Gap Index in some countries. Finally, relating gender gap indexes with country policies frameworks for gender inequalities and the connected policy outcomes, it is possible to evaluate their effectiveness and to identify the most adequate initiatives to undertake because policies reducing gender gaps can significantly improve economic growth and standard of living.

The analysis gives a contribution in the evaluation of the policies and regulations effectiveness at national level considering the existing welfare regimes and the associated gaps in labour market. It can help policy makers to understand the ramifications of gaps between women and men. The Gender Gap Labour Market Index is constrained by the need for international comparability, but limiting its analysis to European countries; it has been based on ad hoc indicators concerning developed economies and could be readily adapted for use at the national and local levels.

In this paper the authors propose a new composite indicator index specifically focused on gender gap in labour market. Several papers analysed gender differences in wages, employment or segregation, but few of them consider them together, allowing to get a satisfactory informative picture on gender inequalities in labour market and studying in deep its multiple aspects, including discrimination indicators ad hoc calculated, giving to policy makers an useful tool to evaluate female employees conditions and put them in relation with the different input factors existing within each country.