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The paper intends to identify the factors that determine the variations in the gender pay gap and female workforce participation at low-skill manufacturing job across Indian states over the time period 2006–2014.

Gender pay gap is measured in two ways: one is scale insensitive and second one is scale sensitive. To construct scale-sensitive gender pay gap measure wage discrimination index is used. For main analysis, a panel framework is used. Fixed effect model and random effect model are estimated along with all relevant diagnostic tests.

Empirical analysis elucidates that male literacy rate, female literacy rate and gender parity index are important factors in explaining the variation in gender pay gap and women workforce participation at sub-national level in India. Female literacy rate significantly reduces the crude pay gap; however, it has insignificant effect on scale-sensitive gender pay gap in low-skill manufacturing sector. Educational enrolment widens up the crude wage gap but narrows down the other one. In case of workforce participation educational attainment and school enrolment both reduce women workforce participation in low-skill manufacturing job.

The present research suffers from two major limitations. Due to lack of information, the paper is unable to study the impacts of female representation in trade unions, availability of supporting infrastructure like day-care facilities for working mothers, etc. in explaining the variation in gender pay gap and women workforce participation. The second limitation is that the research fails to address the issue related to selection into employment. The present paper uses the macro-level state-specific statistics instead of micro-level data; hence the imputed wage for unemployed but potential workers cannot be calculated.

The paper is unique in the sense that it highlights gender pay gap and female workforce participation issue in low-skill manufacturing sector at Indian sub-national level. There are no such papers that highlight these issues in the context of Indian manufacturing sector. Another contribution is that the present paper considers the scale-sensitive gender pay gap, whose determinants are different than crude gender pay gap.

The purpose of this study is to establish whether all the dimensions of entrepreneurship skills matter for sustainable business start-up among the youths, using evidence from a developing economy.

This was cross-sectional study which utilized a quantitative approach. Data were collected using a self-administered questionnaire from 254 youths who undertook skills training at the various government-supported business skills training centers in the Greater Kampala Metropolitan Area (GKMA), that is to say, Kampala, Mukono and Wakiso. Data collected were analyzed using the Statistical Package for the Social Sciences (SPSS) to derive descriptive, correlational and hierarchical regression.

Study findings indicate that unlike entrepreneurial skills, management, technical and personal maturity skills matter for the sustainability of business start-up of youths in Uganda. However, when all skills are compared, management skills matter most as compared to technical and personal maturity skills.

This study strengthens the existing literature on the sustainable business start-up of youths in Uganda. It is also relevant for policy decision-making and policy reversal because it demonstrates that skilling is pertinent and should be encouraged and rolled out across the country to encourage sustainable youth business start-ups. To increase sustainable business start-up among youths, management skills should be prioritized, together with technical and personal maturity skills, compared to entrepreneurial skills, which should only be emphasized at the idea generation, planning, resource mobilization and business implementation stages.

The purpose of this paper is to explore the factors that can facilitate agility in higher education and to analyze the interrelationship between the factors.

A structured model of factors facilitating agility in higher education was developed using total interpretive structural modeling (TISM). Cross-impact matrix multiplication (MICMAC) analysis helped in classifying the factors on the basis of their driving and dependency power.

An extensive literature review and expert opinion helped in identifying eight enablers that can promote agility in higher education. The ability to sense the environment, organizational structure, adoption of ICT, organizational learning, human resource strategies, leadership, readiness to change and collaboration with the stakeholders were the eight factors identified. The structural model revealed leadership as the most crucial enabler followed by human resource strategies and organizational structure.

The model has incorporated and prioritized all the crucial drivers of agility that can help universities and colleges design, adopt and implement policies and practices that would facilitate agility.

So far, the research on agility in higher education has looked into each factor in isolation. This research provides a comprehensive list of the factors and establishes the interplay between the factors making this study new and original.