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Purpose: This chapter explores the changing global dynamics of employability and the current skill gaps among college students. Employability is defined as the measure of how desirable an individual is in the workforce, that is, their skills and knowledge. This chapter is centred on the students’ existing skills, missing skills, and the skill requirements of different industries.

Methodology: For this study, both primary and secondary data have been collected. Case studies have been used to analyse the skill gaps among students and industry requirements. Primary data has been collected from Indian students and case studies from other countries.

Findings: After conducting primary surveys and analysing case studies, we were able to conclude that there are serious skill gaps among students – especially in industries related to new emerging technologies. Educational institutes are not keeping pace with technological changes, and, in some cases, are not taking care of students’ interests. This is a serious problem for unemployed youth around the world.

Practical Implications: This chapter will help design the curriculum, addressing core issues of skill shortages in the labour market in developing and underdeveloped countries, decreasing the labour shortage and increasing employment, and helping countries’ national income.

Significance: This study is important as it addresses the issue of unemployment by providing a clear understanding of the present needs of industries. Educational institutions and the government will be able to design the best curriculum and education policies to provide the youth with all the necessary skills to help them fulfil the needs of industries.

Environmental degradation is a global concern that results from massive economic activities. Carbon dioxide (CO₂) emissions are one of the environmental degradation indicators. This study investigates the impact of population, oil consumption, international tourist arrival, and corruption on CO₂ emissions in ASEAN’s five developing countries of Malaysia, Indonesia, Thailand, Philippines, and Vietnam from 1998 to 2017. This study employed panel Fixed-effect (FE) regression to estimate the panel data generated by British Petroleum and World Bank. The result revealed that the population has a significant positive effect on CO₂ emissions. Furthermore, oil consumption has a significant positive effect on CO₂ emissions. Meanwhile, the effect of tourism and the corruption perception index (CPI) as a proxy of corruption on CO₂ emissions was positive but not significant. Authorities should construct such policies to reduce CO₂ emissions by applying low-carbon technologies, green mass transport, and creating less corrupt behavior.