This article investigates the effect of academic majors on entrepreneurial intentions of engineering and business students. The research model was established based on the extension of the theory of planned behavior (TPB) through combining the TPB model, perceived risks, academic majors and personalities of students. A sample of 1844 students from the four largest universities in engineering and business in Vietnam were surveyed. The main findings indicated that (i) the relationship in the TPB model was accepted except the effect of subjective norms on entrepreneurial intentions; (ii) perceived risks have negative impacts on perceived behavioral control; (iii) male engineering students have a higher entrepreneurial intentions than female students, but this result was not found in business students; (iv) engineering students have a higher entrepreneurial intentions than business students; (vi) there are no differences between the entrepreneurial intention of students coming from rural and urban areas. The study also contributes to some policy discussion to extend the current debate about the role of academic majors that students take in university in the entrepreneurial process as well as the importance of entrepreneurial students to society.

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Poverty is a global issue and a lot of attention and efforts of the international community have been made to deal with this problem. Especially in the context of the COVID-19 pandemic, when a part of the population could fall into poverty due to rising unemployment and income deduction, identifying the factors affecting poverty becomes particularly important. Financial inclusion has been recognized as one important factor affecting poverty reduction. This research is conducted to investigate the impact of financial inclusion and other control variables on poverty reduction. The study employs Principal Component Analysis (PCA) to build a financial inclusion index. Using 2SLS and the GMM regressions for a panel data of 29 European countries during the period from 2011 to 2017, the results show that financial inclusion has a negative impact on poverty at all three poverty lines of USD1.9, 3.2, and 5.5 per day. The proportion of the population aged 15–64 and the ratio of service employment to the total number of employment also have a negative effect on all three levels of POV1.9, POV3.2, and POV5.5. In contrast, GDP per capita, trade openness and the proportion of the population aged from 25 with at least secondary school education have a positive impact on poverty at three levels of poverty. The results confirm that financial inclusion plays an important role in reducing poverty. The study provides a number of recommendations to governments to promote financial inclusion and reduce poverty in the countries.

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