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Enrolling in an academic discipline or selecting the college major choice is a dynamic process. Very few studies examine this aspect in India. This paper makes a humble attempt to fill this gap using NSSO 71st round data on social consumption on education. The purpose of this paper is to use multinomial regression model to study the different factors that influence course choice in higher education. The different factors (given the availability of information) considered relate to ability, gender, cost of higher education, socio-economic and geographical location. The results indicate that gender polarization is apparent between humanities and engineering. The predicated probabilities bring out the dichotomy between the choice of courses and levels of living expressed through consumption expenditures in terms of professional and non-professional courses. Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities.

The present paper follows the same approach as that of Turner and Bowen (1999). The Multinomial regression is specified as P ( M i = j ) = ( exp ( β j × X i ) / ∑ j − 1 5 exp ( β j × X i ) ) , where P (M_i=j) denotes the probability of choosing outcome j, the particular course/major choice that categorizes different disciplines. This response variable is specified with five categories: such as medicine, engineering, other professional courses, science and humanities. The authors’ primary interest is to determine the factors governing an individual’s decision to choose a particular subject field as compared to humanities. In other words, to make the system identifiable in the MLR, humanities is treated as a reference category. The vector X_i includes the set of explanatory variables and β_j refers to the corresponding coefficients for each of the outcome j. From an aggregate perspective, the distribution of course choices is an important input to the skill (technical skills) composition of future workforce. In that sense, except humanities, the rest of the courses are technical-intensive courses; hence, humanities is treated as a reference category.

The results indicate that gender polarization is apparent between humanities and engineering. The predicated probabilities bring out the dichotomy between the choice of courses and levels of living expressed through consumption expenditures in terms of professional and non-professional courses. Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities.

Predicted probabilities of course choices bring in a clear distinction between south and west regions preferring engineering and other professional courses, whereas north, east and NES prefer humanities. This course and regional imbalance need to be worked with multi-pronged strategies of providing both access to education and employment opportunities in other states. But the predicted probabilities of medicine and science remain similar across the board. Very few research studies on the determinants of field choice in higher education prevail in India. Research studies on returns to education by field or course choices hardly exist in India. These evidences are particularly important to know which course choices can support student loans, which can be the future area of work.

The research evidence is particularly important to know which course choices can support student loans, which can be the future area of work, as well as how to address the gender bias in the course choices.

The paper has social implications in terms of giving insights into the course choices of students. These findings bring in implications for practice in their ability to predict the demand for course choices and their share of demand, not only in the labor market but also across regions. India has 36 states/UTs and each state/UT has a huge population size and large geographical areas. The choice of course has state-specific influence because of nature of state economy, society, culture and inherent education systems. Further, within the states, rural and urban variation has also a serious influence on the choice of courses.

The present study is a value addition on three counts. First, the choice of courses includes the recent trends in the preference over market-oriented/technical courses such as medicine, engineering and other professional courses (chartered accountancy and similar courses, courses from Industrial Training Institute, recognized vocational training institute, etc.). The choice of market-oriented courses has been examined in relation to the choice of conventional subjects. Second, the socio-economic background of students plays a significant role in the choice of courses. Third, the present paper uses the latest data on Social Consumption on Education.

Studying abroad is not new for Hong Kong students, especially those from the middle class. For a variety of reasons, traversing to Mainland universities has been an unconventional path confined mostly to students who pursued specific programs, or had family or social ties. Beginning in 2012, an admission scheme was launched for Hong Kong students applying to Mainland universities. The purpose of this paper is to review the admission scheme.

This paper draws on both quantitative and qualitative data sources. It includes statistics from official records of students’ application and enrollment figures, and documents obtained from multiple sources, as well as qualitative data through interviews of Hong Kong students who are studying in the Mainland universities.

The key findings are that since the implementation of the admission scheme, the number of applicants is rather stable irrespective of the changing socio-economic and political context. With the preferential treatment for Hong Kong students, low tuition fees, government financial assistance and scholarships, most students still consider studying in the Mainland a backup plan rather than a first choice. The academic performance of the students and academic/career aspirations have influenced their choice and decisions.

This paper contributes through providing both primary and secondary data to help understand the level of acceptance on the scheme since its implementation. It also reveals the perceptions of the students who have made their choice to study cross the border. In facing the emergent economic, socio-cultural and political challenges, some policies recommendations are proposed to boost the acceptance of the scheme. Moreover, it fills the research gap on student mobility from Hong Kong to Mainland China in the corpus of literature.

In recent years there has been a large increase of Higher education options in the United Arab Emirates. Emirati school leavers must choose among newly established institutions that provide unproven qualifications, at the same time as their society undergoes a rapid transformation. Online surveys were administered to female Emirati students in the first (n = 407) and second (n = 188) semester of the Zayed University general education program, to investigate entering student awareness and perceptions of the seven majors available. Respondents indicated they were motivated by a desire to learn, and had selected their institution for its high academic standards. Half thought they had already decided their major, and while most felt they had made the decision themselves, they were influenced mostly by their immediate family members. Business was ranked highest for potential salary and job availability, and was second only to International Studies for potential social status. All other majors effectively compete with Business for students. Student awareness of Health Sciences and International Studies lagged behind other majors, indicating a need for promotion and/or rebranding. Respondents expressed a clear desire for the introduction of Engineering, Medicine and Law to the course offerings.

This study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational tourism has been identified as a new tourism sub-sector with high potential, and is thus expected to boost economic growth and sustainability.

This study reviews the literature on the determinants of educational tourism demand. Even though the existing literature is intensively discussed, mostly focusing on the educational tourism demand from an individual consumer's perspective, this study makes an innovation in line with the aggregate demand view. The study uses data that consist of the enrolment of international students from 47 home countries who studied in Malaysia from 2008 to 2017. The study utilised the dynamic panel method of analysis.

This study affirms that income per capita, educational tourism price, price of competitor countries and quality of universities based on accredited programmes and world university ranking are the determinants of educational tourism demand in both the short and the long term. Also, a dynamic effect exists in educational tourism demand.

The results imply that government should take the quality of services for existing students, price decisions and QU into account to promote the country as a tertiary education hub and achieve sustainable development.

Research on the determinants of the demand for educational tourism is rare in terms of macro data, and this study includes the roles of QU, competitor countries and dynamic effects.