Making a right choice for tertiary level education is very crucial. This paper aims to uncover the factors that students deem crucial related to their preference of higher education institutions and desired courses. Cross sectional survey design was adopted for this study. A total of 287 data (124male, 163 females; age range 18-38 year) of first year undergraduate students were collected from four government colleges under Royal University of Bhutan. Stratified random sampling technique was used to collect structured questionnaire based on 5-point Likert scale. The study applied simple descriptive statistics and multiple linear regression model to verify the importance given by students to the influencing factors and predict the relationship between the predetermined factors and students’ choice of higher education institutions. Results showed a model fit R value of 0.678 and the Durbin Watson test statistic was 1.723. Factors including student attribute, social influence, financial aid, and higher institute characteristics all were identified to have a positive influence on the students’ preference of higher education institution choice. Strategies like promotion of the higher education institution need to be emphasized through various media channels to strengthen effective recruitment in higher education institution.
This research paper aims to investigate the impact of smartphone addiction on the academic performance of higher education institutions students. Primary data (n=500) was collected from students under five departments using simple random sampling technique. Smartphone Addiction Inventory Scale (SPAI) and multiple logistic regression method was employed in the study. Results show that factors like age, age of first-time smartphone use were found to be statistically significant and positively associated with college students’ academic performance. The paper presents supporting evidence to higher education institutions authorities to design a strategy for the interventions in higher education institutions to enhance academic performance of students who are very vulnerable to excessive smartphone users.
Sustainable growth in domestic food production cannot just depend on mobilizing its factor resources but will also require higher productivity growth. This paper aims to study the total factor productivity (TFP) of rice in Bhutan for the period 2009-2010 to 2016-2017. The study employs non-parametric Malmquist index approach to measure TFP growth and decompose into efficiency and technical change. In addition, panel data model is applied to determine the factors influencing changes in TFP growth. The results show that average annual Malmquist productivity growth was only slightly positive, mainly propelled by technological change. The analysis of the factors determining TFP changes suggested that irrigation and population are the key to sustaining long-term rice TFP growth.
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