To provide policy implication for improving household welfare, one should understand which characteristics of households in a specific location they live, enable them to raise their welfare levels. This paper uses micro-econometric models for investigating the determinants of household welfare...

This study examines the relationship between the access to homebuyer credits and housing satisfaction among those buying affordable apartments, using a sample of 1,000 respondents from our own survey in 2016 in Hanoi, Da Nang and Ho Chi Minh Cities. Our regression analysis reveals the education...

Based on contingency theory in the study of strategic management accounting, this study examines the internal and external contingencies of the organization that affect the application of strategic management accounting (SMA) in Vietnamese manufacturing enterprises. Using qualitative and...

Based on contingency theory in the study of strategic management accounting, this study examines the internal and external contingencies of the organization that affect the application of strategic management accounting (SMA) in Vietnamese manufacturing enterprises. Using qualitative and...

In this paper we describe how we have added support for dynamic delegation of authority that is enacted via the issuing of credentials from one user to another, to the XACML model for authorisation decision making. Initially we present the problems and requirements that such a model demands,...

Availability of affordable medicines is one precondition to realizing the fundamental human right of access to essential healthcare. Although Vietnam is progressing well with several health-related targets of the Millennium Development Goals being achieved ahead of time, attaining equitable...

We examine the role of adopting environmentally-friendly agricultural technologies on the technical efficiency (TE) among maize farmers in the mountainous areas of Northern Vietnam. While technology adoption is non-randomly assigned to farmers, we draw on recent advances of machine learning...