This study focuses on problems related to foreign direct investment (FDI) in the North Central Area and South Central Coast of Vietnam in the period from 2000 to 2010, they consist of bidirectional relationship between foreign direct investment and economic growth (GDP), competition among provinces and effects of laws in attracting FDI. By using panel data and Ordinary Least Square (OLS) Method. Empirical analysis results found that: 1) There is a strong bidirectional relationship between FDI and GDP in this area of Vietnam. Both FDI and GDP also contributed significantly and positively in explaining each other in the provinces which was extremely difficult socio-economic conditions, however this is especially accurate in provinces having better conditions such as Da Nang city; 2) There is no strong competition between provinces in attracting FDI, provinces having better governance in economics attracted less registered FDI; 3) Ability to access information and infrastructure quality of provinces affects significantly and positively to attract

This study focused on the impact of FDI on economic growth in the entire of Vietnam and in the provinces which are ranked differently on socio -economic conditions. Based on a panel dataset of 64 provinces and cities in Vietnam and used the fixed -effects estimation method for econometric models, the empirical results show that

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This paper aims to clarify the impact of the credit for the expenditure of poor households in Vietnam. We have used Difference in Difference (DID) methods to estimate the panel data from Vietnam Living Standard Survey (VLSS) for the period of 2010-2012. The results showed that the credit has a positive influence to the average expenditure of the poor households, whether in formal credit or informal credit. However, informal credit is still a very important source of credit for poor households in Vietnam because it increases expenditure of poor households higher than formal credit. In addition, research also found significant effects of some factors such as regional, ethnicity, education level, household size to expenditures. JEL Classifications: C33, H81, P36, H31