
An application of the spatial regression model for Vietnam’s export: province-level approach
Author(s) -
Nguyen Thi Van,
Nguyen Viet Bang
Publication year - 2019
Publication title -
khoa học và công nghệ: kinh tế - luật - quản lý
Language(s) - English
Resource type - Journals
ISSN - 2588-1051
DOI - 10.32508/stdjelm.v3i3.567
Subject(s) - regression analysis , investment (military) , value (mathematics) , business , export performance , capital (architecture) , geography , economic geography , international trade , political science , statistics , mathematics , archaeology , politics , law
The paper attempts to define and measure factors affecting export of provinces/ cities in Vietnam, using both qualitative and quantitative methods. In particular, the former was conducted through in-depth interviews with 15 experts (including 3 academics, 7 export officials of Departments of Industry and Trade and 5 managers of export enterprises) in December 2018. The latter was performed using spatial regression model on secondary data of 63 provinces/cities from 2013 to 2017. The paper provides a new research methodology on export of Vietnam’s provinces/ cities (i.e. the spatial regression model). The empirical results show that there is a positive correlation between neighboring provinces/ cities in export activities, indicating that the good export performance of one province boosts that of its neighbors. The results also show that the export of Vietnam’s provinces/ cities is affected by GDP, import value, investment capital, and labor costs.