Foreign direct investments (FDI) is an important determinant of economic growth. FDI does not only contribute to the growth and economic development but also affects income through contributing to economic development and the impact on employment and salary structure of developing countries. The aim of this paper is to analyze the impact of FDI on income inequality in Vietnam. This study is the first attempt to examine the impact of FDI on income inequality under the constraints of the institution and education levels. To address the potential endogeneity problem, this study adopts Genernalized Method of Moment (GMM) model to conduct the estimation. A two-step GMM model with robust standard errors is used in the study. Empirical results show that FDI tends to increase income inequality in Vietnam and the existence of a non-linearity relationship between FDI and income inequality is also validated. Moreover, the study finds that the effects of FDI on income inequality are different depending on the level of education and institutions of the host provinces in Vietnam. The results of this study imply that, in order to ensure sustainable development, Vietnam’s policies should focus on improving the quality of economic governance and the administrative reform efforts of the government of the provinces and cities. Besides, policies should focus on increasing investment in public education and improving human capital, which not only can reduce income inequality but also can attract more FDI inflows.

Purpose: This study intended to analyze the impact of nonrenewable energy consumption, renewable energy consumption, CO₂ emissions on per capita income growth in Vietnam in the period 1990–2019.Design/methodology/approach: The present study adopts the technique of the Autoregressive Distributed Lag (ARDL) cointegration for the annual data collection of Vietnam.Findings: The results of the study show that in the long term, nonrenewable energy consumption increases per capita income, but CO₂ emissions reduce per capita income. In the short run, changes in nonrenewable energy consumption and renewable energy consumption promote per capita income growth in Vietnam. However, changes in nonrenewable energy consumption in the past have had a negative impact on the current income growth of Vietnamese people.Originality/value: The current study provides new insights into the growth effect of nonrenewable energy consumption, renewable energy consumption and CO₂ emissions. The papers suggests important implications to Vietnam in setting the long-run policies to boost the effect of energy consumption and CO₂ emissions on growth in Vietnam in the coming time.

In this study, we analyze the spatial effect of foreign direct investment (FDI) on poverty reduction in Vietnam. This study uses the provincial-level panel data and the fixed-effects regression and the spatial econometric model to investigate empirically the impact of FDI on poverty reduction in Vietnam. The study finds that FDI has contributed to poverty reduction not only directly but also indirectly through human capital. However, FDI has indirectly worsened poverty through international trade. In addition, empirical results from the spatial econometric model show that FDI tends to decrease poverty in provinces. Finally, the study has some policy implications to decrease the negative effects of FDI on poverty reduction in Vietnam.

Farmers’ associations play an important role to help members increase their access to supports of information, capital, and technology; bring benefits to members; and partly promote production, enhance productivity, and increase income. This paper systematizes the theoretical foundation and empirical evidence on income difference between the member and non-member farmers and identifies factors that affect their decisions to join associations. By comparing specific characteristics between the member and non-member farmers, the paper examines the impact of joining farmers’ associations on the income of tea farmers in Vietnam by using the data from the survey of 742 farms. In our sample, 376 respondents are members and 366 non-members of associations in the four largest tea-producing areas, which cover 30 provinces in Vietnam. The paper uses OLS regression model to identify the factors that influence the decision of tea farms to join farmers’ organizations and tobit model to assess more detailed impacts of membership on income. The findings show that the farmers, who are members of an association, are more helpful in the ability to access better market services and more tea prices, and are more likely to earn a higher average income than those are non-members. Moreover, their memberships result in an increase of 0.166 unit of income. The research results also show that other factors, including labor, tea price, share of tea sold, farmer age, tea area, ability to access extension services, and credit services, affect the farmer’s income.