This study explores the role of social capital in the livelihoods of rural households in Vietnam, examining both direct and indirect impacts. The author uses a revised sustainable livelihood framework to analyze social capital, focusing on bonding-bridging and linking forms. The study applies quantitative methods to a secondary dataset from a rural household survey, including entropy-weighted indicators, cluster analysis, and SEM models. The findings suggest that social capital has complex and significant impacts on household livelihood strategies. Bridging and linking social capital promotes non-agricultural and wage-based strategies, while bonding social capital drives transfer-based strategies. The study highlights the importance of social capital as a complementary resource to other livelihood capitals, such as financial, human, and physical capital. These results have important implications for policy implementation aimed at supporting rural households and their livelihoods, especially regarding social capital’s interaction with other livelihood capitals. By understanding the complex relationship between social capital, other livelihood capitals and livelihood strategies, policymakers can design more effective policies that harness the potential of social connections to support rural households.

The goal of this research is assess the variation in livelihood choices of households in Vietnam rural areas under the effects of climate change. Sustainable livelihood analysis framework and previous studies show that climate change has positive significant impacts on household livelihood transitions. Base on secondary dataset (Vietnam Access to Resources Household Survey) from 2008 to 2018 and applying multinomial logit model, the authors have indicated that climate change not only directly affects livelihood choices of inhabitans in rural areas but also indirectly influcences them through livelihood capitals, including: human capital, natural capital, material capital, financial capital, and social capital. In addion, authors have shown that the wage-based and nonagricultural strategy preferred under the effects of climate change. This study has also determined the effects of climate change on rural households via livelihood capitals, particularly human and social capital. Finally, the authors suggested some policy implications about quickly policy implement from government, enhancing social capital as well as social networks of households, improving human capital for climate change adaptation.

The aim of this study is not only to define the industrial development space of the region in Vietnam, but also to assess the linkage in local industrial development. Research space in the Southern Key Economic Region—Vietnam’s most vibrant industrial production region—is based on the approach in both aspects: output value and agglomeration of production enterprises through the number of businesses. By taking a diversified approach from defining the growth linkage indicator to simulating the industrial structure pattern by the network, and using the regression model with the industrial production enterprise data of the Region in the period 2011 − 2019. The research result shows that there has been a significant increase in the linkage to the development of industrial space in the Region. Besides, the pattern of industrial development space of the Region has both increased the production value in the central areas and spread the industrial bases established in other localities in the Region. From scientific findings, this paper gives policy implications as well as contributes to some improvements in assessing, analyzing and verifying industrial development space in the locality, especially for developing economies like Vietnam.

Sustainable development stands as both a goal and a prevailing trend in the global economy all the time. However, a comprehensive understanding of the internal and external determinants influencing sustainable development is necessary for the formulation of appropriate policies and development strategies. This research investigates dimensions of sustainable development in the panel data of 104 selected countries from 2000 to 2020. These economies are categorized into four groups based on the level of development. The exclusive role is given to the impact of three key factors, based on the triple bottom line (TBL) model, such as globalization, labor, and renewable energy on sustainable development. We employ the panel unit root tests, cointegration tests, and pool mean group (PMG) approach to estimate the relationships between globalization, renewable energy, labor force, and sustainable development. The results indicate the positive effects of globalization, labor, and renewable energy on sustainable development. Furthermore, a higher level of renewable energy consumption promotes sustainable development within the divided groups. The findings highlight that the labor factor has a positive impact on the sustainable development of all groups of economies. Thereby, the sustainability policy are implied to focus on the educational policy, improving social stability and renewable energy sources, particularly in the middle trap countries.

Agriculture – rural – farmer is a crucial issue in Vietnam development policy. There are huge challenges in enhancing the efficiency of agriculture production. This paper focused on the estimation and determinants of rice production of Vietnam rural farmers. Based on VHLSS database in 2016, the author checked and manipulated 3299 observations which were surveyed all 6 regions in Vietnam. This paper uses the Data Envelopment Analysis approach (DEA) to estimate the score of production efficiency. The results showed that the score of Vietnam rice production efficiency not good, mean at 8,95/100. Additionally, the author determined the effect of the factors on the efficiency score through the Tobit regression model. The model results reveal that labor and livelihood diversity effect on the efficiency of rice production of Vietnam rural farmers. Moreover, the difference in the geographical region and soci-economic characteristics also formalize the difference in production efficiency score among farmers in Vietnam.