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Mobile shopping is the current trend for firms to conduct business, having great advantages over electronic shopping as well as traditional shopping. The purpose of this paper is to discuss not only the driving forces of mobile shopping behaviors from the theory of reasoned action (TRA) perspective, but also the additional promotion and barrier sides of the mobile business.

A structural equation modeling approach with latent constructs is applied on a self-administered survey data of 208 Vietnamese consumers to test the hypotheses.

The results of this study have proved the predictive power of TRA in exploring consumer behavior in the context of mobile shopping. Also, both promotion and barrier variables have significantly strong impacts on the intention to adopt mobile shopping.

Future studies would benefit from investigating other variables (e.g. specific aspects of trust and risk) and using actual behavior (e.g. online purchases).

Business managers should pay attention to both promotion and barrier factors to understand how and why Vietnamese consumers adopt mobile shopping.

This pioneering study adapts the TRA model with extended promotion and barrier variables to explain mobile shopping in the context of Vietnam.

This study aims to analyse the consumption inequality between farm and non-farm households in rural Vietnam, using the data from the 2016 Vietnam household living standards survey.

The present paper applies the “recentered influence functions (RIF)” in “Oaxaca-Blinder (OB)” type decomposition as proposed by Firpo et al. (2018) to allow for the flexible distribution of the outcome variables and the non-randomness of non-farm employment that violates the classical linearity assumption.

Non-farm households have significantly higher per capita consumption expenditure than farm households for the entire distribution. The gap in expenditure is large at low percentiles and narrowing with higher percentiles. At 10th percentile, the gap is estimated at 27.1%, but it is decreasing to 11.1% at 90th percentile. Most of the gaps are explained by the differences in the observed characteristics between farm and non-farm households such as ethnicity, education, income, internal transmittances and household composition. Non-farm households are endowed with more productive factors that result in higher per capita consumption expenditure.

Gaps in ethnicity and education are found to be key predictors of the inequality in consumption expenditures between farm and non-farm households, then, government policies that are aimed at increasing access to non-farm employment and education for ethnic minorities and for rural poor households are pathways to improve rural household welfare and hence reduce inequality.

This paper aims to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services sector.

The authors have conducted a panel data regression analysis using data from 50 banking, insurance and finance companies listed in Vietnam's two biggest stock exchanges (HNX and HOSE) within the period from January 30th, 2020 to May 15th, 2021.

The regression results indicate that the daily growth in the total number of confirmed cases caused by COVID-19 has significant negative effects on the stock market returns and liquidity. Nevertheless, the Government's imposition of lockdown yields significant and positive outcomes on stock performance. In addition, the study reveals remarkable differences in returns of large-cap and small-cap stocks under the impact of the COVID-19 pandemic.

The study indicates government and regulators should act more actively to limit the outbreak of the virus, improve investor confidence as well to support the financial services industry and deal with the outbreak of the pandemic later.

This is the first study to explore the influence of the COVID-19 outbreak and the Government's disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services industry.

This research aims to offers a new method for assessing geoeconomic risks in bilateral relations and evaluate the level of such risks from Vietnam’s economic dependency on China.

I apply descriptive analysis to identify asymmetrical dependency in Vietnam–China economic relations and propose a geoeconomic risk assessment framework to evaluate risk levels in bilateral economic linkages.

The proposed geoeconomic risk framework assesses risk levels, which are positively influenced by the degree of asymmetrical relations (vulnerabilities), the net impacts on the receiving economy (impacts) and the sending state’s ability to control economic tools (threats). In contrast, risk levels are negatively affected by the effectiveness of existing mitigation efforts. The framework employs ordinal likelihood scales to rank various risk levels. In the context of Vietnam–China relations, market access for agricultural products and control of the Mekong water emerge as the most risky areas for economic coercion, followed by Chinese official development finance in infrastructure and critical input imports. On the other hand, debt dependency and foreign direct investment in the energy sector are considered more secure areas—less likely targets for economic coercion. Hence, risk mitigation strategies should prioritize reducing asymmetry in vulnerable dependence areas while maintaining current practices in more secure areas.

Methodologically, it introduces a new approach for assessing bilateral geoeconomic risk. Empirically, it provides Vietnam’s policymakers with a comprehensive evaluation of the implications of economic interdependence with China.