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Climate change increases systematic risk for firms, especially those in the agricultural industry. Therefore, the need to examine the consequences of climate-related risks on agribusiness companies' financial performance across the globe and emerging markets has risen. In this context, the paper aims to investigate the effects of climate change risks on the financial performance of agriculture listed firms in Vietnam.

The study sample includes 77 Vietnamese listed firms in the agricultural industry in the period of 2015–2019. The authors chose temperature, wind, rainfall and humidity proxies to measure climate change. The OLS regression, random regression and sub-sample analysis have been used to examine the impacts of climate risks on firms' financial performance.

Empirical results show that rain and temperature have positive impacts on financial performance of Vietnamese agriculture listed firms, while wind and humidity have insignificant impacts on financial performance.

The research helps researchers, businesses, practitioners and policymakers interested in the agricultural industry, especially those in developing and emerging countries, to develop a deep understanding of the impact of climate change risks on firm performance and therefrom prepare necessary measures to reduce the negative impacts.

This study adds to the literature stream on the impacts of climate change on financial performance. It is the first study to investigate this impact in Vietnam, a country which depends mainly on agriculture.

This study aims to investigate the impacts of travel motivations, time perspective and city image that affect travelers’ intention to visit city tourism.

The data in this study was collected through a structured questionnaire survey conducted in three big cities in the North of Vietnam (Hanoi, Hai Phong and Ha Long). The data set consists of 625 valid responses by Vietnamese tourists. Correlation analysis and structural equation modeling were used to test the causal relationships among time perspective, city image, travel motivations and tourist intention. Confirmatory factor analysis is conducted to verify the reliability and validity of each latent construct and to evaluate the discriminant validity, convergent validity, composition reliability and average variance extracted for the latent constructs.

This study finds that tourists’ travel motivations, time perspective and city image are significantly and positively associated with their intention to visit city tourism. This study also reports that tourists’ time perspective and city image are significantly and positively related to their travel motivation which is in turn significantly and positively correlated to their intention to engage in city tourism.

City tourism providers need to seek for understanding travel motivations of potential customers. City tourism products should be promoted to people who want to travel for knowledge enhancement, seeking, self-fulfillment, socializing and escape. Tourism businesses and marketers focus more on developing the overall image of city. They should have city slogan and have strategy to establish the city branding to evoke or remind the customers to come in. Since the Corona (COVID-19) pandemic impact on every nation around the world, the artificial intelligence has to be taken on city tourism to minimize the negative influence of this pandemic.

This study reveals three key determinants of tourists’ intention including travel motivations, city image and time perspective, which have unclear study in the city tourism literature. This study also explains the role of travel motivations in mediating the impacts of their time perspective and city image on their intention to visit city tourism. Improving the city image is important to attract tourists who want to engage in city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape. Tourism providers need to have a strategy for establishing the city branding to evoke or remind the customers to come in. The time perspective should be paid more attention to tourists who want to travel to city tourism for knowledge enhancement, seeking, self-fulfillment, socializing or escape.

This paper aims to analyze the impacts of institutional quality on trade flows of NAFTA with a panel data set of 105 countries spanning the period 2006–2017.

We applied the system generalized method of moment (GMM) estimator to investigate the impacts.

The results show that institutional quality is a positive and significant determinant of international trade flows of the NAFTA bloc and its trading partners. Our results also indicate that the impact of institutional quality depends on the level of economic development of NAFTA's trading partners. Specifically, the trade elasticity of institutional quality is the highest for NAFTA’s trade with middle-income countries and the lowest for NAFTA's trade with low-income countries. In the long run, the trade elasticity of institutional quality increased significantly, with the highest increase in the case of NAFTA's trade with medium-income countries and the lowest increase in the case of NAFTA's trade with low-income countries.

This study contributes to the existing literature in three different ways. First, we examine the differential impact of institutions on NAFTA's trade according to the level of economic development of NAFTA's trading partners. Second, we compare the differential trade elasticity of institutional quality in the long run. Finally, we support our findings through an improved research methodology by using the system GMM estimation. This method allows us to overcome the potential sample bias, omitted variable problems and endogeneity of explanatory variables.

This study aims to reveal the impact mechanism of franchisor-owned resources, franchise relationship quality and franchisee's dynamic capabilities on franchisee performance, with the moderating role of cultural sensitivity.

The sample consisted of 290 middle managers and team leaders at 113 hotels and food and beverage settings participating in the international- and domestic franchises in Ho Chi Minh City, Vietnam. A partial least squares structural equation model (PLS-SEM) is used to analyse the data.

The result reveals that franchisor-owned resources, franchise relationship quality and franchisee's dynamic capabilities significantly impacted franchisee performance. Furthermore, cultural sensitivity has a beneficial role in the effect of franchise relationship quality on franchisee performance.

This study develops an integrated analytical framework of franchisee performance from the franchisee's perspective, contributing to integrating international business theory in franchising studies, namely the resource-based view, dynamic capability view and relationship-marketing theory.

The purpose of this paper is to investigate the determinants of the gender gap in the gross value of rice yield in Vietnam.

A panel data set of 12 provinces of Vietnam from 2010 to 2014 was used, collected from the Vietnam access to resources household survey. To measure the gender gap in the gross value of rice yield, two-stage least squares and Blinder – Oaxaca decomposition methods were used.

The gross value of rice productivity of male-headed households was 10.3 percent higher than that of female-headed households. The gender gap in rice productivity is caused by the endowment and structural effects; the endowment effect explained 53 percent of the gender gap in rice productivity and the structural effect 42 percent.

In order to reduce the gender gap and improve the gross value of rice yield, the following policies are suggested: female education and access to institutional services (extension and credit) should be improved and future research is needed to determine the reasons for gender discrimination in the agricultural production system.

The findings suggest that the difference in the gross value of rice yield between male- and female-headed households were mainly caused by endowments and returns from those endowments.

This study aims to find how trade development and digitalization affect smart-green production. Four factors are investigated in these effects (certification, technology innovation, natural resource management, low pesticides).

The mix-method approach was employed from validating the measurement scale to test the proposed hypotheses. At first, the grounded theory is the most authoritative and standard research method in qualitative research. Secondly, quantitative analysis was employed to draw conclusions about the impact of digitalization and trade development on smart-green agricultural production.

The results found that digitalization and trade development impact the development of smart-green agricultural production through certification employment, technology innovation, and a decrease in pesticide usage. Moreover, digitalization and trade development also indirectly affect the development of intelligent green agricultural production. Meanwhile, digitalization has a higher impact than trade development.

This research is based on the premise that digitalization and trade development can drive smart green agricultural production. Still, some studies have found a deviation between trade development and environmental protection. Hence, future research can explore the incentive effect of trade development and digitalization on other industries. Second, the measurement of the dependent variables in this study is based on the premise that smart-green agricultural production has not been widely promoted, so the changes in production before and after the whole public participation in smart-green output have yet to be reflected.

Smart green production in agriculture is essential for a transition economy and the world to meet food security and protect the environment. However, the effects of certification, technology innovation, natural resource management, and low pesticides on smart-green agriculture production have yet to be identified. Insights from this study can help governments, policy-makers, and farmers in emerging economies by adapting their strategies within their local contexts.