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This study aims to examine the determinants of Generation Z's intention to support sustainable development in tourism, with a focus on Nha Trang, Vietnam (a coastal city with famous tourism activities).

The study was conducted with an aid of SPSS 20.0 and SmartPLS 4.0 softwares to analyze the data collected from 394 valid respondents in Ho Chi Minh City through a cross-sectional method with a self-administered survey.

Empirical evidence revealed that sustainable tourism attitude, sustainable tourism belief and perceived sustainable destination image positively influenced Generation Z's support intentions toward sustainable tourism. In addition, perceived sustainable destination image also indirectly impacted intention to support sustainable tourism through the sustainable tourism attitude and/or belief (both single and sequential mediations).

This is among pioneering studies to figure out that knowledge negatively moderated the relationship between sustainable tourism attitude and intention to support sustainable tourism.

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.