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1.
Application of the New Visit Intention Model for Gastronomy Tourism : An Empirical Study in Vietnam
Trong Tien Bao Bui, Minh Chanh Trinh, Thi Thuy Ngan Dang, original scientific article

Abstract: The study aims to address research gaps in Vietnam’s gastronomy tourism by developing and validating a new visit intention model based on the Theory of Planned Behaviour (TPB). The model incorporates the concepts of gastronomic destination image and novelty-seeking to gain a comprehensive understanding of domestic tourists’ intention to visit Ho Chi Minh City, a leading gastronomic destination in Vietnam. Primary data were collected from 417 domestic tourists through a questionnaire survey conducted in Ho Chi Minh City from April to August 2023. Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to test the proposed model and examine the relationships among novelty seeking, gastronomic image, attitudes, subjective norms, perceived behavioural control, and visit intention. The findings indicate that novelty-seeking, gastronomic image, and the core TPB constructs play a crucial role in explaining the intention to visit a gastronomic destination. The model explains 71.2% of the variance in visit intention, with domestic tourists’ visit intention being strongly influenced by the desire for novel culinary experiences and the attractiveness of Ho Chi Minh City’s gastronomic image. This study reaffirms the applicability of the extended TPB framework in explaining visit intention toward gastronomy destinations. The significant findings provide empirical evidence from Vietnam, clarifying how novelty-seeking and gastronomic image strengthen visit intention. The study also provides practical guidance for local authorities and tourism marketers to enhance Ho Chi Minh City’s competitiveness and support sustainable tourism development goals (SDG 11).
Keywords: gastronomic image, novelty seeking, TPB model, visit intention, Sustainable Development Goals (SDG 11), Ho Chi Minh City
Published in RUP: 06.03.2026; Views: 75; Downloads: 3
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2.
Is the Environmental Kuznets Curve Still Relevant in the Modern Context? : Insights From Air Pollutants in Chinese Cities
Jun Wang, Shinah Park, Gulsah Akar, 2025, original scientific article

Abstract: This study investigated the presence of EKC-like relationships between various socioeconomic variables and air pollution indicators across 151 Chinese cities, analysed by quadratic regression models and geographic weighted regression (GWR) analysis. The results present critical insights into the applicability and limitations of the EKC. Only Air Quality Index, Nitrogen Dioxide (NO2), and Fine Particulate Matter (PM2.5) show statistically significant correlations with one socioeconomic variable, respectively, in an EKC-like pattern which is meaningful in reality. GWR coefficients serve as a diagnostic tool to identify those burdened cities where stricter emissions standards, greener industrial practices, or economic restructuring should be prioritized. The spatial dependencies challengethe EKC’s assumption of isolated environmental-economic dynamics. Stricter environmental regulations in developed areas often lead to the displacement of polluting activities to regions with laxer standards. Policy efforts in tackling air pollution should focus on directly reducing emissions through localized, technology-based interventions rather than relying on economic growth to eventually improve air quality. Spatially targeted policies informed by city-specific patterns are essential, as pollution outcomes are shaped by regional industrial structures, population density, and cross-boundary spillover effects.
Keywords: Air pollution, City development, Industrialization, Sustainable development, Carbon Neutral
Published in RUP: 18.12.2025; Views: 259; Downloads: 1
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