Factors Influencing Low-Carbon Tourism Perceptions and Behavioral Intentions Among Thai Generation Z: A Structural Equation Modeling Approach
Main Article Content
Abstract
This study examines perceptions and behavioral intentions of Thai Generation Z tourists (n = 405) toward low-carbon tourism, integrating Theory of Planned Behavior (TPB) and Value-Belief-Norm (VBN) theory using Structural Equation Modeling (SEM). The research tested relationships between demographic factors, environmental awareness (knowledge and benefit perception), and sustainable tourism behavioral intentions. Results showed that low-carbon tourism perception strongly predicted behavioral intentions (β = 0.774, p < 0.001), explaining 60% of variance in sustainable behaviors, strongly supporting TPB. Critically, knowledge and understanding influenced perception formation more strongly than benefit recognition, supporting the VBN theory that cognitive awareness drives pro-environmental orientations. Demographically, education level emerged as the strongest differentiator (η² ≈ 0.07), while traditional predictors (gender, age, income, and internet usage) showed no significant effects, suggesting generational environmental homogeneity. Despite conceptual ambiguity—only 44.2% correctly defined low-carbon tourism—participants demonstrated strong behavioral readiness, with 45.7% prioritizing sustainable transportation. These findings provide empirical evidence for environmental literacy primacy over benefit recognition in Thai Generation Z, challenge conventional demographic segmentation assumptions in sustainability marketing, and offer practical insights for policymakers and tourism businesses engaging Generation Z in Thailand’s low-carbon transition. The study extends integrated TPB-VBN frameworks to Southeast Asian youth markets and provides context-specific evidence of generational homogeneity in environmental consciousness.
Highlights
This study integrates the Theory of Planned Behavior and Value-Belief-Norm theory to examine low-carbon tourism behavioral formation among Thai Generation Z using structural equation modeling.
• Environmental knowledge drives intentions more powerfully than benefits—prioritize climate education over advantage messaging
• Education level is the only demographic differentiator; gender, age, and income show no effects on Generation Z environmental awareness
• Thai Generation Z shows practical readiness despite limited knowledge—action-oriented interventions outperform awareness campaigns.
• Practical readiness exceeds formal knowledge, requiring action-oriented rather than awareness-based interventions.
• Generation Z demonstrates behavioral readiness despite conceptual gaps, favoring action over awareness interventions.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright: CC BY-NC-ND 4.0
References
Ahmad, J., Mamun, A. A., Masukujjaman, M., Makhbul, Z. K. M., & Ali, K. A. M. (2023). Modeling the workplace pro-environmental behavior through green human resource management and organizational culture: Evidence from an emerging economy. Heliyon, 9(9). e19134.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Baloch, Q. B., Shah, S. N., Iqbal, N., Sheeraz, M., Asadullah, M., Mahar, S., & Khan, A. U. (2023). Impact of tourism development upon environmental sustainability: A suggested framework for sustainable ecotourism. Environmental Science and Pollution Research, 30(3), 5917-5930.
Bhaktikul, K., Aroonsrimorakot, S., & Laiphrakpam, M. (2021). Toward a low-carbon tourism for sustainable development: A study based on a royal project for highland community development in Chiang Rai, Thailand. Environment, Development and Sustainability, 23, 10743-10762.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). New York, NY: Guilford Press.
Chen, F. F., Sousa, K. H., & West, S. G. (2005). Teacher’s corner: Testing measurement invariance of second-order factor models. Structural Equation Modeling: A Multidisciplinary Journal, 12(3), 471-492.
Climate Action Tracker (2025). 2035 climate target update tracker. Retrieved from https://climateactiontracker.org/
Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). New York, NY: Routledge.Routledge.
Dang, Q. V., & Phan, M. T. N. (2025). Determinants of generation Z’s organic food purchase intention: A study in urban Vietnam. International Journal of Innovative Research and Scientific Studies, 8(5), 1102-1112.
Dejprayoon, K., Lekcharoen, S., & Pankham, S. (2025). Determinants of customer intention for sustainable tourism packages in Thailand using rough set-fuzzy theory. Journal of Fuzzy Extension and Applications, 6(3), 522-554.
Fakfare, P., Lee, J.-S., & Han, H. (2022). Thailand tourism: A systematic review. Journal of Travel & Tourism Marketing, 39(2), 188-214.
Fakfare, P., & Wattanacharoensil, W. (2023). Low-carbon tourism for island destinations: A crucial alternative for sustainable development. Sustainable Development, 31(1), 180-197.
Field, A. P. (2024). Discovering statistics using IBM SPSS Statistics (7th ed.). London, England: SAGE Publications.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook. Cham, Switzerland: Springer.
Han, H., Hsu, L.-T. (Jane), & Sheu, C. (2010). Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities. Tourism Management, 31(3), 325-334.
Juvan, E., Zhu, O. Y., Grün, B., & Dolnicar, S. (2024). On the importance of field studies for testing theory-driven behavioral change interventions in (sustainable) tourism. Journal of Travel Research, 64(6), 1449-1463.
Khiaolek, K., Damrongsak, D., Wongsapai, W., Sangkakorn, K., Kumpiw, W., Jaitiang, T., Karapan, R., Wongwilai, W., Srinurak, N., Sukwai, J., Champawan, S., & Dhumtanom, P. (2025). Gap analysis and development of low-carbon tourism in Chiang Mai Province towards sustainable tourism goals. Sustainability, 17(19), 8889.
Kim, H. Y. (2013). Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics, 38(1), 52-54.
Kline, R. B. (2023). Principles and practice of structural equation modeling (5th eds.). New York, NY: Guilford Press.
Iamtrakul, P., & Klaylee, J. (2024). Evaluating Sustainable Mobility: Motorized and Non-motorized Modes in Suburban Areas of Thailand. Evaluation Review, 49, 1-25.
Koçak, E., Ulucak, R., & Ulucak, Z. Ş. (2020). The impact of tourism developments on CO2 emissions: An advanced panel data estimation. Tourism Management Perspectives, 33, 100611.
Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers in Psychology, 4, 863.
Le, H., & Nguyen, P. M. (2024). The Impact of Reviewers on Social Media on the Buying Intentions of GenZ in Vietnam. Journal of Contemporary Social Sciences and Humanities, 11(2), Article 2.
Leal Filho, W., Ng, A. W., Sharifi, A., Janová, J., Özuyar, P. G., Hemani, C., Heyes, G., Njau, D., & Rampasso, I. (2023). Global tourism, climate change and energy sustainability: Assessing carbon reduction mitigating measures from the aviation industry. Sustainability Science, 18(2), 983-996.
Levene, H. (1960). Robust tests for equality of variances. In Olkin, I. (Ed.). Contributions to probability and statistics: essays in honor of harold hotelling (pp. 278–292). Stanford, CA: Stanford University Press.
Li, T., Li, W., Lou, Z., & Wang, L. (2024). Comprehensive Analysis of Industrial Solid-Waste-to-Energy by Refuse-Derived Fuel Technology: A Case Study in Shanghai. Sustainability, 16(10), 4234.
Lin, H.-H., Ling, Y., Chen, I.-S., Wu, P.-Y., Hsu, I.-C., Hsu, C.-H., & Zhang, S.-F. (2022). Can Low-Carbon Tourism Awareness Promote Rural and Ecological Development, Create Safe Leisure Spaces, and Increase Public Happiness? A Discussion from the Perspective of Different Stakeholders. Water, 14(21), 3557.
Lopes, J. M., Gomes, S., Suchek, N., & Nogueira, S. (2024). The hidden reasons behind Generation Z’s green choices. Discover Sustainability, 5(1), 520.
Ma, Y., Li, Y., & Han, F. (2024). Interconnected Eco-Consciousness: Gen Z Travelers’ Intentions toward Low-Carbon Transportation and Hotels. Sustainability, 16(15), 6559.
Manotungvorapun, N., & Gerdsri, N. (2025). Roadmap Toward Sustainable Tourism Development: An Evidence- and Knowledge-Based Approach from Thailand. Sustainability, 17(13), 6028.
Pantaratorn, P., Putjorn, J., & Weerapaiboon, W. (2023). Exploring Barriers to Low Carbon Tourism Development in Thailand: A Supply-Side Perspective. Journal of Contemporary Social Sciences and Humanities, 10(2), 1-18.
Patitas, N., & Phoochinda, W. (2024). Tacit Knowledge Affects the Environmental Practice of Populations in Bangkok Metropolis and Vicinity. Journal of Contemporary Social Sciences and Humanities, 11(1), 73-82.
Petchchedchoo, P., Petcharaks, N., Piratrakul, P., & Wongmuek, K. (2024). Analysis of the Carbon Footprint of Academic Gowns: A Case Study of Thai University. Journal of Current Science and Technology, 14(2), 46-46.
Petchchedchoo, P., Sathidpong, N., & Petcharaks, N. (2025). Assessing Carbon Sequestration and Biodiversity: A Comprehensive Study of Trees at Dhurakij Pundit University. Journal of Current Science and Technology, 15(2), 92-92.
Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterion-referenced test item validity. Dutch Journal of Educational Research, 2, 49-60.
Sheeran, P., & Webb, T. L. (2016). The intention–behavior gap. Social and Personality Psychology Compass, 10(9), 503-518.
Srimachai, T., Yodkruea, W., Chuchuang, N., Chumdaeng, S., Suankaew, P., Chobbun, S., Khongnakhon, S., Boonchuay, K., & Phuket, K. R. N. (2025). Innovative Prototype of Zero-Waste Food Production System to Support Integrated Farming. ASEAN Journal of Scientific and Technological Reports, 28(2), e255925.
Stern (2000). New Environmental theories: Toward a coherent theory of environmentally significant behavior journal of social issues—Wiley Online Library. Retrieved from https://spssi.onlinelibrary.wiley.com/doi/abs/10.1111/0022-4537.00175
Subongkod, M., Sinlapasawet, W., Lalaeng, C., & Hongsakul, B. (2025). The Impact of Environmental and Components of Tourism on Community Participation in Ecotourism: Evidence from The Community Leaders of Thailand. Procedia Computer Science, 263, 798-805.
Tabachnick, B. G., & Fidell, L. S. (2019). Using multivariate statistics (7th ed.). New York, NY: Pearson.
Travel And Tour World (2025). Thailand celebrates tourism triumph with over 35 million visitors in 2024 and bold plans for record-breaking growth in 2025. Retrieved from https://www.travelandtourworld.com/news/article/thailand-celebrates-tourism-triumph-with-over-35-million-visitors-in-2024-and-bold-plans-for-record-breaking-growth-in-2025-2/
Turner, R. C., & Carlson, L. A. (2003). Indexes of item–objective congruence for multidimensional items. International Journal of Testing, 3(2), 163-171.
Wang, L., Wang, Z.-X., Zhang, Q., Jebbouri, A., & Wong, P. P. W. (2022). Consumers’ intention to visit green hotels – a goal-framing theory perspective. Journal of Sustainable Tourism, 30(8), 1837-1857.
Yan, Y., & Phucharoen, C. (2024). Tourism Transport-Related CO2 Emissions and Economic Growth: A Deeper Perspective from Decomposing Driving Effects. Sustainability, 16(8), 3135.