Causal Factors of Eco-Industrial Town Management Affecting Sustainability: A Case Study of Map Ta Phut Industrial Estate

Authors

  • Wuttichai Youngswaing 1Department of Logistics Technology and Transportation Management, Faculty of Engineering and Architecture, Rajamangala University of Technology Tawan-Ok
  • Ekkapong Cheunkamon Faculty of Business Administration, King Mongkut’s University of Technology North Bangkok, Rayong Campus
  • Napitchya Cherdchom Faculty of Management Technology, Rajamangala University of Technology Srivijaya
  • Savalee Uttra Department of Logistics and Transportation Engineering, Faculty of Engineering and Industrial Technology, Kalasin University
  • Sompong Aussawariyathipat Institute of Aviation and Aerospace Technology, Rajamangala University of Technology Tawan-Ok

Keywords:

Eco-Industrial Parks, Sustainability, Confirmatory Factor Analysis, Structural Equation Model

Abstract

The purposes of this research are: (1) to study the factors affecting the operation of eco-industrial parks (EIPs), and (2) to analyze the structural equation model (SEM) of factors influencing sustainability. The sample consists of 400 residents and employees living and working around the Map Ta Phut Industrial Estate. Data were collected using questionnaires and analyzed through basic statistics, confirmatory factor analysis (CFA), and structural equation modeling (SEM). The results revealed that the empirical data fit the model well, with χ2=858.294, df=268, p<0.001, χ2/df=3.203, RMSEA=0.074, CFI=0.924, TLI=0.908, and SRMR=0.052, all of which meet the criteria for a good model fit. The study found that EIP development comprises five key dimensions—physical, social, economic, environmental, and managerial—which positively and significantly influence the sustainability factor. These findings provide a useful framework for government agencies, private sectors, and communities within EIPs to recognize the importance of EIP development and promote cooperation toward sustainable industrial growth.

References

Belaïd, F., Boubaker, S., & Kafrouni, R. (2020). Carbon emissions, income inequality and environmental degradation: The case of Mediterranean countries. European Journal of Comparative Economics, 17(1), 73–102. https://doi.org/10.25428/1824-2979/202001-73-102

Charmondusit, K., & Keartpakpraek, K. (2011). Eco-efficiency evaluation of the petroleum and petrochemical group in the map Ta Phut Industrial Estate, Thailand. Journal of Cleaner Production, 19(2), 241–252. https://doi.org/10.1016/j.jclepro.2010.01.013

Cohen-Rosenthal, E., & Musnikow, J. (Eds.). (2003). Eco-industrial strategies: Unleashing synergy between economic development and the environment. Routledge. https://doi.org/10.4324/9781351281485

Daddi, T., Bleischwitz, R., Todaro, N., Gusmerotti, N., & De Giacomo, M. R. (2019). The influence of institutional pressures on climate mitigation and adaptation strategies. Journal of Cleaner Production, 244, 118879. https://doi.org/10.1016/j.jclepro.2019.118879

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., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2009). Multivariate data analysis (7th ed.). Prentice Hall.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2014). Multivariate data analysis (Pearson new international ed.). Pearson.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

IEAT. (2022). Standard and guideline for eco-industrial estate. Industrial Estate Authority of Thailand. https://www.ieat.go.th/en

Panyathanakun, V., Tantayanon, S., Tingsabhat, C., & Charmondusit, K. (2013). Development of eco-industrial estates in Thailand: initiatives in the northern region community-based eco-industrial estate. Journal of Cleaner Production, 51, 71–79.

Pilouk, S., & Koottatep, T. (2017). Environmental performance indicators as the key for eco-industrial parks in Thailand. Journal of Cleaner Production, 156, 614–623. https://doi.org/10.1016/j.jclepro.2017.04.076

Qu, Y., Liu, Y., Nayak, R. R., & Li, M. (2015). Sustainable development of eco-industrial parks in China: effects of managers' environmental awareness on the relationships between practice and performance. Journal of Cleaner Production, 87, 328–338. https://doi.org/10.1016/j.jclepro.2014.09.015

Steiger, J. H. (2007). Understanding the limitations of global fit assessment in structural equation modeling. Personality and Individual Differences, 42(5), 893–898. https://doi.org/10.1016/j.paid.2006.09.017

Stevens, J. P. (2012). Applied multivariate statistics for the social sciences. Routledge.

Thoo, A. C., Ngang, J. M., Huam, H. T., & Talib, M. S. A. (2021, December 13–16). Manufacturers insights on the implementation of eco-industrial park. In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). https://doi.org/10.1109/IEEM50564.2021.9672823

Valenzuela-Venegas, G., Vera-Hofmann, G., & Díaz-Alvarado, F. A. (2020). Design of sustainable and resilient eco-industrial parks: Planning the flows integration network through multi-objective optimization. Journal of Cleaner Production, 243, 118610. https://doi.org/10.1016/j.jclepro.2019.118610

Veleva, V., Todorova, S., Lowitt, P., Angus, N., & Neely, D. (2015). Understanding and addressing business needs and sustainability challenges: lessons from Devens eco-industrial park. Journal of Cleaner Production, 87, 375–384. https://doi.org/10.1016/j.jclepro.2014.09.014

Wheaton, B., Muthén, B., Alwin, D. F., & Summers, G. F. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84–136. https://doi.org/10.2307/270754

Wu, Y., & Gao, X. (2022). Can the establishment of eco-industrial parks promote urban green innovation? Evidence from China. Journal of Cleaner Production, 341, 130855. https://doi.org/10.1016/j.jclepro.2022.130855

Yamsrual, S., Sasaki, N., Tsusaka, T. W., & Winijkul, E. (2019). Assessment of local perception on eco-industrial estate performances after 17 years of implementation in Thailand. Environmental Development, 32, 100457. https://doi.org/10.1016/j.envdev.2019.100457

Zeng, C., Deng, X., Yang, J., Cheng, Y., Zhao, T., & Wang, P. (2022). The exploration of residents' perception of eco-urbanization at community and driving factors in China. Cities, 122, 103513. https://doi.org/10.1016/j.cities.2021.103513

Zhu, Q., & Cote, R. P. (2004). Integrating green supply chain management into an embryonic eco-industrial development: a case study of the Guitang Group. Journal of Cleaner Production, 12(8–10), 1025–1035.

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Published

2025-12-31

How to Cite

Youngswaing, W. ., Cheunkamon, E., Cherdchom, N., Uttra, S., & Aussawariyathipat, S. (2025). Causal Factors of Eco-Industrial Town Management Affecting Sustainability: A Case Study of Map Ta Phut Industrial Estate. Uthenthawai Engineering and Architecture Journal, 2(2), 1–14. retrieved from https://ph03.tci-thaijo.org/index.php/UthenJo/article/view/4072