Development of an Agro-cultural Industry Waste Management Framework for Sustainable Value Addition in the Lower Northern Region
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Abstract
This study aims to examine the current conditions and waste management practices in agro-industrial sectors in the lower northern region, analyze industrial management factors that influence the creation of value from waste, and develop an integrated waste management framework that supports sustainable development. A mixed-methods approach was employed. Quantitative data were collected from 420 agro-industrial entrepreneurs via structured questionnaires, and qualitative data were obtained through in-depth interviews with seven experts in industrial management and sustainable development, comprising three from the industrial sector, two from the public sector, and two academics. Data were analyzed using descriptive statistics and Structural Equation Modeling (SEM). The findings reveal that waste management efficiency has a significant direct effect on economic value creation (β = 0.72), contributing to cost reduction, revenue growth, and product development from waste. Furthermore, value creation positively influences organizational sustainability across economic, social, and environmental dimensions (β = 0.59; R² = 0.68). These results indicate that integrating waste management with modern industrial management practices is a key strategy for improving operational efficiency, value creation, and sustainability in the agro-industrial sector. Organizations capable of transforming waste into valuable resources tend to achieve greater business stability and long-term competitiveness.
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References
Deming, W. E. (1986). Out of the crisis. MIT Press.
Department of Industrial Works. (2025). Industrial waste situation reports in Thailand. Ministry of Industry.
Elkington, J. (1997). Cannibals with forks: The triple bottom line of 21st century business. Capstone.
Geissdoerfer, M., Savaget, P., Bocken, N. M. P., & Hultink, E. J. (2017). The circular economy: A new sustainability paradigm. Journal of Cleaner Production, 143, 757-–768. https://doi.org/10.1016/j.jclepro.2016.12.048
International Organization for Standardization (ISO). (2015a). ISO 9001:2015 quality management systems. https://www.iso.org/standard/62085.html
International Organization for Standardization (ISO). (2015b). ISO 14001:2015 environmental management systems. https://www.iso.org/standard/60857.html
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408-425. DOI: 10.1016/j.psep.2018.05.009
Kirchherr, J., Reike, D., & Hekkert, M. (2017). Conceptualizing the circular economy: An analysis of 114 definitions. Resources, Conservation and Recycling, 127, 221-232. https://doi.org/10.1016/j.resconrec.2017.09.005
Likert, R. (1932). A technique for measurement of attitudes. Archives of Psychology, 140, 5-55.
MacArthur, E. (2013). Towards the circular economy. Journal of industrial ecology, 2(1), 23-44.
National Statistical Office. (2025). Types of waste in the agro-industrial sector in the lower northern region, 2021-2025. http://www.nso.go.th
Nikolopoulou, K. (2023, June 22). What is purposive sampling? Definition & examples. Scribbr. https://www.scribbr.com/methodology/purposive-sampling/
Phitsanulok Provincial Industry Office. (2022). Industrial development action plan for the lower northern province cluster 1 (2023-2027). Ministry of Industry.
Porter, M. E., & van der Linde, C. (1995). Toward a new conception of the environment–competitiveness relationship. Journal of Economic Perspectives, 9(4), 97-118. http://dx.doi.org/10.1257/jep.9.4.97
Rowe, G., & Wright, G. (1999). The Delphi technique as a forecasting tool: Issues and analysis. International Journal of Forecasting, 15(4), 353-375. DOI: 10.1016/S0169-2070(99)00018-7
Singh, J., & Ordoñez, I. (2016). Resource recovery from post-consumer waste: Important lessons for the circular economy. Journal of Cleaner Production, 134, 342-353. DOI: 10.1016/j.jclepro.2015.12.020
Sony, M., & Naik, S. (2020). Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model. Technology in Society, 61, 101248. https://doi.org/10.1016/j.techsoc.2020.101248
Sterman, J. D. (2000). Business dynamics: Systems thinking and modeling for a complex world. McGraw-Hill.
Womack, J. P., & Jones, D. T. (2003). Lean thinking. Free Press.
Yamane, T. (1973). Statistics: An introductory analysis (3rd ed.). Harper & Row.
Zhu, Q., & Sarkis, J. (2004) Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. Journal of Operations Management, 22, 265-289. http://dx.doi.org/10.1016/j.jom.2004.01.005