Institute of Innovation and Circular Economy, Asia University, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taiwan; Faculty of Economic and Management, University Kebangsaan Malaysia, Malaysia.
Institute of Innovation and Circular Economy, Asia University, Taiwan; Department of Business Administration, Asia University, Taiwan.
J Environ Manage. 2021 Aug 15;292:112735. doi: 10.1016/j.jenvman.2021.112735. Epub 2021 May 13.
Eco-industrial parks promise to reduce environmental and social impacts and improve the economic performance of industrial parks. However, the transition from industrial parks to eco-industrial parks is still not well understood. This study contributes to developing valid hierarchical eco-industrial park transition attribute sets with qualitative information, as prior studies lack an exploration of the attributes in the transition of eco-industrial parks in Hungary. In nature, eco-industrial park transition attributes have causal and hierarchical interrelationships and are described with qualitative information. The assessment involves an analysis of the industrial symbiosis principles by using linguistic preferences. However, multiple attributes are involved in the assessment; therefore, this study proposes the Delphi method to develop a valid attribute set and applies fuzzy set theory to translate qualitative information into crisp values. The fuzzy decision-making trial evaluation laboratory method is used to visualize the attributes' causal interrelationships under uncertainties. The results indicate that the policy and regulatory framework leads to collaboration among firms in the eco-industrial park transition model. In practice, price reforms, management commitment, strategic planning, cognitive barriers and the integration of external information are the practical criteria for improvement. Theoretical and practical implications are also discussed.
生态工业园区有望减少环境和社会影响，提高工业园区的经济绩效。然而，从工业园区向生态工业园区的转型仍未得到很好的理解。本研究有助于用定性信息开发有效的分层生态工业园区转型属性集，因为先前的研究缺乏对匈牙利生态工业园区转型属性的探索。在自然界中，生态工业园区转型属性具有因果和层次的相互关系，并以定性信息来描述。评估涉及到使用语言偏好对工业共生原则进行分析。然而，评估涉及多个属性；因此，本研究提出使用德尔菲法来开发有效的属性集，并应用模糊集理论将定性信息转换为清晰值。模糊决策试验和评价实验室方法用于在不确定条件下可视化属性的因果关系。结果表明，政策和监管框架导致了生态工业园区转型模式中企业之间的合作。在实践中，价格改革、管理承诺、战略规划、认知障碍以及外部信息的整合是改进的实际标准。还讨论了理论和实践意义。
