The Application of Detrital Actors in Industrial Systems

A Systematic Approach to Optimizing Regional Industrial Networks for High Eco-Efficiency Transformation

Industrial networks have become intricately interwoven, utilizing material resources to meet humanity's needs. Recently, sustainable technologies have been pursued to enhance industrial efficiency and reduce environmental and resource impacts. However, current research lacks a comprehensive methodology and typical cases for constructing efficient resource-based industrial networks. Hence, this study employs a comprehensive approach to identify and construct efficient industrial networks from a holistic perspective. Using the Qinghai Saline Lake industrial zone as an example, this research elaborates on establishing and evaluating highly efficient regional industrial networks. It evaluates the eco-efficiency of 184 technologies based on resource development and constructs an efficient resource industry network for the development of the Qinghai Salt Lake using natural resources such as coal, oil, natural gas, and various types of ores as the initial stage and analyzes the characteristics of the industry network with different efficiencies. The research findings emphasize that solely scrutinizing technological efficiency and focusing on either the upstream raw processing network or the downstream deep-processing network while neglecting interactions within the industrial network can constrain the network's overall efficiency and hinder synergy between resources and the environment throughout the entire network. The method applies to constructing, evaluating, and optimizing industrial zones with resource endowments.

A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms

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.