文献类型：期刊文献

英文题名：A Systematic Approach to Optimizing Regional Industrial Networks for High Eco-Efficiency Transformation

作者：Xie, Xin[1]; Fu, Hang[2]; Zhao, Kai[1]; Chen, Dingjiang[1]; Yu, Yadong[3]; Hu, Shanying[1]

机构：[1] Department of Chemical Engineering, Tsinghua University, Beijing, 100084, China; [2] School of Resources and Environment, Nanchang University, Nanchang, 330031, China; [3] School of Business, East China University of Science and Technology, Shanghai, 200237, China

年份：2025

卷号：59

期号：1

起止页码：384

外文期刊名：Environmental Science and Technology

收录：EI(收录号：20250117619617)

语种：英文

外文关键词：Coal deposits - Coal industry - Natural gas deposits

摘要：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. ? 2024 American Chemical Society.