Industrial metabolism analysis of a Chinese wine industry chain based on material flow and input–output analyses

Abstract

AbstractRecently, Chinese wine industry has developed rapidly and its sustainability has attracted increasing attention. However, the existing wine industry chain is short and its metabolic pathway and metabolic efficiency remain unknown. Therefore, we selected a representative wine company in China to conduct industrial metabolism analysis (IMA) research based on material flow analysis (MFA) and input–output analysis. MFA model and input–output matrix for the traditional industry chain (TIC) and ecological industry chain (EIC) of the investigated company were established to explore the material flow relationship between the industrial structure and the nodes. A new IMA evaluation index system was developed to evaluate the industrial metabolic efficiency and development trends of two scenarios considered in the study. The results showed that the addition of nodes in EIC promoted the reuse of byproducts and wastes, and reduced the waste of resources. The industrial metabolic efficiency of EIC was also higher than that of TIC. For example, the node material cycle coefficient (Ri) during the preliminary treatment and pressing and fermentation of EIC was increased by 0.041 and 0.127, respectively, compared with TIC. A correlation analysis showed that EIC nodes had stronger pull and push effects on upstream and downstream than those of TIC, and the influence coefficient (Uj) of viticulture and pressing and fermentation increased by 0.168 and 0.112, respectively. This study provides a scientific basis for optimizing the wine industrial layout, improving the overall environmental performance of the industry chain, and promoting sustainable development.