Ying Liu, Hongyun Huang, William Mbanyele, Xin Li, Tomas Balezentis
{"title":"Harnessing supply chain digital innovation for enhanced corporate environmental practices and sustainable growth","authors":"Ying Liu, Hongyun Huang, William Mbanyele, Xin Li, Tomas Balezentis","doi":"10.1016/j.eneco.2024.108161","DOIUrl":null,"url":null,"abstract":"Seeking to implement the sustainable development goals (SDGs), the integration of digital technologies in supply chains emerges as a promising tool to address environmental challenges and improve operational efficiency. Utilizing the supply chain innovation and application pilot policy as a quasi-natural experiment, we assess the causal impact of supply chain digitization on corporate environmental practices. Our findings reveal that supply chain digital innovation substantially enhances corporate environmental practices. We discuss four underlying economic mechanisms behind this causality: efficiency, governance, resource allocation, and innovation improvements. Furthermore, the impact is more pronounced for industries with high transportation costs, as well as for non-high-tech sectors and non-state-owned enterprises. When companies face weaker environmental regulations, this effect is further amplified. Moreover, we examine the spillover effects of supply chain digital innovation on the environmental practices of upstream and downstream enterprises. The results suggest that supply chain digital innovation could trigger desirable economic consequences by exerting positive impacts on sales volume and market value. These findings offer practical implications for policymakers to leverage smart and digital supply chain systems in attaining SDGs.","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"66 1","pages":""},"PeriodicalIF":13.6000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1016/j.eneco.2024.108161","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Seeking to implement the sustainable development goals (SDGs), the integration of digital technologies in supply chains emerges as a promising tool to address environmental challenges and improve operational efficiency. Utilizing the supply chain innovation and application pilot policy as a quasi-natural experiment, we assess the causal impact of supply chain digitization on corporate environmental practices. Our findings reveal that supply chain digital innovation substantially enhances corporate environmental practices. We discuss four underlying economic mechanisms behind this causality: efficiency, governance, resource allocation, and innovation improvements. Furthermore, the impact is more pronounced for industries with high transportation costs, as well as for non-high-tech sectors and non-state-owned enterprises. When companies face weaker environmental regulations, this effect is further amplified. Moreover, we examine the spillover effects of supply chain digital innovation on the environmental practices of upstream and downstream enterprises. The results suggest that supply chain digital innovation could trigger desirable economic consequences by exerting positive impacts on sales volume and market value. These findings offer practical implications for policymakers to leverage smart and digital supply chain systems in attaining SDGs.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.