{"title":"Green innovation in manufacturing enterprises and digital transformation","authors":"YANG Tingting , XU Botong","doi":"10.1016/j.eap.2024.12.024","DOIUrl":null,"url":null,"abstract":"<div><div>China's manufacturing industry accounts for the largest share of added value in the world, but there are problems such as high energy consumption and low efficiency. Digital transformation is crucial to green innovation in manufacturing and thus green transformation. Therefore, this paper selects listed manufacturing companies from 2013 to 2020 as the research object to build an empirical model to test whether digital transformation can improve the quality of enterprise green innovation. The findings are as follows: First, digital transformation can promote the improvement of green innovation efficiency and innovation quality of listed companies, but also inhibit the application of green utility model patents; Second, the digital transformation of listed companies has an important impact on the green innovation output of their subsidiaries. On the one hand, it increases the application of green invention patents of subsidiaries, and on the other hand, it significantly inhibits low-quality green patents. Third, digital transformation promotes the improvement of green innovation efficiency and the increase of green output by influencing enterprises' R&D investment.</div></div>","PeriodicalId":54200,"journal":{"name":"Economic Analysis and Policy","volume":"85 ","pages":"Pages 571-578"},"PeriodicalIF":7.9000,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Analysis and Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S031359262400362X","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
China's manufacturing industry accounts for the largest share of added value in the world, but there are problems such as high energy consumption and low efficiency. Digital transformation is crucial to green innovation in manufacturing and thus green transformation. Therefore, this paper selects listed manufacturing companies from 2013 to 2020 as the research object to build an empirical model to test whether digital transformation can improve the quality of enterprise green innovation. The findings are as follows: First, digital transformation can promote the improvement of green innovation efficiency and innovation quality of listed companies, but also inhibit the application of green utility model patents; Second, the digital transformation of listed companies has an important impact on the green innovation output of their subsidiaries. On the one hand, it increases the application of green invention patents of subsidiaries, and on the other hand, it significantly inhibits low-quality green patents. Third, digital transformation promotes the improvement of green innovation efficiency and the increase of green output by influencing enterprises' R&D investment.
期刊介绍:
Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.