Green innovation in manufacturing enterprises and digital transformation

IF 8.7 2区经济学 Q1 ECONOMICS Economic Analysis and Policy Pub Date : 2025-03-01 Epub Date: 2024-12-20 DOI:10.1016/j.eap.2024.12.024

YANG Tingting , XU Botong

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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.

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制造业企业绿色创新与数字化转型

中国制造业增加值占世界第一，但存在能耗高、效率低等问题。数字化转型对于制造业的绿色创新和绿色转型至关重要。因此，本文选取2013 - 2020年制造业上市公司作为研究对象，构建实证模型，检验数字化转型是否能提高企业绿色创新质量。研究发现：第一，数字化转型能够促进上市公司绿色创新效率和创新质量的提升，但也抑制了绿色实用新型专利的申请；第二，上市公司数字化转型对子公司绿色创新产出有重要影响。一方面增加了子公司绿色发明专利的申请量，另一方面显著抑制了低质量的绿色专利。第三，数字化转型通过影响企业研发投入，促进绿色创新效率的提高和绿色产出的增加。

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来源期刊

Economic Analysis and Policy ECONOMICS-

CiteScore

9.80

自引率

9.20%

发文量

231

审稿时长

93 days

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.