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May 7, 2026Business Strategy and the Environment1 citations

The Twin Transition: Does Intelligent Manufacturing Crowd Out or Catalyze Green Innovation?

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XLXinze LiYLYuhao LiuJGJiankun Gong

Key Points

  • This research investigates how intelligent manufacturing impacts green innovation and resource allocation in firms.
  • Examined the effects of the Intelligent Manufacturing Demonstration Project in China.
  • Utilized a staggered difference-in-differences design with 25,125 firm-year observations from 2010 to 2022.
  • Analyzed patent applications related to green invention and improvements in energy efficiency.
  • IMDP participation increased green invention patent applications by 27%.
  • Enhanced energy efficiency and reduced pollutant emissions were observed, particularly in nonstate-owned and capital-intensive firms.
  • Improved outcomes were linked to eased financing constraints and lowered agency costs, including human capital upgrades.

Abstract

ABSTRACT Firms facing the “twin transition” toward digital transformation and environmental sustainability face a critical resource allocation problem: Do capital‐intensive digital upgrades compete for resources with or catalyze investments in green innovation? We examine this issue within the context of China's Intelligent Manufacturing Demonstration Project (IMDP), a hybrid industrial policy combining digitalization and environmental targets. Using a staggered difference‐in‐differences design with 25,125 firm‐year observations (2010–2022), we find that IMDP participation boosts green invention patent applications by 27%. This innovation is substantive, reflected in enhanced energy efficiency and reduced pollutant emissions, especially among nonstate‐owned and capital‐intensive firms operating under strict environmental regulations. Mechanism analysis suggests that these effects occur through easing financing constraints, lowering agency costs, and upgrading human capital.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69fbefa3164b5133a91a3952https://doi.org/10.1002/bse.70931
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