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Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children...
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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
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The algorithm Can't see everything: Human capital as the hidden variable in environmental technology success.

Xue Lei1, Ziyan Zhang1

  • 1School of Management, Shanghai University, Shanghai, 200444, China.

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Intelligent manufacturing policies boost corporate environmental performance by enhancing workforce skills and knowledge. This human capital development is key for digital-green transitions, especially in marketized regions and less constrained firms.

Keywords:
Environmental performanceHuman capital developmentIntelligent manufacturingPolicy assessment

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Area of Science:

  • Industrial Economics
  • Environmental Policy
  • Human Capital Theory

Background:

  • Global manufacturing faces pressure from digital innovation and environmental sustainability.
  • Existing research often overlooks the role of human capital in driving environmental improvements via policy.

Purpose of the Study:

  • To investigate how intelligent manufacturing pilot policies impact corporate environmental performance through human capital pathways.
  • To identify the specific human capital channels mediating this relationship.

Main Methods:

  • Employed a staggered difference-in-differences methodology.
  • Analyzed data from Chinese listed manufacturing firms between 2013-2023.

Main Results:

  • Intelligent manufacturing pilot designation significantly improves corporate environmental performance.
  • Key pathways include training investment, technical specialization, and workforce educational quality.
  • Policy effectiveness is stronger in marketized regions and among financially unconstrained firms.

Conclusions:

  • Human capital is a critical pathway for achieving digital-green transitions in manufacturing.
  • Findings offer empirical evidence for policymakers and educational institutions to design targeted support and training programs.