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Related Concept Videos

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  9. Air Pollution Modelling And Control
  11. Achieving Pollution Abatement And Carbon Reduction Synergistically: How Can Industrial Robots Play A Role?
  1. Home
  3. Research Domains
  5. Engineering
  7. Environmental Engineering
  9. Air Pollution Modelling And Control
  11. Achieving Pollution Abatement And Carbon Reduction Synergistically: How Can Industrial Robots Play A Role?

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Achieving pollution abatement and carbon reduction synergistically: How can industrial robots play a role?

Chongchong Xu1, Helen Lv Zhang1, Boqiang Lin1

  • 1School of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian, 361005, China.

Journal of Environmental Management
|December 25, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Industrial robots reduce pollution and carbon emissions by improving cleaner production, not just end-of-pipe treatment. This green intelligent manufacturing approach benefits large, tech-focused companies.

Keywords:
Carbon reductionCleaner productionPollution abatementRobot adoption

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Area of Science:

  • Industrial Ecology
  • Environmental Economics
  • Manufacturing Engineering

Background:

  • Intelligent manufacturing and green development are crucial for China's economic growth.
  • The role of industrial robots in synergistic pollution control and carbon reduction is under-explored.
  • Existing literature lacks micro-level analysis on robot adoption's environmental impact.

Purpose of the Study:

  • To investigate the impact of industrial robot adoption on enterprise pollution abatement and carbon reduction.
  • To identify the mechanisms through which robot adoption influences environmental performance.
  • To explore the heterogeneity of these effects across different enterprise types and regions.

Main Methods:

  • Utilizing a unique micro dataset encompassing robot adoption, energy use, emissions, and economic factors.
Synergistic effect
  • Employing econometric analysis to establish causal links between robotization and environmental outcomes.
  • Conducting detailed mechanism analysis to differentiate between cleaner production and pollution treatment effects.

    • Main Results:

    • Robot adoption leads to simultaneous reductions in sulfur dioxide (SO2) and carbon emission intensity.
    • The primary driver of these synergistic effects is front-end cleaner production practices.
    • Key mechanisms include lean production, cleaner energy consumption, and technological innovation.

    Conclusions:

    • Robot adoption fosters green intelligent manufacturing by enhancing both pollution control and carbon reduction.
    • The benefits are concentrated in large-scale, technology-intensive, and non-resource-based enterprises.
    • Findings offer practical insights for integrating digital intelligence with green economy strategies.