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Exploring the Role of Digital Economy in Energy Optimization of Manufacturing Industry Under the Constraint of Carbon Reduction? Based on Spatial Panel Threshold Hybrid Model

Author

Listed:
  • Lingyao Wang

    (School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    These authors contributed equally to this work.)

  • Taofeng Wu

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China
    These authors contributed equally to this work.)

  • Fangrong Ren

    (College of Economics and Management, Nanjing Forestry University, Nanjing 210037, China)

Abstract

The development of the digital economy provides important opportunities and conditions for China to achieve the goal of carbon peak and carbon neutrality. Based on panel data from 30 provinces in mainland China from 2016 to 2022, this research investigates the spatial spillover effect and nonlinear impact of the digital economy on the energy optimization of the manufacturing industry using the spatial econometric and panel threshold model. It is found that both the digital economy and energy optimization of the manufacturing industry have a significant positive spatial correlation. The spatial econometric models under different weights all illustrate that the regional digital economy has not significantly promoted energy optimization of the manufacturing industry in a local region but produced a significant positive influence on the energy optimization of the manufacturing industry in neighboring regions. In addition, the impact of the digital economy on the energy optimization of the manufacturing industry presents a significant single threshold effect. With the improvement of digital economy, energy optimization of manufacturing industry has a U-shaped change trend. This study integrates the digital economy and manufacturing energy optimization into a cohesive analytical framework, elucidating the mechanisms through which the digital economy influences the restructuring of manufacturing energy and enhances energy efficiency while providing innovative pathways and theoretical support for advancing energy efficiency under carbon emission reduction constraints.

Suggested Citation

  • Lingyao Wang & Taofeng Wu & Fangrong Ren, 2025. "Exploring the Role of Digital Economy in Energy Optimization of Manufacturing Industry Under the Constraint of Carbon Reduction? Based on Spatial Panel Threshold Hybrid Model," Energies, MDPI, vol. 18(11), pages 1-26, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2717-:d:1663117
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