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Updated: Sep 17, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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China's energy economic efficiency evaluation based on novel dynamic network DEA.

Wenchao Pan1, Tsung-Xian Lin2,3, Huiqian Long1

  • 1School of Economics and Management, Hunan University of Science and Engineering, Yongzhou, China.

Scientific Reports
|July 2, 2025
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China

Keywords:
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Area of Science:

  • Energy Economics
  • Economic Growth Analysis
  • Sustainable Development

Background:

  • Energy is a key driver of global economic growth.
  • Improving energy economic efficiency and sustainability is crucial for China and the world.
  • China's energy sector requires in-depth efficiency evaluation.

Purpose of the Study:

  • To evaluate China's energy economic efficiency from 2015 to 2022.
  • To analyze the influencing factors on energy economic efficiency development.
  • To assess the progress and variations in energy R&D efficiency across Chinese provinces.

Main Methods:

  • Dynamic network Data Envelopment Analysis (DEA).
  • Panel data analysis from 2015-2022.
  • Evaluation of total factor productivity and scale efficiency.

Main Results:

  • China's energy economic total factor productivity showed an upward trend (2015-2022).
  • Efficiency was boosted by R&D progress but hindered by practical transformation and technical progress declines.
  • Energy R&D efficiency improved, but with significant inter-provincial disparities.

Conclusions:

  • China's energy economic efficiency is improving, driven by R&D.
  • Challenges remain in the practical application of R&D and consistent technical progress.
  • Provincial variations in energy R&D efficiency necessitate targeted strategies.