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Measuring carbon emission performance in China's energy market: Evidence from improved non-radial directional distance function data envelopment analysis

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  • Pan, Yinghao
  • Wu, Jie
  • Zhang, Chao-Chao
  • Nasir, Muhammad Ali

Abstract

The most complex challenge facing the energy market is identifying effective solutions to reduce CO2 emissions (CEs) and enhance environmental performance (EP). Coal production within the power sector is the primary source of these emissions. In this study, we developed a novel linear programming model that accounts for undesirable outputs to assess the EP of 15 power enterprises in eastern China from 2016 to 2020. In addition, we employed a global non-radial Malmquist-Luenberger productivity index (GNML) to analyse the mechanisms influencing changes in efficiency among these enterprises. Our findings indicate that, while the EP of the power industry in eastern China improved, it remains at a relatively low level and exhibits instability. Moreover, technological efficiency (TE) and scale efficiency (SE) play a significant role in determining production efficiency within the sector. Therefore, it is essential for industry managers to implement standardized production management regulations, enhance technological development and scale investments, and strengthen control over unintended emissions that could facilitate energy transition.

Suggested Citation

  • Pan, Yinghao & Wu, Jie & Zhang, Chao-Chao & Nasir, Muhammad Ali, 2027. "Measuring carbon emission performance in China's energy market: Evidence from improved non-radial directional distance function data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 336(2), pages 673-682.
    • Handle: RePEc:eee:ejores:v:336:y:2027:i:2:p:673-682
    DOI: 10.1016/j.ejor.2024.11.019
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