Measuring carbon emission performance in China's energy market: Evidence from improved non-radial directional distance function data envelopment analysis
提出一种改进的非径向方向距离函数数据包络分析模型，测度2016-2020年中国东部15家电力企业的环境绩效，发现绩效虽有提升但仍较低且不稳定，技术效率和规模效率是主要影响因素。
• A new method for measuring environmental performance is proposed. • Improved non-radial directional distance function data envelopment analysis. • A global non-radial Malmquist-Luenberger productivity index. • Eastern China's power market's environmental performance has improved but is unstable. • Technical and scale efficiency greatly affect power enterprises’ environmental performance. The most complex challenge facing the energy market is identifying effective solutions to reduce CO 2 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.