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Measuring green technology progress in large-scale thermoelectric enterprises based on Malmquist–Luenberger life cycle assessment

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  • Song, Malin
  • Zheng, Wanping
  • Wang, Shuhong

Abstract

The Malmquist–Luenberger (ML) method is generally used for the overall evaluation of the green technology progress of decision-making units (DMUs) rather than that of subsystems. Life cycle assessment (LCA) can be applied to assess environmental effects but not measure technology progress. By combining the two methods and improving the ML productivity index, this study proposes an ML-LCA model. We find that the weighted computation of the rate of green technology progress for each subsystem based on weights acquired using LCA can effectively reveal the deep-seated production and management experiences of enterprises. To test the method in practical terms, this study analyzes the production processes of 1372 thermoelectric enterprises in China from 2004 to 2013, and measures their green technological progress using the ML-LCA method. Our findings indicate that the proposed ML-LCA method can effectively derive the conditions underlying the changes in each DMU during the evaluation period.

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  • Song, Malin & Zheng, Wanping & Wang, Shuhong, 2017. "Measuring green technology progress in large-scale thermoelectric enterprises based on Malmquist–Luenberger life cycle assessment," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 261-269.
  • Handle: RePEc:eee:recore:v:122:y:2017:i:c:p:261-269
    DOI: 10.1016/j.resconrec.2017.03.001
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    3. Zhang, Junfeng & Fang, Hong & Wang, Hongxia & Jia, Mingshun & Wu, Junjie & Fang, Siran, 2017. "Energy efficiency of airlines and its influencing factors: A comparison between China and the United States," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 1-8.
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    6. Wei, Fangqing & Peng, Fei & Liu, Mengyue & Jiang, Ruixue, 2024. "Carbon productivity growth in China's thermal power industry: Empirical evidence using a bootstrapped Malmquist-Luenberger productivity index approach with fixed-sum undesirable outputs," Energy, Elsevier, vol. 304(C).
    7. Yan Yu & Xinxin Gao & Wenqing Meng & Yujia He & Chenhe Zhang, 2022. "Industrial Structure Optimization of Wuhan Urban Agglomeration Based on TFP and Industrial Spatial Linkages," Land, MDPI, vol. 11(10), pages 1-13, September.
    8. Zhang, Hongwei & Shao, Yanmin & Han, Xiping & Chang, Hsu-Ling, 2022. "A road towards ecological development in China: The nexus between green investment, natural resources, green technology innovation, and economic growth," Resources Policy, Elsevier, vol. 77(C).

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