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Industrial total factor CO2 emission performance assessment of Chinese heavy industrial province

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Abstract

Industry is the largest consumer of energy and CO2 emission sector. Recognizing the heterogeneity of total factor CO2 emission performances between various industrial sub-sectors is crucial for governments, to enable the compilation of effective industrial CO2 emission reduction policies. To determine the CO2 emission characteristics throughout the industry sectors, Liaoning province was selected as typical heavy industry province for analysis. Based on the input-output data of 37 industrial sub-sectors from 2003 to 2012, the industrial total factor CO2 emission efficiencies and performances were analyzed through data envelopment analysis (DEA) and the Malmquist-Luenberger productivity index. The results show that most sub-sectors have low total factor CO2 emission efficiencies, which indicates that it is difficult for Liaoning’s industry to reduce carbon emissions. The total factor CO2 emission performance of the overall industry declined by 1.85% per year during the study period; this decrease was mainly related to a lack in implementing technical changes. However, efficiency change showed a progressive trend. These findings indicate that to realize carbon reduction in heavy industry provinces within China, it is necessary to focus on expediting technical change.

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Abbreviations

DEA:

Data envelopment analysis

ML:

Malmquist-Luenberger

TFCEP:

Total factor CO2 emission performance

TC:

Technical change

EC:

Efficiency change

PTEC:

Pure technical efficiency change

SEC:

Scale efficiency change

TFCEE:

Total factor CO2 emission efficiency

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Acknowledgments

This work is supported by the [National Nature Science Foundation of China] under Grant [number 41473076, 41603068, and 41501605]; [CAS President’s International Fellowship for Visiting Scientists Project] under Grant [number 2017VCB0004].

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Authors and Affiliations

  1. Institute of Applied Ecology|, Chinese Academy of Sciences, Shenyang, 110016, People’s Republic of China

    Li Wang, Fengming Xi, Yan Yin, Jiaoyue Wang & Longfei Bing

  2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing, 100190, People’s Republic of China

    Li Wang

  3. University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China

    Li Wang

  4. Key Laboratory of Pollution Ecology and Environmental Engineering, Chinese Academy of Sciences, Shenyang, 110016, People’s Republic of China

    Fengming Xi, Yan Yin, Jiaoyue Wang & Longfei Bing

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  1. Li Wang
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Correspondence to Fengming Xi or Jiaoyue Wang.

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Wang, L., Xi, F., Yin, Y. et al. Industrial total factor CO2 emission performance assessment of Chinese heavy industrial province. Energy Efficiency 13, 177–192 (2020). https://doi.org/10.1007/s12053-019-09837-4

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