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Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes

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  • Pérez, Karen
  • González-Araya, Marcela C.
  • Iriarte, Alfredo

Abstract

Global warming produced mainly by the emission of greenhouse gases is currently a worldwide concern. In the last few decades since the 1950s many of the changes observed in the world climate have been meaningful. This paper presents an analysis of energy efficiency and of greenhouse gas emissions in the Chilean manufacturing industry by region and sector taking into consideration time sequences. Data Envelopment Analysis (DEA) models are used for the analysis. Three ways to handle undesirable outputs are compared, the source of inefficiency in each decision making unit (DMU) is calculated using scale efficiency, and the evolution over time is analyzed using the Malmquist index. The results indicate that the industries located in the Chilean regions of Coquimbo, La Araucania and Aysen were the most efficient while the industries in the regions of Tarapaca, Antofagasta and Biobio were less efficient. The most efficient industrial sectors were those involving communications equipment, base metals, and clothing; the least efficient were those concerned with food and beverages, textiles and nonmetallic minerals. Due to the treatment of the undesirable outputs, differences were found in the efficiency indexes obtained by the three models. This finding suggests using a model better adapted to the characteristics of the outputs in question and the viability of improving industrial practices.

Suggested Citation

  • Pérez, Karen & González-Araya, Marcela C. & Iriarte, Alfredo, 2017. "Energy and GHG emission efficiency in the Chilean manufacturing industry: Sectoral and regional analysis by DEA and Malmquist indexes," Energy Economics, Elsevier, vol. 66(C), pages 290-302.
  • Handle: RePEc:eee:eneeco:v:66:y:2017:i:c:p:290-302
    DOI: 10.1016/j.eneco.2017.05.022
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    17. Tao Xu & Jianxin You & Yilei Shao, 2020. "Efficiency of China’s Listed Securities Companies: Estimation through a DEA-Based Method," Mathematics, MDPI, vol. 8(4), pages 1-16, April.

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    More about this item

    Keywords

    Data envelopment analysis; Eco-efficiency; Chilean manufacturing industry; Greenhouse gas emissions; Undesirable outputs; Malmquist index;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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