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Energy Efficiency
Erschienen in: Energy Efficiency 8/2019

27.12.2018 | Original Research

Environmental efficiency evaluation of Turkish cement industry: an application of data envelopment analysis

verfasst von: Ceren Dirik, Serap Şahin, Pınar Engin

Erschienen in: Energy Efficiency | Ausgabe 8/2019

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Abstract

Carbon dioxide (CO2) is the main determinant to the process of global warming among other greenhouse gases (GHGs). As being responsible for the largest part of the CO2 emissions from industrial activities, the cement sector has an important position for Turkey on the path to achieving CO2 reduction targets. By referencing the relationship between cement industry and CO2 emissions based upon this sector, we aim to analyze environmental efficiency of the Turkish cement industry at firm level and attempt to reveal a comparison study under both output-oriented and non-oriented approaches with the aid of radial and non-radial Data Envelopment Analysis (DEA) models: (i) the output-oriented BCC model; (ii) the output-oriented slack-based measures (SBM) model; (iii) the non-oriented SBM model; and (iv) the non-oriented super-efficiency SBM model. In this context, CO2 emission is considered an undesirable output and relative efficiency of 51 integrated cement factories operating in Turkey for the year 2016 is evaluated. Within the scope of this paper, efficiency scores, reference sets and target values are also determined and a list of measures are proposed. According to the results, only 15.7% of all integrated cement factories are identified as being relatively efficient in all models and a clear imbalance among cement factories in terms of environmental efficiency is determined. Moreover, it is concluded that the output-oriented BCC, output-oriented SBM, and non-oriented SBM models are highly correlated and monotonically related in the presence of undesirable output. The empirical findings also suggest that up to 5.13% CO2 emissions saving can be achieved by taking the necessary precautions.
Vorheriger Artikel Large scale residential energy efficiency prioritization enabled by machine learning
Nächster Artikel A hybrid approach to model and forecast the electricity consumption by NeuroWavelet and ARIMAX-GARCH models

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Fußnoten
1
United Nations Framework Convention on Climate Change (UNFCCC) is the first intergovernmental agreement in the fight against anthropogenic global warming. It was signed in 1992 and entered into force in 1994.
 
2
Within the scope of UNFCCC, meetings called Conference of the Parties (COP), where all parties to the Convention come together and negotiate, have been conducted every year. COP 3 is one of the most important of these meetings with the adoption of Kyoto Protocol which established binding targets for industrial countries to reduce the concentrations of atmospheric GHGs (UNFCCC 2006).
 
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Metadaten
Titel
Environmental efficiency evaluation of Turkish cement industry: an application of data envelopment analysis
verfasst von
Ceren Dirik
Serap Şahin
Pınar Engin
Publikationsdatum
27.12.2018
Verlag
Springer Netherlands
Erschienen in
Energy Efficiency / Ausgabe 8/2019
Print ISSN: 1570-646X
Elektronische ISSN: 1570-6478
DOI
https://doi.org/10.1007/s12053-018-9764-z

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