Regional total-factor energy efficiency and electricity saving potential of manufacturing industry in Turkey


Ozkara Y., ATAK M.

ENERGY, cilt.93, ss.495-510, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 93
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1016/j.energy.2015.09.036
  • Dergi Adı: ENERGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.495-510
  • Anahtar Kelimeler: Turkish manufacturing industry, Data envelopment analysis, Regional total-factor energy efficiency, Electricity saving potential, Undesirable output, DATA ENVELOPMENT ANALYSIS, MODELING UNDESIRABLE FACTORS, ENVIRONMENTAL EFFICIENCY, CHINA, PERFORMANCE, DEA
  • Gazi Üniversitesi Adresli: Evet

Özet

Regional energy and environmental efficiency measurement is a noteworthy research topic regarding regional development. Data Envelopment Analysis is a suitable technique in the studies of energy and environmental efficiency. This study investigates the efficiency and total-factor energy efficiency scores of the manufacturing industry in 26 regions of Turkey between the years 2003 and 2012, using four data envelopment analysis models supported by a total-factor framework. The first and the second models are based on absence and presence of undesirable outputs, respectively; the third model and the proposed new model aims to maximize energy saving potential considering undesirable outputs. The empirical results show that TR10-Istanbul region is the best performer and acts as a model for inefficient regions with its production composition. Total electricity saving potential is investigated per each region and for the manufacturing industry per each year between years 2003-2012. It is observed that Turkish manufacturing industry has an average electricity saving potential of 39.7%, which reaches its highest in 2004 and lowest in 2012. Another important finding of this study is the existence of a U-shaped relationship between gross value added per capita as regional development indicator and efficiency as well as total-factor energy efficiency index. (C) 2015 Elsevier Ltd. All rights reserved.