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:: Volume 12, Issue 51 (Winter 2016 2017) ::
QEER 2017, 12(51): 151-179 Back to browse issues page
An Appraisal of Spatial club convergence of Iran’s province-level industrial energy efficiency
Abstract:   (3633 Views)

The purpose of this study is to analysis of  convergence among  Iran’s province-level industrial energy efficiency over the period of 2004 to 2013. In this regard, data envelopment analysis method (DEA) was adopted to  calculate the total-factor energy efficiency (TFEE) of Iran’s provincial industrial energy efficiency and  then,  using Transition probability matrix of Markov and Matrix of spatial Markov transition probability, club convergence and spatial club convergence is studied. According to the results Semnan and Bushehr provinces had the most energy efficiency in their industrial sector while Ilam and West Azerbaijan provinces had the lowest energy efficiency. In addition, the results suggest province-level industrial energy efficiency in Iran has been globally characterized by “club convergence” So that a high-efficiency spatial lag increased the probability of transmission to high-efficiency club. Thus increasing regional cooperation in provinces with high efficiency in order to strengthen the neighboring provinces could have a positive impact on their efficiency.

Keywords: Efficiency, Energy, Spatial Club Convergence, Industry
Full-Text [PDF 535 kb]   (1469 Downloads)    
Type of Study: Research | Subject: Energy Economic
Received: 2016/03/7 | Accepted: 2016/11/20 | Published: 2017/04/15 | ePublished: 2017/04/15
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An Appraisal of Spatial club convergence of Iran’s province-level industrial energy efficiency. QEER 2017; 12 (51) :151-179
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Volume 12, Issue 51 (Winter 2016 2017) Back to browse issues page
فصلنامه مطالعات اقتصاد انرژی Quarterly Energy Economics Review
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