Modeling Energy Intensity in Iranian Manufacturing Industries | ||
| مدلسازی اقتصادسنجی | ||
| Article 2, Volume 2, Issue 1 - Serial Number 4, September 2016, Pages 33-57 PDF (1.26 M) | ||
| Document Type: Original Article | ||
| DOI: 10.22075/jem.2017.2654 | ||
| Authors | ||
| Saeed Rasekhi* 1; Seyed Peyman Asadi2; Maede Kiani3 | ||
| 1Professor in Economics, Department of Economics,University of Mazandaran | ||
| 2Ph.D. Student in Economics, Department of Economics, University of Mazandaran | ||
| 3MA in Economics, Department of Economics, University of Mazandaran | ||
| Receive Date: 24 June 2016, Revise Date: 25 September 2017, Accept Date: 02 October 2016 | ||
| Abstract | ||
| The main purpose of this paper is to model the types of energy intensity in Iranian manufacturing industries. For this, by using the very last micro data, we have decomposed the energy intensity into its types at the 3 and 4 digit aggregate level of ISIC classification. After that, we have modeled the energy intensity types by employing a panel data model. Based on the results obtained from the different methods of measuring the numerical index of decomposition, the factors influencing energy intensity are more fitted when employing non-Divisian indices (Laspeyres, Paasche, and Fisher). Among non Divisian indices, the model with the multiplicative Divisia index has the most explanation power. The results from the model estimated also indicate the intensity of labor has a significant and positive effect on energy intensity in the manufacturing industries. In contrast, capital intensity, profit intensity, energy consumption ratio, energy substitution ratio and technology have a significant and negative effect on energy intensity. Furthermore, R&D intensity and firm size influence on energy intensity non-linearly and significantly. | ||
| Keywords | ||
| modeling; Energy Intensity Decomposition; Structural and intensity effects; Manufacturing Industry; Iran | ||
| References | ||
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