Volume 9, Issue 34 (12-2018)
jemr 2018, 9(34): 171-199 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Khoshkalam Khosroshahi M. Estimating the Direct Rebound Effect of Natural Gas Consumption in the Iranian Residential Sector with the Asymmetry of Gas Price Changes. jemr 2018; 9 (34) :171-199
URL: http://jemr.khu.ac.ir/article-1-1725-en.html
URL: http://jemr.khu.ac.ir/article-1-1725-en.html
Alzahra University , m.khosroshahi@alzahra.ac.ir
Abstract: (5423 Views)
Considering that the improvement of energy efficiency and the resulting rebound effect in the literature of energy economics is very important, hence the present paper uses the ARDL approach to estimate the direct rebound effect of the natural gas consumption in the residential sector in Iran. For this purpose, data from the period of 1986-2016 and the methodology based on the estimation of natural gas demand elasticity according to decomposed prices have been used. The results show that, firstly, the direct rebound effect of the natural gas consumption in the residential sector exists and, as a result, energy savings due to improved energy efficiency will be less than expected. Secondly, the direct rebound effect of natural gas demand in the short run is 69% and in the long run is 78%. Also, the findings indicate that there is no backfire effect of residential consumption of natural gas. Therefore, it is recommended to apply policies to improve the efficiency of natural gas consumption in Iran's domestic sector.
Type of Study: Applicable |
Subject:
انرژی، منابع و محیط زیست
Received: 2018/07/10 | Accepted: 2019/01/2 | Published: 2019/02/25
Received: 2018/07/10 | Accepted: 2019/01/2 | Published: 2019/02/25
References
1. Amjadi G., Lundgren T., and Persson L. (2018). The rebound Effect in Swedish Industry. Energy Economics. 71, 140-148. [DOI:10.1016/j.eneco.2018.02.001]
2. Aghaei M. (2016). Investigating the relationship between causality between energy consumption and economic growth by energy carriers and different economic sectors: Application of ARDL. Quarterly Journal of Energy Economics, 49, 103-161.
3. Annual Energy Outlook 2017 (with Projections to 2050), EIA.
4. Belaid F., Bakaloglou S., and Roubaud D. (2018). Direct rebound effect of residential gas demand: Empirical evidence from France. Energy Policy, 115, 23-31. [DOI:10.1016/j.enpol.2017.12.040]
5. Berkhout P., Muskens J., and Velthuijsen J. (2000). Defining the Rebound Effect. Energy Policy, 28, 425-432. [DOI:10.1016/S0301-4215(00)00022-7]
6. Carcedo J., and Otero J. (2005). Modelling the non-linear response of Spanish electricity demand to temperature variations. Energy Economics, 27(3), 477-494. [DOI:10.1016/j.eneco.2005.01.003]
7. Dargay J., and Gately D. (1995). The imperfect price reversibility of non- transport oil demand in the OECD. Energy Economics, 17(1), 59-71. [DOI:10.1016/0140-9883(95)98907-L]
8. Delangizan S., Khanzadi a., and Heidarian M. (2017). Estimation and analysis of direct rebound effects due to improved fuel efficiency in Iran's road transport sector. Quarterly Journal of Applied Economic Studies of Iran, 6(21), 149-172.
9. Energy Balance, Many Years.
10. Esmaeilnia A., and Ekhtyari S. (2012). Investigating the Rebound Effects of Improving Vehicle Efficiency on Fuel Consumption. Quarterly Journal of Energy Economics, 34, 185-213.
11. Freire-Gonzalez J. (2017). Evidence of direct and indirect rebound effect in households in EU-27 countries. Energy Policy, 102, 270-276. [DOI:10.1016/j.enpol.2016.12.002]
12. Greening, L., Greene, D., and Difiglio, C. (2000). Energy Efficiency and Consumption - the Rebound Effect - A Survey. Energy Policy, 28, 389-401. [DOI:10.1016/S0301-4215(00)00021-5]
13. Haas, R., and Biermayr, P. (2000). The rebound effect for space heating empirical evidence from Austria, Energy Policy, 28, 403-410. [DOI:10.1016/S0301-4215(00)00023-9]
14. http://sdwebx.worldbank.org/climateportal/
15. Khoshkalam Khosroshahi M., Jahangard M., and Abedian M. (2015). Improving the efficiency of gasoline consumption and its rebound effects in various economic activities. Quarterly Journal of Energy Economics, 44, 37-63.
16. Khoshkalam Khosroshahi M. (2017). Investigating the economic effects of using non-tariff policies on the use of energy carriers. Journal of Economic Modeling Research, 29, 37-72.
17. Lin, B., and Li, J. (2014). The rebound effect for heavy industry: Empirical evidence from China. Energy Policy, 74(C), 589-599. [DOI:10.1016/j.enpol.2014.08.031]
18. Lu, Y., Liu, Y. and Zhou, M. (2016). Rebound Effect of Improved Energy Efficiency for Different Energy Types: A General Equilibrium Analysis for China. CAMA Working Paper 38/2016. [DOI:10.2139/ssrn.2799474]
19. Manzoor D., Aghababaei M., and Hagigi I. (2010). Analyzing the Rebound Effects Caused by Improving Efficiency in Electricity Consumption in Iran: Computable General Equilibrium Model. Quarterly Journal of Energy Economics, 8(28), 1-23.
20. Salem A., and Akaberi M. (2017). Estimating the Direct Rebound Effect of Improving Power Consumption Efficiency in the Household Section of Urban Areas of Iran. Iranian Energy Economics Researches, 6(22), 45-74.
21. Shrani Z. (2017). Estimation of price and production stretch of natural gas demand function in the sub-sectors of Iran's basic metals production industries. Journal of Economic Modeling Research, 8(30), 170-218.
22. Sorrell, S. (2007). UKERC Review of Evidence for the Rebound Effect. UKERC.
23. Sorrell S., Dimitropoulos J. and Sommerville, M. (2009). Empirical Estimates of the Direct Rebound Effect: A Review. Energy Policy, 37, 1356-1371. [DOI:10.1016/j.enpol.2008.11.026]
24. Sorrell, S. and Dimitropoulos, J. (2006). The rebound effect: microeconomic definitions, extensions and limitations. In: Proceedings of the 29th IAEE International Conference. Potsdam, Germany.
25. Time Series data, Central Bank of Iran
26. Thomas, B. and Azevedo, I. (2013). Estimating direct and indirect rebound effects for U.S. households with input-output analysis. Part 2: Simulation. Ecological Economics, 86, 188-198. [DOI:10.1016/j.ecolecon.2012.12.002]
27. Wang Z, Lu M and Wand, J. (2014). Direct rebound effect on urban residential electricity use: An empirical study in China. Renewable and Sustainable Energy Reviews, 30, 124-132. [DOI:10.1016/j.rser.2013.09.002]
28. Wei, T. and Liu, Y. (2017). Estimation of global rebound effect caused by energy efficiency improvement. Energy Economics, 66, 27-34. [DOI:10.1016/j.eneco.2017.05.030]
29. https://data.worldbank.org/indicator/EN.POP.DNST
30. Zhang, Y. and Peng, H. (2016). Measuring the direct rebound effect of China's residential electricity consumption. Energy Procedia, 104, 305 - 310. [DOI:10.1016/j.egypro.2016.12.052]
31. Zhang, M, Song, Y, Li, P. and Li, H. (2016). Study on affecting factors of residential energy consumption in urban and rural Jiangsu. Renewable and Sustainable Energy Reviews, 53, 330-337. [DOI:10.1016/j.rser.2015.08.043]
Send email to the article author
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
