IDEAS home Printed from https://ideas.repec.org/a/eee/ecmode/v36y2014icp341-347.html
   My bibliography  Save this article

Estimation of demand function for natural gas in Iran: Evidences based on smooth transition regression models

Author

Listed:
  • Kani, Alireza H.
  • Abbasspour, Madjid
  • Abedi, Zahra

Abstract

This paper attempts to study the demand function of natural gas in Iran using smooth transition regression model (STR). To this end, gross domestic productions (GDP), real price of natural gas and temperature have been employed as variables explaining the natural gas demand from 1971 to 2009. The results indicate that natural gas demand follows an LSTR1 nonlinear two-regime model if the real price of natural gas is considered as the transition variable. Estimation results also indicate that the slope parameter approximately equals the high value of 10 and the threshold value is 31.82Rials111 USD=24,700 Rials (IRR) @ April 2013. per one cubic meter consumption of natural gas. The results strongly suggest that natural gas demand follows the gross domestic production during the last years, but temperature has no significant impact on natural gas demand in Iran.

Suggested Citation

  • Kani, Alireza H. & Abbasspour, Madjid & Abedi, Zahra, 2014. "Estimation of demand function for natural gas in Iran: Evidences based on smooth transition regression models," Economic Modelling, Elsevier, vol. 36(C), pages 341-347.
    • Handle: RePEc:eee:ecmode:v:36:y:2014:i:c:p:341-347
    DOI: 10.1016/j.econmod.2013.10.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264999313004331
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econmod.2013.10.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Joëts, Marc & Mignon, Valérie, 2012. "On the link between forward energy prices: A nonlinear panel cointegration approach," Energy Economics, Elsevier, vol. 34(4), pages 1170-1175.
    2. Dick van Dijk & Timo Terasvirta & Philip Hans Franses, 2002. "Smooth Transition Autoregressive Models — A Survey Of Recent Developments," Econometric Reviews, Taylor & Francis Journals, vol. 21(1), pages 1-47.
    3. Shukla, P.R. & Dhar, Subash & Victor, David G. & Jackson, Mike, 2009. "Assessment of demand for natural gas from the electricity sector in India," Energy Policy, Elsevier, vol. 37(9), pages 3520-3534, September.
    4. Yoo, Seung-Hoon & Lim, Hea-Jin & Kwak, Seung-Jun, 2009. "Estimating the residential demand function for natural gas in Seoul with correction for sample selection bias," Applied Energy, Elsevier, vol. 86(4), pages 460-465, April.
    5. Bessec, Marie & Fouquau, Julien, 2008. "The non-linear link between electricity consumption and temperature in Europe: A threshold panel approach," Energy Economics, Elsevier, vol. 30(5), pages 2705-2721, September.
    6. Maddala, G S, et al, 1997. "Estimation of Short-Run and Long-Run Elasticities of Energy Demand from Panel Data Using Shrinkage Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 90-100, January.
    7. Payne, James E. & Loomis, David G. & Wilson, Renardo, 2011. "Residential Natural Gas Demand in Illinois: Evidence from the ARDL Bounds Testing Approach," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 41(2), pages 1-10.
    8. repec:dau:papers:123456789/8180 is not listed on IDEAS
    9. Moral-Carcedo, Julian & Vicens-Otero, Jose, 2005. "Modelling the non-linear response of Spanish electricity demand to temperature variations," Energy Economics, Elsevier, vol. 27(3), pages 477-494, May.
    10. repec:ags:jrapmc:133220 is not listed on IDEAS
    11. Aslan, Alper, 2011. "Does natural gas consumption follow a nonlinear path over time? Evidence from 50 US States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4466-4469.
    12. Herbert, John H., 1987. "Data matters -- Specification and estimation of natural gas demand per customer in the Northeastern United States," Computational Statistics & Data Analysis, Elsevier, vol. 5(1), pages 67-78.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Duygu Ekin Ayasli & Yeliz Yalcin & Serkan Sahin & M. Hakan Berument, 2023. "Turkish Straits and an Important Oil Price Benchmark: Urals," The Energy Journal, , vol. 44(4), pages 277-300, July.
    2. Jean Gaston Tamba & Salom Ndjakomo Essiane & Emmanuel Flavian Sapnken & Francis Djanna Koffi & Jean Luc Nsouand l & Bozidar Soldo & Donatien Njomo, 2018. "Forecasting Natural Gas: A Literature Survey," International Journal of Energy Economics and Policy, Econjournals, vol. 8(3), pages 216-249.
    3. Galadima, Mukhtar Danladi & Aminu, Abubakar Wambai, 2020. "Nonlinear unit root and nonlinear causality in natural gas - economic growth nexus: Evidence from Nigeria," Energy, Elsevier, vol. 190(C).
    4. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    5. Nawaz, Saima & Iqbal, Nasir & Anwar, Saba, 2014. "Modelling electricity demand using the STAR (Smooth Transition Auto-Regressive) model in Pakistan," Energy, Elsevier, vol. 78(C), pages 535-542.
    6. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2021. "Does ICT change the relationship between total factor productivity and CO2 emissions? Evidence based on a nonlinear model," Energy Economics, Elsevier, vol. 101(C).
    7. Jian Chai & Ting Liang & Xiaoyang Zhou & Yunxiao Ye & Limin Xing & Kin Keung Lai, 2016. "Natural Gas Consumption of Emerging Economies in the Industrialization Process," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    8. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    9. Mishra, Vinod & Smyth, Russell, 2016. "Are natural gas spot and futures prices predictable?," Economic Modelling, Elsevier, vol. 54(C), pages 178-186.
    10. Oliver, Matthew E., 2019. "Pricing flexibility under rate-of-return regulation: Effects on network infrastructure investment," Economic Modelling, Elsevier, vol. 78(C), pages 150-161.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jian Chai & Ting Liang & Xiaoyang Zhou & Yunxiao Ye & Limin Xing & Kin Keung Lai, 2016. "Natural Gas Consumption of Emerging Economies in the Industrialization Process," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    2. Burke, Paul J. & Yang, Hewen, 2016. "The price and income elasticities of natural gas demand: International evidence," Energy Economics, Elsevier, vol. 59(C), pages 466-474.
    3. Yoosoon Chang & Chang Sik Kim & J. Isaac Miller & Joon Y. Park & Sungkeun Park, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand," Working Papers 1409, Department of Economics, University of Missouri.
    4. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2014. "Time-varying Long-run Income and Output Elasticities of Electricity Demand with an Application to Korea," Energy Economics, Elsevier, vol. 46(C), pages 334-347.
    5. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Electricity demand elasticities and temperature: Evidence from panel smooth transition regression with instrumental variable approach," Energy Economics, Elsevier, vol. 33(5), pages 896-902, September.
    6. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
    7. Malzi, Mohamed Jaouad & Sohag, Kazi & Vasbieva, Dinara G. & Ettahir, Aziz, 2020. "Environmental policy effectiveness on residential natural gas use in OECD countries," Resources Policy, Elsevier, vol. 66(C).
    8. Li, Lanlan & Gong, Chengzhu & Tian, Shizhong & Jiao, Jianling, 2016. "The peak-shaving efficiency analysis of natural gas time-of-use pricing for residential consumers: Evidence from multi-agent simulation," Energy, Elsevier, vol. 96(C), pages 48-58.
    9. Khan, Muhammad Arshad, 2015. "Modelling and forecasting the demand for natural gas in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 1145-1159.
    10. Po-Chin Wu & Chung-Chih Lee, 2018. "The non-linear impact of monetary policy on international reserves: macroeconomic variables nexus," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(1), pages 165-185, February.
    11. Ahamada, Ibrahim & Coulibaly, Dramane, 2011. "How does financial development influence the impact of remittances on growth volatility?," Economic Modelling, Elsevier, vol. 28(6), pages 2748-2760.
    12. Davinson Stev Abril‐Salcedo & Luis Fernando Melo‐Velandia & Daniel Parra‐Amado, 2020. "Nonlinear relationship between the weather phenomenon El niño and Colombian food prices," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(4), pages 1059-1086, October.
    13. Psiloglou, B.E. & Giannakopoulos, C. & Majithia, S. & Petrakis, M., 2009. "Factors affecting electricity demand in Athens, Greece and London, UK: A comparative assessment," Energy, Elsevier, vol. 34(11), pages 1855-1863.
    14. Chabouni, Naima & Belarbi, Yacine & Benhassine, Wassim, 2020. "Electricity load dynamics, temperature and seasonality Nexus in Algeria," Energy, Elsevier, vol. 200(C).
    15. González, Andrés & Teräsvirta, Timo & van Dijk, Dick & Yang, Yukai, 2005. "Panel Smooth Transition Regression Models," SSE/EFI Working Paper Series in Economics and Finance 604, Stockholm School of Economics, revised 11 Oct 2017.
    16. Ge, Fei & Ye, Bin & Xing, Shengnan & Wang, Bao & Sun, Shuang, 2017. "The analysis of the underlying reasons of the inconsistent relationship between economic growth and the consumption of electricity in China – A case study of Anhui province," Energy, Elsevier, vol. 128(C), pages 601-608.
    17. Nawaz, Saima & Iqbal, Nasir & Anwar, Saba, 2014. "Modelling electricity demand using the STAR (Smooth Transition Auto-Regressive) model in Pakistan," Energy, Elsevier, vol. 78(C), pages 535-542.
    18. Po-Chin Wu & Shiao-Yen Liu & Ming-Fang Yang, 2017. "Nonlinear Exchange Rate Pass-Through: The Role of National Debt," Global Economic Review, Taylor & Francis Journals, vol. 46(1), pages 1-17, January.
    19. Hu, Wenxuan & Scholz, Yvonne & Yeligeti, Madhura & Deng, Ying & Jochem, Patrick, 2024. "Future electricity demand for Europe: Unraveling the dynamics of the Temperature Response Function," Applied Energy, Elsevier, vol. 368(C).
    20. Jumah Ahmad Alzyadat, 2022. "The Price and Income Elasticity of Demand for Natural Gas Consumption in Saudi Arabia," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 357-363, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecmode:v:36:y:2014:i:c:p:341-347. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30411 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.