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Estimating the Demand for Diesel in Agriculture Sector of Iran

Author

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  • Lotfali Agheli

    (Economic Research Institute, Tarbiat Modares University, Iran.)

Abstract

This paper estimates per capita demand for diesel by agricultural sector in Iran using auto-regressive distributed lags method over 1973-2012. The findings indicate that the demand for diesel is relatively inelastic in response to changes in its price, electricity acts as substitute input for diesel, diesel is a necessary input in agriculture, and mechanization index, despite having expected positive sign, fails to explain variations in diesel use. In addition, there is a long-run relationship among variables. According to error correction model, the speed of adjustment in short-run distortions towards longrun equilibrium is moderate. The findings show that government policy on cutting energy subsidies is not enough for reducing diesel consumption in Iranian agricultural sector. Thus, non-price measures such as innovations in inter-fuel substitution technologies and applying efficient machineries are recommended to manage energy uses in agriculture.

Suggested Citation

  • Lotfali Agheli, 2015. "Estimating the Demand for Diesel in Agriculture Sector of Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 660-667.
    • Handle: RePEc:eco:journ2:2015-03-03
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    References listed on IDEAS

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    Cited by:

    1. Zeynep Ceylan, 2020. "Assessment of agricultural energy consumption of Turkey by MLR and Bayesian optimized SVR and GPR models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 944-956, September.
    2. Tomasz Rokicki & Aleksandra Perkowska & Bogdan Klepacki & Piotr Bórawski & Aneta Bełdycka-Bórawska & Konrad Michalski, 2021. "Changes in Energy Consumption in Agriculture in the EU Countries," Energies, MDPI, vol. 14(6), pages 1-21, March.
    3. Vahid Mohamad Taghvaee & Abbas Assari Arani & Susanne Soretz & Lotfali Agheli, 2023. "Diesel demand elasticities and sustainable development pillars of economy, environment and social (health): comparing two strategies of subsidy removal and energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2285-2315, March.

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    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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