IDEAS home Printed from https://ideas.repec.org/a/ags/ijamad/262679.html
   My bibliography  Save this article

Impact of Energy Subsidies Elimination on Technology Gap Ratio in Cucumber Production

Author

Listed:
  • Kenari, Reza Esfanjari
  • Karami, Zohre
  • Ahmadzade, Seyadeh Sedighe

Abstract

This paper presents an analysis of technical efficiency and technology gap ratio (TGR) in greenhouse cucumber in Fars Province, Iran. Cucumber production was chosen for this study for the reason that greenhouse productions in this province mainly have focused on this product. The data used in this study was obtained from a random sample of 127 greenhouse s in Fars Province for 2010 to 2011. Metafrontier production function model for firms was used within the parametric framework of stochastic frontier analysis (SFA). The frontier models are applied in the analysis of cross-sectional data by assuming a translog functional form. Results indicate that eliminating energy input subsidies has led to significant decrease in green- house cucumber production efficiency so that the mean technical efficiency declined from 98% to 67 % during 2010-2011. Furthermore, subsidies elimination has also led to decrease of the mean technology gap ratio in greenhouses from 0.92 to 0.87, in other words, it has caused more distance from efficient production frontier.

Suggested Citation

  • Kenari, Reza Esfanjari & Karami, Zohre & Ahmadzade, Seyadeh Sedighe, 2017. "Impact of Energy Subsidies Elimination on Technology Gap Ratio in Cucumber Production," International Journal of Agricultural Management and Development (IJAMAD), Iranian Association of Agricultural Economics, vol. 7(2), June.
  • Handle: RePEc:ags:ijamad:262679
    DOI: 10.22004/ag.econ.262679
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/262679/files/IJAMAD_Volume%207_Issue%202_Pages%20237-244.pdf
    Download Restriction: no

    File URL: https://ageconsearch.umn.edu/record/262679/files/IJAMAD_Volume%207_Issue%202_Pages%20237-244.pdf?subformat=pdfa
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.262679?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
    ---><---

    References listed on IDEAS

    as
    1. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    2. Víctor Moreira & Boris Bravo-Ureta, 2010. "Technical efficiency and metatechnology ratios for dairy farms in three southern cone countries: a stochastic meta-frontier model," Journal of Productivity Analysis, Springer, vol. 33(1), pages 33-45, February.
    3. Hossein Mehrabi Boshrabadi & Renato Villano & Euan Fleming, 2008. "Technical efficiency and environmental‐technological gaps in wheat production in Kerman province of Iran," Agricultural Economics, International Association of Agricultural Economists, vol. 38(1), pages 67-76, January.
    4. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    Full references (including those not matched with items on IDEAS)

    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. Saeid Hajihassaniasl & Recep Kök, 2016. "Scale effect in Turkish manufacturing industry: stochastic metafrontier analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-17, December.
    2. Temoso, Omphile & Hadley, David & Villano, Renato, 2016. "Performance Measurement of Extensive Beef Cattle Farms in Botswana," International Journal of Agricultural Sciences and Technology (IJAGST), SvedbergOpen, vol. 54(4), March.
    3. Evenson, Robert E. & Kimhi, Ayal & Desilva, Sanjaya, 2000. "Supervision And Transaction Costs: Evidence From Rice Farms In Bicol, The Philippines," 2000 Annual meeting, July 30-August 2, Tampa, FL 21788, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
    5. Lundgren, Tommy & Marklund, Per-Olov & Zhang, Shanshan, 2016. "Industrial energy demand and energy efficiency – Evidence from Sweden," Resource and Energy Economics, Elsevier, vol. 43(C), pages 130-152.
    6. Zuniga Gonzalez, Carlos Alberto, 2009. "Technical efficiency of organic fertilizer in small farms of Nicaragua: 1998-2005," MPRA Paper 49352, University Library of Munich, Germany, revised 24 Sep 2010.
    7. Abiodun Adegboye & Olawale Daniel Akinyele, 2022. "Assessing the determinants of government spending efficiency in Africa," Future Business Journal, Springer, vol. 8(1), pages 1-17, December.
    8. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measurement and Sources of Technical Inefficiency in the Tunisian Citrus Growing Sector," 103rd Seminar, April 23-25, 2007, Barcelona, Spain 9391, European Association of Agricultural Economists.
    9. Veronika Fenyves & Tibor Tarnóczi & Zoltán Bács & Dóra Kerezsi & Péter Bajnai & Mihály Szoboszlai, 2022. "Financial efficiency analysis of Hungarian agriculture, fisheries and forestry sector," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(11), pages 413-426.
    10. Xie, Bai-Chen & Zhang, Zhen-Jiang & Anaya, Karim L., 2021. "Has the unbundling reform improved the service efficiency of China's power grid firms?," Energy Economics, Elsevier, vol. 95(C).
    11. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
    12. Albalate, Daniel & Rosell, Jordi, 2019. "On the efficiency of toll motorway companies in Spain," Research in Transportation Economics, Elsevier, vol. 76(C).
    13. Gao, Song, 2010. "Privatization, Soft Budget Constraint, and Social Burdens: A Random-Effects Stochastic Frontier Analysis on Chinese Manufacturing Technical Efficiency," MPRA Paper 24765, University Library of Munich, Germany.
    14. Lachaal, Lassaad & Chebil, Ali & Dhehibi, Boubaker, 2004. "A Panel Data Approach to the Measurement of Technical Efficiency and its Determinants: Some Evidence from the Tunisian Agro-Food Industry," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 5(1), pages 1-9, January.
    15. Cazals Catherine & Dudley Paul & Florens Jean-Pierre & Jones Michael, 2011. "The Effect of Unobserved Heterogeneity in Stochastic Frontier Estimation: Comparison of Cross Section and Panel with Simulated Data for the Postal Sector," Review of Network Economics, De Gruyter, vol. 10(3), pages 1-22, September.
    16. Luis Antonio Galiano Bastarrica & Eva M. Buitrago Esquinas & María Ángeles Caraballo Pou & Rocío Yñiguez Ovando, 2023. "Environmental adjustment of the EU27 GDP: an econometric quantitative model," Environment Systems and Decisions, Springer, vol. 43(1), pages 115-128, March.
    17. Farnaz Pourzand & Mohammad Bakhshoodeh, 2014. "Technical effici ency and agricultural sustainability–technology gap of maize producers in Fars province of Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 16(3), pages 671-688, June.
    18. Frauke G. Braun & Astrid Cullmann, 2008. "Key Parameters and Efficiency of Mexican Manufacturing: Are There Still Differences between the North and the South? An Application of Nested and Stochastic Frontier Panel Data Models," Discussion Papers of DIW Berlin 816, DIW Berlin, German Institute for Economic Research.
    19. Abdul Wadud, 2013. "Impact of Microcredit on Agricultural Farm Performance and Food Security in Bangladesh," Working Papers 14, Institute of Microfinance (InM).
    20. Madau, Fabio A., 2011. "Parametric Estimation of Technical and Scale Efficiencies in Italian Citrus Farming," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(1).

    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:ags:ijamad:262679. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iraesea.html .

    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.