IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v31y2006i4p427-438.html

Energy inputs and crop yield relationship in greenhouse tomato production

Author

Listed:
  • Hatirli, Selim Adem
  • Ozkan, Burhan
  • Fert, Cemal

Abstract

This study examines energy use patterns and the relationship between energy inputs and yield for greenhouse tomato production in Antalya province of Turkey. The data used in this study were based on cross-sectional data collected from growers by using a face to face survey. The results revealed that diesel (34.35%), fertilizer (27.59%), electricity (16.01%), chemicals (10.19%) and human power (8.64%) consumed the bulk of energy. In the surveyed farms, average yield and energy consumption were calculated as around 160000kg/ha and 106716.2MJ/ha, respectively. The results also showed that output–input, specific energy and energy productivity were 1.2, 12380.3MJ/t and 0.09kg/MJ, respectively. The results implied that small size farms were more efficient than large ones in terms of output–input ratio. An econometric model was developed to estimate the impact of energy inputs on yield. Therefore, tomato yield, an endogenous variable was assumed to be a function of exogenous variables; fertilizer, chemicals, machinery, human, water for irrigation and seed energy. The empirical results indicated that all exogenous variables except seed energy were found statistically significant and contributed to yield. Among all statistically significant exogenous variables, human, fertilizer, water, chemicals and machinery were ranked in terms of elasticities. These results indicate that the Turkish greenhouse industry heavily depends on fossil fuels.

Suggested Citation

  • Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2006. "Energy inputs and crop yield relationship in greenhouse tomato production," Renewable Energy, Elsevier, vol. 31(4), pages 427-438.
    • Handle: RePEc:eee:renene:v:31:y:2006:i:4:p:427-438
    DOI: 10.1016/j.renene.2005.04.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S096014810500087X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.renene.2005.04.007?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Hatirli, Selim Adem & Ozkan, Burhan & Fert, Cemal, 2005. "An econometric analysis of energy input-output in Turkish agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 9(6), pages 608-623, December.
    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. Tabatabaie, Seyed Mohammad Hossein & Rafiee, Shahin & Keyhani, Alireza, 2012. "Energy consumption flow and econometric models of two plum cultivars productions in Tehran province of Iran," Energy, Elsevier, vol. 44(1), pages 211-216.
    2. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein & Shamshirband, Shahaboddin & Hamid, Siti Hafizah Ab, 2015. "Developing a fuzzy clustering model for better energy use in farm management systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 27-34.
    3. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Rafiee, Hamed, 2010. "Energy inputs – yield relationship and cost analysis of kiwifruit production in Iran," Renewable Energy, Elsevier, vol. 35(5), pages 1071-1075.
    4. Velasco-Fernández, Raúl & Dunlop, Tessa & Giampietro, Mario, 2020. "Fallacies of energy efficiency indicators: Recognizing the complexity of the metabolic pattern of the economy," Energy Policy, Elsevier, vol. 137(C).
    5. Zaman, Khalid & Khan, Muhammad Mushtaq & Ahmad, Mehboob & Rustam, Rabiah, 2012. "The relationship between agricultural technology and energy demand in Pakistan," Energy Policy, Elsevier, vol. 44(C), pages 268-279.
    6. Nan Li & Hailin Mu & Huanan Li & Shusen Gui, 2012. "Diesel Consumption of Agriculture in China," Energies, MDPI, vol. 5(12), pages 1-24, December.
    7. Pishgar-Komleh, S.H. & Sefeedpari, P. & Rafiee, S., 2011. "Energy and economic analysis of rice production under different farm levels in Guilan province of Iran," Energy, Elsevier, vol. 36(10), pages 5824-5831.
    8. Omidi-Arjenaki, Omid & Ebrahimi, Rahim & Ghanbarian, Davoud, 2016. "Analysis of energy input and output for honey production in Iran (2012–2013)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 952-957.
    9. Chandra, Ankit & Heeren, Derek M. & Odhiambo, Lameck & Brozović, Nicholas, 2023. "Water-energy-food linkages in community smallholder irrigation schemes: Center pivot irrigation in Rwanda," Agricultural Water Management, Elsevier, vol. 289(C).
    10. Pishgar-Komleh, Seyyed Hassan & Keyhani, Alireza & Mostofi-Sarkari, Mohammad Reza & Jafari, Ali, 2012. "Energy and economic analysis of different seed corn harvesting systems in Iran," Energy, Elsevier, vol. 43(1), pages 469-476.
    11. Houshyar, Ehsan & Azadi, Hossein & Almassi, Morteza & Sheikh Davoodi, Mohammad Javad & Witlox, Frank, 2012. "Sustainable and efficient energy consumption of corn production in Southwest Iran: Combination of multi-fuzzy and DEA modeling," Energy, Elsevier, vol. 44(1), pages 672-681.
    12. Arkaitz Usubiaga‐Liaño & Paul Behrens & Vassilis Daioglou, 2020. "Energy use in the global food system," Journal of Industrial Ecology, Yale University, vol. 24(4), pages 830-840, August.
    13. Heidari, M.D. & Omid, M. & Akram, A., 2011. "Energy efficiency and econometric analysis of broiler production farms," Energy, Elsevier, vol. 36(11), pages 6536-6541.
    14. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Yousefi, Marziye & Movahedi, Mehran, 2013. "Modeling of energy consumption and GHG (greenhouse gas) emissions in wheat production in Esfahan province of Iran using artificial neural networks," Energy, Elsevier, vol. 52(C), pages 333-338.
    15. Bozoğlu, Mehmet & Ceyhan, Vedat, 2009. "Energy conversion efficiency of trout and sea bass production in the Black Sea, Turkey," Energy, Elsevier, vol. 34(2), pages 199-204.
    16. Manzone, Marco & Calvo, Angela, 2017. "Woodchip transportation: Climatic and congestion influence on productivity, energy and CO2 emission of agricultural and industrial convoys," Renewable Energy, Elsevier, vol. 108(C), pages 250-259.
    17. Elahi, Ehsan & Weijun, Cui & Jha, Sunil Kumar & Zhang, Huiming, 2019. "Estimation of realistic renewable and non-renewable energy use targets for livestock production systems utilising an artificial neural network method: A step towards livestock sustainability," Energy, Elsevier, vol. 183(C), pages 191-204.
    18. Iosvany López-Sandin & Guadalupe Gutiérrez-Soto & Adriana Gutiérrez-Díez & Nancy Medina-Herrera & Edgar Gutiérrez-Castorena & Francisco Zavala-García, 2019. "Evaluation of the Use of Energy in the Production of Sweet Sorghum ( Sorghum Bicolor (L.) Moench) under Different Production Systems," Energies, MDPI, vol. 12(9), pages 1-13, May.
    19. Taheri-Rad, Alireza & Khojastehpour, Mehdi & Rohani, Abbas & Khoramdel, Surur & Nikkhah, Amin, 2017. "Energy flow modeling and predicting the yield of Iranian paddy cultivars using artificial neural networks," Energy, Elsevier, vol. 135(C), pages 405-412.
    20. Houshyar, Ehsan & Grundmann, Philipp, 2017. "Environmental impacts of energy use in wheat tillage systems: A comparative life cycle assessment (LCA) study in Iran," Energy, Elsevier, vol. 122(C), pages 11-24.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:renene:v:31:y:2006:i:4:p:427-438. 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.journals.elsevier.com/renewable-energy .

    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.