IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v189y2019ics036054421931953x.html
   My bibliography  Save this article

Measuring the energy consumption and energy efficiency in two-harvest-a-year grape cultivation

Author

Listed:
  • Tian, Dong
  • Zhang, Min
  • Xiong, Chuqiao
  • Mu, Weisong
  • Feng, Jianying

Abstract

This paper aims to assess two-harvest-a-year grape production system from the perspective of energy consumption and energy utilization. The primary data was collected through field investigation in Guangxi, China, and the raw data was converted to energy data by the energy equivalent to account the energy consumption. Furthermore, the energy data were processed based on Data Envelopment Analysis model to measure the energy efficiency in two-harvest-a-year grape cultivation. The results reveal that the total energy input and output in annual are 67630 MJ/ha and 50462 MJ/ha, and the energy input and output amounts in the first season are generally larger than that in the second season. However, energy input structures in two production seasons are quite similar for they both consume large proportions energy of chemical fertilizer and pesticide, which respectively are 41.65% and 25.20% in the first season and 39.29% and 25.66% in the second season. The average energy efficiency in the first season, the second season and annual is 0.805, 0.573 and 0.687, which reveals the firstly season is more efficient in energy utilization. Finally, some suggestions are proposed to optimize energy input structure and promote energy utilization efficiency of the production system.

Suggested Citation

  • Tian, Dong & Zhang, Min & Xiong, Chuqiao & Mu, Weisong & Feng, Jianying, 2019. "Measuring the energy consumption and energy efficiency in two-harvest-a-year grape cultivation," Energy, Elsevier, vol. 189(C).
    • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s036054421931953x
    DOI: 10.1016/j.energy.2019.116258
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S036054421931953X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.116258?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. Nassiri, Seyed Mehdi & Singh, Surendra, 2009. "Study on energy use efficiency for paddy crop using data envelopment analysis (DEA) technique," Applied Energy, Elsevier, vol. 86(7-8), pages 1320-1325, July.
    2. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    3. Blancard, Stéphane & Martin, Elsa, 2014. "Energy efficiency measurement in agriculture with imprecise energy content information," Energy Policy, Elsevier, vol. 66(C), pages 198-208.
    4. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    5. Vlontzos, George & Niavis, Spyros & Manos, Basil, 2014. "A DEA approach for estimating the agricultural energy and environmental efficiency of EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 91-96.
    6. Reig-Martinez, Ernest & Picazo-Tadeo, Andres J., 2004. "Analysing farming systems with Data Envelopment Analysis: citrus farming in Spain," Agricultural Systems, Elsevier, vol. 82(1), pages 17-30, October.
    7. Mardani, Aref & Taghavifar, Hamid, 2016. "An overview on energy inputs and environmental emissions of grape production in West Azerbayjan of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 918-924.
    8. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Reduction of CO2 emission by improving energy use efficiency of greenhouse cucumber production using DEA approach," Energy, Elsevier, vol. 55(C), pages 676-682.
    9. Torki-Harchegani, Mehdi & Ebrahimi, Rahim & Mahmoodi-Eshkaftaki, Mahmood, 2015. "Almond production in Iran: An analysis of energy use efficiency (2008–2011)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 217-224.
    10. Ozkan, Burhan & Fert, Cemal & Karadeniz, C. Feyza, 2007. "Energy and cost analysis for greenhouse and open-field grape production," Energy, Elsevier, vol. 32(8), pages 1500-1504.
    11. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    12. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Mohammadi, Ali, 2011. "Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis," Energy, Elsevier, vol. 36(2), pages 909-916.
    13. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Dong Tian & Min Zhang & Xuejian Wei & Jing Wang & Weisong Mu & Jianying Feng, 2018. "GIS-Based Energy Consumption and Spatial Variation of Protected Grape Cultivation in China," Sustainability, MDPI, vol. 10(9), pages 1-21, September.
    16. Khoshroo, Alireza & Mulwa, Richard & Emrouznejad, Ali & Arabi, Behrouz, 2013. "A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production," Energy, Elsevier, vol. 63(C), pages 189-194.
    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. Vida Dabkienė & Tomas Baležentis & Dalia Štreimikienė, 2022. "Reconciling the micro‐ and macro‐perspective in agricultural energy efficiency analysis for sustainable development," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(1), pages 149-164, February.

    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. Anirban Nandy & Piyush Kumar Singh & Alok Kumar Singh, 2021. "Systematic Review and Meta- regression Analysis of Technical Efficiency of Agricultural Production Systems," Global Business Review, International Management Institute, vol. 22(2), pages 396-421, April.
    2. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    3. Sara Ilahi & Yongchang Wu & Muhammad Ahsan Ali Raza & Wenshan Wei & Muhammad Imran & Lyankhua Bayasgalankhuu, 2019. "Optimization Approach for Improving Energy Efficiency and Evaluation of Greenhouse Gas Emission of Wheat Crop using Data Envelopment Analysis," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    4. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    5. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
    6. Spyros Niavis & Nikos Tamvakis & Basil Manos & George Vlontzos, 2018. "Assessing and Explaining the Efficiency of Extensive Olive Oil Farmers: The Case of Pelion Peninsula in Greece," Agriculture, MDPI, vol. 8(2), pages 1-13, February.
    7. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Jafari, Ali & Mohammadi, Ali, 2011. "Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach," Applied Energy, Elsevier, vol. 88(11), pages 3765-3772.
    8. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Energy auditing and optimization approach for improving energy efficiency of rice cultivation in south-western Punjab, India," Energy, Elsevier, vol. 174(C), pages 269-279.
    9. Khoshnevisan, Benyamin & Rafiee, Shahin & Omid, Mahmoud & Mousazadeh, Hossein, 2013. "Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production," Energy, Elsevier, vol. 58(C), pages 588-593.
    10. Zeng, Shihong & Jiang, Chunxia & Ma, Chen & Su, Bin, 2018. "Investment efficiency of the new energy industry in China," Energy Economics, Elsevier, vol. 70(C), pages 536-544.
    11. Elahi, Ehsan & Zhang, Zhixin & Khalid, Zainab & Xu, Haiyun, 2022. "Application of an artificial neural network to optimise energy inputs: An energy- and cost-saving strategy for commercial poultry farms," Energy, Elsevier, vol. 244(PB).
    12. Weibin Lin & Bin Chen & Lina Xie & Haoran Pan, 2015. "Estimating Energy Consumption of Transport Modes in China Using DEA," Sustainability, MDPI, vol. 7(4), pages 1-15, April.
    13. Banaeian, Narges & Zangeneh, Morteza, 2011. "Study on energy efficiency in corn production of Iran," Energy, Elsevier, vol. 36(8), pages 5394-5402.
    14. Khalili-Damghani, Kaveh & Tavana, Madjid & Santos-Arteaga, Francisco J. & Mohtasham, Sima, 2015. "A dynamic multi-stage data envelopment analysis model with application to energy consumption in the cotton industry," Energy Economics, Elsevier, vol. 51(C), pages 320-328.
    15. Bhunia, Snehasish & Karmakar, Subrata & Bhattacharjee, Suvendu & Roy, Kingshuk & Kanthal, Sahely & Pramanick, Mahadev & Baishya, Aniket & Mandal, Biswapati, 2021. "Optimization of energy consumption using data envelopment analysis (DEA) in rice-wheat-green gram cropping system under conservation tillage practices," Energy, Elsevier, vol. 236(C).
    16. Khoshroo, Alireza & Mulwa, Richard & Emrouznejad, Ali & Arabi, Behrouz, 2013. "A non-parametric Data Envelopment Analysis approach for improving energy efficiency of grape production," Energy, Elsevier, vol. 63(C), pages 189-194.
    17. Mousavi-Avval, Seyed Hashem & Rafiee, Shahin & Mohammadi, Ali, 2011. "Optimization of energy consumption and input costs for apple production in Iran using data envelopment analysis," Energy, Elsevier, vol. 36(2), pages 909-916.
    18. Thu Trang Tran Nguyen & Hai Ha Le & Thi Minh Hop Ho & Thomas Dogot & Philippe Burny & Thi Nga Bui & Philippe Lebailly, 2020. "Efficiency Analysis of the Progress of Orange Farms in Tuyen Quang Province, Vietnam towards Sustainable Development," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
    19. Mohammadi, Ali & Rafiee, Shahin & Mohtasebi, Seyed Saeid & Mousavi Avval, Seyed Hashem & Rafiee, Hamed, 2011. "Energy efficiency improvement and input cost saving in kiwifruit production using Data Envelopment Analysis approach," Renewable Energy, Elsevier, vol. 36(9), pages 2573-2579.
    20. Thomas Bournaris & George Vlontzos & Christina Moulogianni, 2019. "Efficiency of Vegetables Produced in Glasshouses: The Impact of Data Envelopment Analysis (DEA) in Land Management Decision Making," Land, MDPI, vol. 8(1), pages 1-11, January.

    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:energy:v:189:y:2019:i:c:s036054421931953x. 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/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.