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Difference in Energy Input and Output in Agricultural Production under Surface Irrigation and Water-Saving Irrigation: A Case Study of Kiwi Fruit in Shaanxi

Author

Listed:
  • Yongqiang Zhang

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
    These authors contributed equally to this work.)

  • Hao Sun

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
    These authors contributed equally to this work.)

  • Maosheng Ge

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China)

  • Hang Zhao

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China
    Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China)

  • Yifan Hu

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China)

  • Changyue Cui

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China)

  • Zhibin Wu

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China)

Abstract

China’s kiwi industry has seen rising production costs and shrinking planting areas in recent years; at the same time, the lack of professional production standards leads to the input redundancy and waste of production factors in the production process of kiwifruit, which intensifies the dilemma of unsustainable agricultural production. This has brought more and more serious challenges to the sustainable development of the industry. In order to solve this problem and clarify the composition and utilization efficiency of energy in the production process of kiwifruit, this study took Chinese kiwifruit production as the research object and analyzed the energy input and output under surface irrigation and water-saving irrigation from the perspective of energy. The results show that the energy input of kiwifruit production under traditional surface irrigation was 85.4 GJ/ha, and the energy output was 59.7 GJ/ha. Among all energy input elements, mineral fertilizers accounted for the highest proportion of energy input, accounting for 48.31%. Under water-saving irrigation, the energy input and output of kiwifruit production are 72.3 GJ/ha and 62.3 GJ/ha; the highest energy input is also mineral fertilizer. The data envelopment analysis results also confirmed that there is a large redundancy in the amount of mineral fertilizer. Compared with surface irrigation, water-saving irrigation technology has effectively improved the energy ratio (from 0.70 to 0.86), energy productivity (from 0.37 kg/MJ to 0.45 kg/MJ) as well as net energy (from −25.8 GJ/ha to −9.93 GJ/ha). Thus, promoting the application of water-saving irrigation technology and increasing the proportion of fertigation during the kiwi production process are necessary measures to promote the sustainable development of China’s kiwi industry.

Suggested Citation

  • Yongqiang Zhang & Hao Sun & Maosheng Ge & Hang Zhao & Yifan Hu & Changyue Cui & Zhibin Wu, 2023. "Difference in Energy Input and Output in Agricultural Production under Surface Irrigation and Water-Saving Irrigation: A Case Study of Kiwi Fruit in Shaanxi," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3114-:d:1062225
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    References listed on IDEAS

    as
    1. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2020. "Energy and carbon footprints of wheat establishment following different rice residue management strategies vis-à-vis conventional tillage coupled with rice residue burning in north-western India," Energy, Elsevier, vol. 200(C).
    2. 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.
    3. Jacques, David & Fox, Glenn & White, Peter, 2018. "Farm level economic analysis of subsurface drip irrigation in Ontario corn production," Agricultural Water Management, Elsevier, vol. 203(C), pages 333-343.
    4. Singh, Pritpal & Singh, Gurdeep & Sodhi, G.P.S., 2019. "Applying DEA optimization approach for energy auditing in wheat cultivation under rice-wheat and cotton-wheat cropping systems in north-western India," Energy, Elsevier, vol. 181(C), pages 18-28.
    5. Jones, M. R., 1989. "Analysis of the use of energy in agriculture--Approaches and problems," Agricultural Systems, Elsevier, vol. 29(4), pages 339-355.
    6. Mohammadi, Ali & Omid, Mahmoud, 2010. "Economical analysis and relation between energy inputs and yield of greenhouse cucumber production in Iran," Applied Energy, Elsevier, vol. 87(1), pages 191-196, January.
    7. Morey Burnham & Zhao Ma & Delan Zhu, 2015. "The human dimensions of water saving irrigation: lessons learned from Chinese smallholder farmers," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(2), pages 347-360, June.
    8. Rafiee, Shahin & Mousavi Avval, Seyed Hashem & Mohammadi, Ali, 2010. "Modeling and sensitivity analysis of energy inputs for apple production in Iran," Energy, Elsevier, vol. 35(8), pages 3301-3306.
    9. Cooper, W.W. & Pastor, Jesus T. & Aparicio, Juan & Borras, Fernando, 2011. "Decomposing profit inefficiency in DEA through the weighted additive model," European Journal of Operational Research, Elsevier, vol. 212(2), pages 411-416, July.
    10. 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.
    11. Jamali, Mohsen & Soufizadeh, Saeid & Yeganeh, Bijan & Emam, Yahya, 2021. "A comparative study of irrigation techniques for energy flow and greenhouse gas (GHG) emissions in wheat agroecosystems under contrasting environments in south of Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 139(C).
    12. Alam, Khorshed, 2015. "Farmers’ adaptation to water scarcity in drought-prone environments: A case study of Rajshahi District, Bangladesh," Agricultural Water Management, Elsevier, vol. 148(C), pages 196-206.
    13. Jackson, Tamara M. & Khan, Shahbaz & Hafeez, Mohsin, 2010. "A comparative analysis of water application and energy consumption at the irrigated field level," Agricultural Water Management, Elsevier, vol. 97(10), pages 1477-1485, October.
    14. Unakitan, G. & Hurma, H. & Yilmaz, F., 2010. "An analysis of energy use efficiency of canola production in Turkey," Energy, Elsevier, vol. 35(9), pages 3623-3627.
    15. 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.
    16. Xin Zhang & Eric A. Davidson & Denise L. Mauzerall & Timothy D. Searchinger & Patrice Dumas & Ye Shen, 2015. "Managing nitrogen for sustainable development," Nature, Nature, vol. 528(7580), pages 51-59, December.
    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. 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.
    19. 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.
    20. Pervanchon, F. & Bockstaller, C. & Girardin, P., 2002. "Assessment of energy use in arable farming systems by means of an agro-ecological indicator: the energy indicator," Agricultural Systems, Elsevier, vol. 72(2), pages 149-172, May.
    21. Weifeng Zhang & Guoxin Cao & Xiaolin Li & Hongyan Zhang & Chong Wang & Quanqing Liu & Xinping Chen & Zhenling Cui & Jianbo Shen & Rongfeng Jiang & Guohua Mi & Yuxin Miao & Fusuo Zhang & Zhengxia Dou, 2016. "Closing yield gaps in China by empowering smallholder farmers," Nature, Nature, vol. 537(7622), pages 671-674, September.
    22. Soltanali, Hamzeh & Nikkhah, Amin & Rohani, Abbas, 2017. "Energy audit of Iranian kiwifruit production using intelligent systems," Energy, Elsevier, vol. 139(C), pages 646-654.
    23. Pahlavan, Reza & Omid, Mahmoud & Akram, Asadollah, 2012. "Energy input–output analysis and application of artificial neural networks for predicting greenhouse basil production," Energy, Elsevier, vol. 37(1), pages 171-176.
    24. De, Dipankar & Singh, R. S. & Chandra, Hukum, 2001. "Technological impact on energy consumption in rainfed soybean cultivation in Madhya Pradesh," Applied Energy, Elsevier, vol. 70(3), pages 193-213, November.
    25. Elsoragaby, Suha & Yahya, Azmi & Mahadi, Muhammad Razif & Nawi, Nazmi Mat & Mairghany, Modather, 2019. "Energy utilization in major crop cultivation," Energy, Elsevier, vol. 173(C), pages 1285-1303.
    26. Morey Burnham & Zhao Ma & Delan Zhu, 2015. "Erratum to: The human dimensions of water saving irrigation: lessons learned from Chinese smallholder farmers," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 32(2), pages 361-362, June.
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