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Evaluation of energy input and output of sweet sorghum grown as a bioenergy crop on coastal saline-alkali land

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  • Ren, Lan Tian
  • Liu, Zu Xin
  • Wei, Tong Yang
  • Xie, Guang Hui

Abstract

This study investigated the energy productivity and input sensitivity of sweet sorghum (Sorghum bicolor (L.) Moench), as compared with cotton and maize, at two coastal saline-alkali sites in Shandong Province, China. The data were collected quantitatively using a questionnaire for face-to-face interviewing of 116 farmers. The sorghum showed a lower energy input requirement than cotton and maize. The energy productivity indices were 12.4 and 9.2 for sweet sorghum, which were much higher than for cotton (3.1) at Wudi and maize (8.4) at Wendeng, respectively. Nitrogen fertilisation contributed the highest proportions (between 56% and 69% for the three crops) to the total energy consumption, as compared with the seed, labour, machinery, diesel fuel, phosphorus and potassium fertilisers, irrigation water, plastic film, and pesticides. All of the crops consumed much more non-renewable energy than renewable energy. According to the Cobb–Douglas production function, the diesel and nitrogen fertiliser energy inputs had a significantly positive impact on the sweet sorghum energy output. The energy crop showed an increasing return to scale, with cotton showing a constant and maize a decreasing return. These findings indicate that the sweet sorghum energy output is possible to be increased with further technical research and development.

Suggested Citation

  • Ren, Lan Tian & Liu, Zu Xin & Wei, Tong Yang & Xie, Guang Hui, 2012. "Evaluation of energy input and output of sweet sorghum grown as a bioenergy crop on coastal saline-alkali land," Energy, Elsevier, vol. 47(1), pages 166-173.
    • Handle: RePEc:eee:energy:v:47:y:2012:i:1:p:166-173
    DOI: 10.1016/j.energy.2012.09.024
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    1. Tian, Yishui & Zhao, Lixin & Meng, Haibo & Sun, Liying & Yan, Jinyue, 2009. "Estimation of un-used land potential for biofuels development in (the) People's Republic of China," Applied Energy, Elsevier, vol. 86(Supplemen), pages 77-85, November.
    2. Zangeneh, Morteza & Omid, Mahmoud & Akram, Asadollah, 2010. "A comparative study on energy use and cost analysis of potato production under different farming technologies in Hamadan province of Iran," Energy, Elsevier, vol. 35(7), pages 2927-2933.
    3. Khan, S. & Khan, M.A. & Hanjra, M.A. & Mu, J., 2009. "Pathways to reduce the environmental footprints of water and energy inputs in food production," Food Policy, Elsevier, vol. 34(2), pages 141-149, April.
    4. 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.
    5. Charlotte Schubert, 2011. "Renewable energy: Making fuels for the future," Nature, Nature, vol. 474(7352), pages 531-533, June.
    6. Kumbhakar, Subal C., 2012. "Specification and estimation of primal production models," European Journal of Operational Research, Elsevier, vol. 217(3), pages 509-518.
    7. Erdal, Gülistan & Esengün, Kemal & Erdal, Hilmi & Gündüz, Orhan, 2007. "Energy use and economical analysis of sugar beet production in Tokat province of Turkey," Energy, Elsevier, vol. 32(1), pages 35-41.
    8. Li, Shi-Zhong & Chan-Halbrendt, Catherine, 2009. "Ethanol production in (the) People's Republic of China: Potential and technologies," Applied Energy, Elsevier, vol. 86(Supplemen), pages 162-169, November.
    9. 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.
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    3. Xue, Shuai & Lewandowski, Iris & Wang, Xiaoyu & Yi, Zili, 2016. "Assessment of the production potentials of Miscanthus on marginal land in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 932-943.
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    5. Xiaolin Yang & Meng Li & Huihui Liu & Lantian Ren & Guanghui Xie, 2018. "Technical Feasibility and Comprehensive Sustainability Assessment of Sweet Sorghum for Bioethanol Production in China," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    6. Jéssica Bárbara da Silva & Edvaldo Pereira Santos Júnior & João Gabriel Távora Pedrosa & Aldo Torres Sales & Everardo Valadares de Sa Barretto Sampaio & Rômulo Simões Cezar Menezes & Emmanuel Damilano, 2022. "Energetic and Economic Analysis of Spineless Cactus Biomass Production in the Brazilian Semi-arid Region," Energies, MDPI, vol. 15(14), pages 1-16, July.
    7. Menghui Yu & Jihong Li & Sandra Chang & Ran Du & Shizhong Li & Lei Zhang & Guifang Fan & Zhipei Yan & Ting Cui & Guangtao Cong & Gang Zhao, 2014. "Optimization of Ethanol Production from NaOH-Pretreated Solid State Fermented Sweet Sorghum Bagasse," Energies, MDPI, vol. 7(7), pages 1-14, June.
    8. Sambusiti, C. & Ficara, E. & Malpei, F. & Steyer, J.P. & Carrère, H., 2013. "Effect of sodium hydroxide pretreatment on physical, chemical characteristics and methane production of five varieties of sorghum," Energy, Elsevier, vol. 55(C), pages 449-456.
    9. Kazemi, Hossein & Bourkheili, Saeid Hassanpour & Kamkar, Behnam & Soltani, Afshin & Gharanjic, Kambiz & Nazari, Noor Mohammad, 2016. "Estimation of greenhouse gas (GHG) emission and energy use efficiency (EUE) analysis in rainfed canola production (case study: Golestan province, Iran)," Energy, Elsevier, vol. 116(P1), pages 694-700.
    10. Yang, Zhiyuan & Zhu, Yuemei & Zhang, Jinyue & Li, Xuyi & Ma, Peng & Sun, Jiawei & Sun, Yongjian & Ma, Jun & Li, Na, 2022. "Comparison of energy use between fully mechanized and semi-mechanized rice production in Southwest China," Energy, Elsevier, vol. 245(C).
    11. 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.

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