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Using a whole-farm modelling approach to assess prospective technologies under uncertainty

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  • Torkamani, Javad
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  • Torkamani, Javad, 2005. "Using a whole-farm modelling approach to assess prospective technologies under uncertainty," Agricultural Systems, Elsevier, vol. 85(2), pages 138-154, August.
    • Handle: RePEc:eee:agisys:v:85:y:2005:i:2:p:138-154
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    1. Allan N. Rae, 1971. "Stochastic Programming, Utility, and Sequential Decision Problems in Farm Management," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 53(3), pages 448-460.
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    4. Torkamani, Javad & Hardaker, J. Brian, 1996. "A study of economic efficiency of Iranian farmers in Ramjerd district: an application of stochastic programming," Agricultural Economics, Blackwell, vol. 14(2), pages 73-83, July.
    5. Hardaker, J. Brian & Pandey, Sushil & Patten, Louise H., 1991. "Farm Planning under Uncertainty: A Review of Alternative Programming Models," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 59(01), pages 1-14, April.
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    15. J. Brian Hardaker & Louise H. Patten & David J. Pannell, 1988. "Utility‐Efficient Programming For Whole‐Farm Planning," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 32(2-3), pages 88-97, 08-12.
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    17. Apland, Jeffrey & Hauer, Grant, 1993. "Discrete Stochastic Programming: Concepts, Examples And A Review Of Empirical Applications," Staff Papers 13793, University of Minnesota, Department of Applied Economics.
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    Cited by:

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    2. Andrieu, Nadine & Descheemaeker, Katrien & Sanou, Thierry & Chia, Eduardo, 2015. "Effects of technical interventions on flexibility of farming systems in Burkina Faso: Lessons for the design of innovations in West Africa," Agricultural Systems, Elsevier, vol. 136(C), pages 125-137.
    3. Tavella, Elena, 2016. "How to make Participatory Technology Assessment in agriculture more “participatory”: The case of genetically modified plants," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 119-126.
    4. Kihara, Job & Manda, Julius & Kimaro, Anthony & Swai, Elirehema & Mutungi, Christopher & Kinyua, Michael & Okori, Patrick & Fischer, Gundula & Kizito, Fred & Bekunda, Mateete, 2022. "Contributions of integrated soil fertility management (ISFM) to various sustainable intensification impact domains in Tanzania," Agricultural Systems, Elsevier, vol. 203(C).
    5. McDonald, C.K. & MacLeod, N.D. & Lisson, S. & Corfield, J.P., 2019. "The Integrated Analysis Tool (IAT) – A model for the evaluation of crop-livestock and socio-economic interventions in smallholder farming systems," Agricultural Systems, Elsevier, vol. 176(C).
    6. Blazy, Jean-Marc & Tixier, Philippe & Thomas, Alban & Ozier-Lafontaine, Harry & Salmon, Frédéric & Wery, Jacques, 2010. "BANAD: A farm model for ex ante assessment of agro-ecological innovations and its application to banana farms in Guadeloupe," Agricultural Systems, Elsevier, vol. 103(4), pages 221-232, May.
    7. Le Gal, P.-Y. & Dugué, P. & Faure, G. & Novak, S., 2011. "How does research address the design of innovative agricultural production systems at the farm level? A review," Agricultural Systems, Elsevier, vol. 104(9), pages 714-728.
    8. Koide, Junji & Yokoyama, Shigeki & Hirouchi, Shinji & Hirose, Chikako & Oka, Naoko & Oda, Masato & Yanagihara, Seiji, 2021. "Exploring climate-resilient and risk-efficient cropping strategies using a new pond irrigation system: An experimental study in northern Ghana," Agricultural Systems, Elsevier, vol. 191(C).
    9. Sanfo, Safiétou & Barbier, Bruno & Dabiré, Isabelle W.P. & Vlek, Paul L.G. & Fonta, William M. & Ibrahim, Boubacar & Barry, Boubacar, 2017. "Rainfall variability adaptation strategies: An ex-ante assessment of supplemental irrigation from farm ponds in southern Burkina Faso," Agricultural Systems, Elsevier, vol. 152(C), pages 80-89.
    10. Lien, Gudbrand & Hardaker, J. Brian & Asseldonk, Marcel A.P.M. van & Richardson, James W., 2009. "Risk programming and sparse data: how to get more reliable results," Agricultural Systems, Elsevier, vol. 101(1-2), pages 42-48, June.
    11. Reis, Silvia Araújo & Leal, José Eugenio, 2015. "A deterministic mathematical model to support temporal and spatial decisions of the soybean supply chain," Journal of Transport Geography, Elsevier, vol. 43(C), pages 48-58.
    12. Fahad, Shah & Wang, Jing & Hu, Guangyin & Wang, Hui & Yang, Xiaoying & Shah, Ashfaq Ahmad & Huong, Nguyen Thi Lan & Bilal, Arshad, 2018. "Empirical analysis of factors influencing farmers crop insurance decisions in Pakistan: Evidence from Khyber Pakhtunkhwa province," Land Use Policy, Elsevier, vol. 75(C), pages 459-467.
    13. Flaten, O. & Lien, G., 2007. "Stochastic utility-efficient programming of organic dairy farms," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1574-1583, September.
    14. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    15. Heng Yi Teah & Yasuhiro Fukushima & Motoharu Onuki, 2015. "Experiential Knowledge Complements an LCA-Based Decision Support Framework," Sustainability, MDPI, vol. 7(9), pages 1-16, September.
    16. Greiner, Romy, 2015. "Motivations and attitudes influence farmers' willingness to participate in biodiversity conservation contracts," Agricultural Systems, Elsevier, vol. 137(C), pages 154-165.
    17. Jitka JANOVÁ, 2014. "Crop plan optimization under risk on a farm level in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(3), pages 123-132.
    18. Ahumada, Omar & Villalobos, J. Rene, 2009. "Application of planning models in the agri-food supply chain: A review," European Journal of Operational Research, Elsevier, vol. 196(1), pages 1-20, July.
    19. Islam, Md Din II & Rahman, Airin & Sarker, M. Sazzadur Rahman & Luo, Jianchao & Liang, Hu, 2021. "Factors affecting farmers' willingness to adopt crop insurance to manage disaster risk: evidence from Bangladesh," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(3), April.

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