Optimal crop choice, irrigation allocation, and the impact of contract farming

Production and Operations Management

Volumn 22, Issue 5, 2013, Pages 1126-1143

  Huh, Woonghee Tim ^a   Lall, Upmanu ^b  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^b Center for International Forestry Research   (United States)

Author keywords

agriculture; contract farming; crop planning; India; irrigation

Indexed keywords

EID: 84884922416     PISSN: 10591478     EISSN: 19375956     Source Type: Journal    
DOI: 10.1111/poms.12007     Document Type: Article

References (55)

1. Allen, S. J., E. W. Schuster,. 2004. Controlling the risk for an agricultural harvest. Manuf. Ser. Oper. Manag. 6 (3): 225-236. (Pubitemid 41342336)
2. Audsley, E., 1985. The development of operational research at the national Institute of Agricultural Engineering. J. Oper. Resour. Soc. 36 (2): 117-123. (Pubitemid 15460753)
3. Boyd, S., L. Vandenberghe, 2004. Convex Optimization. Cambridge University Press, Cambridge, UK.
4. Bravo-Ureta, B. E., A. E. Pinheiro,. 1993. Efficiency analysis of developing country agriculture: A review of the frontier function literature. Agricult. Resour. Econ. Rev. 22 (1): 88-101.
5. Briscoe, J., 1999. The financing of hydropower, irrigation and water supply infrastructure in developing countries. Water Resour. Dev. 15 (5): 549-491.
6. Brown, C., U. Lall,. 2006. Water and economic development: The role of variability and a framework for resilience. Nat. Resour. Forum 30 (4): 306-317. (Pubitemid 46002397)
7. Burer, S., P. C. Jones, T. J. Lowe,. 2008. Coordinating the supply chain in the agricultural seed industry. Eur. J. Oper. Resour. 185 (1): 354-377. (Pubitemid 47418451)
8. Cocks, K. D., 1968. Discrete stochastic programming. Manage. Sci. 15 (1): 72-79.
9. Dinar, A., A. Subramanian,. 1997. Water pricing experiences: An international perspective. Technical report, World Bank, Washington, DC.
10. Drummond, S. T., K. A. Sudduth, A. Joshi, S. J. Birrell, N. R. Kitchen,. 2004. Statistical and neural methods for site-specific yield prediction. Trans. ASAE 46 (1): 5-14.
11. Food and Agriculture Organization. 2002. World Agriculture: Towards 2015/2030. Technical report, Food and Agriculture Organization of the United Nations, Rome, Italy.
12. Food and Agriculture Organization. 2003. Agriculture, Food and Water. Technical report, Food and Agriculture Organization of the United Nations, Rome, Italy.
13. Gill, P. P. S., 2000. Punjab not to privatise sugar mills. The Trubune Online Edition, October 12. Available at http://www.tribuneindia.com/2000/ 20001012/biz.htm.(accessed date September 30, 2010).
14. Glen, J. J., 1987. Mathematical models in farm planning: A survey. Oper. Resour. 35 (5): 641-666.
15. Hamdy, A., R. Ragab, E. Scarascia-Mugnozza,. 2003. Coping with water scarcity: Water saving and increasing water productivity. Irrigation and Drainage 52 (3): 3-20. (Pubitemid 40518520)
16. He, Y., J. Zhang,. 2008. Random yield risk sharing in a two-level supply chain. Int. J. Prod. Econ. 112 (2): 769-781. (Pubitemid 351289070)
17. Heady, E. O., 1954. Simplified presentation and logical aspects of linear programming technique. J. Farm Econ. 36 (5): 1035-1048.
18. India Infoline. 2002. India Infoline Sector Database: Sugar. Available at http://www.indiainfoline.com/sect/suin/ch09.html (accessed date September 30, 2010).
19. Indian Meteorological Department. 2007. Available at http://www.imd. ernet.in/main-new.htm (accessed date September 30, 2010).
20. Jha, S., P. V. Srinivasan, M. Landes,. 2007. Indian wheat and rice sector policies and the implications of reform. Technical report, United States Department of Agriculture, Washington, DC.
21. Jolayemi, J. K., J. O. Olaomi,. 1978. A mathematical programming procedure for selecting crops for mixed-cropping schemes. Ecol. Model. 79 (1-3): 1-9.
22. Jones, P. C., G. Kegler, T. J. Lowe, R. D. Traub,. 2003. Managing the seed-corn supply chain at Syngenta. Interfaces 33 (1): 80-90.
23. Jones, P. C., T. J. Lowe, R. D. Traub,. 2002. Matching supply and demand: The value of a second chance in producing seed corn. Rev. Agricult. Econ. 24 (1): 222-238.
24. Jones, P. C., T. J. Lowe, R. D. Traub, G. Kegler,. 2001. Matching supply and demand: The value of a second chance in producing hybrid seed corn. Manu. Ser. Oper. Manag. 3 (2): 122-137. (Pubitemid 33666624)
25. Kazaz, B., 2004. Production planning under yield and demand uncertainty with yield-dependent cost and price. Manuf. Ser. Oper. Manag. 6 (3): 209-224. (Pubitemid 41342335)
26. Kazaz, B., S. Webster,. 2011. The impact of yield-dependent trading costs on pricing and production planning under supply uncertainty. Manuf. Ser. Oper. Manag. 13 (3): 404-417.
27. Kinzelbach, W., P. Bauer, P. Brunner, T. Siegfried,. 2004. Sustainable water management in arid and semi-arid environments., D. Stephenson, E. Shemang, T. Chaoka, eds. Water Resources of Arid Areas, Taylor and Francis Group, London, 3-16.
28. Kumar, R., S. D. Khepar,. 1980. Decision models for optimal cropping patterns in irrigations based on crop water production functions. Agricult. Water Manag. 3 (1): 65-76.
29. Kumar, R., R. D. Singh, K. D. Sharma,. 2005. Water resources of India. Curr. Sci. 89 (5): 794-811. (Pubitemid 43175307)
30. Lall, U., A. Sharma,. 1996. A nearest neighbor bootstrap for resampling hydrologic time series. Water Resour. Resour. 32 (3): 679-693.
31. Li, S., L. Goddard, D. G. DeWitt,. 2008. Predictive skill of AGCM seasonal climate forecasts subject to different SST prediction methodologies. J. Climate 21 (10): 2169-2186. (Pubitemid 351844071)
32. Li, W., W. Li, Z. Li,. 2004. Irrigation and fertilizer effects on water use and yield of spring wheat in semi-arid regions. Agricult. Water. Manag. 67 (1): 35-46. (Pubitemid 38617227)
33. Liu, J., C. E. Goering, L. Tian,. 2001. A neural network for setting target corn yields. Trans. ASAE 44 (3): 705-713. (Pubitemid 33072693)
34. Lowe, T. J., P. V. Preckel,. 2004. Decision technologies for agribusiness problems: A brief review of selected literature and a call for research. Manuf. Ser. Oper. Manag. 6 (3): 201-208. (Pubitemid 41342334)
35. Maatman, A., C. Schweigman, A. Ruijs, M. H. van Der Vlerk,. 2002. Modeling farmers' response to uncertain rainfall in Burkina Faso: A stochastic programming approach. Oper. Resour. 50 (3): 399-414.
36. Monari, L., 2002. Power subsidies: A reality check on subsidizing power for irrigation in India. Technical report, The World Bank, Washington, DC.
37. Multi Commodity Exchange of India Ltd. 2006. Sugar & Gur Futures. Available at http://www.mcxindia.com/Sugar-Booklet.pdf (accessed date September 30, 2010).
38. Plambeck, E. L., T. A. Taylor,. 2005. Sell the plant? The impact of contract manufacturing on innovation, capacity and profitability. Manage. Sci. 51 (1): 133-150. (Pubitemid 40246107)
39. Plambeck, E. L., T. A. Taylor,. 2007. Implications of renegotiation for optimal contract flexibility and investment. Manage. Sci. 53 (12): 1859-1871.
40. Rae, A. N., 1971. An empirical application and evaluation of discrete stochastic programming in farm management. Amer. J. Agricult. Econ. 53 (4): 625-638.
41. Rehber, E., 1998. Vertical integration in agriculture and contract farming. Technical Report 46, Food Marketing Policy Center, University of Connecticut, Storrs, CT.
42. Rockafellar, R. T., 1970. Convex Analysis. Princeton University Press, Princeton, NJ.
43. Runsten, D., N. Key,. 1996. Contract farming in developing countries: Theoretical aspects and analysis of some Mexican cases. Technical report, United Nations Economic Commission for Latin America and the Caribbean, Santiago, Chile.
44. Sanghi, A., K. S. K. Kumar, J. W. McKinsey, Jr,. 1998. India agriculture and climate data set. Technical Report 402, World Bank, Washington, DC.
45. Schweigman, C., E. K. Bakker, T. A. B. Snijders,. 1990. Operations research as a tool for analysis of food security problems. Eur. J. Oper. Resour. 49 (2): 211-221.
46. Shani, U., Y. Tsur, A. Zemel,. 2004. Optimal dynamic irrigation schemes. Opt. Control Appl. Meth. 25 (2): 91-106.
47. Shukla, J., 1998. Predictability in the midst of chaos: A scientific basis for climate forecasting. Science 282 (5389): 728-731. (Pubitemid 28489381)
48. Shukla, J., D. A. Mooley,. 1987. Empirical prediction of the Summer monsoon rainfall over India. Monthly Weather Rev. 115 (3): 695-704.
49. Sindhu, S., 2010. Buoyant Pepsi to take contract farming to troubled states. Business Standard, June 11. Available at http://www.business-standard. com/india (accessed date September 30, 2010).
50. Singh, S., 2004. Crisis and diversification in Punjab agriculture: Role of state and agribusiness. Econ. Polit. Weekly 39 (52): 5583-5589.
51. Sri Lanka Sugarcane Research Institute. 2005. Available at http://www.sugarres.gov.lk/Su-Statistics.htm (accessed date September 30, 2010).
52. The Hindu. 2006. Savouring sweet success with sugarcane cultivation. April 27. Available at http://www.imd.ernet.in/main-new.htm. (accessed date September 30, 2010)
53. Ülkü, S., L. B. Toktay, E. Yücesan,. 2007. Risk ownership in contract manufacturing. Manuf. Ser. Oper. Manag. 9 (3): 225-241.
54. Warning, M., N. Key,. 2002. The social performance and distributional consequences of contract farming: An equilibrium analysis of the Arachide de Bouche Program in Senegal. World Dev. 30 (2): 255-263. (Pubitemid 34207102)
55. Yano, C. A., H. L. Lee,. 1995. Lot sizing with random yields: A review. Oper. Resour. 43 (2): 311-334.