Swagata “Ban” Banerjee
Mississippi State University
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Publication
Featured researches published by Swagata “Ban” Banerjee.
Journal of Agricultural and Applied Economics | 2008
Swagata “Ban” Banerjee; Steven W. Martin; Roland K. Roberts; Sherry L. Larkin; James A. Larson; Kenneth W. Paxton; Burton C. English; Michele C. Marra; Jeanne M. Reeves
Binary logit analysis was used to identify the factors influencing adoption of Global Positioning System (GPS) guidance systems by cotton farmers in 11 Mid-south and Southeastern states. Results indicate that adoption was more likely by those who had already adopted other precision-farming practices and had used computers for farm management. In addition, younger and more affluent farmers were more likely to adopt. Farmers with larger farms and with relatively high yields were also more likely to adopt. Education was not a significant factor in a farmer’s decision to adopt GPS guidance systems.
Journal of Agricultural and Applied Economics | 2007
Swagata “Ban” Banerjee; Darren Hudson; Steven W. Martin
Producers’ preferences for cottonseed with respect to price, seed type, yield, and fiber quality are examined by a willingness-to-pay approach via mail surveys. Results indicate a positive willingness to pay (WTP) for technology relative to conventional cottonseed, and WTP increases with the level of technology. Yield and quality also show a positive WTP. Larger farms have a higher WTP for technology, and farms with more farm labor have a lower WTP for technology. These results suggest economies of size in technology adoption (biotechnology is not size-neutral) and that labor and biotechnology are direct substitutes.
Crop Management | 2005
Steven W. Martin; James E. Hanks; Aubrey Harris; Gene D. Wills; Swagata “Ban” Banerjee
Precision farming technologies are becoming increasingly popular. However, few studies have addressed the whole-farm and per-acre expense of these technologies. A 33-acre farm example is used to establish baseline cost estimates of these technologies. Findings suggest that per-acre expense is relatively small (
Journal of Agricultural and Applied Economics | 2007
Swagata “Ban” Banerjee; Irfan Y. Tareen; Lewell F. Gunter; Jimmy Bramblett; Michael E. Wetzstein
8.00 to
Journal of Agricultural and Applied Economics | 2013
Swagata “Ban” Banerjee; Babatunde A. Obembe
12.00/acre) if sufficient acres are available and may be smaller than conventional wisdom would suggest. Average annual input savings in the study amounted to approximately
AgBioForum | 2009
Swagata “Ban” Banerjee; Steven W. Martin; Roland K. Roberts; James A. Larson; Robert J. Hogan; Jason L. Johnson; Kenneth W. Paxton; Jeanne M. Reeves; G. B. Frisvold; P. D. Mitchell; T. M. Hurley
2.00/acre. Possible yield increases may more than cover the cost of implementing a whole-farm precision farming system even on minimum-size farms.
Crop Protection | 2008
Swagata “Ban” Banerjee; Steven W. Martin
Southeast drought conditions have accentuated the demand for irrigation in the face of restricted water supply. For allocating this supply, Georgia held an auction for withdrawing irrigated acreage. This auction withdrew 33,000 acres from irrigation, resulting in a physical estimate of a 399 acre-feet daily increase in water flow. The actual reduction is driven by crop distributional changes on the basis of economic substitution and expansion effects. In contrast to the physical estimates, an econometric model that considers these effects is developed. The differences between the physical and econometric models result in an increase in the estimate of water savings of around 19% to 24%.
2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama | 2007
Swagata “Ban” Banerjee; Steven W. Martin; Roland K. Roberts; James A. Larson; Robert J. Hogan; Jason L. Johnson; Kenneth W. Paxton; Jeanne M. Reeves
Natural causes (such as droughts), non-natural causes (such as competing uses), and government policies limit the supply of water for agriculture in general and irrigating crops in particular. Under such reduced water supply scenarios, existing physical models reduce irrigation proportionally among crops in the farmer’s portfolio, disregarding temporal changes in economic and/or institutional conditions. Hence, changes in crop mix resulting from expectations about risks and returns are ignored. A method is developed that considers those changes and accounts for economic substitution and expansion effects. Forecasting studies based on this method with surface water in Georgia and Alabama demonstrate the relative strength of econometric modeling vis-a`-vis physical methods. Results from a study using this method for ground water in Mississippi verify the robustness of those findings. Results from policy induced simulation scenarios indicate water savings of 12% to 27% using the innovative method developed. Although better irrigation water demand forecasting in crop production was the key objective of this pilot project, conservation of a valuable natural resource (water) has turned out to be a key consequence.
2005 Annual Meeting, February 5-9, 2005, Little Rock, Arkansas | 2005
Swagata “Ban” Banerjee; Steven W. Martin; Michael E. Wetzstein
2008 Annual Meeting, February 2-6, 2008, Dallas, Texas | 2008
Swagata “Ban” Banerjee; Steven W. Martin