Hostname: page-component-78c5997874-t5tsf Total loading time: 0 Render date: 2024-11-13T07:16:32.321Z Has data issue: false hasContentIssue false

Potential Farmer Adoption of High Available Phosphorus Corn over a Three-year Period

Published online by Cambridge University Press:  15 September 2016

John C. Bernard*
Affiliation:
Department of Applied Economics and Statistics at University of Delaware
John D. Pesek Jr.
Affiliation:
Department of Applied Economics and Statistics at University of Delaware
Amy Parish
Affiliation:
Department of Applied Economics and Statistics at University of Delaware
*
Correspondence: John C. Bernard229 Townsend HallDepartment of Applied Economics and StatisticsUniversity of DelawareNewark, DE 19716Phone 302.831.1380Emailjbernard@udel.edu.
Get access

Abstract

Corn containing high levels of available phosphorus (HAP) allows poultry to use more of the phosphorus they consume and could potentially reduce contamination of water from run-off. This study uses a conjoint analysis survey of Delmarva corn growers to model adoption of hypothetical HAP varieties over a three-year period. An optimal variety has a low technology fee and yield drag and a high harvest premium. Adoption of HAP corn increases during the period although growers’ tolerance of technology fees and yield drags diminishes over time. Adoption is further affected by farm size, farmer age, and the portion of income from corn.

Type
Research Article
Copyright
Copyright © 2015 Northeastern Agricultural and Resource Economics Association 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Atkinson, A.C., and Donev, A.N. 1992. Optimum Experimental Designs. Oxford Statistical Science Series. New York, NY: Oxford University Press.CrossRefGoogle Scholar
Bernard, J.C., and Bernard, D.J. 2010. “Comparing Parts with the Whole: Willingness to Pay for Pesticide-free, Non-GM, and Organic Potatoes and Sweet Corn.Journal of Agricultural and Resource Economics 35(3): 457475.Google Scholar
Bernard, J.C., Pesek, J.D. Jr., and Fan, C. 2004a. “Delaware Farmers’ Adoption of GE Soybeans in a Time of Uncertain U.S. Adoption.Agribusiness 20(1): 8194.Google Scholar
Bernard, J.C., Pesek, J.D. Jr., and Fan, C. 2004b. “Performance Results and Characteristics of Adopters of Genetically Engineered Soybeans in Delaware.Agricultural and Resource Economics Review 33(2): 282292.Google Scholar
Bernard, J.C., Pesek, J.D. Jr., and Gupta, M. 2011. “Consumer Interest in Environmentally Beneficial Chicken Feeds: Comparing HAP Corn and Other Varieties.Journal of Applied Agricultural Economics 43(4): 591605.Google Scholar
Bernard, J.C., Pesek, J.D. Jr., and Pan, X. 2007. “Consumer Likelihood to Purchase Chickens with Novel Production Attributes.Journal of Agricultural and Applied Economics 39(3): 581596.Google Scholar
Bonham, J., Bosch, D., and Pease, J. 2006. “Cost-effectiveness of Nutrient Management and Buffers: Comparisons of Two Spatial Scenarios.Journal of Agricultural and Applied Economics 38(1): 1732.Google Scholar
Delaware Department of Agriculture. 2007. “Nutrient Management.DDA, Dover, DE. Available at www.dda.delaware.gov/nutrients/index.shtml (accessed August 16, 2007).Google Scholar
Dillman, D.A. 2000. Mail and Internet Surveys (2nd edition). New York, NY: John Wiley & Sons. Google Scholar
Dumouchel, W.H., and Duncan, G.J. 1983. “Using Sample Survey Weights in Multiple Regression.Journal of the American Statistical Association 78(383): 535543.Google Scholar
Economic Research Service. 2011. “Adoption of Genetically Engineered Crops in the U.S.ERS, U.S. Department of Agriculture, Washington, DC. Available at www.ers.usda.gov/data/BiotechCrops (accessed July 27, 2011).Google Scholar
Environmental Protection Agency. 2004a. “National Water Quality Inventory Report.” EPA, Washington, DC. Available at http://water.epa.gov/lawsregs/guidance/cwa/305b/upload/2009_05_20_305b_2004report_report2004pt3.pdf (accessed July 21, 2011).Google Scholar
Environmental Protection Agency. 2004b. “Water on Tap: A Consumer's Guide to the Nation's Drinking Water.EPA, Washington, DC. Available at http://permanent.access.gpo.gov/lps21800/www.epa.gov/safewater/wot/wheredoes.html (accessed January 20, 2014).Google Scholar
Environmental Protection Agency. 2006. “Maryland Impaired Waterways and TMDL in Formation.EPA, Washington, DC. Available at http://iaspub.epa.gov/waters10/attains_state.report_control?p_state=MD&p_cycle=2006&p_report_type=T#causes_303d (accessed July 21, 2011).Google Scholar
Environmental Protection Agency. 2012a. “The Facts about Nutrient Pollution.EPA, Washington, DC. Available at http://water.epa.gov/polwaste/upload/nutrient_pollution_factsheet.pdf (accessed January 22, 2014).Google Scholar
Environmental Protection Agency. 2012b. “Pork Production.EPA, Washington, DC. Available at www.epa.gov/oecaagct/ag101/printpork.html (accessed January 22, 2014).Google Scholar
Fernandez-Cornejo, J., Hendricks, C., and Mishra, A. 2005. “Technology Adoption and Off-farm Household Income: The Case of Herbicide-tolerant Soybeans.Journal of Agriculture and Applied Economics 37(3): 549563.Google Scholar
Gao, C.Q., Ma, Q.G., Ji, C., Luo, X.G., Tang, H.F., and Wei, Y.M. 2012. “Evaluation of the Compositional and Nutritional Values of Phytase Transgenic Corn to Conventional Corn in Roosters.Poultry Science 91(5): 11421148.Google Scholar
Greene, W.H. 2002. LIMDEP Version 8.0 Econometric Modeling Guide. Plainview, NY: Econometric Software.Google Scholar
Greene, W.H. 2008. Econometric Analysis (6th edition). New York, NY: Pearson-Prentice Hall. Google Scholar
Haefele, M.A., and Loomis, J.B. 2001. “Improving the Connection between Theory and Empirical Analysis of Stated Preference and Conjoint Data: Improving Statistical Efficiency and Testing Robustness of Conjoint Marginal Valuations.American Journal of Agricultural Economics 83(5): 13211327.Google Scholar
Harper, J.K., Rister, M.E., Mjelde, J.W., Drees, B.M., and Way, M.O. 1990. “Factors Influencing the Adoption of Insect Management Technology.American Journal of Agricultural Economics 72(4): 9971005.Google Scholar
Johnson, N.I., and Kotz, S. 1970. Continuous Univariate Distributions (v. 1). New York, NY: Houghton Mifflin.Google Scholar
Koelsch, R. 2003. “Fact Sheet 2: Do I Need an NPDES Permit for My Livestock or Poultry Operation?CAFO Fact Sheet Series. Midwest Plan Service, Ames, IA. Available at http://infohouse.p2ric.org/ref/20/19162.pdf (accessed July 7, 2009).Google Scholar
Long, J.S. 1997. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage Publications.Google Scholar
National Agricultural Statistics Service. 2007a. “2007 Census of Agriculture - State Data, Delaware Table 27. Poultry - Inventory and Number Sold: 2007 and 2002.NASS, U.S. Department of Agriculture, Washington, DC. Available at www.agcensus.usda.gov/Publications/2007/Full_Report/Volume_1,_Chapter_1_State_Level/Delaware/st10_1_027_028.pdf (accessed July 20, 2009).Google Scholar
National Agricultural Statistics Service. 2007b. “2007 Census of Agriculture - State Data, “Maryland Table 27. Poultry - Inventory and Number Sold: 2007 and 2002.NASS, USDA, Washington, DC. Available at www.agcensus.usda.gov/Publications/2007/Full_Report/Volume_1,_Chapter_1_State_Level/Maryland/st24_1_027_028.pdf (accessed July 20, 2009).Google Scholar
Norwood, F., and Chvosta, J. 2005. “Phosphorus-based Applications of Livestock Manure and the Law of Unintended Consequences.Journal of Agricultural and Applied Economics 37(1): 7990.Google Scholar
Payne, J., Fernandez-Cornejo, J., and Daberkow, S. 2003. “Factors Affecting the Likelihood of Corn Rootworm Bt Seed Adoption.AgBioForum 6(1/2): 7986.Google Scholar
Pennings, J.M.E., Irwin, S.H., and Good, D.L. 2002. “Surveying Farmers: A Case Study.Review of Agricultural Economics 24(1): 266277.Google Scholar
Raboy, V. 2009. “Approaches and Challenges to Engineering Seed Phytate and Total Phosphorus.Plant Science 177(4): 281296.Google Scholar
Raboy, V., and Gerbasi, P. 1996. “Genetics of Myo-inositol Phosphate Synthesis and Accumulation.” In Biswas, B.B. and Biswas, S., eds., Subcellular Biochemistry: Myo-inositol Phosphates, Phosphoinositides, and Signal Transduction, Vol. 26. New York, NY: Plenum Press.Google ScholarPubMed
Raboy, V., Young, K.A., Dorsch, J.A., and Cook, A. 2001. “Genetics and Breeding of Seed Phosphorus and Phytic Acid.Journal of Plant Physiology 158(4): 489497.Google Scholar
Ribaudo, M., Gollehon, N., Aillery, M., Kaplan, J., Johansson, R., Agapoff, J., Christensen, L., Breneman, V., and Peters, M. 2003. “Manure Management for Water Quality: Costs to Animal Feeding Operations of Applying Manure Nutrients to Land.” Agricultural Economic Report 824, Economic Research Service, USDA, Washington, DC. Available at www.ers.usda.gov/PUBLICATIONS/AER824 (accessed February 6, 2006).Google Scholar
Rosett, R.N., and Nelson, F.D. 1975. “Estimation of the Two-limit Probit Regression Model.Econometrica 43(1): 141146.Google Scholar
SAS Institute Inc. 2011a. SAS/ETS® 9.3 User's Guide. Cary, NC: SAS Institute Inc.Google Scholar
2011b. SAS/QC® 9.3 User's Guide. Cary, NC: SAS Institute Inc.Google Scholar
Saylor, W.W., Sims, J.T., Malone, G.W., and Lavahun, M.F. 2002. “Phytase, HAP Corn Combination May Reduce Phosphorus Excretion.Feedstuffs 74(22): 1619, 33.Google Scholar
Smith, D.S., Moore, P.A. Jr., Miles, D.M., Haggard, B.E., and Daniel, T.C. 2004. “Decreasing Phosphorus Runoff Losses from Land-applied Poultry Litter with Dietary Modifications and Alum Addition.Journal of Environmental Quality 33(6): 22102216.Google Scholar
Stokstad, E. 2004. “Monsanto Pulls the Plug on Genetically Modified Wheat.Science 304(5674): 10881089.Google ScholarPubMed
Swiatkiewicz, S., and Arczewska-Wlosek, A. 2011. “Prospects for the Use of Genetically Modified Crops with Improved Nutritional Properties as Feed Materials in Poultry Nutrition.World's Poultry Science Journal 62(4): 631641.Google Scholar
University of Maryland Cooperative Extension. 2006. “How the MCE Nutrient Management Program Got Started.University of Maryland Cooperative Extension, College Park, MD. Available at www.agnr.umd.edu/users/agron/nutrient/Bkgrnd/History_ANMP.pdf (accessed September 20, 2006).Google Scholar
U.S. Grains Council. 2002. “2001/2002 Value-enhanced Grains Quality Report.” U.S. Grains Council, Washington, DC. Available at www.vegrains.org/documents/2002veg_report/toc/tablecont.html (accessed September 1, 2006).Google Scholar