This study is a first exploratory approach to identify differences and similarities between U.S. and Argentine farmers’ main management strategies. Considering the importance of agriculture in these countries and the key roles both of them play in agriculture world markets, our findings could help agribusiness industries and policymakers to make well-informed decisions based on a more comprehensive understanding of farmers’ behavior in both countries. Regarding sociodemographic aspects, U.S. farming is more family-operated, farmers are older, and farms are, on average, a smaller scale than in Argentina. The results show that U.S. farmers work more on their own farm compared to Argentine farmers. Regarding the factors considered more important in farm management, Argentine and U.S. farmers are more concerned about costs and productive aspects than about marketing issues or human resources aspects. This study also indicates that farmers in both countries prefer to do most of the farm tasks by themselves.
Andrews, D.W. 1988. Chi-square diagnostic tests for econometric models: theory. Econometrica 56(6): 1419-1453.
'Chi-square diagnostic tests for econometric models: theory ' () 56 Econometrica : 1419 -1453.
Antille, D.L., S.C. Imhoff, C.A. Alesso, W.C. Chamen and J.N. Tullberg. 2015. Potential to increase productivity and sustainability in Argentinean agriculture with controlled traffic farming: a short discussion. Acta Technologica Agriculturae 18(3): 83-87.
'Potential to increase productivity and sustainability in Argentinean agriculture with controlled traffic farming: a short discussion ' () 18 Acta Technologica Agriculturae : 83 -87.
Baker, G.A. and J.K. Leidecker. 2001. Does it pay to plan? Strategic planning and financial performance. Agribusiness 17(3): 355-364.
'Does it pay to plan? Strategic planning and financial performance ' () 17 Agribusiness : 355 -364.
Bigelow, D., A. Borchers and T. Hubbs. 2016. US farmland ownership, tenure, and transfer. United States Department of Agriculture, Economic Research Service, Washington, DC, USA.
US farmland ownership, tenure, and transfer , ().
Bisang, R., G. Anlló and M. Campi. 2008. Una revolución (no tan) silenciosa. Claves para repensar el agro en Argentina. Desarrollo Económico 48: 165-207.
'Una revolución (no tan) silenciosa. Claves para repensar el agro en Argentina ' () 48 Desarrollo Económico : 165 -207.
Bongiovanni, R. and J. Lowenberg-DeBoer. 2019. Precision agriculture in Argentina. 3rd Simpósio Internacional de Agricultura de Precisão. August 16-18, 2005. Embrapa Milho e Sorgo, Sete Lagoas, MG, Brazil.
Precision agriculture in Argentina , ().
Burgert, G.W. 2011. Agricultural large commercial producers in Argentina and the United States of America: a comparative study. MSc-thesis, Purdue University, West Lafayette, IN, USA.
Agricultural large commercial producers in Argentina and the United States of America: a comparative study , ().
Calvo, A., J. Calzada and A. Sesé. 2016. El sistema ferroviario en Argentina y la comparación con USA y Brasil. BCR Weekly Review 1785.
'El sistema ferroviario en Argentina y la comparación con USA y Brasil ' () BCR Weekly Review : 1785 .
Calzada, J. and E. Terré. 2017. Análisis de situación del flete camionero en Argentina. BCR Weekly Review 1816.
'Análisis de situación del flete camionero en Argentina ' () BCR Weekly Review : 1816 .
Calzada, J. and P. Bergero. 2017. Fuerte crecimiento de la capacidad de almacenaje de granos. BCR Weekly Review 1825.
'Fuerte crecimiento de la capacidad de almacenaje de granos ' () BCR Weekly Review : 1825 .
Calzada, J., B. Rozadilla and E. Terré. 2018. The extensive use of silo bags in Argentina helped to reduce the seasonal variation in grains prices. BCR Weekly Review 1879.
'The extensive use of silo bags in Argentina helped to reduce the seasonal variation in grains prices ' () BCR Weekly Review : 1879 .
Choumert, J. and P. Phélinas. 2015. Farmland rental values in GM soybean areas of Argentina: do contractual arrangements matter? The Journal of Development Studies 53(8): 1286-1302.
'Farmland rental values in GM soybean areas of Argentina: do contractual arrangements matter? ' () 53 The Journal of Development Studies : 1286 -1302.
Claassen, R., M. Bowman, J. McFadden, D. Smith and S. Wallander. 2018. Tillage intensity and conservation cropping in the United States. No. 277566. United States Department of Agriculture, Economic Research Service, Washington, DC, USA.
Tillage intensity and conservation cropping in the United States , ().
De Obschatko, E.S., S. Soverna and P. Tsakoumagkos. 2016. Las explotaciones agropecuarias empresariales en la Argentina. Instituto Interamericano de Cooperación para la Agricultura, Buenos Aires, Argentina.
Las explotaciones agropecuarias empresariales en la Argentina , ().
Feeney, R. and P. MacClay. 2016. Food security in Argentina: a production or distribution problem? International Food and Agribusiness Management Review 19(2): 1-31.
'Food security in Argentina: a production or distribution problem? ' () 19 International Food and Agribusiness Management Review : 1 -31.
Fienberg, S. 1979. The use of chi-squared statistics for categorical data problems. Journal of the Royal Statistical Society, Series B 41(1): 54-64.
'The use of chi-squared statistics for categorical data problems ' () 41 Journal of the Royal Statistical Society, Series B : 54 -64.
Food and Agriculture Organization of the United Nations. 2018. FAOSTAT database. FAO, Rome, Italy.
Gras, C. 2009. Changing patterns in family farming: the case of the pampa region, Argentina. Journal of Agrarian Change 9(3): 345-364.
'Changing patterns in family farming: the case of the pampa region, Argentina ' () 9 Journal of Agrarian Change : 345 -364.
Groenewald, J.A. 1987. The producer as decision-maker. Agrekon 26(3): 43-46.
'The producer as decision-maker ' () 26 Agrekon : 43 -46.
Huggins, D.R. and J.P. Reganold. 2008. No-till: the quiet revolution. Scientific American 299(1): 70-77.
'No-till: the quiet revolution ' () 299 Scientific American : 70 -77.
Instituto Nacional de Estadísticas y Censos (INDEC). 2019. Complejos exportadores. Vol. 2, No. 38 INDEC, Buenos Aires, Argentina. Available at: https://tinyurl.com/uecweuq
Johnson, R., and J. Monke 2018. What is the ’Farm Bill’. Congressional Information Service, Library of Congress, Washington, DC, USA.
What is the ’Farm Bill’ , ().
Lai, J., N.J.O. Widmar, M.A. Gunderson, D.A. Widmar and D.L. Ortega. 2018. Prioritization of farm success factors by commercial farm managers. International Food and Agribusiness Management Review 21(6): 817-832.
'Prioritization of farm success factors by commercial farm managers ' () 21 International Food and Agribusiness Management Review : 817 -832.
Lema, D. and M. Gallacher. 2015. Argentine agricultural policy: economic analysis and impact assessment using the producer support estimate (PSE) approach. International Conference of Agricultural Economists. August 9-14, 2015. Milan, Italy.
Argentine agricultural policy: economic analysis and impact assessment using the producer support estimate (PSE) approach , ().
Lence, S.H. 2010. The agricultural sector in Argentina: major trends and recent developments. In: J.M. Alston, B.A. Babcock and P.G. Pardey (eds.) The shifting patterns of agricultural production and productivity worldwide. Iowa State University, Ames, IA, USA, pp. 409-448.
'The agricultural sector in Argentina: major trends and recent developments ', in The shifting patterns of agricultural production and productivity worldwide , () 409 -448.
Li, L. and X. Li. 2018. Farm performance and management strategies. International Journal of Food and Agricultural Economics 6(2): 1-25.
'Farm performance and management strategies ' () 6 International Journal of Food and Agricultural Economics : 1 -25.
Li, X., N. Paulson and G. Schnitkey. 2014. Is farm management skill persistent? Selected paper prepared for presentation at the Agricultural & Applied Economics Association’s Annual Meeting. July 27-29, 2014. Minneapolis, MN, USA.
Is farm management skill persistent?
Lódola, A. and R. Fossati. 2004. Servicios agropecuarios y contratistas en la provincia de Buenos Aires. Régimen de tenencia de la Tierra, Productividad y Demanda de Servicios Agropecuarios. Documento de Trabajo No. 115, Universidad de Belgrano, Buenos Aires, Argentina.
Servicios agropecuarios y contratistas en la provincia de Buenos Aires. Régimen de tenencia de la Tierra, Productividad y Demanda de Servicios Agropecuarios , ().
Luccioni, E.M. and N. Gatti. 2014. Comparación de eficiencia técnica agrícola en la región pampeana (1988-2002): estimación por fronteras estocásticas de producción. Asociación Argentina de Economía Agraria. Buenos Aires, Argentina.
Comparación de eficiencia técnica agrícola en la región pampeana (1988-2002): estimación por fronteras estocásticas de producción , ().
MacDonald, J.M., P. Korb and R.A. Hoppe, 2013. Why are farms getting larger? The case of the US. United States Department of Agriculture, Economic Research Service, Washington, DC, USA. Available at: https://www.ers.usda.gov/webdocs/publications/45108/39359_err152.pdf?v=0.
MacDonald, J.M., R.A. Hoppe and D. Newton. 2018. Three decades of consolidation in US agriculture. United States Department of Agriculture, Economic Research Service, Washington, DC, USA.
Three decades of consolidation in US agriculture , ().
McBride, W.D. and J.D. Johnson. 2004. Approaches to management and farm business success. Selected paper presented at the Annual Meeting of the American Agricultural Economics Association. Denver, CO, USA.
Approaches to management and farm business success
Ministry of Agroindustry of Argentina. 2020. Datos agroindustriales. Ministry of Agroindustry of Argentina, Buenos Aires, Argentina. Available at: https://datos.magyp.gob.ar/
Mishra, A., C. Wilson and R. Williams. 2009. Factors affecting financial performance of new and beginning farmers. Agricultural Finance Review 69(2): 160-179.
'Factors affecting financial performance of new and beginning farmers ' () 69 Agricultural Finance Review : 160 -179.
Mishra, A.K., H.S. El-Osta and J.D. Johnson. 1999. Factors contributing to earnings success of cash grain farms. Journal of Agricultural and Applied Economics 31(3): 623-637.
'Factors contributing to earnings success of cash grain farms ' () 31 Journal of Agricultural and Applied Economics : 623 -637.
Nivens, H.D., T.L. Kastens and K.C. Dhuyvetter. 2002. Payoffs to farm management: how important is crop marketing? Journal of Agricultural and Applied Economics 34: 193-204.
'Payoffs to farm management: how important is crop marketing? ' () 34 Journal of Agricultural and Applied Economics : 193 -204.
O’Donoghue, E.J., R.A. Hoppe, D.E. Banker, R. Ebel, K. Fuglie, P. Korb, M. Livingston, C. Nickerson and C. Sandretto. 2011. The changing organization of US farming. United States Department of Agriculture, Economic Research Service, Washington, DC, USA.
The changing organization of US farming , ().
Palmieri, F. and S. Perini. 2019. Importancia del sector agroindustrial en argentina. ¿Cómo se posiciona la agroindustria argentina en el contexto internacional actual? Cámara de Exportadores de la República Argentina y Fundación INAI. Available at: https://tinyurl.com/wnpn25g
Paulson, N. 2013. The impact of revenues and costs on the relative returns of Illinois grain farms. Journal of the American Society of Farm Managers and Rural Appraisers 76(1): 268-281.
'The impact of revenues and costs on the relative returns of Illinois grain farms ' () 76 Journal of the American Society of Farm Managers and Rural Appraisers : 268 -281.
Peiretti, R. and J. Dumanski. 2014. The transformation of agriculture in Argentina through soil conservation. International Soil and Water Conservation Research 2(1): 14-20.
'The transformation of agriculture in Argentina through soil conservation ' () 2 International Soil and Water Conservation Research : 14 -20.
Purdy, B.M., M.R. Langemeier and A.M. Featherstone. 1997. Financial performance, risk, and specialization. Journal of Agricultural and Applied Economics 29(1): 149-161.
'Financial performance, risk, and specialization ' () 29 Journal of Agricultural and Applied Economics : 149 -161.
Qaim, M. and G. Traxler. 2005. Roundup ready soybeans in Argentina: farm level and aggregate welfare effects. Agricultural Economics 32(1): 73-86.
'Roundup ready soybeans in Argentina: farm level and aggregate welfare effects ' () 32 Agricultural Economics : 73 -86.
Ringelberg, J., M. Gunderson and D. Widmar. 2016. Strategies and time allocation of large, commercial agricultural producers. Journal of the American Society of Farm Managers and Rural Appraisers 2015: 202-221.
'Strategies and time allocation of large, commercial agricultural producers ' () 2015 Journal of the American Society of Farm Managers and Rural Appraisers : 202 -221.
Rosario Board of Trade. 2020. Guía Estratégica para el Agro. Rosario Board of Trade, Rosario, Argentina. Available at: https://www.bcr.com.ar/es/mercados/gea
Sadler, R.C., M.A. Clark and J.A. Gilliland. 2013. An economic impact comparative analysis of farmers’ markets in Michigan and Ontario. Journal of Agriculture, Food Systems, and Community Development 3(3): 61-81.
'An economic impact comparative analysis of farmers’ markets in Michigan and Ontario ' () 3 Journal of Agriculture, Food Systems, and Community Development : 61 -81.
Schnepf, R. 2018. US farm income outlook for 2018. United Stated Department of Agriculture, Congressional Research Service, Washington, DC, USA. Available at: https://fas.org/sgp/crs/misc/R45117.pdf
Senesi, S., F.R. Chaddad and H. Palau. 2013. Networks in Argentine agriculture: a multiple-case study approach. Revista de Administração 48(2): 281-294.
'Networks in Argentine agriculture: a multiple-case study approach ' () 48 Revista de Administração : 281 -294.
Senesi, S.I., M.F. Daziano, F.R. Chaddad and H. Palau. 2017. Ownership versus management: the role of farming networks in Argentina. International Food and Agribusiness Management Review 20(2): 221-238.
'Ownership versus management: the role of farming networks in Argentina ' () 20 International Food and Agribusiness Management Review : 221 -238.
Shadbolt, N., 2008. Strategic management of farm businesses: the role of strategy tools with particular reference to the balanced scorecard. Journal of Farm Management 13(3): 205-218.
'Strategic management of farm businesses: the role of strategy tools with particular reference to the balanced scorecard ' () 13 Journal of Farm Management : 205 -218.
Sonka, S.T., R.H. Hornbaker and M.A. Hudson. 1989. Managerial performance and income variability for a sample of Illinois cash grain producers. North Central Journal of Agricultural Economics 11(1): 37-47.
'Managerial performance and income variability for a sample of Illinois cash grain producers ' () 11 North Central Journal of Agricultural Economics : 37 -47.
Thompson, N.M., C. Bir and N.J.O. Widmar. 2018. Farmer perceptions of risk in 2017. Agribusiness 35(2): 182-199.
'Farmer perceptions of risk in 2017 ' () 35 Agribusiness : 182 -199.
Tsourgiannis, L., M. Warren, A. Karasavvoglou and J. Eddison. 2012. Marketing strategies for the primary sector: an empirical study. European Research Studies Journal 15(2): 147-178.
'Marketing strategies for the primary sector: an empirical study ' () 15 European Research Studies Journal : 147 -178.
U.S. Census Bureau. 2020. Foreign trade statistics. U.S. Census Bureau, Washington, DC, USA. Available at: https://www.census.gov/foreign-trade/statistics/highlights/annual.html
Ullah, A. and C. Zheng. 2014. The impact of strategic human resource management practices on Australian dairy farm performance. In: C. Machado and J. Davim (eds.) Work Organization and Human Resource Management. Management and Industrial Engineering. Springer, Cham, Switzerland.
'The impact of strategic human resource management practices on Australian dairy farm performance ', in Work Organization and Human Resource Management. Management and Industrial Engineering , ().
United States Department of Agriculture (USDA). 2019. World agricultural supply and demand estimates. No. 585. USDA, Washington, DC, USA.
United Stated Department of Agriculture / Economic Research Service (USDA/ERS). 2020a. Ag and food sectors and the economy. USDA, Washington, DC, USA. Available at: https://tinyurl.com/hg3ugun
United Stated Department of Agriculture / Economic Research Service (USDA/ERS). 2020b. U.S. agricultural trade. USDA, Washington, DC, USA. Available at: https://tinyurl.com/tkavge6
United States Department of Agriculture / Economic Research Service (USDA/ERS). 2016. America’s diverse family farms, 2016 edition. Economic Information Bulletin No. 164. USDA, Washington, DC, USA.
United States Department of Agriculture / National Agricultural Statistics Service (USDA/NASS). 2015. 2012 census of agriculture, farm typology. Vol. 2, part 10. USDA/NASS, Washington, DC, USA.
United States Department of Agriculture / National Agricultural Statistics Service (USDA/NASS). 2019. Acreage report. USDA, Washington, DC, USA. Available at: https://usda.library.cornell.edu/concern/publications/j098zb09z?locale=en
Wang, S.L. and D.J. Newton. 2015. Productivity and efficiency of US field crop farms: a look at farm size and operator’s gender. In: AAEA & WAEA Joint Annual Meeting. July 26-28, 2015. San Francisco, CA, USA.
Productivity and efficiency of US field crop farms: a look at farm size and operator’s gender
Wang, S.L., P. Heisey, D. Schimmelpfennig and V.E. Ball. 2015. Agricultural productivity growth in the United States: measurement, trends, and drivers. USDA, Economic Research Center, Washington, DC, USA. Available at: https://tinyurl.com/to9hw4r
Westgren, R.E., S.T. Sonka and K.K. Litzenberg. 1988. Strategic issue identification among agribusiness firms. Agribusiness 4(1): 25-37.
'Strategic issue identification among agribusiness firms ' () 4 Agribusiness : 25 -37.
Woodard, J.D., L.V. Chiu, G. Power, D. Vedenov and S. Klose. 2017. Factors affecting changes in managerial decisions. Agribusiness 33(3): 443-465.
'Factors affecting changes in managerial decisions ' () 33 Agribusiness : 443 -465.
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 201 | 136 | 19 |
PDF Views & Downloads | 174 | 105 | 2 |
This study is a first exploratory approach to identify differences and similarities between U.S. and Argentine farmers’ main management strategies. Considering the importance of agriculture in these countries and the key roles both of them play in agriculture world markets, our findings could help agribusiness industries and policymakers to make well-informed decisions based on a more comprehensive understanding of farmers’ behavior in both countries. Regarding sociodemographic aspects, U.S. farming is more family-operated, farmers are older, and farms are, on average, a smaller scale than in Argentina. The results show that U.S. farmers work more on their own farm compared to Argentine farmers. Regarding the factors considered more important in farm management, Argentine and U.S. farmers are more concerned about costs and productive aspects than about marketing issues or human resources aspects. This study also indicates that farmers in both countries prefer to do most of the farm tasks by themselves.
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 201 | 136 | 19 |
PDF Views & Downloads | 174 | 105 | 2 |