1,722,181 research outputs found
The relationship between financial performance and changes in farm size in Illinois grain farms
Full text linkThe average size of Illinois grain farms has been increasing. Economies of size have been pointed as a possible driver for this pattern, suggesting an incentive to grow. This study will investigate the relationship between farm size and financial performance across Illinois grain farmers. The study relies on balanced panel data of 297, 297 and 97 farmers, with individual and time fixed effects, in 3 different periods: 2010 to 2014, 2015 to 2019 and 2010 to 2019. Moreover, a 5-year consecutive rolling period is used to investigate this relationship from 2003 to 2019. Robustness checks also are conducted to analyze the relationship comparing top and bottom groups sorted by equity-to-asset and farm size. In addition, the study tests different relationships of farm size and different financial dependent variables: (i) logarithmic, (ii) quadratic and (iii) linear. Overall, results show that an increase in size is strongly related to higher capital and labor efficiencies and moderately and positively related to higher profitability ratios (ROA, Management Returns Margin and Operator and Land return margin). Results in general were consistent between bottom and top third groups of farm size and equity-to-asset, except for land cost ratio, which needs further investigation. Farm size was not significant in all financial variables, such as revenue per acre. This suggests that economies of size are reflected in costs, not in revenues. Moreover, no evidence of diseconomies of scale were found, which suggests that the pattern of consolidation is likely to continue.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-08-01The student, Henrique Christiano De Sousa Monaco, accepted the attached license on 2021-06-14 at 12:16.The student, Henrique Christiano De Sousa Monaco, submitted this Thesis for approval on 2021-06-14 at 12:20.This Thesis was approved for publication on 2021-06-21 at 10:19.DSpace SAF Submission Ingestion Package generated from Vireo submission #16686 on 2022-01-12 at 13:03:07Made available in DSpace on 2022-01-12T22:51:36Z (GMT). No. of bitstreams: 2
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Previous issue date: 2021-06-21Embargo set by: Seth Robbins for item 121173
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What to Expect as Corn Yields Face a Third Straight La Niña
Full text linkMeteorologists are forecasting a third consecutive year of La Niña. The occurrence of two successive La Niña winters in the Northern Hemisphere is common, however, having three in a row is relatively rare. A triple La Niña has happened only twice since 1950. The last time La Nina was in place for three years in a row was from 1999 to 2001. But what could this mean for corn production in Brazil, the United States, and Argentina? In the previous article, we presented descriptive analyses of deviations from the trendline of soybean yields over the last 30 years (see farmdoc daily, May 23, 2022). In this article, we made the same analysis to evaluate corn yields in the aforementioned countries. La Niña is expected to weaken but persist through the Northern Hemisphere summer and into early winter 2022-23.Los meteorólogos pronostican un tercer año consecutivo de La Niña. La ocurrencia de dos inviernos consecutivos de La Niña en el hemisferio norte es común, sin embargo, tener tres seguidos es relativamente raro. La Niña triple ha ocurrido solo dos veces desde 1950. La última vez que La Niña estuvo presente durante tres años seguidos fue de 1999 a 2001. Pero, ¿qué podría significar esto para la producción de maíz en Brasil, Estados Unidos y Argentina? En el artículo anterior, presentamos análisis descriptivos de las desviaciones de la línea de tendencia de los rendimientos de soja en los últimos 30 años (ver farmdoc diario, 23 de mayo de 2022). En este artículo, hicimos el mismo análisis para evaluar los rendimientos de maíz en los países antes mencionados. Se espera que La Niña se debilite pero persista durante el verano del hemisferio norte y hasta principios del invierno de 2022-23.Estación Experimental Agropecuaria PergaminoFil: Colussi, Joana. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Schnitkey, Gary. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Cabrini, Silvina María. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentin
Beyond the Climate: Multiple Sources of Risk in Agriculture in the United States, Brazil and Argentina
No full textThis report presents the results of a survey on farmers’ perceptions in the U.S. Midwest, the Argentine Pampas, and southern Brazil regarding the main sources of risk facing their businesses. Conducted in 2022 and 2023, the survey included 475 crop producers from the United States (137), Argentina (158), and Brazil (180), the main grain production areas in the world. Farmers across all three regions identified multiple sources of business risk, with significant differences observed among the countries in the frequency of selected risk sources.EEA PergaminoFil: Cabrini, Silvina M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Área de Economía y Sociología; ArgentinaFil: Cabrini, Silvina M. Universidad Nacional del Noroeste de la Provincia de Buenos Aires. Escuela de Ciencias Agrarias, Naturales y ambientales. Cátedra de Economía General y Agraria; ArgentinaFil: Colussi, Joana. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Schnitkey, Gary. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Irwin, Scott. University of Illinois. Department of Agricultural and Consumer Economics; Estados Unido
Argentina and Brazil Could Expand Wheat Production Due to the War in Ukraine
Full text linkThe war in Ukraine is expected to expand wheat production in Argentina and Brazil, the primary wheat-producing nations in South America. Both nations will likely already increase wheat planting this season, which begins in May 2022. The high price of wheat after a significant shock to agricultural commodity markets caused by the Russian invasion of Ukraine is undoubtedly an incentive for increased planting of wheat in Argentina and Brazil, as well in the United States (see farmdoc daily March 29, 2022). However, high input prices, in particular the price of fertilizer, could partially offset the incentives for increased planting of wheat in South America.Se espera que la guerra en Ucrania amplíe la producción de trigo en Argentina y Brasil, las principales naciones productoras de trigo en América del Sur. Es probable que ambas naciones ya aumenten la siembra de trigo en esta temporada, que comienza en mayo de 2022. El alto precio del trigo después de un impacto significativo en los mercados de productos básicos agrícolas causado por la invasión rusa de Ucrania es sin duda un incentivo para aumentar la siembra de trigo en Argentina y Brasil. , así como en los Estados Unidos (ver farmdoc diario 29 de marzo de 2022). Sin embargo, los altos precios de los insumos, en particular el precio de los fertilizantes, podrían contrarrestar parcialmente los incentivos para aumentar la siembra de trigo en América del Sur.Fil: Colussi, Joana. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Schnitkey, Gary. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Cabrini, Silvina María. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; Argentin
Third Consecutive La Niña? What to Expect from Soybean Yields in the United States, Brazil and Argentina
Full text linkInternational long-term forecast models hint at the possibility of a third consecutive La Niña event this year. It is not uncommon to see La Niña occurring over two successive seasons. This happened in both 2021-2022 and 2011-2012. However, it is rare to see three consecutive La Niña events. But what could this mean for soybean production in Brazil, the United States, and Argentina? This article presents descriptive analyses of deviations from the trendline of soybean yields over the last 30 years in these countries, the three largest producers and exporters of soybeans in the world, to predict what to expect from soybean yields this year. Although, the strength of individual La Niña events and various climate factors make each event unique.Los modelos internacionales de pronóstico a largo plazo apuntan a la posibilidad de un tercer evento consecutivo de La Niña este año. No es raro ver que La Niña ocurra durante dos temporadas sucesivas. Esto sucedió tanto en 2021-2022 como en 2011-2012. Sin embargo, es raro ver tres eventos consecutivos de La Niña. Pero, ¿qué podría significar esto para la producción de soja en Brasil, Estados Unidos y Argentina? Este artículo presenta análisis descriptivos de las desviaciones de la línea de tendencia de los rendimientos de soja durante los últimos 30 años en estos países, los tres mayores productores y exportadores de soja del mundo, para predecir qué esperar de los rendimientos de soja este año. Aunque, la fuerza de los eventos individuales de La Niña y varios factores climáticos hacen que cada evento sea único.Estación Experimental Agropecuaria PergaminoFil: Cabrini, Silvina María. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino; ArgentinaFil: Colussi, Joana. University of Illinois. Department of Agricultural and Consumer Economics; Estados UnidosFil: Schnitkey, Gary. University of Illinois. Department of Agricultural and Consumer Economics; Estados Unido
Cost and timeliness of alternative nitrogen application methods
Full text linkProduction, in terms of revenue and cost for well-drained farms in the Midwest, is a function of amongst other things, climatic variability. In the current situation of low commodity prices, producers often focus on ways in which they can modify their practices to maximize profits. With nitrogen being the single most important macronutrient for corn production in the Midwest, the timing of application has several implications both financially and environmentally. Regulation of fall-applied nitrogen is a timely issue to address. There has been an increase in technology to be able to apply nutrients closer to crop utilization but there is an impending question of how all planned nitrogen application will be accomplished in a policy and weather constrained system. This thesis develops cost analysis for nitrogen application completion given workday probabilities and machinery specifications. Improving nitrogen use efficiency has been the goal of many while adaptation of new technology has been slow. This paper seeks to provide insight into the decision-making process that goes along with nitrogen application which includes costs and probability of completion.Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2017-09-29 without embargo termsThe student, Shawn Kinkade, accepted the attached license on 2017-06-15 at 10:56.The student, Shawn Kinkade, submitted this Thesis for approval on 2017-06-15 at 11:01.This Thesis was approved for publication on 2017-06-16 at 12:45.DSpace SAF Submission Ingestion Package generated from Vireo submission #11226 on 2017-09-29 at 11:26:42Made available in DSpace on 2017-09-29T16:37:57Z (GMT). No. of bitstreams: 2
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Previous issue date: 2017-06-1
Cae producción de trigo en Argentina, mientras alcanza récord en Brasil
Full text linkBrasil ha tenido una cosecha récord de trigo en la temporada 2022-2023. Según la Compañía Nacional de Abastecimiento(Conab), agencia de estadísticas y suministro de alimentos de este país, se registra la mayor área sembrada de los últimos 32 años. La cosecha histórica también es consecuencia de condiciones climáticas ideales que se traducen en altos rendimientos. Por el contrario, se proyecta que Argentina tenga la cosecha más baja en siete años debido a la severa sequía y las heladas poco comunes en los meses de octubre y noviembre. Este artículo presenta una descripción general de la producción de trigo en el año comercial actual en Argentina y Brasil, las principales naciones productoras de trigo en Sudamérica.EEA PergaminoFil: Colussi, Joana. Universidad de Illinois. Departamento de Economía Agrícola y del Consumidor; Estados UnidosFil: Schnitkey, Gary. Universidad de Illinois. Departamento de Economía Agrícola y del Consumidor; Estados UnidosFil: Paulson, Nick. Universidad de Illinois. Departamento de Economía Agrícola y del Consumidor; Estados UnidosFil: Cabrini, Silvina M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Área de Economía y Sociología; ArgentinaFil: Paolilli, María Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Desarrollo Rural; ArgentinaFil: Fillat, Francisco Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Economía y Sociología; Argentin
Evaluating the potential for plant-based meat to capture the U.S. meat market
Full text linkThis thesis describes factors influencing the meatless meat industry’s potential to expand, and it estimates the U.S. beef market’s response to competition from plant-based meat products. The first part of the analysis provides an overview of the meatless meat industry and outlines factors that influence the new industry’s potential to capture market from the U.S. livestock industry. These factors include consumer sensory acceptance of and willingness to pay for meatless meat products, technical feasibility of producing the products at scale, the economic feasibility of pricing them competitively with meat, and how the U.S. livestock market and U.S. agriculture lobbyists will respond to the new competition. Next, the analysis provides an empirical analysis of one of these factors – the U.S. livestock market’s response to competition from plant-based meat, using an examination of how competition between plant-based meat and ground beef would affect the entire beef market. The analysis estimates price changes for ground beef, fed steer, and choice and select beef markets using price elasticities and historic beef price data from 2013-2019. Joint-product theory and an OLS regression of historic beef prices indicate that these beef markets are linked, so plant-based meat’s competition with ground beef will affect supply and prices in the fed steer and choice/select markets. Beef price estimates are calculated for different scenarios in which plant-based meat captures 5% to 25% of the ground beef market. It is estimated that ground beef prices will drop 2.10% to 4.00% if plant-based meat takes 5% of its market, and its price elasticity of supply and demand would be -1.25 in the new market equilibrium.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2023-08-01The student, Margaret Cornelius, accepted the attached license on 2021-07-13 at 16:18.The student, Margaret Cornelius, submitted this Thesis for approval on 2021-07-13 at 16:33.This Thesis was approved for publication on 2021-07-15 at 12:11.DSpace SAF Submission Ingestion Package generated from Vireo submission #16918 on 2022-01-12 at 12:54:58Made available in DSpace on 2022-01-12T22:35:14Z (GMT). No. of bitstreams: 2
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Previous issue date: 2021-07-15Embargo set by: Seth Robbins for item 121117
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Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemAuthor requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Onl
Récord en Brasil, caída en Argentina : cosechas contrastantes de soja en América del Sur
Full text linkLos países sudamericanos, que representan alrededor del 55% del suministro mundial de soja, están experimentando expectativas de cosecha variables en este ciclo agrícola. Mientras Brasil está a punto de romper un récord en la producción de soja, Argentina tendrá su peor cosecha en más de dos décadas. Los contrastes en los rendimientos resultan de los efectos de La Niña. Se espera que la producción de soja de América del Sur supere la del año anterior, pero en menor medida de lo que se pensó inicialmente. Las consecuencias de una mayor cosecha de soja en América del Sur, combinadas con el potencial de una mayor cosecha de soja en EEUU en el otoño, podrían tender a empujar los precios a la baja, una tendencia que ya es evidente en el mercado de materias primas en 2023, que podría volverse más pronunciada en los próximos meses.EEA PergaminoFil: Colussi, Joana. Universidad de Illinois. Departamento de Economía Agrícola y del Consumidor; Estados UnidosFil: Schnitkey, Gary. Universidad de Illinois. Departamento de Economía Agrícola y del Consumidor; Estados UnidosFil: Paulson, Nick. Universidad de Illinois. Departamento de Economía Agrícola y del Consumidor; Estados UnidosFil: Cabrini, Silvina M. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Área de Economía y Sociología; ArgentinaFil: Paolilli, María Cecilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Economía y Sociología Rural; ArgentinaFil: Fillat, Francisco Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Economía y Sociología; Argentin
Developing a Farm Income Projection Model for Illinois farms to determine advantages of the Agricultural Act of 2014's farm safety net options
Full text linkThe Farm Income Projection Model is intended to model the effects of the new provisions in the Agricultural Act of 2014, particularly in the farm safety net area, on the financial statements of case farms located throughout Illinois. The Farm Income Projection Model is detailed, and can be made to accurately represent a specific size grain farm located in all counties in the state of Illinois. The model produces financial statements for a five year projection. These statements include budgets, balance sheets, income statements, cash flows, and capital repayment capacities. The results from the model are dependent on the several inputs including farm size, location, crops planted, base acres, expense adjustments, yields, prices, crop insurance products, and Farm Bill policies. Specific case grain farms were selected to include a variety of locations, sizes, and rotations that are run with price scenarios and compare the different Agricultural Act of 2014 choices.Item withdrawn by Laura Spradlin ([email protected]) on 2014-12-08T22:45:56Z
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University of Illinois Theses & Dissertations (ID: 1)
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