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| Registros recuperados: 158 | |
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| Hoppe, Robert A.; Korb, Penelope J.; O'Donoghue, Erik J.; Banker, David E.. |
| U.S. farms are diverse, ranging from small retirement and residential farms to enterprises with annual sales in the millions. Nevertheless, most U.S. farms—98 percent in 2004—are family farms. Even the largest farms tend to be family farms. Large-scale family farms and nonfamily farms account for 10 percent of U.S farms, but 75 percent of the value of production. In contrast, small family farms make up most of the U.S. farm count, produce a modest share of farm output, and receive substantial off-farm income. Many farm households have a large net worth, reflecting the land-intensive nature of farming. |
| Tipo: Report |
Palavras-chave: Contracting; Family farms; Farm businesses; Farm financial performance; Farm-operator household income; Farm operators; Farm structure; Farm type; Million-dollar farms; Small farms; ERS; USDA; Agricultural and Food Policy; Farm Management. |
| Ano: 2007 |
URL: http://purl.umn.edu/59032 |
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| Johnson, James D.; Perry, Janet E.; Korb, Penelope J.; Sommer, Judith E.; Ryan, James T.; Green, Robert C.; Durst, Ron L.; Monke, James D.. |
| Family farms vary widely in size and other characteristics, ranging from very small retirement and residential farms to establishments with sales in the millions of dollars. The farm typology developed by the Economic Research Service (ERS) categorizes farms into groups based primarily on occupation of the operator and sales class of the farm. The typology groups reflect operators' expectations from farming, position in the life cycle, and dependence on agriculture. The groups differ in their importance to the farm sector, product specialization, program participation, and dependence on farm income. These (and other) differences are discussed in this report. |
| Tipo: Report |
Palavras-chave: Agricultural Resource Management Study (ARMS); Family farms; Farm businesses; Farm financial situation; Farm operator household income; Farm operators; Farm structure; Farm typology; Female farm operators; Government payments; Spouses of farm operators; Taxes; Agricultural Finance; Farm Management. |
| Ano: 2001 |
URL: http://purl.umn.edu/33707 |
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| Hoppe, Robert A.; Banker, David E.; MacDonald, James M.. |
| American farms vary widely in size and other characteristics, but farming is still an industry of family businesses. Ninety-eight percent of farms are family farms, and they account for 82 percent of farm production. Small family farms make up most of the U.S. farm count and hold the majority of farm assets, but they produce a modest share of U.S. farm output. In contrast, large-scale family farms and nonfamily farms—only 12 percent of all farms—account for 84 percent of farm production. Small farms are less profitable than large-scale farms, on average, and the households operating them tend to rely on off-farm income for their livelihood. Because small-farm households receive most of their income from off-farm work, general economic policies—such as tax... |
| Tipo: Report |
Palavras-chave: Family farms; Farm businesses; Farm financial performance; Farm-operator household income; Farm operators; Farm structure; Farm type; Government payments; Limited-resource farms; Small farms; ERS; USDA; Agribusiness; Agricultural Finance; Farm Management. |
| Ano: 2010 |
URL: http://purl.umn.edu/96653 |
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| Kloczko-Gajewska, Anna; Sulewski, Piotr. |
| To answer the research question: what methods of protection against risk do Polish farmers use depending on the farm type, the sample was divided into clusters depending on farm characteristics. The results show that small farms use completely different risk management tools than medium and large farms, no matter what their main product is. There is also a significant difference between farms that have relatively large share of off-farm income and the remaining ones. Summing up, policy makers should prepare a diversified offer of risk management tools for farmers, depending on their needs. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk in agriculture; Risk management; Family farms. |
| Ano: 2008 |
URL: http://purl.umn.edu/48109 |
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| Todorovic, Sasa; Muncan, Mihajlo; Miljkovic, Marina. |
| Family farms are the most significant development entities of rural areas. The welfare of the rural population depends on the success of their business operations and ability to survive in the market. Bearing this in mind, it is necessary to find ways and create the adequate conditions to activate development potentials. The objective of this study is therefore to systematize potential sources of farm households’ income, with special emphasis on how and why they diversify their income and activities. Results of the research unambiguously show that diversification of income and activities are now integral part of business activities of numerous farms. No doubt, importance of diversification will increase in future period, considering that more dynamic... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Diversification; Competitiveness; Family farms; Agribusiness; Farm Management; Labor and Human Capital. |
| Ano: 2009 |
URL: http://purl.umn.edu/57420 |
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| Hoppe, Robert A.; Korb, Penelope J.; Banker, David E.. |
| Million-dollar farms—those with annual sales of at least $1 million—accounted for about half of U.S. farm sales in 2002, up from a fourth in 1982 (with sales measured in constant 2002 dollars). By 2006, million-dollar farms, accounting for 2 percent of all U.S. farms, dominated U.S. production of high-value crops, milk, hogs, poultry, and beef. The shift to million-dollar farms is likely to continue because they tend to be more profitable than smaller farms, giving them a competitive advantage. Most million-dollar farms (84 percent) are family farms, that is, the farm operator and relatives of the operator own the business. The million-dollar farms organized as nonfamily corporations tend to have no more than 10 stockholders. |
| Tipo: Report |
Palavras-chave: Contracting; Family farms; Farm businesses; Farm financial performance; Farm-operator household income; Farm operators; Farm structure; Farm type; Million-dollar farms; Farm Management. |
| Ano: 2008 |
URL: http://purl.umn.edu/58623 |
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| Hoppe, Robert A.; MacDonald, James M.; Korb, Penelope J.. |
| Ninety-one percent of U.S. farms are classified as small—gross cash farm income (GCFI) of less than $250,000. About 60 percent of these small farms are very small, generating GCFI of less than $10,000. These very small noncommercial farms, in some respects, exist independently of the farm economy because their operators rely heavily on off-farm income. The remaining small farms—small commercial farms—account for most small-farm production. Overall farm production, however, continues to shift to larger operations, while the number of small commercial farms and their share of sales maintain a long-term decline. The shift to larger farms will continue to be gradual, because some small commercial farms are profitable and others are willing to accept losses. |
| Tipo: Report |
Palavras-chave: Family farms; Farm businesses; Farm financial performance; Farm-operator household income; Farm operators; Farm structure; Noncommercial farms; Small farms; Small commercial farms; Agricultural and Food Policy; Farm Management. |
| Ano: 2010 |
URL: http://purl.umn.edu/58300 |
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| Samuel-Rosa,Alessandro; Dalmolin,Ricardo Simão Diniz; Miguel,Pablo; Zalamena,Jovani; Dick,Deborah Pinheiro. |
| The assessment of soil quality is based on indicators and indices derived from soil properties. However, intrinsic soil properties may interfere with other soil properties that vary under different land uses and are used to calculate the indices. The aim of this study was to assess the extent to which intrinsic soil properties (clay and iron oxide contents) explain variable soil properties (sum of bases, potential acidity, organic carbon, total porosity, and bulk density) under different land uses (native forest, no-tillage and conventional agriculture) on small family farms in Southern Brazil. The results showed that the five properties evaluated can be included in soil quality assessments and are not influenced by the clay and iron oxide contents. It was... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Soil quality; Family farms; ANCOVA; Spurious correlation. |
| Ano: 2013 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832013000500013 |
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| Leite,João Guilherme Dal Belo; Silva,João Vasco; Justino,Flávio Barbosa; Ittersum,Martin K. van. |
| Pushed by the Brazilian biodiesel policy, sunflower (Helianthus annuus L.) production is becoming increasingly regarded as an option to boost farmers' income, particularly under semi-arid conditions. Biodiesel related opportunities increase the demand for decision-making information at different levels, which could be met by simulation models. This study aimed to evaluate the performance of the crop model OILCROP-SUN to simulate sunflower development and growth under Brazilian conditions and to explore sunflower water- and nitrogen-limited, water-limited and potential yield and yield variability over an array of sowing dates in the northern region of the state of Minas Gerais, Brazil. For model calibration, an experiment was conducted in which two... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Production systems; Family farms; Biodiesel crops; Climate classification. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000500001 |
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| Registros recuperados: 158 | |
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