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April 17, 2024 Hog Pricing
SCL were implemented, and other changes intended to enhance … application of ledger and other provisions. “Other provisions” are not necessarily … it provides producers and other market participants with …
February 1, 2008 Water Policy
or place monetary value on other benefits of water conservation … management professionals, and other stakeholders will be used … scale being analyzed. In other words, if analysis is performed …
July 1, 1996 Section 2: Considering Cooperatives
farm/ranch operation or in other ways. A negative net present … reasonable to expect. Other cooperatives distribute net … membership investment to other investments with similar …
September 2, 2022 Ag Law Issues
financial statement income. In other words, it is a 15% tax on … exchange for cash or property other than the corporation’s … stock rights, as well as any other “economically similar” …
March 26, 2013
than 11’ & 12’, but no other yr since 1990… – Cattle … Stocks Alfalfa Hay Production Other Hay Production 01/11/13Livestock … Philippines 123 105 105 109 4% 4 Other Asia 461 538 573 912 70 …
October 16, 2020 Animal ID & Traceability
Stocker/backgrounder 50 25.8% Other 74 38.1% Total 194 100.0 … 1.1% Carcass basis 2 1.1% Other 41 22.9% Total 179 100.0 … Tell buyer orally 39 58.2% Other 3 4.5% Total 67 100.0 …
January 31, 2013
Stocks Alfalfa Hay Production Other Hay Production 01/11/13Livestock … – Decision aides, these events, regularly updated online … Prices” www.agmanager.info Other K-State Decision Aides (http://www.agmanager.info/Tools/default.asp) 36 • …
December 11, 2012
industry stakeholders… 27 Other points for discussion • … projections, decision aides, these events… • Do you know your … Prices” www.agmanager.info Other K-State Decision Aides (http://www.agmanager.info/Tools/default.asp) 34 • …
November 1, 2012
industry stakeholders… 37 Other points for discussion • … projections, decision aides, these events • Do you know your comparative … Prices” www.agmanager.info Other K-State Decision Aides (http://www.agmanager.info/Tools/default.asp) 44 • …
December 1, 2016 KFMA Research
                                                                                                                                                    5  Results    Table 3. KFMA Farm Transition Probabilities 1993‐2014      The results from this analysis were as expected. Some Kansas farms consistently outperformed their peers  due to an unknown management, geographical, or structural advantage. Despite farmers being exposed to many  uncontrollable variables such as: temperature, rainfall, soil characteristics, and local supply and demand fluctuations  they were able to persist within their current financial categories. Table 3 presents the estimated probability for a  farm to persist in the current financial category or to transition to another financial category, i.e. transition  probabilities. The diagonal can be interpreted as the probability of a farm to persist or remain in the same financial  category. For example, a farm classified in Category 0 has a likelihood of 92% to remain in that state. The diagonal of  probabilities indicates that farms in Category 1 and Category 3 are more likely to stay in their current financial  categories than transition to any other financial category. Farms in Category 1 (financially favorable with positive  NFI/AC and D/A below 0.4) had the highest probability (67%) indicating that Category 1 farms are most persistent.  Close inspection of the probabilities along the diagonal shows that Category 1 and 3 hold similar probabilities, but  Category 2 and 4 are not persistence. Farms in these two categories are likely to transition away from their current  financial categories to another category. This phenomenon is due primarily to a farmer’s ability to have more control  of their D/A than their NFI/AC. Farms are likely to achieve positive NFI/AC and improve their standings, but their D/A  is a longer‐term challenge that is not easily changed. A final key observation that can be garnered from this table is  the financial category that a farm is most likely to exit or enter the KFMA data set. In both cases (enter/exit)  probabilities are evenly dispersed between 1 and 3%. This shows that KFMA is a diverse statewide dataset and does  not favor any one type of farm, according to NFI/AC and D/A.   Category  …