# Kansas cow-calf production efficiency

## K-REx Repository

 dc.contributor.author Shear, Hannah Elizabeth dc.date.accessioned 2021-07-30T14:01:32Z dc.date.available 2021-07-30T14:01:32Z dc.identifier.uri https://hdl.handle.net/2097/41584 dc.description.abstract The beef cattle sector has been, and continues to be, the single largest sector in the Kansas agriculture industry, with cattle and calves generating $8.27 billion in cash receipts in 2017 (KDA 2018). In 2017, Kansas produced nearly 5.69 billion pounds of red meat, or nearly 11 percent of the nation’s total (KDA 2018). According to estimates prepared by the Kansas Department of Agriculture, beef cattle farming and ranching has a direct output of approximately$6.3 billion. The cow-calf sector is the beginning of the beef industry; therefore, understanding the factors influencing profitability, efficiency, and structure is very important. The objective of this study is to examine the efficiency of beef cow-calf production in Kansas. Technical, allocative, and scale efficiencies of cow-calf operations are estimated, as well as, analysis on the relationship between input costs and efficiency and profitability and efficiency. en_US Beef cow-calf operations vary considerably in size, available resources, profitability, and the use of technology. The variability in profitability suggests room to improve both production and financial management practices. In addition to estimating efficiency measures of cow-calf operations, the study identifies how marketing strategies (selling calves vs. selling feeders) impacts efficiency. This study contributes to the existing literature by estimating efficiencies for cow-calf producers and identifying production characteristics that impact efficiencies, in addition to, introducing the use of super-efficiency in the cow-calf industry segment. The nonparametric Data Envelopment Analysis approach, along with regression analysis, is used to determine how marketing strategies and production characteristics are correlated with efficiency and profitability. The Kansas Farm Management Association data are used in this analysis with cow-calf producers analyzed in two groups based on their marketing strategy (sells calves or sells feeders). Three years of whole-farm and enterprise data are included in the study, with a total of 240 producers selling calves and 264 producers selling feeders between 2018 and 2020. An input orientation is applied including feed, labor, utilities, and veterinary costs. Output is defined as the gross farm income (in dollars). Producers selling feeders were more technically efficient than those selling calves in both 2018 and 2019; however, in 2020, those that sold calves were slightly more technically efficient on average (0.840) than those that sell feeders (0.830). Technical efficiency was relatively more important than scale and allocative efficiency for both marketing strategies across almost all years (one exception in 2020, with producers marketing calves, where the allocative efficiency correlation coefficient was higher than technical). Technical efficiency was relatively more important in explaining profitability than either allocative or scale efficiency. Regressions indicated that a 0.10 increase in pure technical efficiency increases net income per cow by $96. A 0.10 increase in allocative and scale efficiencies increases net income per cow by$48 and \$97, respectively. This suggests that producers that are experiencing low (or negative) levels of profitability should concentrate on adjusting the size of their herd relative to reducing input use per unit of output. Labor costs had the most impact on technical and allocative efficiency, while feed costs had the greatest impact on scale efficiency. Suggesting that producers wanting to impact their efficiency should focus on feed and labor costs. dc.language.iso en_US en_US dc.subject Cattle en_US dc.subject Beef en_US dc.subject Cow-calf en_US dc.subject Efficiency en_US dc.subject Data envelopment analysis en_US dc.title Kansas cow-calf production efficiency en_US dc.type Dissertation en_US dc.description.degree Doctor of Philosophy en_US dc.description.level Doctoral en_US dc.description.department Department of Agricultural Economics en_US dc.description.advisor Dustin L. Pendell en_US dc.date.published 2021 en_US dc.date.graduationmonth August en_US
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