Download or read book Analysis of Factors Affecting Farm Growth in a Sample of Kansas Farms written by Mario A. Villatoro Sanchez and published by . This book was released on 2007 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Linking Efficiency Profitability and Growth of Kansas Farms written by Cody O'Brien and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this analysis was to examine the profitability and efficiency of Kansas farms in order to draw inferences among the profitability, efficiency, and growth of agricultural producers in Kansas. The time period analyzed was 2005 to 2015. Farms in the sample include a mix of 564 crop and/or livestock operations with 11 years of continuous data through the Kansas Farm Management Association data-bank. Efficiency scores were calculated to determine how close each farm was to the production possibilities frontier, or their cost efficiency. Profitability measures, (operating profit margin and return on assets), were obtained for each farm. The profitability dynamics in 2014 and 2015 for these farms changed compared to previous years. Crop farms generated less profits in 2014 and 2015 compared to previous years, and relative profits from average fluctuated more for sampled farms in 2014 and 2015. Farms were also categorized into risk classes. These classifications aim at distinguishing farms that are profitable or not, and their level of solvency, utilizing their net farm income from operations and their debt to asset ratio. Farms are migrating from the low risk classification, showing that Kansas farms are becoming less profitable, but are not transitioning to a higher risk solvency state. These farms will need to focus on utilizing their inputs more efficiently to keep their solvency levels in check. After analyzing persistence in profitability, the results suggest that farms with higher return on assets tend to be more solvent, but farms with higher operating profit margin tend to be less solvent. The analysis also suggests that there might have been persistence in profits in the years prior to 2015. The analysis of relative positioning of farms in terms of return on assets suggests that during 2007-2011 some farms were able to consistently differentiate themselves by generating either below or above normal profits. Some farms were able to become more profitable in 2012 and 2013, while others lagged behind supported by regression results that signaled divergence of profitability levels. The relative positioning analysis for operating profit margin indicates that farms had similar operating profit margins from 2010 through 2014, and divergence occurred in 2015 by farms that were able to differentiate themselves more through the average operating profit margin. Next the efficiencies of the farms were examined. Analysis of the efficiency scores suggests that the cost efficiencies of Kansas farms are not explained by risk classification significantly, but the crop-labor percentage ratio significantly explains the cost efficiency of the farms. The relationship between cost efficiency and profitability measures proved to be the strongest out of the three performance measures due to their correlation. The final step in the analysis was to examine farm characteristics of the top performing farms. Farms were ranked by profitability measurements and the efficiency measure. Variables of interest that were significantly different between the top 25 percent and the bottom 25 percent of farms include total farm assets, value of farm production, crop-labor percentage, crop acres, number of workers, and age of operators.
Download or read book Studies on the Economic Efficiency of Kansas Farms written by and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study focused on the economic efficiency of Kansas farms. The goal was to investigate factors and how they might affect farms and their economic and production performance. Kansas was selected as the region of study for its large agricultural production and distinctive type of multiple-operation farms. Farms in the sample could produce three outputs, crops, livestock and custom work. Inputs for the farms included measures of capital, labor, land and purchased inputs. Production outputs were measured in bushels and tons; input quantities were computed from input expenditures applying an input price index taken from the US Department of Agriculture in real US dollars. The dataset consisted of a 10-year (1998-2007) panel of 456 multi-output farms belonging to the Kansas Farm Management Association (KFMA). Data Envelopment Analysis (DEA) techniques were used to construct a non-parametric efficiency frontier and calculate technical efficiency (TE), allocative efficiency (AE), scale efficiency (SE), and overall or economic efficiency (OE) for each farm and each year. A discretionary input oriented DEA technique was used to assess the effect of capital availability as a farm input and its impact on farms' efficiencies. Efficiency scores in this problem were compared to the farms' scores when the level of debt was accounted for as a farm input. Panel data Tobit analysis was applied to the farms' inefficiency scores to investigate the causality of selected farm characteristics on technical, allocative, scale and overall inefficiencies. For the sampled farms and period, results confirmed that larger farms were more efficient than smaller ones. Farms specializing in livestock products, such as dairy and beef, were reported to be slightly more overall efficient than crop or mixed farms. Some economies of scope were found between custom work operations and crops. Financial structure of the farms was measured using the ratio of total debt to total assets for each farm. According to the results, larger leverage ratios increased all farm efficiencies. The positive effect of debt or capital availability in Kansas farms efficiencies was confirmed. The results of the technical efficiency discretionary DEA model agreed with this finding.
Download or read book Factors Affecting Inter tract Variations in Prices of Farmland in Kansas written by Wilfred H. Pine and published by . This book was released on 1978 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes procedures, findings, and limitations in analyzing sale data for Kansas farm real estate from 1972 to 1976 inclusive.
Download or read book Factors Affecting the Return for Management on Kansas Farms written by Raymond J. Doll and published by . This book was released on 1938 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Implications of Projected Changes in Farming Opportunities in Western Kansas written by Frank Orazem and published by . This book was released on 1962 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Analysis of Factors Associated with Net Farm Income of Farmers in Southeast Kansas written by Mohammad Waliullah and published by . This book was released on 1964 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An economic analysis of highway improvements and other factors affecting farm real estate values in selected areas of Kansas written by Jack D. Edwards and published by . This book was released on 1968 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Value Degree and Consistency of Kansas Crop Farms Relative Characteristics Pratices and Management Performances written by Cooper H. Morris (Jr.) and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This research analyzes how crop farms can achieve a higher net income per acre than other operations by farming fundamentally differently than others. There are many factors that are important to the long-term viability of today's crop operations, one of which is how farms profitability compares with other operations. This determines farms' ability to compete for land, outlast other operations through periods of unprofitability, and produce crops at long run equilibrium prices. These factors are relevant in today's crop production industry where farms sit on a segment of the agribusiness supply chain. Therefore, in the interest of providing farms relevant information to manage their operations, this research analyzes how farms can distinguish their performance from other operations by accessing land and equipment resources, production practices for growing crops, and focusing their management efforts differently than other operations. There are three parts to this analysis. First, farms are broken down by characteristics, practices, and management performances. Then an econometric analysis quantifies the integrated correlation between farms' distinguished characteristics, practices, and management performances and their distinguished net incomes per acre. Next a standard deviation analysis measures the degree to which farms are capable of distinguishing particular characteristics, practices, and management performances from other operations. Lastly, the performance of farms over the 2001 to 2010 time period is used to quantify how feasible it is for farms to maintain particular differences from other operations. Data used in this analysis were provided by the Kansas Farm Management Association, Kansas State University's Department of Agricultural Economics, and Kansas's National Agricultural Statistics Service office. The results suggest the way farms distinguish their characteristics, practices, and management performances from other operations impacts how their net income compares to other operations. The econometric analysis found that relative farm size, share of rented acres, the value of overhead and equipment investment per acre, government payments, planting intensity, risk, and cost, yield, and price management performances were all significantly related to farms' relative net income. In regards to farms' comparative profitability, this suggests farms should be aware of how their characteristics, practices, and management performances compare to other operations. The results also suggest the degree to which and the consistency with which farms can distinguish particular characteristics, practices, and management performances are different from one another. Over the 2001 to 2010 period, Kansas farms distinguished their characteristics from other operations to a larger degree than they distinguished their practices and management performances. Farms also maintained differences in their characteristics more consistently than they maintained differences in their practices and management performances. This suggests farms that are actively seeking to distinguish their net income per acre from other operations should be aware of the degree and consistency with which they can maintain particular differences from other operations.
Download or read book Adapting Western Kansas Farms to Uncertain Prices and Yields written by Emery N. Castle and published by . This book was released on 1954 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Factors Affecting the Managerial Input on Kansas Farms written by Lonl Rex Stucker and published by . This book was released on 1963 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Factors Affecting Farm Growth Rates written by Dwaine Edward Umberger and published by . This book was released on 1972 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Analysis of Kansas Farm Structure 1973 2007 written by Lindsey K. Snider and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis will determine if economies of size are present in production agriculture or the farming sector and if convergence or divergence is occurring. Change in the farming sector was analyzed using five-year moving averages from 1973 to 2007. Six key variables were analyzed; value of farm production, total acres, economic total expense ratio, operating profit margin ratio, asset turnover ratio, and percent of livestock income. Data from the Kansas Farm Management Association were used in this study. To be included in the study, a farm had to have five years of continuous, usable data for a five-year period between 1973 and 2007. Moving five-year averages were calculated for the farms that met this qualification. Data were sorted by value of farm production and broken down by quartiles and deciles. Trend regressions were used to calculate growth rates of the key variables and the difference between the top and bottom quartiles of the variables. Results suggested that acreage per farm is increasing, farms are doing better at covering their total economic costs, profit margin per farm has decreased, farms are utilizing their assets better, and the percent of livestock income per farm has decreased. When regressing the difference between the top and bottom quartiles to determine growth rates, it was evident that the gaps between the top and bottom quartiles of five of the six variables have widened. The differences in the percent of livestock income between farm quartiles and deciles were not significant. Convergence analysis confirmed the results of the trend regressions and suggested that divergence is evident in the Kansas farming sector. Graphical representation supports the findings of this thesis.
Download or read book Essays on Kansas Farmers Willingness to Adopt Alternative Energy Crops and Conservation Practices written by Jason Edward Fewell and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The adoption of new technologies on-farm is affected by socio-economic, risk management behavior, and market factors. The adoption of cellulosic biofuel feedstock enterprises and conservation practices plays an important role in the future of Kansas agriculture. No set markets currently exist for bioenergy feedstocks and farmers may be reluctant to produce the feedstocks without contracts to mitigate uncertainty and risk. Adoption of conservation practices to improve soil productivity and health may be affected by risk considerations also. The purpose of this dissertation is to study how market mechanisms and risk influence Kansas farmers' willingness to adopt cellulosic biofuel feedstock enterprises and conservation practices on-farm. The first essay examines farmers' willingness to grow switchgrass under contract using a stated choice approach. Data were collected using an enumerated survey of Kansas farmers and analyzed using latent class logistic regression models. Farmers whose primary enterprise is livestock are less inclined to grow switchgrass. In addition, shorter contracts, greater harvest flexibility, crop insurance, and cost-share assistance increase the likelihood farmers will grow switchgrass. The second essay examines how farmers' risk perceptions impact conservation practice adoption. Factor analysis of survey data was used to identify primary risk management behaviors of Kansas farmers. A multinomial logit model of conservation practice adoption incorporating these risk behaviors was developed. Estimation results indicate that different risk management factors may have no significant impact on practice adoption. Farmers may not consider certain aspects of risk significant in their adoption decision. The third essay examines the effect of different risk management behaviors on farmers' willingness to produce alternative cellulosic bioenergy feedstocks under contract. Data were collected using a farmer survey with a set of stated choice experiments and analyzed using factor analysis and latent class logistic regression models. While farmers approach risk management differently, the risk management behaviors identified have no significant impact on farmers' willingness to produce corn stover and switchgrass but have a negative impact on farmers' willingness to produce sweet sorghum as a biofuel feedstock. These results may indicate that farmers are indifferent toward adopting new bioenergy cropping enterprises when traditional crop production is profitable and more certain.
Download or read book Productivity Growth Convergence and Distribution Dynamics in the Kansas Farm Sector written by Amin William Mugera and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study applies recent advances in nonparametric techniques to investigate growth in labor productivity and convergence in the Kansas farm sector for a panel of 564 farms for the period 1993-2007. The study seeks to answer two questions: First, what are the sources of labor productivity growth in the farm sector and second, is there evidence of convergence or divergence in the growth rate of labor productivity across farms? Following Kumar and Russell (2002), the nonparametric production frontier approach is used to decompose the growth in output per worker into three components: efficiency change, technical change, and capital deepening. Kernel density estimation methods are used to investigate the evolution of the entire distribution of labor productivity and the effects of each of those three growth components on the evolution of the distributions over the sample periods, 1993-07, 1993-02, and 1996-05. Cross-sectional regression methods (ordinary least square, partial linear model, and smooth coefficient model) are later employed to test for convergence in labor productivity growth and the contribution of each of the components to the convergence process. The study yields the following results. First, capital deepening and technical change are the main sources of labor productivity growth. Efficiency change is a source of regress in productivity growth. Second, technical change is not neutral. Third, the distribution of labor productivity in the farm sector has remained unimodal. Capital deepening and technical change are the main factors contributing to labor productivity distributions. Fourth, despite no evidence of technological catching-up, efficiency change and capital deepening contributed to convergence in the growth rate of labor productivity during the entire sample period. Technical change contributes to productivity disparity in the 1993-07 period. The contribution of technical change in the 1993-02 and 1996-05 periods are mixed with evidence of both convergence and disparity. Finally, the results for the 1993-07 period support the existence of a positive relationship between the annual growth in technical change and initial level of capital-labor ratio, suggesting that technology is embodied in capital accumulation.
Download or read book Analysis of Factors Influencing Selection of Research Topics in the Kansas State Agricultural Experiment Station written by Karen Schwartz and published by . This book was released on 1978 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book An Examination of the Resilience of Kansas Farms written by Michael Burnett Lindbloom and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The drop in average U.S. net farm income from 2014 through 2016 has indicated that current risk management options available to farmers have not fully mitigated the risks associated with farming. Although there are more risk management tools available to farmers today than there have been in the past, there is still a need to improve upon the available options and create new ways of securing agricultural production into the future. In an effort to improve how farmers cope with risk and uncertainty, system resilience concepts have started to find applications in production agricultural research. Agricultural resilience can generally be defined as the ability of an agricultural production system to return to normal (or improved) operations after having experienced an unexpected economic or environmental shock. The contribution of this research was to conduct an empirical analysis of farm resilience based on existing theories in system and agricultural resilience. A conceptual model was developed to apply an existing resilience measure, the resilience triangle, to a production agriculture setting and a model of farm resilience was constructed based on the existing literature in agricultural resilience. In this model, farm resilience is driven by three defining capabilities: buffering capability, adaptive capability, and transformative capability. The data for this analysis was obtained from the Kansas Farm Management Association (KFMA). Based on the literature review and the conceptual framework, resilience triangle areas were computed for individual farms during two distinct periods of economic shock, 1980 and 1998. An index of farm resilience was generated from the resilience triangle areas, which were then used as dependent variables in the econometric analysis. A fractional response logit model was estimated to test hypotheses about the impact of the different resilience capabilities on overall resilience index values. The results of the analysis indicated that there are differences in the ways that buffering and adaptive capabilities impact overall farm resilience, however there were not conclusive findings that buffering capabilities were stronger among the resilient farms as compared to the non-resilient farms. These results indicate that farm resilience is driven by both buffering and adaptive capabilities jointly. Even though buffering capabilities are important at the outset of a shock, the farm will then need adaptive capabilities to recover from the initial impact of the shock.
