An Analysis of Factors Associated with Net Farm Income of Farmers in Southeast Kansas PDF Download

Author: Mohammad Waliullah
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Category : Farm income
Languages : en
Pages : 146

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Author: Paul Wilson Griffith
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Category : Farm income
Languages : en
Pages : 106

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Author: T. A. Lamke
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Category : Dissertations, Academic
Languages : en
Pages : 248

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Author: Mario A. Villatoro Sanchez
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Category :
Languages : en
Pages : 202

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Author:
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Category : Dissertations, Academic
Languages : en
Pages : 72

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Author: Cooper H. Morris (Jr.)
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Category :
Languages : en
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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.

Author: Kansas Agricultural Experiment Station
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Category : Agriculture
Languages : en
Pages : 70

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No. 7- are also published with the Second- annual report of the experiment station 1889-

Author: Heather N. Gibson
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Category :
Languages : en
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Land value research has been conducted over many decades with efforts being focused on a broad spectrum of topics encompassing many different issues. The research in this thesis will focus on understanding the relationship between net farm income, cash rent, and land value. This research could provide insight and direction in determining future land value behavior. Understanding land prices is important to many different segments of the agricultural industry. Those involved in the industry want to know where land values are going and what the future looks like. Although certain segments may not be directly affected by land value movements, if value decreases the environment of the agriculture industry is changed. Farmers and ranchers are interested in future land values as they make purchase and sale decisions or as they consider future growth of their operation. Agribusinesses understand the affect a decrease in land value would do to farmer's decisions regarding capital purchases. Additionally, agriculture finance institutions are interested in the future movement of land value as they are concerned about the affects adverse movements in land value would have on their customer's balance sheet and ultimately their collateral position. In this paper the relationship between land value and cash rent; where land value is a function of historical cash rent and cash rent is a function of net returns to the land will be tested for its' existence in Kansas. Data were collected for the nine crop reporting districts in Kansas from 1973 through 2012.

Author: Brady Brewer
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Category :
Languages : en
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The objectives of this thesis are to examine the banking strategy of Kansas farmers and to analyze the determinants of lender choice among Kansas farmers. To meet these objectives, econometric analysis was used to examine the financial characteristics of the farm that affect the number of banking relationships and the probability a farmer has a loan with a respective lender. The financial characteristics include variables representing the solvency, liquidity, and profitability of the farm. To analyze banking strategy, a poisson model was estimated to determine how the financial characteristics of the farm affect the number of banking relationships used by the farmer. The solvency, liquidity, and profitability of a farmer was analyzed to examine how these measures affect how many banking relationships the respective farmer has. Additionally, a panel data fixed effects model was used to analyze how the number of banking relationships affects the net farm income of the farm. To analyze the determinants of lender choice for Kansas farmers, six probit models were used to determine how farm and financial characteristics, including dollar amount of inventory for certain assets and dollar amount of loans, affect the probabililty the farmer has a loan with the respective lender. A Heckman selection model was used to further analyze the dollar amount of loans a farmer has with a respective lender using information from the probit models. Results of the study show that the higher the debt to asset ratio the farmer has, the more banking relationships the respective farmer has. It was also found that the amount of inventory for certain asset classifications, dollar amount loans, and the financial characteristics affect the lender the farmer chooses to use.

Author: Harold Dean Knewtson
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 106

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