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Article information:To cite this document: Joleen C. Hadrich Frayne Olson, (2011),"Joint measurement of farm size and farm performance: a confirmatory factor analysis", Agricultural Finance Review, Vol. 71 Iss 3 pp. 295 -309 Permanent link to this document: http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -The purpose of this paper is to determine if a single dominant measure defines farm size and farm performance consistently over a ten-year time period, or if alternative measures are needed. The paper also seeks to determine the correlation between farm size and farm performance and how this correlation may change over time. Design/methodology/approach -A confirmatory factor analysis was used to test the relative strength of farm size and performance indicator variables and estimate the relationship between farm size and performance latent variables. Data were collected from the North Dakota Farm and Ranch Business Management Association (NDFRBA) Annual Summaries for 2000-2009. Findings -Results demonstrated that a single indicator, such as acres or rate of return on assets, may not capture the array of farm size and farm performance concepts and multiple indicators should be used to jointly determine farm size and farm performance measures. Results also found a sequential decrease in correlation between farm size and performance for seven of the ten years. Originality/value -This paper addresses the issue regarding multiple measures for farm size and farm performance which helps provide the framework to begin developing a systematic classification of farms for use in strategic farm planning and guide future government policies, federal farm programs, and environmental regulations.

Purpose -The purposes of this paper are to determine the financial, structural, and tax policy factors that influence the probability of buying machinery and the intensity of the machinery purchases on North Dakota farming operations. Design/methodology/approach -A double hurdle model was used to estimate the two decisions: purchasing machinery and the intensity of the machinery purchase. Data were collected from the North Dakota Farm and Ranch Management Business Association Annual Summaries for 1993-2011. Findings -Results demonstrated that the tax incentive provided by Section 179 deduction had the largest positive effect on machinery purchases when compared to operating profit margin, leverage ratio, producer type, and experience of the principal operator of the farm. Originality/value -Section 179 deductions have changed substantially over the 19-year period studied and have not been analyzed in previous machinery investment work. This analysis puts a numerical value on the effect of Section 179 deductions over time and demonstrates the large effect tax incentives have on machinery purchase decisions and levels.

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