975 resultados para agricultural economics


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Description based on: Vol. 1, issue 2 (spring '88); title from cover.

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At head of title, Nov. 1912-Dec. 1922: International Institute of Agriculture. Bureau of Economic and Social Intelligence.

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Includes bibliographical references and index.

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Preface.--Joekel, S.L. The crop mortgage system in Texas.--Haney, L.H. The need and possibility of coöperative rural credity in Texas.--Trenckmann, W. Cop̈erative agricultural credit.--Lamaster, C.E. Coöperative production by farmers.--Wythe, George. Coöperative marketing of fruit, truck and cotton, chiefly in Texas.--Voorhies, H.L. Farmers' educational and coöperative union in Texas.--Leonard, W.E. Seasonal industries and their labor supplies in Texas.--Leftwich, S.M. The farm labor problem.--Griffin, M.H. A study in highway administration with special reference to Texas needs.--Vaughan, F.L. Railway rates and services as affecting the Texas farmer.--Randolph, Ralph. The theory and practice of speculation on produce exchanges.--Donaldson, W.T. Farm tenure in Texas.--Dailey, B.E. Our system of taxation and its effect on the farmer.--Index.

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"Due to increases in reproduction and shipping costs paper copies of the Staff Paper Series are no longer distributed. AAE Staff Papers, along with other departmental publications, are available on the Dept.'s website at http://www.aae.wisc.edu/pubs/sps/. Staff papers are also available on-line through AgEcon Search at: http://agecon.lib.umn.edu"--info taken from letter from Taylor-Hibbard Library on 6/13/2003.

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Allocations of research funds across programs are often made for efficiency reasons. Social science research is shown to have small, lagged but significant effects on U.S. agricultural efficiency when public agricultural R&D and extension are simultaneously taken into account. Farm management and marketing research variables are used to explain variations in estimates of allocative and technical efficiency using a Bayesian approach that incorporates stylized facts concerning lagged research impacts in a way that is less restrictive than popular polynomial distributed lags. Results are reported in terms of means and standard deviations of estimated probability distributions of parameters and long-run total multipliers. Extension is estimated to have a greater impact on both allocative and technical efficiency than either R&D or social science research.