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	Provedor de dados AgEcon (5) Autor Adhikari, Arun (5) Fannin, James Matthew (3) Mishra, Ashok K. (2) Boen, Caroline (1) Chintawar, Sachin (1) Detre, Joshua D. (1) Keithly, Walter R., Jr. (1) Mais... Palavra-chave Community/Rural/Urban Development (2) Public Economics (2) 3sls (1) Adoption (1) Agribusiness (1) Agricultural Finance (1) Agricultural and Food Policy (1) COMPAS model (1) COMPAS modeling (1) COMPAS models (1) Farm Management (1) Fiscal effects (1) Forecasting performance (1) GM crops (1) I22 (1) Labor market (1) Labor markets (1) Oil and gas drilling (1) Panel (1) Profitability (1) Mais... Tipo do documento Conference Paper or Presentation (4) Journal Article (1) Ano 2011 (2) 2010 (2) 2009 (1) País United States (5) Idioma Inglês (5)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 5 Primeira ... 1 ... Última Incorporating State Elementary and Secondary School Funding Formulas in Community Impact Models AgEcon Adhikari, Arun; Fannin, James Matthew. Tipo: Conference Paper or Presentation Palavras-chave: COMPAS modeling; Public school finance; Labor markets; Revenue capacity; Community/Rural/Urban Development; Public Economics; I22. Ano: 2010 URL: http://purl.umn.edu/56690 Factors Affecting the Adoption of Genetically Modified Crops by Young and Beginning U.S. Farmers and Ranchers AgEcon Detre, Joshua D.; Mishra, Ashok K.; Adhikari, Arun. The comprehensive set of programs in the 2008 Farm Bill designed to support Young and Beginning Farmers and Ranchers (YBFR), combined with a substantial amount of resources allocated to each of these programs, can be viewed as an investment in ensuring the future sustainability of the U.S. agriculture system. Understanding the factors that influence YBFR to adopt technology will become increasingly important if YBFR are to succeed. Of particular interest is why YBFR adopt Bt corn, Bt cotton, and HT soybeans. Results conform to a majority of our a priori expectations; YBFRs are more likely to adopt GM crops if they are not a full owner of the farm operation, as sales of the farm operation grow, if the crop is important to their region, and as they become... Tipo: Journal Article Palavras-chave: Agricultural and Food Policy. Ano: 2010 URL: http://purl.umn.edu/96377 Adoption of Technology and Its Impact on Profitability of Young and Beginning Farmers: A Quantile Regression Approach AgEcon Adhikari, Arun; Mishra, Ashok K.; Chintawar, Sachin. Tipo: Conference Paper or Presentation Palavras-chave: Adoption; Technology; Profitability; GM crops; Quantile Regression; Agribusiness; Agricultural Finance; Farm Management. Ano: 2009 URL: http://purl.umn.edu/46830 Estimating Labor and Fiscal Impacts using Louisiana Community Impact Model: Comparing Panel Model and Three Stage Least Squares (3SLS) AgEcon Adhikari, Arun; Fannin, James Matthew. Tipo: Conference Paper or Presentation Palavras-chave: Labor market; COMPAS model; Forecasting performance; 3sls; Panel; Community/Rural/Urban Development; R1. Ano: 2011 URL: http://purl.umn.edu/103831 Measuring Fiscal Effects Based on Changes in Deepwater Off-Shore Drilling Activities AgEcon Boen, Caroline; Adhikari, Arun; Fannin, James Matthew; Keithly, Walter R., Jr.. This paper accomplishes two objectives. First, this paper estimates a model for oil wells drilled in the Gulf of Mexico using specific time series models. In the second objective, the number of wells drilled are applied to the COMPAS model for Louisiana. Wells drilled are treated as final demand in an input-output model framework to estimate exogenous changes in employment demand. This demand is then applied to a block recursive labor force module that measures changes in key labor market variables. These variables then serve as exogenous variables in revenue capacity equations. These revenue capacity variables are finally applied to local government expenditure demand equations. Per capita demand changes for key local government variables are then... Tipo: Conference Paper or Presentation Palavras-chave: Oil and gas drilling; Fiscal effects; Public expenditure demands; COMPAS models; Time series models; Public Economics; Resource /Energy Economics and Policy; Q43. Ano: 2011 URL: http://purl.umn.edu/98799 Registros recuperados: 5 Primeira ... 1 ... Última

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