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	Provedor de dados AgEcon (7) Autor Pandit, Mahesh (7) Paudel, Krishna P. (7) Dunn, Michael A. (3) Mishra, Ashok K. (3) Poudel, Biswo N. (2) Segarra, Eduardo (2) Amatya, Vinaya (1) English, Burton C. (1) Kotsiri, Sofia (1) Lambert, Dayton M. (1) Larkin, Sherry L. (1) Larson, James A. (1) Rejesus, Roderick M. (1) Roberts, Roland K. (1) Velandia, Margarita M. (1) Mais... Palavra-chave Research Methods/ Statistical Methods (3) Crop Production/Industries (2) FST (2) Farm Management (2) Q16 (2) Research and Development/Tech Change/Emerging Technologies (2) Spectral analysis (2) Agricultural Finance (1) C25 (1) C35 (1) C65 (1) Clubs (1) Cluster analysis (1) Complete and Partial ranked data (1) Consumer/Household Economics (1) Cotton (1) Multinomial logit (1) Precision agriculture (1) Precision technologies (1) Productivity Analysis (1) Mais... Tipo do documento Conference Paper or Presentation (7) Ano 2011 (5) 2010 (1) 2009 (1) País United States (7) Idioma Inglês (7)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 7 Primeira ... 1 ... Última Test of Convergence in Agricultural Factor Productivity: A Semiparametric Approach AgEcon Paudel, Krishna P.; Pandit, Mahesh; Poudel, Biswo N.. We tested for club convergence in U.S. agricultural total factory productivity using a sigma convergence test. We used the same club of states as used by McCunn and Huffman as well as different states within 10 clubs identified by the cluster analysis. Results showed convergence was evident only in a few club groups. Clusters group identified using a statistical method identified only converging clubs. Variables affecting total factor productivity among states were identified using parametric, semiparametric and nonparametric methods. Semiparametric and nonparametric methods gave a better fit than a parametric method as indicated by the specification test. Our results indicated that health care expenditure, public research and extension investment, and... Tipo: Conference Paper or Presentation Palavras-chave: Clubs; Sigma convergence; Cluster analysis; Semiparametric and nonparametric methods; Productivity Analysis; Research Methods/ Statistical Methods. Ano: 2011 URL: http://purl.umn.edu/104025 A Mixture of Experts Model to Explain Households' Choice Patterns for Termite Control Options in Louisiana AgEcon Paudel, Krishna P.; Pandit, Mahesh; Dunn, Michael A.; Amatya, Vinaya. Tipo: Conference Paper or Presentation Palavras-chave: Consumer/Household Economics. Ano: 2011 URL: http://purl.umn.edu/103874 An Analysis of Rank Ordered Data AgEcon Paudel, Krishna P.; Poudel, Biswo N.; Dunn, Michael A.; Pandit, Mahesh. Many methods are available to analyze rank ordered data. We used a spectral density method to analyze Formosan subterranean termite control options ranked by Louisiana homeowners. Respondents are asked to rank termite control options from the most preferred to the least preferred option. Spectral analysis results indicated that the most preferred termite control choice is a relatively cheap ($0.13 per square foot) option of liquid treatment. Tipo: Conference Paper or Presentation Palavras-chave: FST; Rank ordered data; Spectral analysis; Research Methods/ Statistical Methods. Ano: 2009 URL: http://purl.umn.edu/49518 Analysis of ranked ordered data when there are complete and partial ranking AgEcon Pandit, Mahesh; Paudel, Krishna P.; Dunn, Michael A.. Many methods are available to analyze rank ordered data. We used a spectral density analysis to identify most preferred options of Formosan Subterranean Termites (FST) control as ranked by Louisiana homeowners. Respondents are asked to rank four termite control methods form the most preferred option to the least preferred option. Spectral analysis of both complete and partial ranked data indicates that the most preferred termite control choice is a relatively cheap ($0.13 per square foot) option of a Liquid treatment. Tipo: Conference Paper or Presentation Palavras-chave: Complete and Partial ranked data; FST; Spectral analysis; Research Methods/ Statistical Methods; C65. Ano: 2010 URL: http://purl.umn.edu/56430 Why Don't Farmers Adopt Precision Farming Technologies in Cotton Production? AgEcon Paudel, Krishna P.; Pandit, Mahesh; Mishra, Ashok K.; Segarra, Eduardo. We used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S. states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to understand why farmers do not adopt seemingly profitable precision farming technology. Farmers provided cost, time constraint, satisfaction with the current practice and other as reasons for not adopting precision farming technology. Results from a multinomial logit regression model indicated that manure application on field, more formal education, larger farm size, participation in conservation easement or agricultural easement generally decreases the probability of nonadoption of precision agriculture in cotton... Tipo: Conference Paper or Presentation Palavras-chave: Precision agriculture; Technology adoption; Multinomial logit; Crop Production/Industries; Farm Management; Research and Development/Tech Change/Emerging Technologies; C25; Q16. Ano: 2011 URL: http://purl.umn.edu/104828 Reasons for Adopting Precision Farming: A Case Study of U.S. Cotton Farmers AgEcon Pandit, Mahesh; Mishra, Ashok K.; Paudel, Krishna P.; Larkin, Sherry L.; Rejesus, Roderick M.; Lambert, Dayton M.; English, Burton C.; Larson, James A.; Velandia, Margarita M.; Roberts, Roland K.; Kotsiri, Sofia. We used survey data collected from cotton farmers in 12 southern U.S. states to identify factors influencing cotton farmers’ decisions to adopt precision farming. Using a seemingly unrelated ordered probit model, we found that younger, educated and computer literate farmers chose precision farming for profit reason. Farmers who perceived precision farming to be profitable adopt it to be at the forefront of agricultural technology. We also found that farmers who were concerned with environment emphasize precision farming adoption as a reason to improve environmental quality. Our results also indicate that farmers in coastal states such as Alabama, Mississippi, and North Carolina chose environmental benefits as a reason for precision farming technology... Tipo: Conference Paper or Presentation Palavras-chave: Precision technologies; Seemingly unrelated ordered probit; Cotton; Agricultural Finance; Farm Management; Q16; C35. Ano: 2011 URL: http://purl.umn.edu/98575 Precision Farming Technology Adoption in Cotton Farming: Duration Analysis AgEcon Pandit, Mahesh; Paudel, Krishna P.; Mishra, Ashok K.; Segarra, Eduardo. We used survey data collected from cotton producers in eleven U.S. states to address the issues of correlated events and individual heterogeneity in multiple precision technologies adoption. Results from a conditional frailty model indicated that younger, better educated cotton producer adopted precision technology quickly once those technologies were available. Further, farm size and farm income have positive influence on a chance of technology adoption by the cotton farmers. Moreover, the conditional frailty model addresses for both heterogeneity and event dependence allowing different baseline hazards for each group of precision technology adopters. Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies. Ano: 2011 URL: http://purl.umn.edu/103849 Registros recuperados: 7 Primeira ... 1 ... Última

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