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	Provedor de dados AgEcon (4) Autor Bergstrom, John C. (3) Mullen, Jeffrey D. (3) Ngugi, Daniel (3) Colyer, Dale (1) Palavra-chave Structural time series (4) Benefit transfer (3) Economic value (3) Ecosystem (3) Environmental Economics and Policy (3) Land Economics/Use (3) Land use (3) North Georgia (3) Water quality (3) Forecasting (2) Q51 (2) Q53 (2) Q57 (2) Fish (1) Forecasting. (1) International Development (1) International trade (1) Land use change (1) R14 (1) Turkey exports (1) Mais... Tipo do documento Conference Paper or Presentation (4) Ano 2009 (2) 2008 (1) 2000 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última Land Use Change and Ecosystem Valuation in North Georgia AgEcon Ngugi, Daniel; Mullen, Jeffrey D.; Bergstrom, John C.. This study seeks to forecast land use change in a North Georgia ecosystem, and estimate the economic value of the ecosystem using benefit transfer techniques. We forecast land use change based on a structural time series model and a simple growth rate model. The study suggests a lower bound willingness to pay value of about USD 16,000 per year to ensure compliance with fishing and drinking water quality standards with regard to fecal coliform bacteria and dissolved oxygen. Conservation efforts are likely to cost less than the cost of defensive behavior or ecosystem restoration. Tipo: Conference Paper or Presentation Palavras-chave: Ecosystem; Economic value; North Georgia; Land use; Water quality; Structural time series; Benefit transfer; Forecasting.; Environmental Economics and Policy; Land Economics/Use; Q51; Q53; Q57. Ano: 2009 URL: http://purl.umn.edu/46853 Land Use Change, Benefit Transfer and Ecosystem Valuation in North Georgia AgEcon Ngugi, Daniel; Mullen, Jeffrey D.; Bergstrom, John C.. This study seeks to forecast land use change in a North Georgia ecosystem, and estimate the economic value of the ecosystem using benefit transfer techniques. We forecast land use change based on a structural time series model and a simple growth rate model. The study suggests a lower bound willingness to pay value of about USD 16,000 per year to ensure compliance with fishing and drinking water quality standards with regard to fecal coliform bacteria and dissolved oxygen. Conservation efforts are likely to cost less than the cost of defensive behavior or ecosystem restoration. Tipo: Conference Paper or Presentation Palavras-chave: Ecosystem; Economic value; North Georgia; Land use; Water quality; Structural time series; Benefit transfer; Forecasting; Environmental Economics and Policy; Land Economics/Use; Q51; Q53; Q57; R14. Ano: 2009 URL: http://purl.umn.edu/47110 Land Use Change and Ecosystem Valuation in North Georgia AgEcon Ngugi, Daniel; Mullen, Jeffrey D.; Bergstrom, John C.. A model of land allocation at the aggregate watershed level was developed assuming profit/net benefit maximization under risk neutrality. The econometric land use model was analyzed as an equation by equation SURE model as all the independent variables were the same for both equations. In analyzing effect of land use change on water quality, we took year 2005 as our baseline and postulated three land use scenarios. We applied Benefit Transfer techniques to value water quality changes resulting from land use change and estimated lower bounds for WTP to improve water quality to meet the FCB criterion for drinking water supply and fishing waters and BOD (DO) criteria for fishing waters. Water quality modeling revealed that land use change would result in... Tipo: Conference Paper or Presentation Palavras-chave: Ecosystem; Economic value; North Georgia; Land use; Land use change; Fish; Water quality; Structural time series; Willingness to pay; Benefit transfer; Forecasting; Vector autoregression; Upper Chattahoochee River; Environmental Economics and Policy; Land Economics/Use. Ano: 2008 URL: http://purl.umn.edu/6119 A COMPARISON OF ANNUAL, QUARTERLY AND MONTHLY TURKEY EXPORT MODELS AgEcon Colyer, Dale. Structural time series models of turkey exports were estimated using monthly, quarterly and annual data. The trend is statistically significant in all three models, seasonals are significant in the quarterly and monthly models. Exchange rates, lagged prices, and lagged production were explanatory factors in the monthly model; exchange rates and prices in the quarterly model; but only the exchange rates in the annual model. Tipo: Conference Paper or Presentation Palavras-chave: Turkey exports; International trade; Structural time series; International Development. Ano: 2000 URL: http://purl.umn.edu/19106 Registros recuperados: 4 Primeira ... 1 ... Última

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