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Cho J.,Korea Rural Economic Institute | Cho J.,Cornell University | Tauer L.W.,Cornell University | Schukken Y.H.,Cornell University | And 3 more authors.
Canadian Journal of Agricultural Economics | Year: 2013

Johne's disease (JD), or paratuberculosis, is an incurable and infectious disease of ruminants, caused by infection with Mycobacterium avium ssp. paratuberculosis (MAP), and costing an estimated CAD$15 million in Canada and US$200-$250 million in the United States. This study examines the economic and epidemiological consequences of various MAP control options in the context of controlling JD in dairy herds. A discrete optimal control model is developed utilizing the disease-specific animal compartment model and maximizing the net present value of a dairy operation. The results identify the optimal control option together with the associated herd dynamics and optimal culling rates of cows in different infection states. The results show that comprehensive, effective, and profitable JD control programs can be developed for dairy farms. La maladie de Johne, ou paratuberculose, est une maladie contagieuse incurable des ruminants causée par la bactérie Mycobacterium avium ssp. paratuberculosis (MAP), qui entrai{dotless}̂ne des coûts de près 15 millions de dollars au Canada et de 200 millions á 250 millions de dollars aux États-Unis. La présente étude examine les répercussions économiques et épidémiologiques de divers moyens utilisés pour contrôler la bactérie MAP afin de mai{dotless}̂triser la maladie de Johne dans les troupeaux laitiers. Nous avons mis au point un modèle de contrôle optimal discret en utilisant le modèle compartimental spécifique á la maladie et en maximisant la valeur actualisée nette (VAN) d'une exploitation laitière. Les résultats déterminent l'option de contrôle optimal associée au fonctionnement dynamique du troupeau et aux taux de réforme optimal des vaches selon divers stades de la maladie. Les résultats indiquent qu'il est possible d'élaborer des programmes très complets, efficaces et rentables pour mai{dotless}̂triser la maladie de Johne dans les troupeaux laitiers. © 2012 Canadian Agricultural Economics Society. Source


Han J.H.,Korea Rural Economic Institute | Ahn B.-I.,Korea University
Agricultural Economics (Czech Republic) | Year: 2015

In order to derive the evidence of the asymmetric price transmission, we employed the threshold estimation for the price relationship between the imported wheat and the wheat flour prices. We estimated the exact level of threshold points of the imported wheat price that have different impacts on the Korean wheat flour price. Our empirical estimations proved the main hypothesis of this study, namely, that the impact of input price on output price is stronger at higher levels of the input price. In the sub-sample, which includes data from January 1993 to January 2008, the price transmission effect from the imported wheat to the domestic wheat flour in the Regime 3, in which wheat prices are the highest among our three regimes, is larger than that in the Regime 2. In the whole sample, which includes data from January 1993 to March 2014, the price transmission effect in the Regime 3 is larger than that in the Regime 2, and that of the Regime 2 is larger than that of the Regime 1. © 2015, Agricultural Economics. All rights reserved. Source


Lee J.Y.,Kansas State University | Han D.B.,Korea University | Nayga Jr. R.M.,Korea University | Nayga Jr. R.M.,University of Arkansas | Yoon J.M.,Korea Rural Economic Institute
China Agricultural Economic Review | Year: 2014

Purpose - The purpose of this paper is to assess Korean consumers' valuation for domestic rice and imported rice from China and the USA. Design/methodology/approach - In order to identify Korean consumers' willingness to pay (WTP) for domestic, Chinese, and US rice, the non-hypothetical experimental auction approach (i.e. the random nth price auction) was utilized. Auction participants were randomly assigned to three treatments: no labelling information, country of origin labelling information, and food miles labelling information to analyze the effects of differing labelling information on consumers' valuation. Findings - The results suggest that Korean consumers have a positive perception of and preference for domestic rice, particularly when country of origin information is provided. However, food miles information alone may not help consumers to distinguish between domestic and Chinese rice. Originality/value - The marketing of imported rice will increase since Korea will be opening its rice market under tariffication after 2015. Therefore, it is necessary for Korea and other exporting countries to identify the feasibility of marketing both domestic and imported rice, and also to investigate which rice from specific countries Korean consumers prefer. Therefore, the authors conducted the random nth price auction using real rice products and cash in transactions. Copyright © 2014 Emerald Group Publishing Limited. All rights reserved. Source


Lee J.Y.,Korea Rural Economic Institute | Han D.B.,Korea University | Nayga R.M.,University of Arkansas | Lim S.S.,Korea University
Australian Journal of Agricultural and Resource Economics | Year: 2011

The major objective of this study is to estimate Korean food shoppers' willingness to pay (WTP) for imported beef with traceability. We use an experimental elicitation method, the random nth price auction, to identify consumers' valuation for traceable imported beef. We also analyse the effect of different types of information on these valuations. Results indicate that consumers are generally willing to pay a 39 per cent premium for the traceable imported beef over similar beef without traceability. Results also suggest that in contrast to the insignificant effect of positive information, negative and two-sided information about traceability significantly reduces WTP. © 2011 The Authors. AJARE © 2011 Australian Agricultural and Resource Economics Society Inc. and Blackwell Publishing Asia Pty Ltd. Source


Lee B.-H.,Korea Rural Economic Institute | Lee B.-H.,Oklahoma State University | Kenkel P.,Oklahoma State University | Brorsen B.W.,Oklahoma State University
Agricultural and Forest Meteorology | Year: 2013

County wheat yield and wheat quality are forecast using weather information. Regression models are estimated to account for the effect of weather on county wheat yield, protein, and test weight. The explanatory variables include precipitation and temperature for growing periods that correspond to biological wheat development stages. Wheat yield, protein, and test weight are strongly influenced by weather. The forecasting power of the yield and protein models is enhanced by adding a spatial lag effect. Out of sample forecasting tests confirm the models' usefulness in predicting wheat yield and wheat quality. © 2012 Elsevier B.V. Source

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