


Registros recuperados: 22  

 

 

 

 


Vassalos, Michael; Dillon, Carl R.; Coolong, Tim. 
This study combines whole farm economic analysis with biophysical simulation techniques in order to achieve a twofold objective. First, the study seeks to develop a multiple enterprise vegetable farm model with a production and marketing decision interface and, second, to determine optimal production practices for Kentucky vegetable growers. Three vegetable crops are examined: tomatoes, bell peppers and sweet corn. The findings indicate that the risk associated with vegetable production can be significantly mitigated with diversification of production mix and with a greater number of transplanting dates. However, this reduction in risk comes at a high cost in terms of expected net returns. 
Tipo: Presentation 
Palavraschave: Vegetable production; Meanvariance; Biophysical simulation; Farm management; Farm Management; C61; C63; D81. 
Ano: 2012 
URL: http://purl.umn.edu/120016 
 


Doole, Graeme J.; Pannell, David J.. 
Simulation models are valuable tools in the analysis of complex, highly constrained economic systems unsuitable for solution by mathematical programming. However, model size may hamper the efforts of practitioners to efficiently identify the most valuable configurations. This paper investigates the efficacy of a new metaheuristic procedure, compressed annealing, for the solution of large, constrained systems. This algorithm is used to investigate the value of incorporating a sown annual pasture, French serradella (Ornithopus sativa Brot. cv. Cadiz), between extended cropping sequences in the central wheat belt of Western Australia. Compressed annealing is shown to be a reliable means of considering constraints in complex optimisation problems in... 
Tipo: Conference Paper or Presentation 
Palavraschave: Combinatorial optimisation; Crop rotation; Simulated annealing; Research Methods/ Statistical Methods; C63; Q15. 
Ano: 2007 
URL: http://purl.umn.edu/10438 
 


Gouel, Christophe. 
This paper compares numerical methods for solving the competitive storage model. Since storage implies an inequality constraint, the solution methods must be considered carefully. The model is solved using value function iteration, and several projection approaches, including parameterised expectations and decision rules approximation. Using a penalty function approach to smooth the inequality constraint, perturbation methods are also applied. Parameterised expectations proves the most accurate method, while perturbation techniques are shown inadequate for solving this highly nonlinear model. The endogenous grid method allows rapid solution if supply is assumed to be inelastic. 
Tipo: Working or Discussion Paper 
Palavraschave: Binding constraint; Nonlinear rational expectations models; Numerical methods; Agricultural and Food Policy; C63; D84; E37. 
Ano: 2010 
URL: http://purl.umn.edu/115430 
 

 


Burnett, J. Wesley; Ferrer, Myra Clarisse R.. 
Agricultural production is highly dependent on inorganic substances including fertilizers. Highyielding crop varieties, such as corn, require large amounts of primary nutrients including nitrogen, phosphorus and potassium. Farmers often add a surplus of nutrients to crops to maximize yields. Utilization of primary nutrients has increased by more than 300% while that of nitrogen alone has increased by more than 600% between 1960 and 2007 (USDA, 2009). From 1964 to 2007, the use of nitrogen in the corn sector alone increased from 1,623,000 to 5,714,000 nutrient tons (USDA, 2009). While increasing production, increased fertilizer use can potentially create negative externalities in the form of nitratenitrogen contamination in groundwater.... 
Tipo: Working or Discussion Paper 
Palavraschave: Environmental Economics; Nitrogen/Nitrate Contamination; Dynamic Optimization; Agriculture; Agricultural and Food Policy; Demand and Price Analysis; Environmental Economics and Policy; C61; C63; Q10; Q51; Q53. 
Ano: 2010 
URL: http://purl.umn.edu/96032 
 

 

 


Graubner, Marten; Balmann, Alfons; Sexton, Richard J.. 
Agricultural markets often feature significant transport costs and spatially distributed production and processing which causes spatial imperfect competition. Spatial economics considers the firms’ decisions regarding location and spatial price strategy separately, usually on the demand side, and under restrictive assumptions. Therefore, alternative approaches are needed to explain, e.g., the location of new ethanol plants in the U.S. at peripheral as well as at central locations and the observation of different spatial price strategies in the market. We use an agentbased simulation model to analyze location and spatial pricing in a general model under multifirm competition, twodimensional space, and a continuum of potential price strategies. The... 
Tipo: Conference Paper or Presentation 
Palavraschave: Spatial competition; Location; Price discrimination; Oligopsony; Simulation; Industrial Organization; Research Methods/ Statistical Methods; C63; Q11; R32. 
Ano: 2010 
URL: http://purl.umn.edu/61225 
 

 


Dall'Asta, Luca; Pin, Paolo; Ramezanpour, Abolfazl. 
We consider any network environment in which the “best shot game” is played. This is the case where the possible actions are only two for every node (0 and 1), and the best response for a node is 1 if and only if all her neighbors play 0. A natural application of the model is one in which the action 1 is the purchase of a good, which is locally a public good, in the sense that it will be available also to neighbors. This game will typically exhibit a great multiplicity of equilibria. Imagine a social planner whose scope is to find an optimal equilibrium, i.e. one in which the number of nodes playing 1 is minimal. To find such an equilibrium is a very hard task for any nontrivial network architecture. We propose an implementable mechanism that, in the... 
Tipo: Working or Discussion Paper 
Palavraschave: Networks; Best Shot Game; Simulated Annealing; Institutional and Behavioral Economics; C61; C63; D85; H41. 
Ano: 2009 
URL: http://purl.umn.edu/50684 
 

 


Weese, Eric. 
Political coalition formation games can describe the formation and dissolution of nations, as well as the creation of coalition governments, the establishment of political parties, and other similar phenomena. These games have been studied from a theoretical perspective, but the resulting models have not been used extensively in empirical work. This paper presents a method of estimating political coalition formation models with manyplayer coalitions, and then illustrates this method by estimating structural coefficients that describe the behaviour of municipalities during a recent set of municipal mergers in Japan. The method enables counterfactual analysis, which in the Japanese case shows that the national government could increase welfare via a... 
Tipo: Working or Discussion Paper 
Palavraschave: C63; D71; H77; Political Economy; Public Economics; Computational techniques; Coalitions; Municipalities. 
Ano: 2011 
URL: http://purl.umn.edu/107268 
 

 

 


Dowell, Andrew J.; Wooldridge, Michael; McBurney, Peter. 
Qualitative coalitional games (QCG) are representations of coalitional games in which self interested agents, each with their own individual goals, group together in order to achieve a set of goals which satisfy all the agents within that group. In such a representation, it is the strategy of the agents to find the best coalition to join. Previous work into QCGs has investigated the computational complexity of determining which is the best coalition to join. We plan to expand on this work by investigating the computational complexity of computing agent power in QCGs as well as by showing that insincere strategies, particularly bribery, are possible when the envyfreeness assumption is removed but that it is computationally difficult to identify the best... 
Tipo: Working or Discussion Paper 
Palavraschave: Bribery; Coalition Formation; Computational Complexity; Marketing; C63; C78. 
Ano: 2007 
URL: http://purl.umn.edu/7444 
 
Registros recuperados: 22  


