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| Registros recuperados: 15 | |
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| Doyen, Luc; Thebaud, Olivier; Bene, Christopher; Martinet, V.; Gourguet, S.; Bertignac, Michel; Fifas, Spyros; Blanchard, Fabian. |
| Academia and management agencies show a growing interest for ecosystem-based fishery management (EBFM). However, the way to operationalize this approach remains challenging. The present paper illustrates how the concepts of stochastic co-viability, which accounts for dynamic complexities, uncertainties, risk and sustainability constraints, can be useful for the implementation of EBFM. In the present case, this concept is used to identify fishing strategies that satisfy both ecological conservation and economic sustainability in a multi-species, multi-fleet context. Economic Viability Analysis (EVA) and the broader Co-Viability Analysis (CVA), are proposed to expand the usual Population Viability Analysis (PVA) and precautionary approach. An illustration is... |
| Tipo: Text |
Palavras-chave: Ecosystem based fisheries management; Viability; Stochastic; Nephrops; Hake. |
| Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00074/18571/16153.pdf |
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| Chalak-Haghighi, Morteza; Pannell, David J.. |
| Weeds can cause significant problems to natural ecosystems. Although there have been numerous studies on the economics of weed control, relatively few of these studies have focused on natural ecosystems. This paper addresses this gap in the literature by assessing the cost-effectiveness of a comprehensive range of control strategies for blackberry (Rubus anglocandicans) in natural environments in Australia. We developed a stochastic dynamic simulation model and a deterministic dynamic optimisation model. The stochastic model calculates the expected net present value (NPV) of a range of control strategies, including any combination of treatment options. The optimisation model identifies the treatment combination that maximises NPV. Both models represent the... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Environment; Economics; Weed; Stochastic; Optimisation; Management; Environmental Economics and Policy. |
| Ano: 2010 |
URL: http://purl.umn.edu/58886 |
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| Gustafson, Cole R.. |
| As farms increase in size, operators often face the difficult decision of remaining loyal to local merchants or obtaining volume discounts from more distant input suppliers. When farmers bypass local merchants and buy inputs in volume from a wholesaler, they often realize a price discount but forego many services including credit forebearance. In essence, when farmers buy locally, they pay higher prices, which decreases profits and increases financial risk, but generates social capital which can be drawn upon during periods of economic adversity later in the form of credit forebearance. A theoretical model of farm financial risk evaluates borrower behavior in light of cash flow constraints, volume discounts, and social capital. Monte-carlo simulation... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Social; Capital; Financial risk; Simulation; Stochastic; Farm Management; Institutional and Behavioral Economics. |
| Ano: 2004 |
URL: http://purl.umn.edu/23677 |
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| Farrell, Matthew; Ibendahl, Gregory A.. |
| New cotton harvesters have been introduced that have higher performance rate as well as eliminate extra labor and accompanying equipment. The new machines build partial modules on board the harvester. Higher field efficiency (performance rate) lets a farmers harvest his cotton in a shorter period. Precipitation causes cotton losses in both quality and quantity of the cotton. This paper seeks to measure cost per acre when harvest days are stochastic by using historic precipitation data. Cost per acre will include the cost of losses from a loss function from precipitation. Cost per acre will be adjusted for conventional versus new technology by quantifying the losses that contribute to extra costs of extended harvesting. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Cotton; Harvester; Fieldwork days; Stochastic; Cost per acre; Agribusiness; Farm Management. |
| Ano: 2010 |
URL: http://purl.umn.edu/56507 |
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| Chalak, Morteza; Pannell, David J.. |
| Although there have been numerous studies on the economics of weed control, relatively few of these studies have focused on natural ecosystems. The aims of this papers are: A) to identify the combination of control options that is optimal for blackberry (Rubus anglocandicans) in Australian natural ecosystems, B) to assess whether an integrated control strategy is superior to chemical-only strategies, C) to evaluate the economic net benefits of specific biologically oriented control methods (a rust and grazing by goats), D) to determine how changes in model parameters affect the optimal control strategy. To address these aims, a stochastic dynamic simulation model and a stochastic dynamic programming model are developed. The results indicate that, while an... |
| Tipo: Presentation |
Palavras-chave: Environment; Economics; Weed; Stochastic; Optimisation; Management; Environmental Economics and Policy. |
| Ano: 2012 |
URL: http://purl.umn.edu/124373 |
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| Chalak, Morteza; Pannell, David J.. |
| Weeds can cause significant problems to natural ecosystems. Although there have been numerous studies on the economics of weed control, relatively few of these studies have focused on natural ecosystems. This paper addresses this gap in the literature by assessing the cost-effectiveness of a comprehensive range of control strategies for blackberry (Rubus anglocandicans) in natural environments in Australia. We developed a stochastic dynamic simulation model and a deterministic dynamic optimisation model. The stochastic model calculates the expected net present value (NPV) of a range of control strategies, including any combination of treatment options. The optimisation model identifies the treatment combination that maximises NPV. Both models represent the... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Environment; Economics; Weed; Stochastic; Optimisation; Management; Environmental Economics and Policy. |
| Ano: 2011 |
URL: http://purl.umn.edu/108416 |
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| Watkins, K. Bradley; Hristovska, Tatjana; Anders, Merle M.. |
| Irrigation fuel costs represent a significant portion of rice production expenses. Multiple inlet (MI) irrigation represents a water saving alternative to conventional flood irrigation. This study uses simulation to calculate the range of monetary benefits to MI in rice production. Water savings from MI relative to conventional flood irrigation along with rice yields, rice prices, and prices for key production inputs (diesel and fertilizer) are simulated, and stochastic rice net returns above variable and fixed expenses are calculated for different pump lifts with and without MI. Monetary benefits to MI are measured as the difference in net returns with and without MI. The results indicate MI monetary benefits depend greatly on pump lift and the presence... |
| Tipo: Presentation |
Palavras-chave: Cost; Cumulative distribution functions; Multiple inlet irrigation; Net return; Rice; Stochastic; Farm Management. |
| Ano: 2012 |
URL: http://purl.umn.edu/119655 |
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| Batabyal, Amitrajeet A.. |
| In this paper I propose and develop a new framework for modeling groundwater management issues. Specifically, I apply the methods of queuing theoryfor the first time, to the best of my knowledgeto model a groundwater management problem from a long-run perspective. I characterize two simple management regimes as two different kinds of queues and then show how to pose a manager's decision problem as an optimization problem using queuing theoretic techniques. I solve for certain fundamental quantities, such as the expected system size, and then discuss the economic meaning and relevance of the queuing concepts being used. I close by discussing possible extensions to my basic models. Published in Ecological Modelling 85 (2-3, 1996):219-27. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Groundwater; Management; Stochastic; Queuing; Theory; Resource /Energy Economics and Policy. |
| Ano: 1995 |
URL: http://purl.umn.edu/28349 |
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| Chalak, Morteza; Pannell, David J.; Polyakov, Maksym. |
| Invasive species are significant threats to biodiversity, natural ecosystems and agriculture leading to large worldwide economic and environmental damage. Spread and control of invasive species are stochastic processes with important spatial dimensions. Most economic studies of invasive species control ignore spatial and stochastic aspects. This paper covers this gap in the previous studies by analysing a spatially explicit dynamic process of controlling invasive species in a stochastic setting. We show how stochasticity, spatial location of infestation and control can influence the spread, control efficiency and optimal control strategies. The main aim of this paper is to analyse the relationship between economic parameters and stochastic spatial... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Spatial; Dynamics; Invasive; Economics; Stochastic; Optimisation; Environmental Economics and Policy. |
| Ano: 2011 |
URL: http://purl.umn.edu/103325 |
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| Wailes, Eric J.; Chavez, Eddie C.. |
| This publication contains recent baseline projections from the Arkansas Global Rice Economics Program (AGREP) for U.S. and international rice economies. These projections serve as a baseline for evaluating and comparing alternative macroeconomic, policy, weather, and technological scenarios. They are intended for use by government agencies and officials, farmers, consumers, agribusinesses and others who conduct medium-range and long-term planning. The AGREP baseline projections are grounded in a series of assumptions about the general economy, agricultural policies, weather, and technological change. It is generally assumed that current agricultural policies will be continued in the United States and other countries reported in this study. The AGREP World... |
| Tipo: Technical Report |
Palavras-chave: International rice; Baseline; Policy; Deterministic; Stochastic; Arkansas Global Rice Model; Demand and Price Analysis; Land Economics/Use; C02; F01; F14; F17; Q17; Q18; R11. |
| Ano: 2012 |
URL: http://purl.umn.edu/123203 |
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| Gustafson, Cole R.. |
| As farms increase in size, operators face the decision of remaining loyal to local merchants or obtaining volume discounts from distant input suppliers. When farmers bypass local merchants and buy inputs in volume, they often realize price discounts but forego many services including credit forebearance. When farmers buy locally, they pay higher prices, which decreases profits and increases financial risk, but generates social capital which can be drawn upon during periods of economic adversity. A theoretical model of farm financial risk evaluates borrower behavior in light of cash flow constraints, volume discounts, and social capital. Results delineate financial risks involved and value of social capital. |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Capital; Financial risk; Simulation; Social; Stochastic; Agricultural Finance. |
| Ano: 2005 |
URL: http://purl.umn.edu/19169 |
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| Registros recuperados: 15 | |
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