533 research outputs found

    Theme Overview: The Changing Nature of Agricultural Water Allocation

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    Resource /Energy Economics and Policy,

    MULTIPERIOD OPTIMIZATION: DYNAMIC PROGRAMMING VS. OPTIMAL CONTROL: DISCUSSION

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    Research Methods/ Statistical Methods,

    DROUGHT, STRIFE, AND INSTITUTIONAL CHANGE

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    Institutional and Behavioral Economics, Risk and Uncertainty,

    Species Conservation on a Working Landscape: The Joint Production of Wildlife and Crops in the Yolo Bypass Floodplain

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    Replaced with revised version of paper 07/19/11.Crop Production/Industries, Resource /Energy Economics and Policy,

    Income Distributional Effects of Using Market-Based Instruments for Managing Common Property Resources

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    In the face of growing management problems and conflicts over increasing demands and dwindling or increasingly variable supplies of surface and groundwater, the need for revising the conventional water resource allocation methods has been increasingly felt among natural resource managers and policy makers. For the past 30 years economists have advocated for the application of various types of market-based instruments (MBIs) as an efficient means of effecting the re-allocation water resources among competing uses. While MBIs have been implemented in several countries, they have continued to encounter strong socio-political opposition, due to the impacts imposed on third-parties during transfers and re-allocations, as well as the distributional effects across different types of water users. Despite the demonstrable efficiency gains of MBIs, the resulting equity or distributional effects of MBI-driven re-allocations can be of equal or greater importance to policy-makers and the constituents that they serve. At the same time, the realized gains in economic efficiency from the application of MBIs depend heavily on the heterogeneity of the agents they are targeted towards, as well as the degree of information asymmetry that the regulator faces. In this paper, we use a simple theoretical framework to show the trade-offs between efficiency and equity that might arise from the application of MBIs to a heterogenous population of agents drawing non-cooperatively from a natural resource pool. Using the idealized centralized planner as a benchmark of dynamic, allocative efficiency, we compare the realized efficiency gains that can be realized by alternative policy instruments and the resulting impacts on distributional equity, in terms of the cumulative net benefits over time. Using the specific example of groundwater and the empirical setting of Southern California, we are able to highlight the trade-offs between efficiency and equity that might exist among alternative policy instruments, and how MBIs perform with respect to those dual criteria. We find that under agent heterogeneity, there are asymmetric gains in efficiency when the centralized planner allocations are constrained by equity considerations. Through such results, this paper demonstrates the importance of considering both efficiency gains and the minimization of disparities in distributional inequity, when designing policy instruments that create winners and losers with potentially serious socio-political ramifications.Resource /Energy Economics and Policy,

    Spatial Disaggregation of Agricultural Production Data

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    In this paper we develop a dynamic data-consistent way for estimating agricultural land use choices at a disaggregate level (district-level), using more aggregate data (regional-level). The disaggregation procedure requires two steps. The first step consists in specifying and estimating a dynamic model of land use at the regional level. In the second step, we disaggregate outcomes of the aggregate model using maximum entropy (ME). The ME disaggregation procedure is applied to a sample of California data. The sample includes 6 districts located in Central Valley and 8 possible crops, namely: Alfalfa, Cotton, Field, Grain, Melons, Tomatoes, Vegetables and Subtropical. The disaggregation procedure enables the recovery of land use at the district-level with an out-sample prediction error of 16%. This result shows that the micro behavior, inferred from aggregate data with our disaggregation approach, seems to be consistent with observed behavior.Disaggregation, Bayesian method, Maximum entropy, Land use, Production Economics, C11, C44, Q12,

    RECONSTRUCTING DISAGGREGATE PRODUCTION FUNCTIONS

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    This paper demonstrates a method for reconstructing flexible form production functions using minimal disaggregated data sets. The policy focus of our approach puts emphasis on the ability of the model to reproduce the existing production system and predict the disaggregate outcomes of policy changes. We combine Positive Mathematical Programming (PMP) with Generalized Maximum Entropy (GME) estimation to capture the individual heterogeneity of the local production environment, and allow the reconstructed production function to precisely replicate the input usage and outputs produced in the base year. Since we can generate demand, supply and substitution elasticities from the reconstructed model we can represent a wide range of policy responses. The empirical application used in this paper is a production model of California's irrigated crop sector that was constructed to measure the economic effect of environmental policy changes to irrigation water supplies, as part of a joint State and Federal program termed CalFed. We demonstrate that the disaggregate regional models give greater predictive precision, when compared with the model reconstructed on the aggregate data, and that they show a significant variation in the calculated regional elasticities of input demand and output response. From this, we conclude that any gains from aggregation - namely the reduction of small sample bias of the parameter estimates - would be swamped by the distortion of production response to policy changes, given the heterogeneity of the regions and the resultant bias.Production Economics,

    THE COST OF THE KYOTO PROTOCOL TO U.S. CROP PRODUCTION: MEASURING CROP PRICE, REGIONAL ACREAGE, WELFARE, AND INPUT SUBSTITUTION EFFECTS

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    This study analyzes the impact of implementing carbon permit trading considered under the Kyoto Protocol, and the subsequent expected increase in energy and resource prices on U.S. crop production. The focus is on input substitution, net farm income, regional crop acreage, and crop prices. The analysis is carried out with a calibrated mathematical programming model which covers the major crops produced in the 48 contiguous states on a regional basis. The model accounts for both the variable inputs and the allocatable inputs of land and irrigation water, and it permits input substitution when farmers are faced with external shocks. The results suggest that when energy prices increase, the net cost to the crop-producing sector depends on the farmerÂ’'s ability to substitute crop inputs and the elasticity of demand for the crops. The impacts of carbon tax cost increases differ significantly among crops and regions. Overall, crop acreage and output decrease, total net revenues increase in most regions, and consumer surplus declines.Environmental Economics and Policy,

    Richard Howitt – measuring business respect for human rights: how do we promote legitimacy?

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    This post was contributed by Richard Howitt MEP, European Parliament Rapporteur on Corporate Social Responsibility Business has moved a long way from saying human rights are for governments not for them, to a position today where the United Nations Guiding Principles (UNGPs) are almost universally supported and the debate is now a detailed one about implementation
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