49,237 research outputs found

    Participation in the Conservation Reserve Program and Off-Farm Work: Implications for Farm and Farm Household Productivity

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    Using a national survey of U.S farm households, we investigate the interrelationship between participation in the Conservation Reserve Program (CRP) and the decision to work off the farm. We go on examine the effects of these two decisions on farm and farm household efficiency and productivity by estimating stochastic frontier productions for farm output and multiple output-orientated distance functions that consider income from agricultural sales, the CRP and off-farm work as outputs of the farm household. We control for the effects of self selection in estimating both the frontier production and distance functions. It appears that operators' decisions to work off the farm have led to significant improvements in household resource allocation between farm and other productive activities by farm households -- leading to high technical efficiency for both farm and farm household activities. In contract, participation in the CRP alone leads to the reduction of the technical efficiency and productivity on farm as well as on combined household activities.Farm Management,

    From research to farm : ex ante evaluation of strategic deworming in pig finishing

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    This paper upgrades generic and partial information from parasitological research for farm-specific decision support, using two methods from managerial sciences: partial budgeting and frontier analysis. The analysis focuses on strategic deworming in pig finishing and assesses both effects on economic performance and nutrient efficiency. The application of partial budgeting and frontier analysis is based on a production-theoretical system analysis which is necessary to integrate parasitological research results to assess aggregate economic and environmental impacts. Results show that both statistically significant and insignificant parasitological research results have to be taken into account. Partial budgeting and frontier analysis appear to be complementary methods: partial budgeting yields more discriminatory and communicative results, while frontier methods provide additional diagnostics through exploring optimization possibilities and economic-environmental trade-offs. Strategic deworming results in a win-win effect on economic and environmental performances. Gross margin increases with 3 to 12 € per average present finisher per year, depending on the cyclic pig price conditions. The impact on the nutrient balance ranges from +0.2 to –0.5 kg nitrogen per average present finisher per year. The observed efficiency improvements are mainly technical and further economic and environmental optimizations can be achieved through input re-allocation. A user-friendly spreadsheet is provided to translate the generic experimental information to farm-specific conditions

    Eco-efficient supply chain networks: Development of a design framework and application to a real case study

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    © 2015 Taylor & Francis. This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify 'eco-efficient' configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprüngli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains

    An Approach to Ecosystem-Based Fishery Management

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    Marine scientists and policymakers are encouraging ecosystem-based fishery management (EBFM), but there is limited guidance on how to operationalize the concept. We adapt financial portfolio theory as a method for EBFM that accounts for species interdependencies, uncertainty, and sustainability constraints. Illustrating our method with routinely collected data available from the Chesapeake Bay, we demonstrate the gains from taking into account species variances and covariances in setting species total allowable catches. We find over the period from 1962–2003 that managers could have increased the revenues from fishing and reduced the variance by employing ecosystem frontiers in setting catch levels.ecosystem-based fishery management, portfolio, trophic modeling, precaution

    Abstracts of Selected Papers, NAREA Annual Meetings, Burlington, Vermont, June 7-10, 2009

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    Agribusiness, Agricultural and Food Policy, Agricultural Finance, Community/Rural/Urban Development, Consumer/Household Economics, Crop Production/Industries, Demand and Price Analysis, Environmental Economics and Policy, Farm Management, Financial Economics, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, Health Economics and Policy, Industrial Organization, Institutional and Behavioral Economics, International Development, International Relations/Trade, Labor and Human Capital, Land Economics/Use, Livestock Production/Industries, Marketing, Political Economy, Production Economics, Productivity Analysis, Public Economics, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy, Risk and Uncertainty, Teaching/Communication/Extension/Profession,

    An Examination of the Productivity of Irish Agriculture in a Decoupled Policy Environment

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    End of project reportThe Single Farm Payment (SFP) scheme came into effect in the EU from the first of January 2005. This scheme replaced the many ‘coupled’ livestock and arable aid schemes available to farmers and was heralded as a significant move towards decoupling. This thesis explores the initial effects of this policy on total factor productivity (TFP) and its components (technical efficiency change, technical change, and scale efficiency change) in the main farming sectors in Ireland

    Nonparametric approach to evaluation of economic and social development in the EU28 member states by DEA efficiency

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    Data envelopment analysis (DEA) methodology is used in this study for a comparison of the dynamic efficiency of European countries over the last decade. Moreover, efficiency analysis is used to determine where resources are distributed efficiently and/or were used efficiently/inefficiently under factors of competitiveness extracted from factor analysis. DEA measures numerical grades of the efficiency of economic processes within evaluated countries and, therefore, it becomes a suitable tool for setting an efficient/inefficient position of each country. Most importantly, the DEA technique is applied to all (28) European Union (EU) countries to evaluate their technical and technological efficiency within the selected factors of competitiveness based on country competitiveness index in the 2000-2017 reference period. The main aim of the paper is to measure efficiency changes over the reference period and to analyze the level of productivity in individual countries based on the Malmquist productivity index (MPI). Empirical results confirm significant disparities among European countries and selected periods 2000-2007, 2008-2011, and 2012-2017. Finally, the study offers a comprehensive comparison and discussion of results obtained by MPI that indicate the EU countries in which policy-making authorities should aim to stimulate national development and provide more quality of life to the EU citizens.Web of Science122art. no. 7

    Robust optimization in simulation: Taguchi and response surface methodology

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    Optimization of simulated systems is tackled by many methods, but most methods assume known environments. This article, however, develops a `robust' methodology for uncertain environments. This methodology uses Taguchi's view of the uncertain world, but replaces his statistical techniques by Response Surface Methodology (RSM). George Box originated RSM, and Douglas Montgomery recently extended RSM to robust optimization of real (non-simulated) systems. We combine Taguchi's view with RSM for simulated systems. We illustrate the resulting methodology through classic Economic Order Quantity (EOQ) inventory models, which demonstrate that robust optimization may require order quantities that differ from the classic EOQ
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