The Experts below are selected from a list of 99 Experts worldwide ranked by ideXlab platform
Martin Stuart - One of the best experts on this subject based on the ideXlab platform.
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RESEARCH ON RISK MEASUREMENT OF SUPPLY CHAIN FINANCE BASED ON FRACTAL THEORY
Fractals, 2020Co-Authors: Xun Liu, Xia Peng, Martin StuartAbstract:Supply chain finance is a new financing model tailored for small and medium-sized enterprises, which integrates Capital flow into supply chain management, providing commercial trade Capital Service...
Philip G. Pardey - One of the best experts on this subject based on the ideXlab platform.
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Capital Services in U.S. Agriculture: Concepts, Comparisons, and the Treatment of Interest Rates
American Journal of Agricultural Economics, 2011Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:This paper begins with a review of the methods and assumptions used to measure Capital Service flows. Two data series on Capital inputs in U.S. agriculture are briefly described and compared. We show that measures of Capital Services are sensitive to the treatment of interest rates. Notably, the use of fixed versus variable market rates significantly affects measures of the quantity and productivity of agricultural Capital in the United States. We conclude that when calculating Capital usage in U.S. agriculture, the use of a fixed interest rate generates more plausible estimates than the use of an annual market rate.
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Capital Services in U.S. agriculture: concepts, comparisons, and the treatment of interest rates.
2010Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:Measures of Capital Services are used in studies of production and to inform policies related to growth and development. A variety of methods have been used to measure Capital stocks and Service flows. We briefly review the methods commonly used to measure Capital Service flows, and the main assumptions. We then quantify the substantial differences between our newly constructed InSTePP series on Capital use in U.S. agriculture and a comparable USDA series. We show that measures of Capital Services are sensitive to the treatment of interest rates, notably the use of fixed versus variable market rates, and we demonstrate the implications for measures of the quantity and productivity of agricultural Capital in the United States. We conclude that when calculating Capital usage in U.S. agriculture the use of a fixed rate of interest will generate more plausible estimates than the use of an annual market rate that varies from year to year.
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Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture
2009Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:Measures of Capital Services are used in studies of production and to inform policies related to growth and development. A variety of methods have been used to measure Capital stocks and Service flows. In this study we review methods commonly used to measure Capital Service flows, and outline important assumptions used in constructing such measures. We examine two recently constructed data sets that measure Capital inputs in U.S. agriculture. Substantial differences in the measures appear to have been caused by the use of a fixed real interest rate versus a variable real market interest rate to calculate Capital Services.
Matthew A. Andersen - One of the best experts on this subject based on the ideXlab platform.
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Capital Services in U.S. Agriculture: Concepts, Comparisons, and the Treatment of Interest Rates
American Journal of Agricultural Economics, 2011Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:This paper begins with a review of the methods and assumptions used to measure Capital Service flows. Two data series on Capital inputs in U.S. agriculture are briefly described and compared. We show that measures of Capital Services are sensitive to the treatment of interest rates. Notably, the use of fixed versus variable market rates significantly affects measures of the quantity and productivity of agricultural Capital in the United States. We conclude that when calculating Capital usage in U.S. agriculture, the use of a fixed interest rate generates more plausible estimates than the use of an annual market rate.
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Capital Services in U.S. agriculture: concepts, comparisons, and the treatment of interest rates.
2010Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:Measures of Capital Services are used in studies of production and to inform policies related to growth and development. A variety of methods have been used to measure Capital stocks and Service flows. We briefly review the methods commonly used to measure Capital Service flows, and the main assumptions. We then quantify the substantial differences between our newly constructed InSTePP series on Capital use in U.S. agriculture and a comparable USDA series. We show that measures of Capital Services are sensitive to the treatment of interest rates, notably the use of fixed versus variable market rates, and we demonstrate the implications for measures of the quantity and productivity of agricultural Capital in the United States. We conclude that when calculating Capital usage in U.S. agriculture the use of a fixed rate of interest will generate more plausible estimates than the use of an annual market rate that varies from year to year.
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Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture
2009Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:Measures of Capital Services are used in studies of production and to inform policies related to growth and development. A variety of methods have been used to measure Capital stocks and Service flows. In this study we review methods commonly used to measure Capital Service flows, and outline important assumptions used in constructing such measures. We examine two recently constructed data sets that measure Capital inputs in U.S. agriculture. Substantial differences in the measures appear to have been caused by the use of a fixed real interest rate versus a variable real market interest rate to calculate Capital Services.
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A COMPARISON OF Capital MEASURES IN U.S. AGRICULTURE
2004Co-Authors: Matthew A. Andersen, Julian M. AlstonAbstract:This study compares two panel data sets that measure Capital input at the state-level in U.S. agriculture. Despite a number of similarities between the data sets, such as the composition of assets, aggregation procedures, and time frame, an examination of the final estimates of Capital Service flows reveals that they are drastically different for all 48 contiguous states. We examine the methods used to construct the Capital series for each data set, consider some important differences in data sources and the types of data used to construct the Capital measures, and outline the main assumptions concerning depreciation, Service lives, interest rates, aggregation, and the scope of goods included in each of the data sets. The analysis indicates that an important statistic in the index of Capital Services in U.S. agriculture is the stock of buildings on farms. We conclude that the primary difference between the measures of Capital input in the data sets relates to differences in estimates of the stock of buildings on farms. Given the apparent importance of the measure of the stock of buildings in the aggregate index of Capital Services in U.S. agriculture, more research is needed to ensure that the measure of the stock of buildings is accurate and meaningful. Once this has been accomplished there should be more agreement on an accurate measure of Capital Services in U.S. agriculture.
Howard H Goldman - One of the best experts on this subject based on the ideXlab platform.
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Service delivery and community social Capital Service systems integration and outcomes among homeless persons with severe mental illness
Health Services Research, 2001Co-Authors: Robert A Rosenheck, Joseph P Morrissey, Michael Calloway, Marilyn Stolar, Matthew Johnsen, Frances Randolph, Margaret Blasinsky, Howard H GoldmanAbstract:Abstract OBJECTIVES: This study evaluated the influence of features of community social environment and Service system integration on Service use, housing, and clinical outcomes among homeless people with serious mental illness. STUDY SETTING: A one-year observational outcome study was conducted of homeless people with serious mental illness at 18 sites. DATA SOURCES: Measures of community social environment (e.g., social Capital) were based on local surveys and voting records. Housing affordability was assessed with housing survey data. Service system integration was assessed through interviews with key informants at each site to document interorganizational transactions. Standardized clinical measures were used to assess clinical and housing outcomes in face-to-face interviews. RESEARCH DESIGN: Structural equation modeling was used to determine the relationship between (1) characteristics of the social environment (social Capital, housing affordability); (2) the level of integration of the Service system for persons who are homeless in each community; (3) access to and use of Services by individual clients; and (4) successful exit from homelessness or clinical improvement. PRINCIPAL FINDINGS: Social Capital was associated with greater Service systems integration, which was associated in turn with greater access to assistance from a public housing agency and to a greater probability of exiting from homelessness at 12 months. Housing affordability also predicted exit from homelessness. Neither environmental factors nor systems integration predicted outcomes for psychiatric problems, substance abuse, employment, physical health, or income support. CONCLUSION: Community social Capital and Service system integration are related through a series of direct and indirect pathways with better housing outcomes but not with superior clinical outcomes for homeless people with mental illness. Implications for designing improved Service systems are discussed.
Julian M. Alston - One of the best experts on this subject based on the ideXlab platform.
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Capital Services in U.S. Agriculture: Concepts, Comparisons, and the Treatment of Interest Rates
American Journal of Agricultural Economics, 2011Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:This paper begins with a review of the methods and assumptions used to measure Capital Service flows. Two data series on Capital inputs in U.S. agriculture are briefly described and compared. We show that measures of Capital Services are sensitive to the treatment of interest rates. Notably, the use of fixed versus variable market rates significantly affects measures of the quantity and productivity of agricultural Capital in the United States. We conclude that when calculating Capital usage in U.S. agriculture, the use of a fixed interest rate generates more plausible estimates than the use of an annual market rate.
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Capital Services in U.S. agriculture: concepts, comparisons, and the treatment of interest rates.
2010Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:Measures of Capital Services are used in studies of production and to inform policies related to growth and development. A variety of methods have been used to measure Capital stocks and Service flows. We briefly review the methods commonly used to measure Capital Service flows, and the main assumptions. We then quantify the substantial differences between our newly constructed InSTePP series on Capital use in U.S. agriculture and a comparable USDA series. We show that measures of Capital Services are sensitive to the treatment of interest rates, notably the use of fixed versus variable market rates, and we demonstrate the implications for measures of the quantity and productivity of agricultural Capital in the United States. We conclude that when calculating Capital usage in U.S. agriculture the use of a fixed rate of interest will generate more plausible estimates than the use of an annual market rate that varies from year to year.
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Capital Service Flows: Concepts and Comparisons of Alternative Measures in U.S. Agriculture
2009Co-Authors: Matthew A. Andersen, Julian M. Alston, Philip G. PardeyAbstract:Measures of Capital Services are used in studies of production and to inform policies related to growth and development. A variety of methods have been used to measure Capital stocks and Service flows. In this study we review methods commonly used to measure Capital Service flows, and outline important assumptions used in constructing such measures. We examine two recently constructed data sets that measure Capital inputs in U.S. agriculture. Substantial differences in the measures appear to have been caused by the use of a fixed real interest rate versus a variable real market interest rate to calculate Capital Services.
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A COMPARISON OF Capital MEASURES IN U.S. AGRICULTURE
2004Co-Authors: Matthew A. Andersen, Julian M. AlstonAbstract:This study compares two panel data sets that measure Capital input at the state-level in U.S. agriculture. Despite a number of similarities between the data sets, such as the composition of assets, aggregation procedures, and time frame, an examination of the final estimates of Capital Service flows reveals that they are drastically different for all 48 contiguous states. We examine the methods used to construct the Capital series for each data set, consider some important differences in data sources and the types of data used to construct the Capital measures, and outline the main assumptions concerning depreciation, Service lives, interest rates, aggregation, and the scope of goods included in each of the data sets. The analysis indicates that an important statistic in the index of Capital Services in U.S. agriculture is the stock of buildings on farms. We conclude that the primary difference between the measures of Capital input in the data sets relates to differences in estimates of the stock of buildings on farms. Given the apparent importance of the measure of the stock of buildings in the aggregate index of Capital Services in U.S. agriculture, more research is needed to ensure that the measure of the stock of buildings is accurate and meaningful. Once this has been accomplished there should be more agreement on an accurate measure of Capital Services in U.S. agriculture.
