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Registros recuperados: 3
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Imputation of Suppressed CBP Employment Records AgEcon
Register, D. Lane; Lambert, Dayton M.; English, Burton C.; Jensen, Kimberly L.; Menard, R. Jamey; Brown, Jason P..
Suppression of employment records in the US County Business Patterns (CBP) data sets constrains the detail of new methods and recent advances in the analysis of the geographic distribution of firms and employment. Data sets created by imputation procedures can be purchased, but cost often puts them beyond the reach of many research budgets. Fortunately, methods exist whereby researchers can impute suppressed employment records. A comparison of these procedures is necessary to assess the accuracy and flexibility of each.
Tipo: Presentation Palavras-chave: Imputation; County Business Pattern data; Research Methods/ Statistical Methods.
Ano: 2012 URL: http://purl.umn.edu/124039
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Geographical Analysis of US Green Sector Industry Concentration AgEcon
Register, D. Lane; Lambert, Dayton M.; English, Burton C.; Jensen, Kimberly L.; Menard, R. Jamey; Wilcox, Michael D..
This paper analyzes the geographic distribution of “green energy” sector clustering in the lower 48 United States using recent developments in industry concentration analysis. Evidence suggests that the ten green energy subsectors and the aggregate of the firms comprising the green energy sector are regionally concentrated. Positive changes in industry concentration from 2002 to 2006 tended to be greatest in non-metropolitan counties, suggesting comparative advantage with respect to site location for the composite of firms making up these sectors.
Tipo: Presentation Palavras-chave: Agglomeration; Location Quotient; Renewable Energy; Community/Rural/Urban Development; Industrial Organization; Research and Development/Tech Change/Emerging Technologies.
Ano: 2012 URL: http://purl.umn.edu/119742
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Geographic Distribution of Renewable Energy Sector Industries: An Analysis Using Recent Developments in Industry Concentration Measurement AgEcon
Register, D. Lane; Lambert, Dayton M.; English, Burton C.; Jensen, Kimberly L.; Menard, R. Jamey; Wilcox, Michael D..
Recent developments in firm location analysis are applied to explore the concentration patterns of firms making up the green energy sectors in 2002 and 2006. A two-step procedure is applied in this analysis. First, Guimarães, Figueiredo, and Woodward’s spatial adaption of Ellison and Glaeser’s industry concentration index are applied to estimate the degree to which firms making up the so-called green energy sectors tend to exhibit concentration. In the second stage, the spatial distribution of concentration is analyzed using a statistical framework, also suggested by Guimarães, Figueiredo, and Woodward. Preliminary results suggest that green energy subsectors exhibit significant global concentration, but localized concentration appears to be random.
Tipo: Presentation Palavras-chave: Global; Local; Industry concentration measures; Green energy sectors; Community/Rural/Urban Development; Research Methods/ Statistical Methods; C21; L20.
Ano: 2012 URL: http://purl.umn.edu/124038
Registros recuperados: 3
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