SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

Brown, Jason P.; Florax, Raymond J.G.M.; McNamara, Kevin T..

The purpose of the paper is to test the long-run steady state of growth factors hypothesized to influence U.S. manufacturing investment flows. These factors include agglomeration, market structure, labor, infrastructure, and fiscal policy. Spatial cross-regressive and spatial Durbin models are used to measure the spatial interaction of investment flows. Spatial spillovers are found to be of a competitive nature at the state level, implying that a factor which attracts more investment to a particular state is associated with lower investments in neighboring states. Investment flows to states with higher market demand, more productive labor, and more localized agglomeration of manufacturing activity.

The Impacts of Change in Local Industrial Composition on Off-Farm Labor Supply

Palavras-chave: Manufacturing; Investment; Spatial Durbin model; Community/Rural/Urban Development; L60; R11; R30.

Ano: 2009

URL: http://purl.umn.edu/54835

Brown, Jason P..

Most U.S. farm households have either the operator or spouse working off-farm for wages and salaries or proprietorships. Additionally, off-farm income continues to grow as a share of total household income. Little is known about how changes in local industrial composition impact off-farm labor decisions. Using a household utility maximization framework, this analysis employs a two-stage process to 1) predict joint off-farm labor participation of operators and spouses, and 2) measure the impact of farm and household characteristics, and changes in county-level industry on levels of off-farm labor supply. Results show that labor participation decisions are jointly determined. Human capital is among the most significant individual characteristics impacting...

SPATIOTEMPORAL MODELING OF AGRICULTURAL YIELD MONITOR DATA

Palavras-chave: Farm household; Labor supply; Bivariate logit; Community/Rural/Urban Development; Labor and Human Capital; Q12; J22; R23.

Ano: 2011

URL: http://purl.umn.edu/103555

Nistor, Adela P.; Florax, Raymond J.G.M.; Lowenberg-DeBoer, James; Brown, Jason P..

Replaced with revised version of paper 03/06/08.

Economic Development Impacts of Wind Turbine Development in U.S. Counties

Palavras-chave: Corn; Drainage; Precision agriculture; Spatial panel model; Crop Production/Industries; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods; O18; Q18; R15; R38; R58.

Ano: 2008

URL: http://purl.umn.edu/6717

Brown, Jason P.; Hoen, Ben; Lantz, Eric; Pender, John L.; Wiser, Ryan.

Replaced with revised version of poster 07/07/11.

A TWO-STEP ESTIMATOR FOR A SPATIAL LAG MODEL OF COUNTS: THEORY, SMALL SAMPLE PERFORMANCE AND AN APPLICATION

Palavras-chave: Wind turbine; Propensity score matching; Spatial lag model; Community/Rural/Urban Development; Resource /Energy Economics and Policy; O13; Q21; R11.

Ano: 2011

URL: http://purl.umn.edu/103437

Lambert, Dayton M.; Brown, Jason P.; Florax, Raymond J.G.M..

Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to fill this gap. The estimator is developed assuming a Poisson distribution, but can be extended to other count distributions. The small sample properties of the estimator are evaluated with Monte Carlo experiments. Simulation results suggest that the spatial lag count estimator achieves gains in terms of bias over the aspatial version as spatial lag autocorrelation and sample size increase. An empirical example deals with the location choice of single-unit start-up...

Manufacturing Transition in Local Economies: A Regional Adjustment Model

Palavras-chave: Count model; Location choice; Manufacturing; Poisson; Spatial econometrics; Community/Rural/Urban Development; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; C21; C25; D21; R12; R30.

Ano: 2010

URL: http://purl.umn.edu/59780

Brown, Jason P.; Lambert, Dayton M.; Florax, Raymond J.G.M..

This paper addresses changes in capital formation by testing the importance of location factors with respect to the rate of establishment births and deaths in U.S. manufacturing, 2000–2004. A theoretical concept called “localized creative destruction” is tested as a mechanism to explain the dynamics impacting the spatial distribution of manufacturing establishment birth and death rates. While no support of this process was found, results identify a convergence process occurring where counties with high initial birth/death rates have smaller changes in firm birth and death rates. The interpretation is that counties become more equally competitive in terms of firm formation dynamics in lieu of successful counties increasing their lead in the short run. This...

EVOLUTION OF INVESTMENT FLOWS IN U.S. MANUFACTURING: A SPATIAL PANEL APPROACH

Palavras-chave: Location determinants; Manufacturing; Adjustment models; Community/Rural/Urban Development; L60; R11; R12.

Ano: 2010

URL: http://purl.umn.edu/61130

Brown, Jason P.; Florax, Raymond J.G.M.; McNamara, Kevin T..

This paper is updated by the file at http://purl.umn.edu/54835

Imputation of Suppressed CBP Employment Records

Palavras-chave: Manufacturing; Investment; Location factors; Community/Rural/Urban Development; L60; R11; R30.

Ano: 2008

URL: http://purl.umn.edu/42502

Firm Birth and Death in U.S. Manufacturing: A Regional Adjustment Model

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

Brown, Jason P.; Lambert, Dayton M.; Florax, Raymond J.G.M..

Attracting manufacturing investment is a frequently used rural development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the interaction of birth and death of establishments. A conceptual model of county-level investment in the U.S. manufacturing sector is developed from location theory and subsequent literature. Specifically, we test the relative importance of location factors influencing firm investment, and if these factors influence firm birth and death differently. Local factors include agglomeration due to localization, urbanization, and internal economies, market structure, labor quality, availability, and cost, market...

Short-run Birth and Death of U.S. Manufacturing Firms: 2000 - 2005

Palavras-chave: Location determinants; Manufacturing; Count models; Community/Rural/Urban Development; Research Methods/ Statistical Methods; L60; R11; R12.

Ano: 2009

URL: http://purl.umn.edu/49467

Brown, Jason P.; Lambert, Dayton M..

Attracting manufacturing investment remains a viable regional development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the dynamics of firm death and the possible interaction with firm birth. A conceptual model of county-level investment in the U.S. manufacturing sector is developed from location theory and subsequent literature. Specifically, we test the relative importance of location factors influencing firm investment, and if these factors influence firm birth and death differently. Local factors include labor quality, availability, and cost, market conditions, agglomeration due to localization and urbanization economies,...