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

Monchuk, Daniel C.; Miranowski, John A..

This study uses an overlapping generations (OLG) model with two labor types and two employment regions to examine factors driving labor migration. Specifically, we examine the effect of innovative behavior on employment growth. Using an OLG model, we test this hypothesis in the Midwestern States of Iowa, Minnesota, Missouri, Kansas, Nebraska, South Dakota, and North Dakota for eight sectors of employment. We find innovative behavior as measured by patents has a positive effect on employment growth in all sectors studied for the growth period 1969-99.

Employment and the Rural Recession: Context and Spatial Variation of American Recovery and Reinvestment Act Spending

Palavras-chave: Labor and Human Capital; Research and Development/Tech Change/Emerging Technologies.

Ano: 2002

URL: http://purl.umn.edu/19773

Marre, Alexander W.; Pender, John L.; Monchuk, Daniel C..

In December 2007 the U.S. economy entered a depression and unemployment surged to highs not seen in 30 years. The first part of this paper uses the most recently available data from BLS to examine the geography of the recession. We focus on the similarities and differences in the recession’s impact on nonmetropolitan and metropolitan counties, and counties with different economic and demographic characteristics. The second part looks at the Federal response to the recession in the form of the American Recovery and Reinvestment Act of 2009. Using publicly available data, we explore how these funds are being allocated across rural and urban counties and county classifications, and the potential implications of these funds on local rural labor markets and...

AN ANALYSIS OF REGIONAL ECONOMIC GROWTH IN THE US MIDWEST

Palavras-chave: Nonmetropolitan unemployment; Economic development policy; American Recovery and Reinvestment Act of 2009; Community/Rural/Urban Development; Labor and Human Capital; R58; J21.

Ano: 2010

URL: http://purl.umn.edu/61132

Monchuk, Daniel C.; Miranowski, John A.; Hayes, Dermot J.; Babcock, Bruce A..

In this paper we examine more closely some of the forces that underlie economic growth at the county level. In an effort to describe a much more comprehensive regional economic growth model, we address a variety of different growth hypotheses by introducing a large number of growth related variables. When formulating our hypotheses and specifying our growth model we make liberal use of GIS mapping software to "paint" a picture of where growth spots exist and why. Our empirical estimation indicates amenities, state and local tax burdens, population, amount of agricultural activity, and demographics have important economic growth impacts.

Spatial Labor Markets and Technology Spillovers Analysis from the US Midwest

Palavras-chave: Community/Rural/Urban Development.

Ano: 2004

URL: http://purl.umn.edu/20369

Miranowski, John A.; Monchuk, Daniel C..

The primary focus of this paper is the impact of knowledge creation and innovative activity on non-farm employment growth. Non-farm employment growth is modeled in a stylized model where new knowledge and local economic externalities are key factors driving technology growth. For our empirical application we assume that new knowledge and innovative activity are embodied in new patent filings within the county. To explicitly capture spillovers between counties we apply spatial econometric techniques. The econometric model, based on a 2-stage spatial econometric estimation procedure, is tested for all counties in US Midwestern States of Iowa, Minnesota, Missouri, Kansas, Nebraska, South Dakota and North Dakota. The results indicate the positive influence of...

RURAL GROWTH IN U.S. HEARTLAND

Palavras-chave: Labor and Human Capital; Research and Development/Tech Change/Emerging Technologies.

Ano: 2004

URL: http://purl.umn.edu/18224

Miranowski, John A.; Monchuk, Daniel C.; Wohlgemuth, Darin.

This study identifies factors that explain growth in rural areas using data from 618 counties in the U.S. rural heartland. We evaluate many of the growth hypotheses in the context of sectoral employment growth for counties in Iowa, Minnesota, Missouri, Kansas, Nebraska, South Dakota and North Dakota. Separate estimates for rural and urban counties provide insight into factors that are important in explaining employment growth. The results support the importance of human capital as a factor contributing to sectoral employment growth and show that increased concentration and specialization of employment within a county lead to slower growth in the rural heartland counties.

Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States

Palavras-chave: Community/Rural/Urban Development.

Ano: 2001

URL: http://purl.umn.edu/20655

Monchuk, Daniel C.; Hayes, Dermot J.; Miranowski, John A..

This study examines correlates with aggregate county income growth across the 48 contiguous states from 1990 to 2001. Since visual inspection of the variable to be explained shows a clear spatial relationship and to control for potentially endogenous variables, we estimate a two-stage spatial error model. Given the lack of theoretical and asymptotic results for such models, we propose and implement a number of spatial bootstrap algorithms, including one allowing for heteroskedasticity, to infer parameter significance. Among the results of a comparison of the marginal effects in rural versus non-rural counties, we find that outdoor recreation and natural amenities favor positive growth in rural counties, densely populated rural areas enjoy stronger growth,...

Rural Homeownership and Labor Mobility in the U.S.

Palavras-chave: County income growth; Rural development; Spatial bootstrapping..

Ano: 2008

URL: http://purl.umn.edu/37377

Monchuk, Daniel C.; Kilkenny, Maureen; Phimister, Euan.

Inference Based on Alternative Bootstrapping Methods in Spatial Models with an Application to County Income Growth in the United States

Palavras-chave: Labor and Human Capital.

Ano: 2010

URL: http://purl.umn.edu/61656

Monchuk, Daniel C.; Hayes, Dermot J.; Miranowski, John A.; Lambert, Dayton M..

This study examines aggregate county income growth across the 48 contiguous states from 1990 to 2005. To control for endogeneity we estimate a two-stage spatial error model and infer parameter significance by implementing a number of spatial bootstrap algorithms. We find that outdoor recreation and natural amenities favor positive growth in rural counties, densely populated rural areas enjoy stronger growth, and property taxes correlate negatively with rural growth. We also compare estimates from the aggregate county income growth model with per capita income growth and find that these two growth processes can be quite different.

Explaining Production Inefficiency in China’s Agriculture using Data Envelope Analysis and Semi-Parametric Bootstrapping

Palavras-chave: County income growth; Rural development; Spatial bootstrapping.; Community/Rural/Urban Development.

Ano: 2010

URL: http://purl.umn.edu/62189

Monchuk, Daniel C.; Zhuo, Chen.

In this paper we examine more closely the factors associated with production inefficiency in China’s agriculture. The approach we take involves a two-stage process where output efficiency scores are first estimated using data envelope analysis (DEA), and then in the second stage, variation in the resulting efficiency scores are explained using a truncated regression model with inference based on a semi-parametric bootstrap routine. Among the results we find a heavy industrial presence is associated with reduced agricultural production efficiency and may be an indication that externalities from the industrial process, like air and ground water pollution, affect agricultural production. We also find evidence that counties with a large percentage of the rural...

SPATIAL LABOR MARKETS AND TECHNOLOGY SPILLOVERS - ANALYSIS FROM US MIDWEST

Palavras-chave: China's agriculture; DEA; Bootstrapping; Technical efficiency; Production Economics; C14; Q1; R5.

Ano: 2008

URL: http://purl.umn.edu/6456

Monchuk, Daniel C.; Miranowski, John A..

The primary focus of this paper is the impact of knowledge creation and innovative activity on employment growth. A number of employment growth hypotheses are tested for counties in Iowa, Minnesota, Missouri, Kansas, Nebraska, South Dakota and North Dakota. We assume that new knowledge and innovative activity are embodied in patent filings for the years 1975-2000. Due to the spatial nature of the data, both spatially lagged dependant variables and spatial error models are employed. The results support the importance of knowledge creation and innovative activity as an important factor explaining employment growth in Heartland counties over the 1969-2000 period.

Innovative Behavior and Spatial Location - Using Patent Counts and Geographic Location To Estimate Innovative Spillins

Palavras-chave: Labor and Human Capital.

Ano: 2003

URL: http://purl.umn.edu/22250

Miranowski, John A.; Monchuk, Daniel C..

In this paper we examine the relation between geographic location and innovative behavior. Knowledge spillins, as opposed to knowledge spillovers, are modeled as an externality which exists between geographically close economic agents and enters the representative inventor production function explicitly from neighboring regions. To proxy new innovative behavior and new knowledge generated we use counts of patent filings per county. The proposed geographic spillin is tested for the US Midwestern States of Iowa, Minnesota, Missouri, Kansas, Nebraska, South Dakota and North Dakota using a newly constructed data set and implementing spatial statistical methods. The data set is comprised of primary inventor utility patent filings per county for the years...

Consumer Willingness to Pay for "Second-Generation" Genetically Engineered Products and the Role of Marketing Information

Palavras-chave: Patents; Spatial Econometrics; Innovative Spillins; Research and Development/Tech Change/Emerging Technologies.

Ano: 2004

URL: http://purl.umn.edu/18226

Rousu, Matthew C.; Monchuk, Daniel C.; Shogren, Jason F.; Kosa, Katherine M..

Environmental and consumer groups have called for mandatory labeling of genetically engineered (GE) food products in the United States, stating that consumers have the “right to know.” Herein, we use a nonhypothetical field experiment to examine the willingness to pay for GE-labeled products, using the only second-generation GE product currently on the U.S. market-GE cigarettes. Our results suggest consumers pay less for GE-labeled cigarettes when marketing information is absent. But, when presented with marketing information on the attributes of the cigarette, we find no evidence that consumers pay less for GE-labeled cigarettes.

Tipo: Journal Article

Palavras-chave: Auctions; BDM mechanism; Cigarettes; Field experiment; Genetically engineered foods; Second-generation; C91; Q18.

Ano: 2005

URL: http://purl.umn.edu/43501

Does Land Fragmentation Reduce Efficiency: Micro Evidence from India

Monchuk, Daniel C.; Deininger, Klaus W.; Nagarajan, Hari K..

An Analysis of Regional Economic Growth in the U.S. Midwest

Palavras-chave: Land Economics/Use.

Ano: 2010

URL: http://purl.umn.edu/61652

Monchuk, Daniel C.; Miranowski, John A.; Hayes, Dermot J.; Babcock, Bruce A..

In this paper we examine some of the economic forces that underlie economic growth at the county level. In an effort to describe a much more comprehensive regional economic growth model, we address a variety of different growth hypotheses by introducing a large number of growth related variables. When formulating our hypotheses and specifying our growth model we make liberal use of GIS (geographical information systems) mapping software to "paint" a picture of where growth spots exist. Our empirical estimation indicates that amenities, state and local tax burdens, population, amount of primary agriculture activity, and demographics have important impacts on economic growth.