37 research outputs found

    Spatial Labor Markets and Technology Spillovers - Analysis from the US Midwest

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    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 1975-2000. The results do indeed suggest spatial interaction does occur and innovative activity in surrounding counties is an important factor in explaining new innovative behavior. Further analysis also reveals lagged patenting behavior within the county also has a significant impact on patenting activity suggesting innovative externalities exist over both space and time.patents; employment growth; technology spillovers; spatial spillovers

    RURAL GROWTH IN U.S. HEARTLAND

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    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.Community/Rural/Urban Development,

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

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    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, and property taxes correlate negatively with rural growth

    AN ANALYSIS OF REGIONAL ECONOMIC GROWTH IN THE US MIDWEST

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    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.Community/Rural/Urban Development,

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

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    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

    Consumer Perceptions of Labels and the Willingness to Pay for “Second Generation” Genetically Modified Products

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    Environmental and consumer groups have called for mandatory labeling of genetically modified (GM) food products in the United States, stating that consumers have the “right to know.” But evidence exists suggesting that consumers often cannot correctly interpret the meaning of scientific labels. Herein we use a nonhypothetical field experiment to examine how well consumers interpret GM labels, focusing on the solitary secondgeneration GM product currently on the U.S. market—GM cigarettes. Our results suggest that while consumers pay less for GM cigarettes when they are labeled as GM, these labels seem to be misinforming consumers. This evidence implies that consumers could be better off without mandatory GM labeling

    People Rush in, Empty Their Pockets, and Scuttle Out: Economic Impacts of Gambling on the Waterways

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    This paper evaluates county-level economic growth impacts of casinos along waterways in six US states over the years 1995-2002. In a manner consistent with in-dividual state legislation regarding legalized riverboat gambling, the dataset in-cludes those counties in the states of Illinois, Indiana, Iowa, Louisiana, Missouri, and Mississippi adjacent to navigable waterways. Using insights gained from reduced form equations derived via a structural growth model, a system of growth relation-ships is estimated for each of population, employment, and aggregate county in-come. Controlling for various local characteristics, there is evidence counties with a casino opening after 1995 experienced slower aggregate county income growth while the effect on employment growth was positive. Casinos did not appear to signifi-cantly affect population growth
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