2012
DOI: 10.1007/s00168-012-0524-2
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Natural amenities and their effects on migration along the urban–rural continuum

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Cited by 53 publications
(35 citation statements)
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“…Other methods exist to measure the rural-urban continuum. For example, Chi and Marcouiller (2011b) construct an index for minor civil divisions in Wisconsin, while in part relying on the county-level rural continuum codes of USDA. 8 Because there are too few observations in category [8,9), we merge categories [8, 9) and [7, 8) to create a category where the rank is greater than or equal to 7.…”
Section: Regression Resultsmentioning
confidence: 99%
“…Other methods exist to measure the rural-urban continuum. For example, Chi and Marcouiller (2011b) construct an index for minor civil divisions in Wisconsin, while in part relying on the county-level rural continuum codes of USDA. 8 Because there are too few observations in category [8,9), we merge categories [8, 9) and [7, 8) to create a category where the rank is greater than or equal to 7.…”
Section: Regression Resultsmentioning
confidence: 99%
“…There are studies confirming that amenity services are connected with growth advantages and that these have larger implications for job growth in rural regions, compared with urban regions. Chi and Marcouiller (2012) for example, examine the significance of spatial heterogeneity of amenity services for migration using a spatial regime model. They find that none of the tested amenities were significant in attracting migrants into urban regions.…”
Section: Related Varietymentioning
confidence: 99%
“…For instance, a place may be located outside of a large metropolitan area, but if a significant proportion of its population commutes to work inside the metropolitan area, this place is considered more urban than rural. The second continuum is based on a classification system designed by Chi and Marcouiller12 to study urbanisation processes in Wisconsin. This classification system, which we refer to as the modified Beale code, describes urban and rural places as they would be perceived by urban migrants; it distinguishes between metropolitan and non-metropolitan areas, and further classifies each area by the size of its population centres.…”
Section: Methodsmentioning
confidence: 99%