Quality of the Business Environment Versus Quality of Life: Do Firms and Households Like the Same Cities?

Gabriel, Stuart A.; Rosenthal, Stuart S.

doi:10.1162/003465304774201879

Cited by 154 publications

(143 citation statements)

References 24 publications

(21 reference statements)

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“…For scaling purposes in the diagonally weighted minimum distance estimation the unexplained component is combined with the average wage across all cities. This method for calculating the unexplained component of wages is similar to studies using wage and price differentials to look at differences in amenity levels (Gabriel and Rosenthal, 2004) and provides similar estimates. depicts all cities and the right panel depicts a subset with labels.…”

Section: Datamentioning

confidence: 88%

Barriers to Migration in a System of Cities

Seegert

2014

SSRN Journal

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This paper creates a model where heterogeneous cities, in production and quality of life amenities, are created under different policy regimes that create barriers to migration. When policies are set by local governments, too many cites are created and these are biased toward providing high quality of life amenities. If instead, there are no policies that limit migration, too few cities are created and these are biased toward high production amenity cities. In contrast, this paper demonstrates a market mechanism (implementable through local zoning regulations) that provides the incentives for individuals to create and move across cities efficiently, despite the lack of coordination across cities. These results demonstrate the importance of accounting for barriers to migration and agglomeration benefits when estimating production and quality of life amenity levels. Otherwise, if there is path dependence in city growth, the estimated amenity levels will be biased toward cities with amenities important in previous centuries.

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Section: Datamentioning

confidence: 88%

Barriers to Migration in a System of Cities

Seegert

2014

SSRN Journal

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“…6 Our analysis also connects to a more general research strand in urban economics that examines the amenity value of cities (e.g. Albouy, 2009Albouy, , 2012Blomquist, Berger, & Hoehn, 1988;Gabriel & Rosenthal, 2004;Gyourko & Tracy, 1991;Tabuchi & Yoshida, 2000) or neighborhoods within cities (e.g. Brueckner, Thisse, & Zenou, 1999;Carlino & Coulson, 2004;Cheshire & Sheppard, 1995;Ioannides, 2003).…”

mentioning

confidence: 85%

Urban renewal after the Berlin Wall: a place-based policy evaluation

2016

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We use a quasi-experimental research design to study the effects of 22 renewal areas implemented in Berlin, Germany, to increase housing and living quality in the aftermath of the city's division during the Cold War period. We find that compared to areas considered but not selected for the program, the number of buildings in poor (good) condition decreased (increased) by 25% (10%) and property value increased by about 50% over a near to 20 years period. The effect, however, does not seem causal and largely attributable to trends correlated with locational characteristics. More generally, our findings suggest that estimated place-based policy effects can be sensitive to unobserved local shocks if a limited number of treatment and control areas are considered in the analysis. Terms of use: Documents in EconStor may

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“…Other empirical studies found that physical capital formation [37], education quality [38,39], industrial structure [40] and agglomeration [41] served as major pulling factors to attract a well-educated worker. Land price [40,42] and living costs [38,40] negatively influenced concentration on human capital in regions. Finally, skilled workers tended to reside within metropolitan areas where they consistently performed creative activities thanks to agglomeration economies [43,44].…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Education and R&D Investment on Regional Economic Growth

2017

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Abstract:The purpose of this paper is to examine the impact of education and R&D investment on regional economic growth in South Korea. We develop a simultaneous model of production, human capital accumulation, migration, population and physical capital investment of two regions: the Seoul Metropolitan Area and the rest of Korea. We decompose the regional growth path into a quality path and a quantity path to identify how regional economies grow and run simulations to evaluate alternative policies in terms of effectiveness and adaptability. The impact of education and R&D investment on regional growth in the rest of Korea is only 22.3% of that in the Seoul Metropolitan Area due to lower elasticity values of young in-migrants with respect to the investment in the rest of Korea. An enhanced efficiency of regional human capital accumulation is effective and adaptable to alleviate regional economic disparity.

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Quality of the Business Environment Versus Quality of Life: Do Firms and Households Like the Same Cities?

Cited by 154 publications

References 24 publications

Barriers to Migration in a System of Cities

Barriers to Migration in a System of Cities

Urban renewal after the Berlin Wall: a place-based policy evaluation

The Impact of Education and R&D Investment on Regional Economic Growth

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