Market Potential, Spatial Dependences and Spillovers in European Regions
Bibliographic Data
| ID | 10405697 |
|---|---|
| Authors | Fernando Bruna (0000-0002-6433-0987, Universidade da Coruña, corresponding author), Jesús López‐Rodríguez (0000-0002-2142-3913, Universidade da Coruña), Andrés Faíña (0000-0003-2323-7521, Universidade da Coruña) |
| Year | 2015 |
| Volume | 50 |
| Issue | 9 |
| Pages | 1551-1563 |
| Publication date | 2015-07-29 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Regional Studies (JOURNAL) |
| Journal identifiers | ISSN: 0034-3404 • E-ISSN: 1360-0591 |
| Publisher | Routledge (PUBLISHER • GB) |
| DOI | 10.1080/00343404.2015.1048796 |
| OpenAlex | W1953896770 |
| Language | EN |
| Citations received | 8 |
| References cited | 30 |
Bruna F., Lopez-Rodriguez J. and Faíña A. Market potential, spatial dependences and spillovers in European regions, Regional Studies. This paper reinterprets the new economic geography (NEG) ‘wage’ equation by distinguishing two different types of spatial dependences: a global spatial trend and local spatial autocorrelation. A measure of the variable Market Potential in this equation can capture both a global core–periphery pattern and spillovers, while the standard weights matrices of spatial econometrics tend to be designed to capture short-distance interactions among neighbours. Using cross-sectional European regional data, the paper compares different weighting schemes to build spatial lags. The estimation of spatial models of an NEG equation for gross value added per capita (GVApc) reveals new research challenges
Econometrics · Economic geography · Economics · Estimation · Geography · Per capita · Spatial analysis · Spatial dependence · Spatial econometrics · Statistics · Variable (mathematics · Weighting · Demography · Mathematics · Regional Economic and Spatial Analysis · Regional Economics and Spatial Analysis · Spatial and Panel Data Analysis
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| Citations per year | 0.8 |
|---|---|
| Citation span | 2016 - 2026 (11) |
| Highly cited | No |