Abstract
This editorial summarises the papers published in issue 15.4 in order to raise the bar in applied spatial economic research and highlight new trends and knowledge. The first paper challenges the standard notion that more growth is better. The second paper challenges macroeconomic models by looking at them from a regional micro-grounded lens, where the effect of productivity shocks depends on the distribution of economic activity and the locations where shocks occur. The third paper investigates the wage-productivity nexus using the latest techniques on cross-sectional dependence. The fourth paper introduces a new method to determine regional price differentials. The fifth paper tests whether economic-theoretical insights obtained from urban economic models apply not only to cities in developed countries but also to those in developing countries. The sixth paper sets out an estimation method for a spatial random coefficients model for clusters of observations. The seventh paper proposes a new method for regionalizing national input–output tables. The final paper focuses on Big Data and its role in regional growth.
Original language | English |
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Pages (from-to) | 353-358 |
Number of pages | 6 |
Journal | Spatial Economic Analysis |
Volume | 15 |
Issue number | 4 |
DOIs | |
State | Published - 2020 |
Bibliographical note
Publisher Copyright:© 2020 Regional Studies Association.
Keywords
- Shrinkage
- clustering
- prices
- productivity
- regionalization
- spatial differences
- wage