The Contribution of Regions to Aggregate Growth
This paper investigates the contribution of regional performance to aggregate growth in the OECD. We find a great degree of heterogeneity in the performance of large (TL2) and small (TL3) OECD regions and among types (urban intermediate and rural) of regions suggesting possibilities for growth performance exist everywhere. We find that distribution in GDP and GDP per capita growth rates follow an approximately normal distribution among large regions, but the symmetry appears to break down among small regions. Distribution of each region.s contribution to aggregate growth is not symmetric. This implies that average values loose meaning and may not be the most adequate policy target for maximizing aggregate output. On the contrary, we find evidence of a power law and its scale free properties among regional contributions to aggregate growth, implying that a very small number of regions contributes disproportionately to aggregate growth whereas the most of individual regions contribute only marginally. Nevertheless, because there is a very large number of these small regions, their cumulated contribution has a major impact on aggregate growth. For the period 1995-2005, 4% of the large regions contribute to 33% of aggregate OECD growth and the remaining 96% to 67%. Confirming the scale-free properties of the distribution, only 2.4% of small regions contribute to 27% of OECD GDP growth and the remaining 97.6% to 73%. Using these properties, we then estimate an econometric model explaining growth at the regional level by several policy variables and controls, under different scenarios, and compute the derived aggregate growth. We find that a 10% increase in policy variables -- infrastructure, educational attainments, and employment growth -- increases aggregate GDP growth annually during the period 2005-2015 by 0.22 percentage points relative to the BaU scenario. An increase in policy variables by 10% in only lagging regions will entail a similar effect on aggregate output, as well as an increase in the same policies in only leading regions. The policy variable having the largest increase on aggregate growth is an improvement in human capital (measured by education attainment) at the regional level.
|Date of creation:||Sep 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.ersa.org
When requesting a correction, please mention this item's handle: RePEc:wiw:wiwrsa:ersa10p1156. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Gunther Maier)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.