The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.
Growth, technological interdependence and spatial externalities: theory and evidence
Abstract
This paper presents a theoretical growth model which explicitly takes into account technological interdependence among economies and examines the impact of spillover effects. Technological interdependence is assumed to operate through spatial externalities. The magnitude of the physical capital externalities at steady state, which is not usually identified in the literature, is estimated using a spatial econometric specification. Spatial externalities are found to be significant. This spatially augmented Solow model yields a conditional convergence equation which is characterized by parameter heterogeneity. A locally linear spatial autoregressive specification is then estimated providing a convergence speed estimate for each country of the sample. Copyright © 2007 John Wiley & Sons, Ltd.
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Cites
A contribution to the theory of economic growth
Solow, R. M. (1956) · The Quarterly Journal of Economics · doi:10.2307/1884513 · Cited by 24,483
On the mechanics of economic development
Lucas, R. E. (1988) · Journal of Monetary Economics · doi:10.1016/0304-3932(88)90168-7 · Cited by 24,085
Increasing returns and long-run growth
Romer, P. M. (1986) · Journal of Political Economy · doi:10.1086/261420 · Cited by 20,149
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
A Contribution to the Empirics of Economic Growth
Mankiw, N. G., Romer, D., & Weil, D. N. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118477 · Cited by 15,119
Endogenous Technological Change
Romer, P. (1989) · National Bureau of Economic Research · doi:10.3386/w3210 · Cited by 13,303
Spatial Econometrics: Methods and Models
Anselin, L. (1988) · Studies in Operational Regional Science · doi:10.1007/978-94-015-7799-1 · Cited by 9,274
“A Model of Growth: Through Creative Destruction”
Aghion, P., & Howitt, P. (1992) · Econometrica · doi:10.2307/2951599 · Cited by 7,529
The Economic Implications of Learning by Doing
Arrow, K. J. (1962) · The Review of Economic Studies · doi:10.2307/2295952 · Cited by 7,202
The Economic Implications of Learning by Doing
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Cited by
Halleck Vega, S., & Elhorst, J. P. (2015) · Journal of Regional Science · doi:10.1111/jors.12188 · Cited by 649
Elhorst, J. P. (2014) · SpringerBriefs in Regional Science · doi:10.1007/978-3-642-40340-8_3 · Cited by 566
WHERE IS THE ECONOMICS IN SPATIAL ECONOMETRICS?*
Corrado, L., & Fingleton, B. (2012) · Journal of Regional Science · doi:10.1111/j.1467-9787.2011.00726.x · Cited by 517
Some recent developments in spatial panel data models
Lee, L.-F., & Yu, J. (2010) · Regional Science and Urban Economics · doi:10.1016/j.regsciurbeco.2009.09.002 · Cited by 416
Technology spillover and TFP growth: a spatial Durbin model
Tientao, A., Legros, D., & Pichery, M. C. (2016) · International Economics · doi:10.1016/j.inteco.2015.04.004 · Cited by 81
Metadata
- Authors
- Ertur, C., & Koch, W.
- Venue
- Journal of Applied Econometrics
- Publisher
- Wiley
- Published
- 2007-08-30
- Volume
- 22
- Issue
- 6
- Pages
- 1033-1062
- ISSN
- 0883-7252 (ISSN-L)
- 1099-1255
- OpenAlex
- W2165626679
- Cited by
- 622
- References
- 73
- FWCI
- 54.11
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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