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Development Accounting with Spatial Effects

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  • Wilfried Koch

Abstract

Abstract The aim of this paper is to show how the spatial autocorrelation phenomenon often observed in the world distribution of income per capita, can be introduced structurally as the outcome of spillovers effects into a development accounting equation. Neglecting spatial autocorrelation potentially biases our vision of the role played by physical capital in the development process. We show that the total contribution of physical capital accounts for almost 90% of the differences between developing countries and the richest countries.

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File URL: http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421770802353733
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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.

Volume (Year): 3 (2008)
Issue (Month): 3 ()
Pages: 321-342

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Handle: RePEc:taf:specan:v:3:y:2008:i:3:p:321-342

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Related research

Keywords: Development accounting; total factor productivity; spatial autocorrelation; technological interdependence; C21; 033; 040;

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Cited by:
  1. Badi H. Baltagi & Bernard Fingleton & Alain Pirotte, 2011. "Estimating and Forecasting with a Dynamic Spatial Panel Data Model," SERC Discussion Papers 0095, Spatial Economics Research Centre, LSE.
  2. Rosa Bernadini Papalia & Silvia Bertarelli, 2013. "Identification and Estimation of Club Convergence Models with Spatial Dependence," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 37(6), pages 2094-2115, November.

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