Publicado
2013-07-01

Desigualdad industrial: una aproximación no-paramétrica al caso colombiano

Industrial Inequality: a Non-Parametric Approach to the Colombian Case

DOI: https://doi.org/10.15332/s2248-4914.2013.0023.06
Andrés Camacho Murillo

Resumen (es)

Desde la última inolvidable caída de la economía Colombiana en 1999, un número importante de investigadores han evidenciado una asombrosa recuperación en la tasa de crecimiento del PIB; sin embargo, las expectativas de una economía saludable no han sido alcanzadas aun con otros indicadores que, inevitablemente, crean dudas sobre el milagro económico. En este artículo se explora la realidad no revelada de la concentra- ción del ingreso industrial en la economía colombiana. Para un total de 6 años (desde el año 2000 hasta el 2010, números pares), y más de diez mil empresas estudiadas por año, dos modelos no paramétricos son estimados en tiempo discreto: el índice Gini (G), el índice de Disimilaridad (DI) y el índice Herfindalh-Hirshman para regiones (HHIR). El resultado muestra un alto G de 0,65 para todas las secciones industriales, un DI de 0,61, y un HHIR de 0,49.

Palabras clave (es): Industrial concentration, Gini index, Herfindalh-Hirshman index, Industrial inequality

Resumen (en)

From the last unforgettable economic downturn in Colombia in 1999, plenty of researchers have evidenced an astonishing recovery in the GDP’s growth rate; however, the expectation of a healthy economy has not been yet reached by other indicators which, inevitably, raise doubts about an economic miracle. In this article, the unveiled reality of the industrial revenue concentration in the Colombian economy is explored. From a total of six years over the period 2000 to 2010 (in alternate numbers) with more than nine thousand firms studied for each year, two non-parametric models are applied in discrete time: Gini index (G), and the Herfindahl-Hirshman Index for regions (HHIR). The outcome shows a high G of 0,73 for the whole industrial sections, and a HHIR of 0,49.
Palabras clave (en): Industrial concentration, Gini index, Herfindalh-Hirshman index, industrial inequality
Andrés Camacho Murillo, Universidad Santo Tomas

Facultad de economía, Universidad Santo Tomas. Miebro del grupo de investigacion en Productividad y competitividad CIFE. 

 

Referencias

Abaker & Salih (2011). Poverty and inequality in industrial sector of Sudan, Scholarly Journal of Business Administration, Vol. 1(4) pp. 83-88.

Agrawal, T. (2014). Educational inequality in rural and urban India. International Journal of Educational Development, 34, 11-19.

Anward, S. (2008). Factor mobility, wage inequality and welfare. International review of economics & Finance, volume 17, issue 4, October, p.495-506

Bastos, P., & Straume, O. R. (2012). Globalization, product differentiation, and wage inequality. Canadian Journal of Economics/Revue canadienne d’économique, 45(3), 857-878.

Coelho, De Rezende & De Oliveira (2013). Concentration of world exports of forest products [concentração das exportações mundiais de produtos florestais], Ciencia Florestal, 23 (4), pp. 691-701.

Dunford, M (2009). Regional inequalities. International Encyclopedia of Human Geography, p.236-245

Galindo, M. (2014, May 17). La Desigualdad no es como la pintan…es peor. El Tiempo. Retrieved from http://www.eltiempo.com

Gibson, J & Kim, B. (2008). The effect of reporting errors on the cross-country relationship between inequality and crime. Journal of Development economics, volume 87, issue 2, October, p. 247-254

Hanley, C. (2011). Investigating the organizational sources of high-wage earnings growth and rising inequality. Social science research, volume 40, issue 3, may, p. 902-916

Jeanneney, S. & Hua, P. (2001). How does real exchange rate influence income inequality between urban and rural areas in China? Journal of development Economics, volume 64, issue 2, april, p.529-545

Pryor, F. (2012). The impact of income inequality on values and attitudes. The journal of socio-Economics. Doi: 10.1016/j.socec.2012.04.022

Kaminski, J. (2012). The development of market power in the Polish power generation sector: A 10-year perspective, Energy Policy, 42, pp. 136-147

Lall & Chakravorty (2005). Industrial Location and Spatial Inequality: Theory and Evidence from India. Review of Development Economics, 9(1), 47–68, 2005

Li, G. & Fang, C. (2013). Analyzing the multi mechanism of regional inequality in China. Berlin, Germany: Springer-Verlag Berlin Heidelberg

Liao, Y. (2010). The concentration ratio of China construction industry market, 2010 International Conference on Management and Service Science, MASS 2010, art. no. 5577404.

Papatheodorou, A., & Arvanitis, P. (2009). Spatial evolution of airport traffic and air transport liberalisation: the case of Greece. Journal of Transport Geography, 17(5), 402-412.

Sacker A. et al. (2001). Dimensions of social inequality in the health of women in England: Occupational, material and behavioral pathways, Social sciences and medicine, volume 52, issue 5, march, p.763-781

Scruggs, L. (1998) Political and economic inequality and the environment. Ecological economics, volume 26, issue 3, September, p. 259-275

Weil, D. (2009). Economic growth (2nd ed.). Boston, MA: Pearson education, Inc.

World Bank (2005). Introduction to poverty analysis. The World Bank Institute. Retrieved http://siteresources.worldbank.org/PGLP/Resources/PovertyManual.pdf

Cómo citar

Camacho Murillo, A. (2013). Desigualdad industrial: una aproximación no-paramétrica al caso colombiano. Revista CIFE: Lecturas De Economía Social, 15(23), 107-122. https://doi.org/10.15332/s2248-4914.2013.0023.06