Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/113884
Authors: 
Cotte Poveda, Alexander
Lancheros Acosta, Mónica
Year of Publication: 
2015
Citation: 
[Journal:] Revista de Métodos Cuantitativos para la Economía y la Empresa [ISSN:] 1886-516X [Volume:] 19 [Year:] 2015 [Pages:] 24-41
Abstract (Translated): 
This paper shows the relationship between business growth and private corruption in the manufacturing industry in Colombia. This study investigates the dynamics of these variables using various techniques by implementing empirical models: estimations via panel data estimates and modeling with dynamic panel data. The technique of panel data is implemented to estimate growth in the manufacturing business using capital, employment and entrepreneurship as decision variables; this also evaluates the performance of the different interactions and the changes caused in business growth in the sectors that make up the industry to identify trends. The analysis of dynamic panel data is performed to determine the variables that affect business growth. The estimation of the panel data model shows that the selected variables to calculate business growth fit with the theoretical framework proposed in this research. The dynamic panel data model applied here reveals that in manufacturing, higher levels of private corruption have an impact on business growth; overall trends show that corruption, its effects over time and incidence rates in the industry, affected negatively the business growth of each sector analyzed in the period from the year 2000 to 2011.
Subjects: 
business growth
corporate social responsibility
corruption
manufacturing sector
productivity
JEL: 
C33
D22
L60
O14
O54
Document Type: 
Article

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