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This paper examines two important aspects of the firms, firstly, it identifies the factors
responsible for firm-level corruption, and secondly it investigates the impact of
corruption on firm performance in 147 economies using the data set of World Bank’s
Enterprise Survey. Two indicators, that is, firm’s annual real sale growth and export
performance are used to gauge the firm performance. Logistic regression is employed to
estimate the determinants of corruption and Ordinary Least Square is employed to
estimate the impact of firm’s corruption on its performance. It is found that corruption
augments firm’s sale and export performances in the aggregate analysis of 147
economies. In the disaggregated analysis, it is found that corruption increases the firm’s
sale and exports in low income economies while it reduces the firm’s performance in
high and middle income nations.
Syed Muhammad Imran, Hafeez Ur Rehman, Rana Ejaz Ali Khan. (2019) Determinants of Corruption and Its Impact on Firm Performance: Global Evidence, Pakistan Journal of Commerce and Social Sciences, Volume 13, Issue 4.
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