z-logo
Premium
Corruption and Investment Choices: A Panel Data Study
Author(s) -
Swaleheen Mushfiq us
Publication year - 2007
Publication title -
kyklos
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 58
eISSN - 1467-6435
pISSN - 0023-5962
DOI - 10.1111/j.1467-6435.2007.00387.x
Subject(s) - economics , panel data , investment (military) , productivity , language change , monetary economics , stock (firearms) , econometrics , fixed investment , gross private domestic investment , macroeconomics , return on investment , human capital , capital formation , production (economics) , open ended investment company , market economy , financial capital , mechanical engineering , art , literature , politics , political science , law , engineering
SUMMARY There is evidence in the literature that corruption lowers the level of investment and the productivity of capital stock in an economy. This paper extends the literature by presenting evidence that investment allocation decisions are affected in a significant way by corruption. The most commonly used measure of the efficiency of overall investment in an economy is the incremental capital output ratio (ICOR), measured by the ratio of gross investment to the change in the gross domestic product. The inverse of the ICOR measures the productivity of investment in an economy. When the known explanatory factors for inter‐country variation in the ICOR are taken into account, the incidence of corruption has a statistically significant negative effect on the efficiency of investment for a panel of 90–140 countries during 1995–2004. The strength of this effect increases with the incidence of corruption. The econometric model used is robust to unobserved and time‐invariant country fixed effects, feedbacks from current stochastic shocks to subsequent values of the determinants of investment efficiency, and the persistence of efficiency.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here