By using three corruption indices, six privatization indicators, and taking the endogeneity problem into consideration, we test the hypothesis that privatization contributes to a decrease in corruption in transition economies. We identified a highly statistically significant and negative association between privatization and corruption in transition economies for three different corruption indices and six different privatization indicators.corruption, privatization, transition economies, panel study,
In this study, we explore the impact of ICT penetration on tax revenue. We test the hypothesis that ICT penetration contributes to increase in tax revenue by examining an unbalanced panel data set including the period 1990 to 2013 and using four ICT penetration indicators and three tax revenue indicators. Our largest sample includes 157 countries. We identified highly statistically significant positive correlation between ICT penetration and tax revenue by using univariate and multivariate time effect models. This finding is statistically significant and valid for four ICT penetration indicators and three tax revenue indicators. Our results suggest that ICT penetration increases tax revenue across countries between 1990 and 2013, controlling for other factors that may contribute to increase in tax revenue.
We hypothesized that corruption could contribute to deforestation. The present study, therefore, try to identify such a relation between corruption and deforestation. By using three different corruption indices, we found a statistically significant strong positive relation between corruption and deforestation for different periods across different countries. This finding remains valid in both univariate and multivariate models. Also, the model takes the potential heteroscedasticity problem, common in cross-section studies, into account and makes correction if necessary. To our best knowledge, this study is the first cross-country study addressing to the issue by utilizing all available corruption indices, namely Corruption Perception Index (CPI), International Country Risk Guide (ICRG) index, and Business Intelligence (BI) index. Policies and measures taken towards reducing corruption, therefore, may help to decrease illegal forest activities (e.g. illegal logging and timbering, smuggling of forest products etc.) and in turn depletion of forests.
A growing number of case studies and reports suggest that Information and Communication Technologies (ICT) play an important role in fighting against deforestation, and the penetration of ICT help decrease deforestation in a different part of world’s forests. The aim of this study is to test whether diffusion of ICT contributes to decreasing in deforestation in the world. For this purpose, the effect of ICT penetration on deforestation is estimated by using bivariate and multivariate fixed time effect models. In the sample selection process, those countries having 2% or more forest area as a percentage of total land area we included in our analysis. The largest sample includes 174 countries. The period under study is between 1991 and 2012. It is found that ICT penetration is significantly and negatively associated with deforestation. The results are robust to the inclusion of a number of control variables as well as different indicators of ICT penetration and deforestation as such all available four ICT indicators and two deforestation indicators are used. To avoid potential spurious regression problems in the analyses, the original models are re-estimated by using the stationary forms of all independent and dependent variables. A strong negative correlation between ICT indicators and deforestation indicators is also supported by the findings of re-estimated bivariate and multivariate models. Empirical evidence at the macro level provided in this paper confirms the results mentioned in the case studies.
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