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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...
Persistent link: https://www.econbiz.de/10009208103
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...
Persistent link: https://www.econbiz.de/10011212965
We analyzed the impact of private forest ownership on deforestation and poverty. Using multivariate cross-section models, we identified a statistically significant negative correlation between private forest ownership and deforestation and a statistically significant negative correlation between...
Persistent link: https://www.econbiz.de/10010843965
This paper examines the impact of imports from China on the labour productivity levels of importers, using unbalanced data from 1994 to 2006. It is hypothesised that imports from China increase importer countries' labour productivity levels. Using cross-section, fixed and random-effect models, a...
Persistent link: https://www.econbiz.de/10008751677
One of the remedies launched in combating corruption in the forest sector is privatization of state forests (and private forest ownership). We hypothesized that privatization could reduce deforestation through reducing corruption. We found a statistically significant strong positive relation...
Persistent link: https://www.econbiz.de/10010634221
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Bu çalışmada, nüfusun kent/kırsal yapısında, ekonominin sektör yapısında ve kişi başına gelirde meydana gelen değişmelere göre kişi başına enerji tüketiminin nasıl bir seyir izlediği incelenmeye çalışılmıştır. Açıklayıcı değişkenler ile enerji tüketimi...
Persistent link: https://www.econbiz.de/10010813903
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