Corruption and Natural Resource Rents: Evidence from Quantile Regressions
Corruption and Natural Resource Rents: Evidence from Quantile Regressions
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腐败和自然资源租金：来自分位数回归的证据
DOI：
10.1080/13504851.2017.1287849
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发表时间：
2017
影响因子：
1.6
通讯作者：
Keisuke and Sovannroeun Samreth
中科院分区：
文献类型：
--
作者：
Okada;Keisuke and Sovannroeun Samreth
本研究考察了157个国家的石油租金对腐败的影响。虽然现有的研究主要集中在平均效应上，但我们采用分位数回归来估计自然资源丰度对不同腐败程度的影响。我们考虑了自然资源租金的影响，主要是石油租金，然后将其与总自然资源租金和非石油自然资源租金进行了比较。估计结果表明，一般来说，石油租金越高，腐败越严重。具体来说，在腐败程度中等的国家，影响更大，在高度腐败的国家，影响更小。虽然总资源租金会显著增加腐败，但非石油资源租金不会。这可能是由于非石油资源的租金管理（主要是内陆）更受公众监督。非石油自然资源集中在腐败盛行的欠发达撒哈拉以南非洲国家；因此，自然资源租金的影响不显著。
This study examines the impacts of oil rents on corruption for 157 countries. While existing studies have primarily focused on average effects, we employ quantile regression to estimate the effects of natural resource abundance for different corruption levels. We consider the effects of natural resource rents, mainly oil rents and then compare them with those of total and non-oil natural resources rents. The estimation results show that, generally, more oil rents increase corruption. Specifically, impacts are larger in countries with an intermediate level of corruption and smaller in highly corrupt countries. While total resource rents increase corruption significantly, non-oil resource rents do not. This may be due to non-oil resource rent management (mainly inland) being more subject to public scrutiny. Non-oil natural resources are concentrated in the less-developed sub-Saharan African countries, where corruption is prevalent; therefore, the impacts of natural resource rents are unremarkable.