Corruption as a natural resource curse: Evidence from the Chinese coal mining
Baomin Dong,
Yu Zhang and
Huasheng Song
China Economic Review, 2019, vol. 57, issue C
Abstract:
Research on the natural resource curse has been extended to the impact of natural resource abundance/dependence on institutional or governance quality, which includes corruption. This study investigates the impact of coal mining on local corruption in China. The findings show a positive association between coal output and corruption at the prefectural Party Secretary's level. Using the spatial band of 200 km radius and 100 km radius of individual coalmines aggregated at prefecture level as an instrumental variable, we establish the causality running from coal output to local corruption. A robustness check using court verdicts of all bribery cases in China indicate the same result, i.e., coal mining is conducive to local corruption at all levels. Furthermore, we show that the mechanism is not through demand side, i.e., corruption is not a consequence of economic boom around the coalmines but directly linked to the coal mining itself.
Keywords: Natural resources; Coal mines; Corruption; China; Resource curse (search for similar items in EconPapers)
JEL-codes: D73 O13 Q32 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (30)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1043951X19300756
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chieco:v:57:y:2019:i:c:s1043951x19300756
DOI: 10.1016/j.chieco.2019.101314
Access Statistics for this article
China Economic Review is currently edited by B.M. Fleisher, K. X. D. Huang, M.E. Lovely, Y. Wen, X. Zhang and X. Zhu
More articles in China Economic Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().