Natural Openness and Good Government
Shang-Jin Wei
No 61A, CID Working Papers from Center for International Development at Harvard University
Abstract:
This paper offers a possibly new interpretation of the connection between openness and good governance. Assuming that corruption and bad governance drive out international trade and investment more than domestic trade and investment, a "naturally more open economy" -- as determined by its size and geography -- would devote more resources to building good institutions and would display lower corruption in equilibrium. In the data, "naturally more open economies" do exhibit less corruption even after taking into account their levels of development. "Residual openness" -- which potentially includes trade policies -- is found not to be important once "natural openness" is accounted for. Moreover, "naturally more open economies" also tend to pay better civil servant salaries relative to their private sector alternatives -- indicative of the marginal benefit of good governance in a society's revealed preference. These patterns are consistent with the conceptual model.
Keywords: natural openness; corruption (search for similar items in EconPapers)
Date: 2001-02
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.hks.harvard.edu/sites/default/files/ce ... rking-papers/061.pdf (application/pdf)
Related works:
Working Paper: Natural Openness and Good Government (2000) 
Working Paper: Natural openness and good government (2000) 
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:cid:wpfacu:61a
Access Statistics for this paper
More papers in CID Working Papers from Center for International Development at Harvard University 79 John F. Kennedy Street. Contact information at EDIRC.
Bibliographic data for series maintained by Chuck McKenney ().