The Impact of Public Officials’ Corruption on the Size and Allocation of U.S. State Spending
Date | 01 May 2014 |
DOI | http://doi.org/10.1111/puar.12212 |
Published date | 01 May 2014 |
Cheol Liu is assistant professor in
the Department of Public Policy at City
University of Hong Kong. His research
agenda is to diagnose various risks in the
fi scal health of governments and to identify
implementable proposals for reform. The
impact of public corruption on economic,
political, and administrative variables is one
of his major research interests. He also is
interested in the responsiveness of different
revenue instruments to fi scal shocks.
E-mail: cheolliu@cityu.edu.hk
John L. Mikesell is Chancellor’s
Professor of Public and Environmental
Affairs at Indiana University. His research
focuses on fi nances of subnational govern-
ments, budget systems and processes, and
sales and property taxation. His textbook
Fiscal Administration, Analysis and
Applications for the Public Sector is
widely used in graduate public administra-
tion programs. He holds a bachelor’s degree
from Wabash College and a doctorate in
economics from the University of Illinois at
Urbana-Champaign.
E-mail: mikesell@indiana.edu
346 Public Administration Review • May | June 2014
Public Administration Review,
Vol. 74, Iss. 3, pp. 346–359. © 2014 by
The American Society for Public Administration.
DOI: 10.1111/puar.12212.
Cheol Liu
City University of Hong Kong, China
John L. Mikesell
Indiana University, Bloomington
is article demonstrates the impact of public offi cials’
corruption on the size and allocation of U.S. state spend-
ing. Extending two theories of “excessive” government
expansion, the authors argue that public offi cials’ corrup-
tion should cause state spending to be artifi cially elevated.
Corruption increased state spending over the period
1997–2008. During that time, the 10 most corrupt
states could have reduced their total annual expenditure
by an average of $1,308 per capita—5.2 percent of the
mean per capita state expenditure—if corruption had
been at the average level of the states. Moreover, at the
expense of social sectors, corruption is likely to distort
states’ public resource allocations in favor of higher-
potential “bribe-generating” spending and items directly
benefi cial to public offi cials, such as capital, construction,
highways, borrowing, and total salaries and wages. e
authors use an objective, concrete, and consistent meas-
urement of corruption, the number of convictions.
This article explores the impact of public offi cials’
corruption on the size and allocation of state
expenditures. A number of studies identify
hazardous impacts of corruption on various real sec-
tors. However, the eff ect of corruption on government
spending, public resource allocation, and budgeting in
the United States has not been studied. Realization that
international development requires good governance
has directed the concern of international organiza-
tions such as the World Bank and the International
Monetary Fund to corruption
in developing countries. But
corruption of U.S. government
offi cials is also serious. is
article presents the fi rst research
on the impact of public offi cials’
corruption on U.S. states’ spend-
ing and budgets. e comprehensive panel data cover
the 50 U.S. states from 1997 to 2008.
Mauro (1995) defi nes corruption as the “misuse
of public offi ce for private gain.” According to this
perspective, public offi cials’ corruption seems to exist
everywhere and all the time. Unsuitable policies are
made not only because policy makers do not know
what the best policy should be but also because deci-
sion makers distort economic policies for their private
interests (Jain 2001). e argument presented in this
article is twofold: First, public offi cials’ corruption is
likely to increase state spending. We adopt two “exces-
sive” government growth theories, the bureaucracy
model and the fi scal illusion model, to hypothesize
the relationship between corruption and state spend-
ing waste. Second, public offi cials’ corruption may
distort government’s public resource allocations. e
empirical results show that states with higher levels
of corruption tend to spend more on items on which
corrupt offi cials may levy larger bribes at the expense
of others.
Our corruption index is based on the number of
public offi cials who were convicted for violations of
federal corruption laws (more than 25,000 convic-
tions are included in our panel). e Public Integrity
Section of the U.S. Department of Justice has pub-
lished the conviction numbers on a consistent basis.
In contrast to other subjective, perception-oriented
indexes of corruption, our corruption variable is con-
crete, objective, and consistent.
Research on corruption must address concerns of
endogeneity and reverse causality. It is relevant to
wonder whether corruption alters the size and distri-
bution of government expendi-
tures or whether the magnitude
and allocation of government
expenditures cause corruption.
A number of instrumental
variables for corruption have
been used to address potential
endogeneity bias. However, scholars have not suc-
ceeded in fi nding both relevant and valid instruments
for U.S. public offi cials’ corruption that are applicable
for a study covering the 50 states over a long period
of time. We solve this problem by using the system
generalized method of moments (GMM) estimation.
Distinct from other instrumental variable regression
e Impact of Public Offi cials’ Corruption on the Size and
Allocation of U.S. State Spending
Research on corruption must
address concerns of endogeneity
and reverse causality.
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