Abstract
We study the effects of bureaucratic corruption on fiscal policy and economic growth, where corruption (i) reduces the tax revenue raised from households, (ii) inflates the volume of government spending, and (iii) reduces the productivity of “effective” government expenditure. We distinguish between the policies pursued by (a) a non-optimizing, and (b) an optimizing government. For both cases, corruption leads to higher income tax and inflation rates and a lower level of government spending, thus hindering growth. In the circumstances, an activist government could allocate its resources in attempting to reduce the type of corruption that harms growth the most. Finally, the findings from our unified framework could rationalize the sometimes conflicting empirical evidence on the impact of corruption on growth in the literature.
Acknowledgements
We would like to thank participants at the 2014 Royal Economic Society Annual Conference in Manchester, where this paper was presented, and an anonymous referee for insightful comments and constructive suggestions. The usual disclaimer applies.
A Appendices
A.1 Appendix
Under the assumptions of dθ = 0 and dτ = 0, the matrix form expression of equations (15) and (16) is
where a11 = 1 > 0,
In obtaining the signs of a14, a15, a24, and a25, we have used equation (5) and the expression of b from the output per capita equation (3), from where it can be shown that ∂b/∂χ < 0 and ∂b/∂λ < 0.
Using equation (22), we can derive the inflation and growth effects of a change in corruption related with the collection of tax revenues; that is, of a lower η. These are
where “Det” is the determinant, for which the expression is provided in equation (30) below.
Using equation (22) again, we can derive the inflation and growth effects of a change in corruption related with the procurement of public goods; that is, of a higher χ. These are
Finally, using equation (22) we can derive the inflation and growth effects of a change in corruption related with the productivity of public goods; that is, of a higher λ, as
In equations (23)–(28) the determinant is given by
Using equation (11), we find
So, the determinant becomes
Using equation (30) along with the expressions for aij defined above into the pairs of equations (23)–(24), (25)–(26), and (27)–(28), respectively, we obtain that dR/dη > 0, dγ/dη > 0, dR/dχ < 0, dγ/dχ < 0, dR/dλ > 0, and dγ/dλ < 0, which form the basis for Proposition 1.
A.2 Appendix
Under the assumptions of dθ = 0 and dR = 0, the new matrix form expression for the set of equations (15) and (16) now is
where bij = aij except for
Using equation (31), we can derive the income tax rate and growth effects of a change in corruption related with the collection of tax revenues; that is, of a lower η. These are
where “DET” is the determinant, for which the expression is provided in equation (38) below.
Using equation (31) again, we can derive the income tax rate and growth effects of a change in corruption related with the procurement of public goods; that is, of a higher χ. These are
Finally, using equation (31) we can derive the income tax rate and growth effects of a change in corruption related with the productivity of public goods; that is, of a higher λ, as
In equations (32)–(37) the determinant is given by[31]
Using equation (38) along with the expressions for bij defined above into the pairs of equations (32)–(33), (34)–(35), and (36)–(37), respectively, we obtain that dτ/dη < 0, dγ/dη > 0, dτ/dχ > 0, dγ/dχ > 0, dτ/dλ > 0, and dγ/dλ < 0, which form the basis for Proposition 2.
A.3 Appendix
Using the restrictions that dτ = 0 and dR = 0, the new matrix form expression for the set of equations (15) and (16) now is
where cij = aij except for
Using equation (39), we can derive the effects of a change in corruption associated with the collection of tax revenues (a lower η) on government expenditure and growth. These are
where “Det” is the determinant, for which the expression is provided in equation (46) below.
Using equation (39) again, we can derive the effects of a change in corruption associated with the procurement of public goods (a higher χ) on government expenditure and growth. These are
Finally, using equation (39) we can derive the effects of a change in corruption associated with the productivity of public goods (a higher λ) on government expenditure and growth. These are
In equations (40)–(45) the determinant is given by
Multiplying and dividing through equation (46) by θ, and using equations (3), (6) and that ∂b/∂θ = (1 – β/β)(b/θ), yields
the sign of which is in general ambiguous. The sign depends on the relative size of total spending on public goods and services (as a fraction of GDP). If this ratio is large, then Det′ < 0 and the effects captured by equations (40)–(45) can be assigned the following signs: dθ/dη > 0, dγ/dη > 0, dθ/dχ < 0, dγ/dχ < 0, dθ/dλ < 0, and dγ/dλ < 0. If g/y is relatively small, the opposite effects take shape. These findings form the basis for Corollary 3.1.
B Appendix
B.1 Appendix
The economy is populated by two types of agents, households and bureaucrats, of which bureaucrats are divided into those that oversee the collection of tax revenue and those that deal with the procurement of the public good. In these two classes of bureaucrats, there are in place both honest and corrupt public officials. This description of the structure of our economy shows that there is no such thing as one representative agent. Therefore, when the benevolent government is deriving the welfare criterion, Ω in equation (18), it takes into account the discounted lifetime utility of all agents. Given that utility is solely based on consumption during the second period of the agents’ lives, the appropriate measure of welfare is a function of the total level of consumption in the economy during the agents’ lifetime.
The income of households and the legal income of bureaucrats are saved with the financial intermediaries, while the illegal income of bureaucrats is saved “under the mattress.” This means that only the income saved through banks is subject to an uncertain rate of return conditional on the probability of the agent’s relocation. The illegal income, on the other hand, carries no rate of return. This latter income is represented by the total amount appropriated by corrupt bureaucrats: (1 – μ)[(1 – η)τwt + χεθyt]. This illegal income, however, is not included in the government’s social welfare function given that the government knows the proportion of corrupt bureaucrats, and thus the size of their income. In other words, the government considers in its welfare function only consumption that arises from legal income.
From equations (18), (1), and (8), the benevolent government maximizes
where
subject to the economic growth rate equation (12) and the government budget constraint equation (14), which we re-write both here for convenience
Using equations (3), (4), (5), (9), and (10) into equation (49), the latter becomes
or,
where[32]
Using equation (52) and the growth rate equation (50), some algebra reveals that equation (48) becomes equation (19), or
Solving for the benevolent government’s optimization problem, which amounts to maximizing equation (53) subject to equations (50) and (51) with respect to the three fiscal policy instruments (τ, θ, and R), the optimality conditions are given, respectively by
where λ is the Lagrange multiplier associated with the government budget constraint and ∂Δ/∂R and ∂Y/∂R are as defined in the text.[33]
Next, combining equations (54) and (55), and simplifying, yields
while combining equations (54) and (56), yields
These two reduced optimality conditions, (57) and (58), which define the two implicit functions J1(·) and J2(·) in the text, along with the government budget constraint (14), are used to solve for the three (second-best) optimal fiscal instruments, θ*, τ*, and R*. These expressions, however, are highly non-linear, and as a result explicit solutions for the optimal fiscal instruments, and of the effects of corruption, cannot be obtained. For this reason, we rely on numerical simulations, as discussed in the text.
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