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2019 | OriginalPaper | Chapter

6. Exploitation Hypothesis and Numerical Calculations

Authors : Prof. Toshihiro Ihori, Prof. Martin C. McGuire, Shintaro Nakagawa

Published in: International Governance and Risk Management

Publisher: Springer Singapore

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Abstract

The purpose of this chapter is twofold. First, we theoretically analyze simultaneous optimization of both self-protection and self-insurance by two countries facing the common risk of a disastrous event to derive simple analytical rules in the distribution of contributions. In this analysis, we provide a new perspective from the theory of collective risk management to reveal how allies share the burden of self-insurance and self-protection public goods. Second, we utilize our model to conduct numerical simulations of burden sharing in NATO from 1970 to 2010. In this simulation, we show that whether the conventional exploitation hypothesis holds depends on the risk profile that NATO faces. Our calculated results closely simulate the actual development of the military spending to GDP ratio.

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Appendix
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Footnotes
1
Please refer to Buchholz and Sandler (2016) for a comprehensive review of the conventional exploitation hypothesis.
 
2
As shown in the next section, the optimal self-insurance allocation implies that if \(\text{L}^{{\prime }} > 1\), the consumption in the good state is lower than that in the bad state, \(C^{1A} < C^{0A}\). To preclude this counter-intuitive case, we assume \(\text{L}^{{\prime }} \le 1\).
 
3
Cornes and Itaya (2010) argued that if two public goods are voluntarily provided in a two-player economy and both players have different preferences, there almost surely does not exist a Nash equilibrium in which both players simultaneously contribute to both public goods. Dasgupta and Kanbur (2005) independently found the theoretically identical result to that of Cornes and Itaya (2010). Their claim is not applied to our model because players in our model face two contingent budget constraints. We provide a detailed discussion on the applicability of Cornes and Itaya (2010)’s claim in the appendix of this chapter.
 
4
Using Eq. (6.39), we obtain:
\(\frac{{\partial e(C,M_{1} ,M_{2} )}}{\partial C} < 1\) if and only if \(- \frac{{U_{YY} (C)}}{{U_{Y} (C)}} < - \frac{{U_{YY} (e(C,M_{1} ,M_{2} ))}}{{U_{Y} (e(C,M_{1} ,M_{2} ))}}\).
Thus, the slope of the curve of function \(e(.)\) in \(C^{0A} - C^{1A}\) space is steeper (more gradual) than the unity if the absolute risk aversion increases (decreases).
 
5
From Eq. (6.43), the first term on the RHS of Eq. (6.48) is non-negative. Substituting Eq. (6.45) into the second term and using our assumption, Eq. (6.35), we obtain:
\(U_{Y} (e)\frac{\partial e}{{\partial C^{0A} }} - U_{Y}^{0A} = U_{Y} (e)\frac{{\text{L}^{{\prime }} U_{YY}^{0A} }}{{U_{YY} (e)}} - U_{Y}^{0A} > 0\).
 
6
From Eq. (6.39), we obtain \(C^{1A} /C^{0A} = (L^{{\prime }} )^{ - 1/\theta }\), which implies \({\rm L}^{{\prime }} R^{0A} /R^{1A} = ({\rm L}^{{\prime }} )^{1 - (1/\theta )} > 1\) because \({\rm L}^{{\prime }} < 1\) and \(\theta < 1.\)
 
7
From Eq. (6.59), we obtain \(m_{1}^{A*} \ge m_{1}^{B*} + Y^{A} - \bar{L}^{A} - Y^{B} + \bar{L}^{B}\). Substituting this inequality in the RHS of Eq. (6.15), we obtain \(C^{1A} \le Y^{B} - m_{1}^{B*} + \bar{L}^{A} - \bar{L}^{B} - m_{2}^{A*}\). Remembering \(m_{2}^{B*} = 0\) and using Eq. (6.22), we have Eq. (6.68).
 
8
We derive the second inequality of Eq. (6.87) from our assumption that \(m_{2}^{B*} > 0\).
 
9
The derivation of the Nash equilibrium is as follows. We construct a system of equations consisting of a first order condition and corner condition. Next, we check if the inequality constraints are satisfied. For example, we numerically solve a system of equations, \(\frac{{\partial W^{A} }}{{\partial m_{1}^{A} }} = 0,\;\frac{{\partial W^{A} }}{{\partial m_{2}^{A} }} = 0,\;\frac{{\partial W^{B} }}{{\partial m_{1}^{B} }} = 0,\;\frac{{\partial W^{B} }}{{\partial m_{2}^{B} }} = 0\), and check whether the solution satisfies \(m_{1}^{A*} > 0,m_{2}^{A*} > 0,m_{1}^{B*} > 0,m_{2}^{B*} > 0\). If the solution satisfies the condition, the solution is considered an interior equilibrium. We conduct this procedure for all 16 types of Nash equilibria.
 
10
For example, the average growth rate of \(Y^{A}\) in 1970–1979 is given as \((Y_{1980}^{A} /Y_{1970}^{A} )^{1/10} - 1\). The average growth rates of \(Y^{A}\) and \(Y^{B}\) reported in the table are rounded to two decimal spaces.
 
11
This chapter and Ihori et al. (2014) investigated another type of a states-of-the-world model, which consists of two states of the world and two public goods.
 
12
Cornes and Schweinberger (1996) assumed that public goods are produced by households with several production factors. However, they also assumed that households buy private goods in the market with the income they make by selling the factors. Thus, each household in their model faces only one budget constraint except for corner solutions.
 
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Metadata
Title
Exploitation Hypothesis and Numerical Calculations
Authors
Prof. Toshihiro Ihori
Prof. Martin C. McGuire
Shintaro Nakagawa
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-13-8875-0_6