Abstract
We investigate how the relaxation of financial constraints affects economic growth in a dynamic game of the tragedy of the commons by introducing an imperfect financial market into Tornell and Velasco’s (J Polit Econ 100(6):1208–1231, 1992) model. It is shown that whereas the relaxation of financial constraints enhances economic growth if agents have access only to a common asset whose property rights are not secure, the relaxation of financial constraints reduces economic growth if agents can have access not only to a common asset but also to a private asset whose property rights are secure.
Similar content being viewed by others
Notes
The interest rate, \(r_\tau \), is endogenously determined, as will be explained later [refer to equation (16)].
The proofs of the main results carry through even if a capital depreciation rate is introduced. For simplicity of exposition, we assume that capital fully depreciates in one period.
The i.i.d. assumption for the productivity shocks can be interpreted in various ways. For instance, defective products, illness among workers, or a fire may accidentally reduce production.
Lamoreaux [12] examines insider lending in post-Revolution New England in the early nineteenth century and reports that insider lending resulted in the formation of investment clubs that pressured financial intermediaries to lend funds. Insider lending could promote economic growth resolving the asymmetric information between lenders and borrowers in a malfunctioning financial market. This implies that the value of \(\lambda \) might increase as the number of the interest groups increases. The result of the current paper will hold also for that case as in the working paper version of the paper [11]. In the current paper, we assume \(\lambda \) to be constant for simplicity.
The derivation of an optimal portfolio allocation of firm h’s savings follows [10].
Note that each firm optimally allocates its savings to \(k_{\tau }^h\) and \(b_{\tau }^h\) in each period. In this sense, one can consider that the return, \(R_\tau ^h\), is determined by nature in this dynamic game.
\(\alpha N=\alpha (N)N\) is smaller than 1 and increasing in N.
We assume the uniform distribution for simplicity of exposition, as it significantly simplifies our analysis. We can investigate the growth rates in this and the next sections by applying more general distributions for productivity shocks (especially in the next section) without changing the main results.
One notes from (13) that as the number of interest groups increases, the appropriation rate, \(\alpha \), decreases, and thus, given \(I_t^h\), each individual interest group’s consumption decreases. However, the aggregate appropriation rate, which is given by \(\alpha N=(1-\tilde{\beta })\), increases as the number of interest groups increases. Therefore, given the total product \(Y_t\), the total consumption becomes larger and the total saving becomes smaller as the number of interest groups increases, as seen in (15).
It is assumed that agents cannot borrow from abroad, and thus, \(f_\tau ^{i,h}\ge 0\).
In addition to Remark 3, for \(\rho \) to exist, the extent of financial constraints, \(\mu \), must be somewhat large. More concretely, it must hold that \(\mu >1/(N-1)\). Therefore, if \(\mu >1/2\), \(\rho \) satisfying Assumption 2 can exist for all \(N\ge 3\).
References
Aghion P, Banerjee A (2005) Volatility and growth. Oxford University Press, New York
Aghion P, Banerjee A, Piketty T (1999) Dualism and macroeconomic volatility. Quart J Econ 114(4):1359–1397
Aghion P, Howitt P, Mayer-Foulkes D (2005) The effect of financial development on convergence: theory and evidence. Quart J Econ 120(1):173–222
Arcand JL, Berkes E, Panizza U (2015) Too much finance? J Econ Growth 20(2):105–148
Dockner EJ, Plank M, Nishimura K (1999) Markov perfect equilibria for a class of capital accumulation games. Ann Oper Res 89:215–230
Dockner EJ, Nishimura K (2001) Characterization of equilibrium strategies in a class of difference games. J Differ Equ Appl 7(6):915–926
Dockner EJ, Nishimura K (2004) Strategic growth. J Differ Equ Appl 10(5):515–527
Dockner EJ, Nishimura K (2005) Capital accumulation games with a non-concave production function. J Econ Behav Organ 57(4):408–420
Greenwood J, Jovanovic B (1990) Financial development, growth, and the distribution of income. J Polit Econ 98(5):1076–1107
Kunieda T, Shibata A (2016) Asset bubbles, economic growth, and a self-fulfilling financial crisis. J Monet Econ 82:70–84
Kunieda T, Nishimura K (2018) Finance and economic growth in a dynamic game. Working paper. Kwansei Gakuin University
Lamoreaux NR (1994) Insider lending. Banks, personal connections, and economic development in industrial New England. Cambridge University Press, New York
Lane PR, Tornell A (1996) Power, growth, and the voracity effect. J Econ Growth 1(2):213–241
Levine R (2005) Finance and growth: theory and evidence. In: Aghion P, Durlauf SN (eds) Handbook of economic growth, vol 1A. Elsevier, Amsterdam, pp 865–934
Levine R, Loayza N, Beck T (2000) Financial intermediation and growth: causality and causes. J Monet Econ 46(1):31–77
Loayza NV, Rancière R (2006) Financial development, financial fragility, and growth. J Money Credit Bank 38(4):1051–1076
Long NV, Sorger G (2006) Insecure property rights and growth: the role of appropriation costs, wealth effects, and heterogeneity. Econ Theor 28(3):513–529
Saci K, Giorgioni G, Holden K (2009) Does financial development affect growth? Appl Econ 41(13):1701–1707
Sorger G (2005) A dynamic common property resource problem with amenity value and extraction costs. Int J Econ Theory 1(1):3–19
Tornell A, Velasco A (1992) The tragedy of the commons and economic growth: Why does capital flow from poor to rich countries? J Polit Econ 100(6):1208–1231
Tornell A, Lane PR (1999) The voracity effect. Am Econ Rev 89(1):22–46
Author information
Authors and Affiliations
Corresponding author
Additional information
This work is financially supported by the Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research (Nos. 15H05729, 16H02026, and 16H03598). We are grateful to anonymous referees and a guest editor whose comments and suggestions helped improve and clarify this manuscript. Of course, all remaining errors, if any, are ours.
Appendix
Appendix
1.1 Proof of Lemma 2
We set up the Lagrangian as follows:
The first-order conditions are given by
and
Under the Markov perfect equilibrium, the optimal control path, \(\{\tilde{d}_t^{i,h}, c_t^{i,h}\}\), exists if and only if \(d_t^{i,h}=\tilde{d}_t^{i,h}=\theta _t R_t^hs_{t-1}^h\) in (21) and (23), and the first-order conditions, (B.2)-(B.5) and the transversality conditions, \(\lim _{s\rightarrow \infty }\beta ^sE_t\left[ s_{t+s}^h/c_{t+s}^{i,h}\right] =0\) and \(\lim _{s\rightarrow \infty }\beta ^sE_t\left[ f_{t+s}^{i,h}/c_{t+s}^{i,h}\right] =0\), are satisfied.
or, equivalently,
From (B.7), we obtain
This is equation (25). From (23), with \(d_t^{i,h}=\theta _{t}I_t^{i,h}=\theta _{t}R_t^hs_{t-1}^h\), it follows that \(s_t^h=(1-\theta _t N)R_t^hs_{t-1}^h\). From this equation and (B.7), we obtain
This is equation (26). We must verify that \(\tilde{d}_t^{i,h}(I_t^h)>0\) and \(s_t^h>0\). Because \(R_{t}^h-\rho \ge r_{t}-\rho =A\mu -\rho >0\), from Assumption 2, we obtain \(\tilde{d}_t^{i,h}(I_t^h)>0\). Moreover, from Assumption 1, it follows that \(R_t^h\le (A-r_t \mu )/(1-\mu )=A(1+\mu )\). Therefore, we obtain \(\rho N-R_t^h\ge \rho N-A(1+\mu )>0\) from Assumption 2. Finally, we derive agent i’s consumption schedule in equilibrium. From (21), (23), and (B.6), it follows that
Taking the expectation operator \(E_t(.)\) for both sides of (B.10) yields
By applying (B.2) and (B.5) to the right-hand side of (B.11), we obtain
From (B.12), it follows that
From the transversality conditions, we have \(\lim _{s\rightarrow \infty }\beta ^s E_t\left[ (f_{t+s}^{i,h}+s_{t+s}^h)/c_{t+s}^{i,h}\right] =0\), and thus, \(f_{t}^{i,h}+s_{t}^h=\beta c_{t}^{i,h}/(1-\beta )\). This equation and (B.10) yield
This is agent i’s consumption schedule given by (27). Conversely, we verify that the transversality conditions hold. Suppose that agent i consumes following the schedule given by (B.14). Then, from (B.10) and (B.14), we obtain \(f_{t}^{i,h}+s_{t}^h=\beta c_{t}^{i,h}/(1-\beta )\). From the last equation and (B.13), it follows that
In (B.15), because \(f_{t+s}^{i,h}\ge 0\) and \(s_{t+s}^h>0\), it holds that \(\lim _{s\rightarrow \infty }\beta ^sE_t\left[ s_{t+s}^h/c_{t+s}^{i,h}\right] =0\) and \(\lim _{s\rightarrow \infty }\beta ^sE_t\left[ f_{t+s}^{i,h}/c_{t+s}^{i,h}\right] =0\). \(\square \)
1.2 Proof of Theorem 2
The second claim is obvious. For the first claim, define a function such that \(f(x)=(2\rho x-A(1+\mu ))/(x-1)\) in \(x\in (0, \infty )\). Then, it follows from Assumption 2 that \({{\mathrm{sign}}}(f^\prime (x))={{\mathrm{sign}}}(A(1+\mu )-2\rho )>0\). The first claim follows from the last inequality. \(\square \)
Rights and permissions
About this article
Cite this article
Kunieda, T., Nishimura, K. Finance and Economic Growth in a Dynamic Game. Dyn Games Appl 8, 588–600 (2018). https://doi.org/10.1007/s13235-018-0249-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13235-018-0249-7