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Private provision of public good and immiserizing growth

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Abstract

This paper develops a simple R&D driven endogenous growth model with a public good financed by private contributions. I show that a larger endowment of population or resources can be immiserizing for the economy as a whole. With a larger population, the economy grows at a higher rate but per-capita income from asset holdings falls unambiguously. Since people voluntarily contribute a part of their instantaneous income toward the public good, reduced asset income may lead to lower level of provision of the public good. This brings in the possibility of immiserizing growth where higher rate of growth is associated with lower level of welfare. I also show that the socially optimum level of public good provision may well fall below the equilibrium level and that the problem of underprovision of the public good need not be aggravated in larger economies.

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Notes

  1. For an elegant presentation of the group size effects in static setting, see Pecorino (2009b).

  2. In static setting of the model with Cobb–Douglas utility, an increase in population base will always increase the aggregate provision level of the public good. See Mondal (2013) in this line. For a complete characterization under static setting, see Bag and Mondal (forthcoming).

  3. Recent empirical evidences (see List and Peysakhovich 2011) suggests that individual’s charitable donations are more responsive to stock market upturns than downturns.

  4. See Ghosh and Karaivanov (2007) for more motivating evidence.

  5. Two more papers that are related to ours are Tamai (2010) and Philippopoulos et al. (2003). Both have modelled a dynamic economy with a public good and Cobb–Douglas preference between private and public good. In Tamai (2010) this public good is voluntarily provided while in other this is environmental quality.

  6. We omit the time subscript from now on unless that causes any confusion.

  7. In standard growth models with expanding varieties, it is usually the instantaneous aggregate expenditure that is normalised to unity (see Grossman and Helpman 1991, Chap. 3). We depart from this conventional assumption to ensure that the cost of public good production exactly matches to aggregate donation, i.e., \(L_S=S\) in Eq. (12).

  8. This can be verified from Eqs. (18) and (19). In the steady state, the economy is growing at a constant rate and the share of labour allocated to different sectors of the economy remains constant. So, \(\frac{\beta n x}{L}\), \(\frac{S}{L}\), \(g\) are all constant in the steady-state. Then Eq. (19), along with our normalization of \(w\equiv 1\), implies that \(e\) is constant in the steady state equilibrium.

  9. Note that an increase in \(L\) have both the level as well as growth effect on the real national income. To see this, write the real national income as \((1/P)(n\pi +L)=(1/P)(\frac{1-\theta }{\theta } \beta n x+L)=(1/P)(a\rho +ag+L)\) where the last equality follows from Eq. (21). The term \(ag\) refers to the aggregate saving and the remaining term \(L+a\rho \) refers to the instantaneous spending in aggregate. Since \((1/P)\) grows at rate proportional to \(g\) which is a positive function of \(L\), an increase in \(L\) raises both the level as well as the rate of growth of real national income.

  10. See the last paragraph of Sect. 2 and Footnote 9.

  11. In our model \(\rho =r\). So our choice of \(\rho \) is taken from the standard macro literature which predicts the average real return to equity to be about \(6.5~\%\) (see King et al. 1988). The elasticity of substitution parameter, \(\theta \), is taken from trade literature that predicts its value to be anything between \(0.17\) to \(0.95\) (see Broda and Weinstein 2006). Remaining parameters (\(\sigma \), \(\beta \) and \(n(0)\)) are treated as free and their values are taken accordingly so that growth rate becomes positive at \(L=100\).

  12. This is done as follows. From OECD R&D personnel data (which is available online, see OECD 2013), we found that the number of researchers and other R&D personnel in the year 2011 per thousand fully employed person is anything between \(1\) and \(21\), so that average is \(11\). In our model, the share of researcher in population is \(\frac{ag}{L}\). We then solve a simple equation \(\frac{ag}{L}=0.011\) for \(a\) with the expression of \(g\) given in Eq. (25). This solves us for \(a=66\).

  13. Looking back to the market solution of the static utility maximization problem in Eq. (7), we get (using symmetry) \(S=\frac{1-\sigma }{\sigma }npc=\frac{1-\sigma }{\sigma }n\frac{\beta }{\theta }\frac{x}{L}=\frac{1-\sigma }{\sigma }\frac{Y}{\theta L}\). The existence of a competitive sector along with a monopolistically competitive sector generates static distortion in this economy and this is captured by the term \(\theta L\).

  14. Note that these parameter values are different from the earlier one in Sect. 3. One do not need immiserizing growth to take place to compare between optimum and equilibrium provision level.

  15. In our model, when introducing growth by R&D, further market failures are introduced: as innovators do not internalize the positive externalities (knowledge spillover). An interesting question arises: how does bringing the equilibrium pace of innovation back to optimality affect private provision of public good? It can be shown that in this case the gap between equilibrium and optimal provision level of the public good may go in either way. Particularly we can show that \(\frac{S^o}{S^*}=\frac{L-ag^o}{L-ag^*}\;\frac{1+\frac{\sigma }{1-\sigma }\theta L}{1+\frac{\sigma }{1-\sigma }}\). In the specific case when \(\theta L=1\), one can note that there are no distortions from the monopolistic competition in the manufacturing sector (see Footnote 13). Then restoring optimality in the innovation rate implies that socially optimal and equilibrium level of provision of public good coincides to each other.

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Acknowledgments

I wish to thank the Editor, the Editor-in-Charge Professor Francois Paul Maniquet and two anonymous referees for their constructive comments made on the previous version of this paper. I am also grateful for the comments made by the seminar participants at Indian Statistical Institute (Delhi, Kolkata) and at Jawaharlal Nehru University where an earlier version of this paper has been presented. Financial support from Indian Institute of Technology Delhi in the form of young faculty research grant is gratefully acknowledged. The responsibility for any errors that remains is entirely mine.

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Appendix

Appendix

Proof of Lemma 1

To solve the optimal expenditure path, we write the current value Hamiltonian of the dynamic utility maximization problem as

$$\begin{aligned} H=ln(u)+\delta [w+rA-e], \end{aligned}$$

where \(ln(u)\) is the indirect utility function given in Eq. (11) and \(\delta \) is the co-state variable associated with the intertemporal budget constraint in Eq. (5). The first order conditions of this maximization problem are

$$\begin{aligned} \frac{\partial {H}}{\partial {e}}&= \frac{1}{e}-\delta =0;\\ \dot{\delta }&= \rho \delta - \frac{\partial {H}}{\partial {A}}=\delta (\rho -r). \end{aligned}$$

From the first equation we have \(\frac{\dot{\delta }}{\delta }=-\frac{\dot{e}}{{e}}\). Using this in the second equation we get

$$\begin{aligned} \frac{\dot{e}}{e}=r-\rho . \end{aligned}$$

\(\square \)

Proof of Proposition 1

First we show the derivation of Eq. (26). Using Eq. (10) and (23), the indirect utility in (11) takes the following form,

$$\begin{aligned} ln(u)=ln(L+a\rho )-ln\left( 1+L\frac{\sigma }{1-\sigma }\right) +\sigma ln\left( \frac{\sigma \theta }{(1-\sigma )\beta } \right) +\frac{\sigma (1-\theta )}{\theta }ln(n). \end{aligned}$$

Since \(n\) grows at a constant rate rate \(g\) in the steady state, we must have \(n(t)=n(0)e^{gt}\), where \(n(0)\) is the initial number of product variety. So,

$$\begin{aligned} \int _0^\infty e^{-\rho t}ln (n(t))=\frac{1}{\rho }\left( ln(n(0))+\frac{g}{\rho } \right) . \end{aligned}$$

Using Eq. (1), the expression of welfare under the steady state can be given by Eq. (26). Next, differentiating \(g\) in Eq. (25) with respect to \(L\) and plugging back this expression into Eq. (27) gives us

$$\begin{aligned} \frac{dW}{dL} = -\; \frac{1}{\rho }\frac{a\rho \frac{\sigma }{1-\sigma }-1}{(L+a\rho )(1+L\frac{\sigma }{1-\sigma }) } + \frac{\sigma (1-\theta )^2}{a\theta \rho ^2}\left[ \frac{ \left( \frac{\sigma }{1-\sigma }L\right) ^2+2\frac{\sigma }{1-\sigma }L+ a\rho \frac{\sigma }{1-\sigma } }{\left( \frac{\sigma }{1-\sigma }L+1 \right) ^2 } \right] . \end{aligned}$$

This expression is negative iff condition (28) in text is satisfied. \(\square \)

Proof of Proposition 2

Let \(S^o\) denote the socially optimal level of \(S\) and let \(S^*\) denote its market equilibrium given by Eq. (24). Define the gap between \(S^o\) and \(S^*\) as

$$\begin{aligned} S^o-S^*=\frac{1-\sigma }{\sigma }\;\left[ \frac{a\rho \theta }{1-\theta }- \frac{L+a\rho }{L+\frac{1-\sigma }{\sigma }} \right] . \end{aligned}$$

Note that in the special case when \(a\rho =\frac{1-\sigma }{\sigma }\) and \(\sigma =\theta \), one obtains \(S^o=S^*\). There are no distortions in this case. Part (i) of proposition 2 takes place under the following parametric restriction:

$$\begin{aligned} \theta < min\left\{ \frac{L+a\rho }{L+a\rho +a\rho (L+\frac{1-\sigma }{\sigma })}, \; \frac{L-\frac{a\rho (1-\sigma )}{\sigma L}}{L+a\rho }\right\} . \end{aligned}$$

The first part of the above inequality guarantees that \(S^o < S^*\). This implies that the public good is overprovided in the laissez-faire economy. The second part guarantees that the rate of growth is positive [see Eq. (25)]. Also we have already seen (in Sect. 2) that \(S^*\) can be an increasing function of \(L\). If we start from a situation where public good is underprovided (i.e., \(S^o>S^*\)), the extent of underprovision would decrease as \(L\) grows larger. This proves part (ii) of Proposition 2. \(\square \)

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Mondal, D. Private provision of public good and immiserizing growth. Soc Choice Welf 45, 29–49 (2015). https://doi.org/10.1007/s00355-014-0842-7

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