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Youth Dependency, Technological Progress, and Economic Development

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Part of the book series: Population Economics ((POPULATION))

Abstract

In this chapter, assuming that R&D activities need more resources in order to sufficiently improve the quality of intermediate goods to be combined with higher labor abilities in production, we show that a negative relationship between total-factor-productivity (TFP) growth and youth dependency, demonstrated by Kögel (J Dev Econ 76(1):147–173, 2005) using cross-country data, does not necessarily obtain over the development process, especially in earlier stages of economic development.

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Notes

  1. 1.

    We distinguish TFP growth from increases in effective labor as in Kögel (2005), although it is sometimes said that investment in human capital is a major source of growth in TFP as unexplained increases in income. For example, see Schultz (1961) for such a view.

  2. 2.

    As in Ren and Rangazas (2003), the “R&D” here could be no more than quite informal family-based production especially at the earlier stages of development, for example, trial-and-error experiments with new variations of seeds, fertilizers, or irrigation techniques.

  3. 3.

    Kögel (2005) assumed a wage function of the Mincer (1974) type, instead of the human capital production function of the Lucas (1988) type.

  4. 4.

    This specification of the utility function is used in many papers in the growth literature, for example, in Galor and Weil (1996, 2000).

  5. 5.

    In this case the maximization problem for the individual can be formalized as maximizing the lifetime utility \( \ln {\overline{c}}^1+\rho \ln {c}_{t+1}^2+\varepsilon \ln {n}_t+\beta \ln {h}_t \) subject to the constraints \( {m}_t-{\overline{c}}^1={m}_t z{n}_t+{a}_{t+1} \) and (11.3). In this case, we can see \( d{n}_t/ d{m}_t>0 \) from the solution. For simplicity, we assume that the subsistence level of the third-period-of-life consumption is sufficiently low.

  6. 6.

    The condition can be obtained from the second-order conditions for utility maximization.

  7. 7.

    Galor and Moav (2006) pointed out that since capitalists benefit from the aggregate accumulation of human capital in the economy, they demand government intervention in the provision of education, due to capital-skill complementarity in production and borrowing constraints. For the discussion, see also Easterlin (1981). We do not consider here public education.

  8. 8.

    In contrast, Galor and Weil (2000) assumed that technological progress is formalized as an increasing function of the level of education period-t workers received and the population size of their generation.

  9. 9.

    Ren and Rangazas (2003) assumed that each child who receives a blueprint from his parent creates a new blueprint solely with their resources input during working periods, i.e., when engaging in final-goods production. The difference of our formulation from that of Ren and Rangazas (2003) is the assumption that the next generation contributes to R&D activities to develop new innovations based on the blueprint of the parental generation and, in doing so, develops their own original ideas and makes up new blueprints before entering the workforce. Innovators such as W. H. Gates and M. Dell made up their ideas of an enterprise when they were at school, and dropped out of school in order to focus full-time on their business (see, for example, http://en.wikipedia.org/wiki/Bill_Gates and http://en.wikipedia.org/wiki/Dell).

  10. 10.

    Furthermore, we may consider that higher human capital accumulation induces children to spend more time and energy on learning rather than on R&D activities.

  11. 11.

    Even if \( \lambda >0 \), our qualitative argument will hold without essentially altering it.

  12. 12.

    For the proof, see Appendix 1.2.

  13. 13.

    We can see that the growth rate of per worker potential income under the constraint of a subsistence consumption level is the same as that in the absence of the constraint. See footnote 5.

  14. 14.

    Lee (1997) showed that the income elasticity of fertility was positive for many pre-industrialized economies.

  15. 15.

    We can not rule out the possibility \( 1+{g}_t<1 \) near \( {m}_t={\overline{c}}^1 \).

  16. 16.

    As technological advances proceed, the demand for effective labor in the final goods sector will be greater. Since the number of workers declines, this can be seen as the demand for higher human capital.

  17. 17.

    We do not consider the intergenerational externality in human capital accumulation as in Lucas (1988). In the presence of such externality, the per worker growth rate can continue to grow without an upper limit.

  18. 18.

    Galor (2005) suggested the possibility of natural selection in human beings and human society. See also Galor and Moav (2002). We can also see that a similar natural selection process is at work. The greater the strength of the preference for the quality of children, β, other conditions being equal, the higher the possibility that the economy will shift from the situation of a subsistence consumption level to one of sustainable growth as in Fig. 11.1.

  19. 19.

    Galor (2005) pointed out that across European countries that have experienced a demographic transition in the same time period, the per capita income growth rates were similar despite large differences in the levels, and concludes that the theory, for example by Becker (1981), which says that the demographic transition was triggered by the rise in per capita income appears counter-factual. However, the critical level (\( \tilde{m}=\varepsilon \theta /\beta \eta z \) in our notation) may vary among countries, while Knodel (1977) among others suggested the importance of sociological factors.

  20. 20.

    When strict inequality holds, the species approaches the end as long as the parameters do not change.

  21. 21.

    Galor (2005) suggested that fluctuations in the population growth rate and the wage rate showed a Malthusian pattern until the end of the eighteenth century.

  22. 22.

    Other cases can be considered in a similar way with some appropriate alterations.

  23. 23.

    For the proof, see Appendix 1.2.

  24. 24.

    A similar relation between the fertility rate and per capita individual income has been derived by Tabata (2003). The mechanism resulting in the inverted U-shape is essentially the same as ours, while the constraint of the subsistence level is on consumption during retirement in Tabata (2003). The inverted U-shaped fertility dynamic is consistent with the historical data (see, for example, Dyson and Murphy 1985; Dahan and Tsiddon 1998; Galor 2005).

  25. 25.

    For studies which endogenize the mortality rate by assuming that the survival probability of individuals depends on health expenditures, see, for example, Chakraborty (2004).

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Appendix 1

Appendix 1

1.1 1.1 Derivations of (11.411.6)

The problem of individuals is:

$$ Max\;{u}_t= \ln {c}_t^1+\rho \ln {c}_{t+1}^2+\varepsilon \ln {n}_t+\beta \eta \ln \left({e}_t+\theta \right)+ \ln \mu $$
(11.23)
$$ \mathrm{s}.\mathrm{t}.\kern0.36em {m}_t\left(1- z{n}_t\right)-{c}_t^1-\left({c}_{t+1}^2/{r}_{t+1}\right)-{n}_t{e}_t=0\kern0.24em \mathrm{and} $$
(11.24)
$$ {c}_t^1\ge {\overline{c}}^1. $$
(11.25)

Letting λ t and γ t be the Lagrange multipliers attached to (11.24) and (11.25), respectively, we obtain the first-order conditions for utility maximization as:

$$ 1/{c}_t^1-{\lambda}_t+{\gamma}_t=0 $$
(11.26a)
$$ \rho /{c}_{t+1}^2-{\lambda}_t/{r}_{t+1}=0 $$
(11.26b)
$$ \varepsilon /{n}_t-{\lambda}_t\left({m}_t z+{e}_t\right)=0 $$
(11.26c)
$$ \beta \eta /\left({e}_t+\theta \right)-{\lambda}_t{n}_t=0. $$
(11.26d)

We have two cases, (i) \( {\gamma}_t=0 \) and \( {c}_t^1\ge {\overline{c}}^1 \) and (ii) \( {\gamma}_t\ge 0 \) and \( {c}_t^1={\overline{c}}^1 \). We examine these two cases in turn.

Case (i)

From (11.26a11.26d) and letting \( {\gamma}_t=0 \), we obtain

$$ 1/{\lambda}_t={m}_t/\left(1+\rho +\varepsilon \right)={c}_t^1. $$
(11.27)

Inserting (11.27) into (11.26b), it follows that

$$ {c}_{t+1}^2/{r}_{t+1}=\left[\rho /\left(1+\rho +\varepsilon \right)\right]{m}_t={a}_{t+1}. $$
(11.4b)

Assuming interior solutions and inserting (11.27) into (11.26c, 11.26d), we have

$$ \frac{\varepsilon}{1+\rho +\varepsilon}{m}_t={n}_t\left({m}_t z+{e}_t\right)\kern0.24em \mathrm{and} $$
(11.28a)
$$ \frac{\beta \eta}{1+\rho \varepsilon}{m}_t={n}_t\left({e}_t+\theta \right). $$
(11.28b)

Eliminating e t from (11.28a, 11.28b), we obtain

$$ {n}_t=\frac{\varepsilon -\beta \eta}{1+\rho +\varepsilon}\frac{m_t}{m_t z-\theta}. $$
(11.6c)

Using (11.6) and (11.28a) we obtain

$$ {e}_t=\frac{\beta \eta z{m}_t-\varepsilon \theta}{\varepsilon -\beta \eta}. $$
(11.5b)

On the other hand, if \( \beta \eta z{m}_t-\varepsilon \theta \le 0 \) or if \( {m}_t\le \varepsilon \theta /\beta \eta z\left[\equiv \tilde{m}\right] \), we have a corner solution for education, i.e., \( {e}_t=0 \). In this case, by setting \( {e}_t=0 \) in (11.28a), we obtain

$$ {n}_t=\frac{\varepsilon}{1+\rho +\varepsilon}\frac{1}{z}. $$
(11.6b)

Case (ii)

Setting \( {c}_t^1={\overline{c}}^1 \) in (11.26a) we have

$$ {\gamma}_t={\lambda}_t-1/{\overline{c}}^1. $$
(11.29a)

From (11.26a, 11.26b) and (11.24) with \( {c}_t^1={\overline{c}}^1 \), we obtain

$$ 1/{\lambda}_t=\left({m}_t-{\overline{c}}^1\right)/\left(\rho +\varepsilon \right). $$
(11.29b)

From (11.29a, 11.29b), it follows that

$$ {\gamma}_t=\left[\left(1+\rho +\varepsilon \right){\overline{c}}^1-{m}_t\right]/\left[\left({m}_t-{\overline{c}}^1\right){\overline{c}}^1\right]>0, $$
(11.29c)

where

$$ d{\gamma}_t/ d{m}_t<0\kern0.24em \mathrm{and} $$
(11.29d)
$$ {\gamma}_t=0\kern0.24em \mathrm{when}\kern0.24em {m}_t=\left(1+\rho +\varepsilon \right){\overline{c}}^1\left[\equiv \overline{m}\right]. $$
(11.29e)

Therefore, we have

$$ {c}_t^1={\overline{c}}^1\kern0.24em \mathrm{if}\kern0.24em {\overline{c}}^1\le {m}_t<\overline{m}\left[=\left(1+\rho +\varepsilon \right){\overline{c}}^1\right]. $$
(11.30)

Inserting (11.29b) into (11.26b), we have

$$ \frac{\rho}{\rho +\varepsilon}\left({m}_t-{\overline{c}}^1\right)={c}_{t+1}^2/{r}_{t+1}={a}_{t+1}. $$
(11.4a)

Assuming interior solutions for n t and e t , and using (11.26c, 11.26d) and (11.29b), we obtain

$$ {n}_t=\frac{\varepsilon -\beta \eta}{\rho +\varepsilon}\frac{m_t-{\overline{c}}^1}{m_t z-\theta}\kern0.24em \mathrm{and} $$
(11.31a)
$$ {e}_t=\frac{\beta \eta z{m}_t-\varepsilon \theta}{\varepsilon -\beta \eta}. $$
(11.31b)

As in the previous case, if \( {m}_t\le \tilde{m} \), we have a corner solution for education, i.e., \( {e}_t=0 \). In this case, by setting \( {e}_t=0 \) in (11.26c) and using (11.29b), we obtain

$$ {n}_t=\frac{\varepsilon}{1+\rho +\varepsilon}\frac{1}{z}\frac{m_t-{\overline{c}}^1}{m_t}. $$
(11.6a)

In this chapter we assume that \( \left(1+\rho +\varepsilon \right){\overline{c}}^1\left[\equiv \overline{m}\right]<\varepsilon \theta /\beta \eta z\left[=\tilde{m}\right] \). This assumption will be satisfied when per child rearing time, z, is sufficiently small.

1.2 1.2 Proof of Proposition 11.1

From (11.1) and (11.5) and making use of (11.21), we have \( \frac{A_{t+2}}{A_{t+1}}=\widehat{\delta}{\left(\frac{m_{t+1} z-\theta}{m_{t+1}}\right)}^{\phi}/{\left(\frac{m_{t+1} z-\theta}{m_t z-\theta}\right)}^{\eta} \) where \( {m}_{t+1}=\widehat{\delta}{\left(\frac{m_t z-\theta}{m_t}\right)}^{\phi}{m}_t \) from (11.20). Differentiating it with respect to m t , we obtain

$$ \begin{array}{l}\frac{d}{d{ m}_t}\left(\frac{A_{t+2}}{A_{t+1}}\right)=\left(\frac{A_{t+2}}{A_{t+1}}\right)\frac{1}{m_{t+1} z-\theta}\\ {}\times \left\{\left[\frac{\theta \phi}{m_{t+1}}\left(1+\frac{\theta \phi}{m_t z-\theta}\right)-\frac{\eta z\theta \phi}{m_t z-\theta}\right]\frac{m_{t+1}}{m_t}+\eta z\left(\frac{m_{t+1} z-\theta}{m_t z-\theta}-\frac{m_{t+1}}{m_t}\right)\right\}.\end{array} $$
(11.32)

Since the coefficient of \( {m}_{t+1}/{m}_t \) in the braces on the right-hand side of (11.32) approaches zero when m t grows infinitely, the sign of \( d\left({A}_{t+2}/{A}_{t+1}\right)/ d{m}_t \) depends on that of the last term in the braces. Thus, since \( \frac{m_{t+1} z-\theta}{m_t z-\theta}-\frac{m_{t+1}}{m_t}=\frac{\theta \left({m}_{t+1}-{m}_t\right)}{m_t\left({m}_t z-\theta \right)}>0 \), we can see that the TFP growth rate is increasing in m t , i.e., \( d\left({A}_{t+2}/{A}_{t+1}\right)/ d{m}_t>0 \) for sufficiently great m t . Therefore, when \( {A}_{t+1}/{A}_t\left|{}_{m_t=\tilde{m}}\right.\ge {A}_{t+1}/{A}_t\left|{}_{t\to \infty}\right. \), the TFP growth rate must decline at the earlier stages just after the time when parents begin to spend on their children’s education. Since \( {h}_{t+1}/{h}_t \) changes unsystematically from 1 to \( {\left[1+\frac{\beta \eta z{m}_t-\varepsilon \theta}{\theta \left(\varepsilon -\beta \eta \right)}\right]}^{\eta} \) at the minimum level of per worker potential income that makes educational expenditures positive, \( {A}_{t+1}/{A}_t \) will change correspondingly.

When \( {A}_{t+1}/{A}_t\left|{}_{m_t=\tilde{m}}\right.<{A}_{t+1}/{A}_t\left|{}_{t\to \infty}\right. \), the TFP growth rate may not have the U-shaped dynamics, and may increase monotonically as per worker potential income grows. For exposition, assuming initially that \( {A}_{t+1}/{A}_t=\left({m}_{t+1}/{m}_t\right) \) \( =\widehat{\delta}{\left[\left(\varepsilon -\beta \eta \right) z/\varepsilon \right]}^{\phi} \) (>1) at \( {m}_t=\tilde{m} \), we consider a marginal increase in m t . The increased potential income induces parents to begin to invest in their children’s education, and the growth rate of per worker income becomes higher. Then we have

$$ \frac{d}{d{ m}_t}\left(\frac{A_{t+1}}{A_t}\right)\left|{}_{m_t=\tilde{m}}\right.=\left(\frac{m_{t+1}}{m_t}\right)\frac{\beta {\eta}^2 z}{\varepsilon -\beta \eta}\left(\frac{\beta \phi}{\varepsilon}-1\right). $$
(11.33)

Therefore, we can see that, if \( \phi <\left(\varepsilon /\beta \right) \), the TFP growth rate declines when educational expenditures become positive. In this case the TFP growth rate will show the U-shape dynamics. However, when \( \phi \ge \left(\varepsilon /\beta \right) \), the TFP growth rate will increase as per worker potential income grows.☐

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Yakita, A. (2017). Youth Dependency, Technological Progress, and Economic Development. In: Population Aging, Fertility and Social Security. Population Economics. Springer, Cham. https://doi.org/10.1007/978-3-319-47644-5_11

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