2015
DOI: 10.1086/680861
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Product Proliferation, Population, and Economic Growth

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Cited by 35 publications
(38 citation statements)
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“…The population growth variable shows distinct outcomes depending on countries' economic development group: no statistically significant impact for DC, negative and significant impact for EE and positive and significant impact for EE. It seems that for these latter countries, a rapid population growth is perverse (Bucci, 2015): dilutes the per capita capital stock (the capital shallowing effect); results in a high youth dependency ratio, which reduces the saving rate (the age dependency effect); and/or diverts resources away from more productive, growth-oriented uses (the investment diversion effect). In contrast, for the LDC a fast growing population can induce more intense technological advancements, which stimulate economic growth in the long run (Kremer, 1993).…”
Section: Resultsmentioning
confidence: 99%
“…The population growth variable shows distinct outcomes depending on countries' economic development group: no statistically significant impact for DC, negative and significant impact for EE and positive and significant impact for EE. It seems that for these latter countries, a rapid population growth is perverse (Bucci, 2015): dilutes the per capita capital stock (the capital shallowing effect); results in a high youth dependency ratio, which reduces the saving rate (the age dependency effect); and/or diverts resources away from more productive, growth-oriented uses (the investment diversion effect). In contrast, for the LDC a fast growing population can induce more intense technological advancements, which stimulate economic growth in the long run (Kremer, 1993).…”
Section: Resultsmentioning
confidence: 99%
“…where L A t is the aggregate amount of labor allocated to R&D activities, L t is a scale variable (measure of market dimension) proportional to the size of total labor force in the economy, 7 Complexity costs are considered alternatively in the final good production such as in Bucci (2015) and Bucci et al (2017). Some other articles consider production-complexity related benefits (i.e., as a growth enhancing feature) in the economy (e.g., Hidalgo andHausman, 2009, andAfonso andMagalhães, 2017).…”
mentioning
confidence: 99%
“…Equation (14) says that at equilibrium total supply (the RHS) and total demand (the LHS) of labor must be equal. In the model, labor is a homogeneous factor-input, i.e.…”
Section: The Labor Marketmentioning
confidence: 99%
“…Instead, for γ y to be positive, Φ needs to be strictly greater than zero, which implies that, in principle, we would restrict our attention to the case where 0 < β < m−1 m < 1. In order to explain the economic rationale behind this condition, notice that an increase in the markup leads to a decrease in the elasticity of substitution 14 In the on-line Appendix A (not intended for publication), we also compute the BGP allocations of labor across the final output, intermediate and research sectors and check for the respect of the transversality condition. 15 While m and β do not affect γ N in the BGP equilibrium, they still impact: (i) on the market value of any generic idea (V N , equation (9)), through the instantaneous profit of intermediate firms (π i , equation 6); (ii) on the wage (w N , equation (8)) accruing to one unit of research labor-input, through V N .…”
Section: Proof See On-line Appendix Amentioning
confidence: 99%
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