TY  - THES
T1  - Essays on demographic change and R&D-based economic growth
A1  - Tscheuschner,Paul
Y1  - 2020/07/22
N2  - This dissertation analyzes the economic growth effects of demographic change embedded in a framework of endogenous R&D. Substantial changes in fertility and longevity are the two main demographic features that all industrialized countries have experienced during the twentieth century and are still experiencing until today. Although the individual gains of higher life expectancy and better education, initiated by a quantity-quality tradeoff, are huge, there exist concerns about the macroeconomic effects. To improve the understanding about the aforementioned relationships, this work extends the existing literature on the growth effects of population aging by 1) introducing exogenous longevity into a growth framework with vertical innovations; 2) by endogenizing life expectancy in a growth framework with horizontal innovations; and 3) by examining the growth effects of basic scientific knowledge over the very long run.
Chapter two contains the first paper titled “Longevity-induced Vertical Innovation and the Tradeoff Between Life and Growth”, which is joint work with Annarita Baldanzi and Klaus Prettner. In this paper, the positive effect of a longer retirement period on individual savings is utilized. A higher exogenous probability to survive to old age raises savings, placing a downward pressure on the market interest rate. On the production side, a lower interest rate increases the present value of holding a patent, which, in turn, makes R&D more profitable. As a result, R&D employment increases, leading to a higher frequency of quality improving ideas and, with it, faster economic growth. It is shown that the relationship between life expectancy and economic growth is strictly positive. In a welfare analysis, the utility gains of living longer are disentangled from the longevity-induced utility gains of higher consumption. The analysis concludes that the direct welfare gains of higher life expectancy, usually, outweigh the indirect welfare gains of faster economic growth.
Chapter three contains a single-authored paper and is titled “Endogenous Life Expectancy and R&D-based Economic Growth”. As the title suggests, life expectancy is endogenized and increases in the public resources devoted toward health. Again, the longevity-saving-channel is present. Additionally, a quantity-quality tradeoff is introduced, such that parents have to decide on the number of children to have and on the childrens level of education. Besides the positive saving effect, life expectancy impacts positively on the labor force participation rate and negatively on the fertility rate. The reason is that adults need to work more (at the expense of having fewer children), to compensate for a prolonged retirement period. The feedback effects with production, characterized by horizontal innovation, are then analyzed in a calibrated version of the model. Using U.S. data, the model suggests that the overall effect of life expectancy on economic growth is positive and amounts to 11.9 % of the increases in the real GDP p.c. over the period 1960-2017. From a welfare perspective, the results indicate that the growth-maximizing size of the health care sector might lie beyond what is observed in most industrialized countries, nowadays. The finding that the size of the health care sector that maximizes life expectancy is substantially larger than the growth-maximizing size supports the view to not only consider the growth effects of health care.
Chapter four contains the third paper which is co-authored with Klaus Prettner and is titled “The Scientific Revolution and Its Role in the Transition to Sustained Economic Growth”. Basic scientific knowledge is introduced as a necessary input in applied R&D and increases in the number of tinkerers in the economy and in their education. For low levels of development, fertility is high and educational investments are zero. Once income surpasses a certain threshold, education turns positive. Together with the consequent fertility transition, this marks the takeoff to sustained economic growth. It is shown that the growth rate of as well as the access to basic scientific knowledge is crucial in determining the timing and the magnitude of the takeoff. For low growth rates and low access, the takeoff is delayed by up to one generation because applied R&D takes longer to become profitable. In the extreme case of zero basic scientific knowledge, no takeoff might occur at all. The results improve the understanding of economic growth processes over the very long run and provide one possible explanation why some regions experienced the takeoff to sustained economic growth earlier than others.
KW  - Wirtschaftswachstum
KW  - Demographie
KW  - Unified Growth Theory
CY  - Hohenheim
PB  - Kommunikations-, Informations- und Medienzentrum der Universität Hohenheim
AD  - Garbenstr. 15, 70593 Stuttgart
UR  - http://opus.uni-hohenheim.de/volltexte/2020/1777
ER  -