Browsing by Subject "Demographic change"

Now showing 1 - 4 of 4

Automation and demographic change
(2017) Abeliansky, Ana; Prettner, Klaus
We analyze the effects of declining population growth on the adoption of automation technology. A standard theoretical framework of the accumulation of traditional physical capital and of automation capital predicts that countries with a lower population growth rate are the ones that innovate and/or adopt new automation technologies faster. We test the theoretical prediction by means of panel data for 60 countries over the time span from 1993 to 2013. Regression estimates provide empirical support for the theoretical prediction and suggest that a 1% increase in population growth is associated with approximately a 2% reduction in the growth rate of robot density. Our results are robust to the inclusion of standard control variables, the use of different estimation methods, the consideration of a dynamic framework with the lagged dependent variable as regressor, and changing the measurement of the stock of robots.
Demographic change and regional convergence in Canada
(2016) Prettner, Klaus; Kufenko, Vadim; Geloso, Vincent
We examine the role of demographic change for regional convergence in living standards in Canada. Due to economies of scale within a family, decreasing household size has an impact on convergence in living standards, while per capita income convergence remains unaffected. We find that, by relying on per capita income, the dispersion of living standards between Canadian regions is overestimated prior to the 1990s and underestimated thereafter. As a consequence, relying on income per capita results in overestimating the speed of convergence in living standards.
Rising longevity, increasing the retirement age, and the consequences for knowledge-based long-run growth
(2020) Prettner, Klaus; Kuhn, Michael
We assess the long-run growth effects of rising longevity and increasing the retirement age when growth is driven by purposeful research and development. In contrast to economies in which growth depends on learning-by-doing spillovers, raising the retirement age fosters economic growth. How economic growth changes in response to rising life expectancy depends on the retirement response. Employing numerical analysis we find that the requirement for experiencing a growth stimulus from rising longevity is fulfilled for the United States, nearly met for the average OECD economy, but missed by the EU and by Japan.
Smarte Städtebauliche Objekte für eine adaptive Stadt : ein Verfahren der Künstlichen Intelligenz zur Erhöhung der Wohlfahrt
(2021) Hubl, Marvin; Kirn, Stefan
The objective of the thesis is the advancement of urban areas with intelligent information technology to enhance urban life. In doing so, social inclusion of people with motor impairments is of particular interest. At this, an important group is the set of older adults. The aspired advancement aims at enabling self-determined participation in urban life, and hence in social life, up until old age: Participation in social life essentially depends on the opportunities for self-determined exertion of outdoor activities. Motor impairments in old age lead to a perceived significant reduction of safety in urban areas and hence concerned people are worried of using the urban area. To counteract the resulting avoidance of outdoor activities the thesis pursues the approach to transform urban objects by means of technologies of the Internet of Things into novel so-called Smart Urban Objects that actively provide support in outdoor activities. Smart Urban Objects are equipped with sensors, actuators and information processing capabilities and can adapt to individual requirements of pedestrians. Due to age-correlated motor impairments, there are for example special requirements for seating. Besides the information technological transformation of single urban objects, there are furthermore important requirements for networked Smart Urban Objects. By means of intelligently coordinated, goal-oriented availability of the supportive functionalities of single Smart Urban Objects, the urban area as overall system is enabled for adaptivity with respect to pedestrians requirements. The thesis studies the conception for an adaptive city with a safety-engineering approach at the example of smart seating and develops a method for an intelligent coordination of the networked Smart Urban Objects. For an accurate allocation of single smart seats as public objects with respect to individual requirements a welfare criterion is applied which shall avoid unfairness. Using methods of Artificial Intelligence the thesis develops a heuristic procedure for finding a solution according to the welfare criterion. This implements aspects of the theory of justice by John Rawls that underlie the welfare criterion for the example of the urban area. A scenario-based simulation substantiates that the developed solution approach can effectively enhance the safety-oriented welfare in the urban area.