Labour Markets and Demographic Change 2009
DOI: 10.1007/978-3-531-91478-7_7
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Age, Human Capital and the Geography of Innovation

Abstract: Age, human capital and the geography of innovation Abstract An aging labor force is often associated with a decreasing innovative performance on aggregate, firm or individual level. Using a regional knowledge production function to explain patenting activity in German districts, we propose to include the effect of age in a twofold specification: First, we account indirectly for age by including the aggregate, age-heterogeneous human capital available in each district and estimating its effect on patenting perf… Show more

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Cited by 12 publications
(10 citation statements)
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“…That is, a high level of technological capability impedes explorative innovation. Frosch (2007) has established that the share of younger academic workers has a significant positive effect on patenting output (significance levels between 1% and 5%). Schneider (2007) has studied the trend of an ageing workforce on the innovation capacities by using an empirical approach based on an ordered-logit regression model.…”
Section: Review Of Literaturementioning
confidence: 98%
“…That is, a high level of technological capability impedes explorative innovation. Frosch (2007) has established that the share of younger academic workers has a significant positive effect on patenting output (significance levels between 1% and 5%). Schneider (2007) has studied the trend of an ageing workforce on the innovation capacities by using an empirical approach based on an ordered-logit regression model.…”
Section: Review Of Literaturementioning
confidence: 98%
“…According to the theory of human capital, individuals become less innovative with age (Sidibe, 2005;Frosch & Tivig, 2007), so young heads of households are more likely to acquire new knowledge and learn new techniques (Sidibe, 2005). Age may also reflect farmer debt and asset position, with older farmers having lower debt-asset ratios, implying that older farmers will opt away from new techniques (Chambers & Foster, 1983).…”
Section: Factors That Affect Farmer Organisation Membershipmentioning
confidence: 98%
“…The percentage of the population aged 15–24 is included to control for regional demographic composition, the relevance of which to innovation has been verified by empirical examination (e.g., Frosch & Tivig, ; Poot, ). GDP per capita is considered to control for a region's relative wealth and overall level of socioeconomic development.…”
Section: Model and Variablesmentioning
confidence: 99%