1,721,226 research outputs found
INNOVATION, FORMAL VERSUS INFORMAL R&D AND FIRM SIZE. SOME EVIDENCE FROM ITALIAN MANUFACTURING FIRMS
No full textEMBODIED TECHNOLOGICAL CHANGE IN SUPPLIER DOMINATED FIRMS. THE CASE OF ITALIAN TRADITIONAL INDUSTRIES
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Can social capital affect subjective poverty in Europe? An empirical analysis based on a Generalized Ordered Logit model
No full textIn a previous exploratory analysis of the 2009 EU-SILC survey and the Eurostat statistics database, the authors tried to reveal to what extent self-perceived poverty in Europe is associated with specific household socioeconomic characteristics and particular aspects of household/community social capital endowment, by means of a multiple correspondence analysis. Such an analysis has appeared to be a useful tool to disclose the primary risk factors of family poverty status and, in particular, it showed that self-perceived poverty (measured by the proxy variable "ability to make ends meet") is strongly associated not only with household socioeconomic characteristics, but also with the indicators commonly recognized as elementary proxies of household/community social capital endowment. The aim of the present paper is to capture the effect of social capital on household subjective poverty. More precisely, a generalized ordered logit model is estimated, in order to highlight to what extent: a) self-perception of poverty in Europe is affected by the respondent/household socioeconomic characteristics and by household/community social capital endowment; b) probabilities corresponding to response categories vary according to different levels of predictors; c) differences among European countries in terms of self-perception of poverty may be related to different levels of social capital endowment. The results are very encouraging and confirm that social capital could be used by local and central governments as a further key function, in addition to the traditional socioeconomic ones for planning poverty reduction policies
Mitigating the labor displacing effects of automation through a robot tax: evidence from a survey experiment
Full text linkWe examine how taxation might influence the relationship between automation and employment dynamics. The results obtained through a survey experiment with 2,000 entrepreneurs residing in the U.S. show that the implementation of a robot tax leads to a significant decrease in the inclination of entrepreneurs to reduce workforce levels. Conversely, an equal but negative robot tax, functioning as a reward for automation, motivates entrepreneurs to downsize their workforce. Nevertheless, the impact of the former outweighs that of the latter. Among participants who place higher value on automation we observe a 0.174 increase in the log-odds of reducing the workforce and a 0.312 decrease in the log-odds of reducing automation equipment. These changes are statistically significant at the 1% level. With respect to possible gender effects, male entrepreneurs are found to have a greater likelihood of firing employees, regardless of the treatment
The KSTE + I approach and the advent of AI technologies: evidence from the European regions
Full text linkIn this paper, we integrate insights from the Knowledge Spillover Theory of Entrepreneurship and Innovation (KSTE + I) with Schumpeter's concept of the entrepreneur as a "factor of disequilibrium". Specifically, we examine whether there is a correlation between the level of Artificial Intelligence (AI) knowledge available in a region and the number of newly established innovative ventures, defined as startups that file patents in any technological field within the same year of their foundation. Empirically, we test for 287 Nuts-2 European regions whether the local AI stock of knowledge exerts an enabling role in fostering innovative entry within AI-related local industries (AI technologies as focused enablers) and within non-AI-related local industries (AI technologies as generalised enablers). Results from fixed-effect regressions using Poisson and Negative Binomial models - while controlling for a range of concurrent drivers of entrepreneurship - indicate that the local stock of AI knowledge fosters the proliferation of innovative startups within AI-related local industries. This finding supports both the KSTE + I framework and the enabling role of AI technologies; however, it does not support the notion of AI technologies as generalised enablers
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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