KNOWLEDGE SPILLOVER AND CITY INTERCONNECTION THE RELATIONSHIP BETWEEN
KNOWLEDGE SPILLOVER AND CITY INTERCONNECTION: THE RELATIONSHIP BETWEEN STUDENTS’ MOBILITY AND HIGH-TECH FIRMS IN ITALIAN CITIES Filippo Marchesani, Francesca Masciarelli A. I. S. Re XLI Conferenza Scientifica Annuale: Regioni tra sfide e opportunità inattese
Theoretical Framework (1/2) A. I. S. Re • Within economic debates, explanations regarding the regional development highlight the role played by knowledge generation, knowledge inputs and knowledge spillovers in location processes. (A. Faggian & Mc. Cann, 2009; Qian et al. , 2019). • These interactions affect the local development in terms of knowledge exchange, industrial clusters, R&D investments and innovation. (Caragliu & Nijkamp, 2016; Iammarino & Mc. Cann, 2006; Abramovsky & Simpson, 2011; Capello & Faggian, 2005)
Theoretical Framework (2/2) A. I. S. Re • Across-region students ’mobility is crucial to study because the human capital of new generations is one of the most important areas for exploration and development in advanced economies. (Qian et al. , 2019) • Universities play a key role as producers of creative and high human capital that is embodied in their graduates and their staff and that impact on regional economic growth. (Richard Florida, 1995; Lee, Florida, & Gates, 2010; Sedlacek, 2013)
Research Questions (1/2): A. I. S. Re • This work aims to comprehend how much the attractiveness of the city, measured by the high-tech firms number, is capable of attracting human capital. RQ 1: How the presences of high-tech firms helps the attraction of human capital in terms of university students?
Research Questions (2/2): A. I. S. Re • Another important aspect of the development of the territory is the ability to attract and train young entrepreneurs (Chigunta, 2002). Youth entrepreneurship impacts the city attraction in terms of new opportunities and job satisfaction, and we hypothesize the following: RQ: How existence of a large number of youth entrepreneurs in the cities impact on the relationship between high-tech firms and students’ mobility?
Methodology A. I. S. Re • Spatial panel-data method has been used to verify the research framework and hypotheses. • Sample: 20 Italian cities with the highest number of university students 10 years period (2009 – 2019) Students Mobility (National Student Clearinghouse) Firms (Business Register ASIA, Chamber of Commerce and ISTAT)
Variables: • Dependent Variable A. I. S. Re Students flow inbound • Independent Variables: New High-Firms; Youth Entrepreneurship ____________________________________________ • Control Variables: Employment: GDP: Migration: New. Firms: Total. Students Workers in the city Gross Domestic Product Migration flow from other cities New firms in the city Total students in the city
Operationalization of the variables A. I. S. Re
Preliminary Results (1/2) A. I. S. Re
Preliminary Results (2/2) A. I. S. Re • The knowledge spillover interconnection between cities is tested by linking knowledge within the spatial context of the city, evaluated by students 'mobility, to the number of high-tech firms • The preliminary results confirm a relationship between city attraction in terms of students’ mobility and high-tech firms • Furthermore, the presence young entrepreneurship in the city itself influences this relationship.
Practical implications A. I. S. Re • Higher level of investment in the high-tech sector leads to a higher level of city attractiveness. Therefore, investing in innovation, R&D or knowledge creation may contribute to city development. (Abramovsky and Simpson 2011, Capello and Faggian 2005). • The second implication is for cities in terms of exploring the role that cities’ attractiveness plays in supporting the cities development (Richard Florida 2019; Lee, Florida, and Gates 2010)
Research Limits A. I. S. Re • We focus our research sample on 20 Italian cities with the highest number of university students during a 10 -year period (2009 -2019). • We have focused solely on students' mobility in terms of knowledge attraction. We aim to improve this sample in terms of knowledge flow with new variables such as graduate students, workers, and researchers
THANKS YOU FOR YOUR ATTENTION Filippo Marchesani Ph. D Accounting Management and Business Economics – University of University “G. d’Annunzio” Chieti – Pescara e-mail: filippo. marchesani@unich. it Francesca Masciarelli Associate professor of Management – University of “G. d’Annunzio” Chieti – Pescara e-mail: f. masciarelli@unich. it A. I. S. Re XLI Conferenza Scientifica Annuale: Regioni tra sfide e opportunità inattese
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