H2020Индивидуална стипендия2019–2022

GOTaM Cities · Geography Of Talents in Metropolitan Cities

„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“

Период: 2019-09-01 → 2022-03-02
Финансиране от ЕС: 180 277 €
Участници: 1
Схема: MSCA-IF

Линиите свързват координатора с партньорите.

Накратко на български

Висококвалифицираната миграция и влиянието ѝ върху технологичното развитие на градовете в САЩ и Европа се анализират чрез данни от патенти. Това помага да се разбере как привличането на таланти влияе върху икономическия растеж и просперитета на регионите.

Този кратък обзор е генериран от изкуствен интелект

Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.

Резултати накратко

GOTaM Cities - Geography Of Talents in Metropolitan Cities

In the context of a growing knowledge economy the competitiveness of countries, regions and cities is crucially affected by their ability to nurture and attract talented workers. The access to a diverse set of skills via high skilled immigrants could boost the innovative sectors needed for economic growth. Therefore it is important to provide robust evidence on the economic effects of High Skilled Immigration (HSI) in order to justify policies for their attraction Overall, GOTaM aimed at understanding how global talents are attracted to cities and how they impact on their innovative performance and prosperity. The project aims also at providing training and career opportunities to the Marie Curie fellow and allow a two-way knowledge transfer between him and the host institution (i.e Bocconi University). As far as research goals are concerned, Gotam achieved the following specific objectives: • GOTaM investigated the effects of high skilled migration on innovation and technological diversification of cities (see Diodato, Morrison and Petralia 2021). • GOTaM investigated both the short and long term effects of high skilled migration (e.g. Miguelez and Morrison, 2021; Diodato, Morrison, Petralia, 2021) • GOTaM analysed the impact of high skilled migration in different geographical contexts (i.e. US, European regions) (see Diodato, Morrison and Petralia, 2021; see Miguelez and Morrison, 2021). • GOTaM built a unique source of data to test the impact of high skilled migration on innovation (see Diodato, Morrison, Petralia, 2021; Campo, Mendola, Morrison and Ottaviano, 2020). • GOTaM built robust methodologies to identify high skilled migration in patent documents. During the project the fellow also acquired relevant skills in data managing and programming. The project gave the fellow the opportunity to further expand his research network thanks to the organisation of workshops and special sessions at conferences. In particular he was exposed to a varied community of scholars in the field of management (eg. prof. Choudury) and economics of innovation (prof. MacGarvie).

Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз

Цел на проекта

In the context of a growing knowledge economy the competitiveness of global cities is crucially affected by their ability to nurture and attract talented workers. In this global race the European Union is lagging behind in comparison with the US and other Anglo-Saxon economies. The diffusion of anti-immigration sentiments is also worrisome because the recovery from the Great Recession of 2008 is far from being in sight for many EU regions while the access to a diverse set of skills via high skilled immigrants could boost the innovative sectors needed for economic growth. Therefore it is important to provide robust evidence on the economic effects of High Skilled Immigration (HSI) in order to justify policies for their attraction. GOTaM cities aims at understanding how talents are attracted to cities and how they impact on their innovative performance and prosperity. While building on existing literature the project will make several contributions by addressing some unexplored questions and empirical shortcomings: a. GOTaM will focus on HSI in different geographical contexts (i.e EU, US, China and Brazil): the existing evidence is biased towards the US which leaves a lack of understanding about HSI in other areas;b. It will use individual data and focus on city/region level effects: most empirical literature relies on aggregate data at country level; c. It will investigate the qualitative effects of migration: whether HIS enhances the technological and economic diversification of cities by bringing new knowledge to those places;d. It will build a unique comprehensive dataset (and related methodologies) on migrant inventors and scientists which will help the scholarly community and policy makers to carry out informed empirical analysis: the findings so far are disputed also because carried out on specific cases or ethnic groups (e.g. Russian mathematicians);The findings of GOTaM will serve as a basis for inspiring new and more effective immigration policies.

Оригинален текст от CORDIS (на английски).

Участници

UNIVERSITA COMMERCIALE LUIGI BOCCONI · MilanoКоординаторИталия