2072-64142411-140610.17059/ekon.reg.2023-1-11Effects of Smart Specialisation on Regional Labour ResilienceВлияние умной специализации на региональную устойчивость рабочей силыhttps://orcid.org/0000-0002-8159-5418Muštra Vinko МуштраВинко vinko.mustra@efst.hrhttps://orcid.org/0000-0002-8716-7588Šimundić Blanka ШимундичБланка blanka.simundic@efst.hrhttps://orcid.org/0000-0002-0311-8376Kuliš Zvonimir КулишЗвонимир zvonimir.kulis@efst.hrUniversity of SplitСплитский университет191136149Copyright © 2023 Vinko Muštra, Blanka Šimundić, Zvonimir KulišCopyright © 2023 Винко Муштра, Бланка Шимундич, Звонимир Кулиш2023Vinko Muštra, Blanka Šimundić, Zvonimir KulišВинко Муштра, Бланка Шимундич, Звонимир КулишCC BY 4.0https://www.economyofregions.org/ojs/index.php/er/article/view/516https://www.economyofregions.org/ojs/index.php/er/article/download/516/178

The global economy has experienced great volatility and uncertainty during the last decades. Economic effects of global recession in the period 2008-2009 showed to be diverse in terms of territorial impacts. This has raised interest in the empirical investigation of the causes of such territorial differences and supported the increase in literature dealing with the resilience concept and determinants of regional economic resilience. This research addresses literature gaps in understanding the role of smart specialisation process in regional labour resilience, as it is one of the cornerstones of the new place-based regional development policy approach in the European Union (EU). To this end, we have developed a new proxy for smart specialisation and employed the data for EU regional labour resilience for two different periods, recession (2007-2009) and recovery (2009-2014), which is determined based on regional economic performance data. Then, the EU regions were grouped in four categories considering resistance and recovery dimension of the resilience concept. We provide the extension of the existing literature by separately analysing the recovery dimension of the resilience concept in the short and long run. The multinomial logistic model enabled us to examine in detail the differential effects of all relevant resilience determinants. Research results indicate significant and positive effects of smart specialisation on regional labour resilience, especially for regions of the most resilient group. Furthermore, our study confirmed the significance of other determinants for regional labour resilience, such as stage of regional development, regional economic structure, population and education. The findings could be used for establishing the theoretical background for important socio-economic channels through which smart specialisation affects regional labour resilience and creating effective regional development policy measures.

Характерными чертами мировой экономики в последние десятилетия являются непостоянство и неопределенность. Поскольку экономические последствия глобальной рецессии в период 2008-2009 гг. различным образом повлияли на развитие территорий, возрос интерес к эмпирическому исследованию причин таких различий. Также увеличилось количество научных работ, посвященных концепции устойчивости и детерминантам экономической устойчивости на уровне регионов. В представленной статье описывается роль умной специализации и ее влияние на региональную устойчивость рабочей силы. Умная специализация — один из наиболее важных элементов новой региональной политики Европейского союза, опирающейся на возможности мест (place-based policy). Для проведения анализа был разработан авторский показатель умной специализации и использованы данные о региональной устойчивости рабочей силы ЕС за два разных периода: рецессии (2007–2009 гг.) и восстановления (2009–2014 гг.). Затем регионы ЕС были сгруппированы в четыре категории с учетом их устойчивости и скорости восстановления. Опираясь на существующую литературу, мы расширили подход, проанализировав скорость восстановления как в краткосрочной, так и в долгосрочной перспективе. Для детального изучения дифференциальных эффектов всех соответствующих детерминант устойчивости была использована мультиномиальная логистическая модель. Результаты анализа свидетельствуют о значительном положительном влиянии умной специализации на региональную устойчивость рабочей силы, особенно в регионах, принадлежащих к группе с наиболее высокими показателями. Кроме того, была подтверждена значимость других детерминант региональной устойчивости рабочей силы, таких как этап развития региона, экономическая структура, численность населения и образование. Полученные выводы могут быть использованы для теоретического обоснования социально-экономических каналов влияния умной специализации на региональную устойчивость рабочей силы и разработки эффективных мер политики регионального развития.

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