PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Czasopismo
2020 | 15 | nr 4 | 785--810
Tytuł artykułu

A Multivariate Approach to the Identification of Initial Smart Specialisations of Polish Voivodeships

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Research background: The identification of smart specialisations should be based on information allowing the identification of resources and capital in the regions, which constitute the unique value of the area providing for the development of competitive advantages based on innovations and achievements in the research and development activities.
Purpose of the article: The key goal is to present the proposal to use an aggregate (synthetic) measure for the purpose of identifying regional development potentials and next the initial smart specialisations (RSS). This approach is particularly useful at the very initial stage of recognizing the potential in the region, and - after some modifications - may offer a useful tool for assembling the development of industries (services) in the region. The additional goals are: (1) to organize the knowledge regarding statistical approaches and selected methods to be used in the process of identifying initial smart specialisations in regions (RSS); (2) exemplification of the presented methodology for the initial regional smart specialisations (RSS) identification in voivodeships in Poland based on a multivariate approach.
Methods: Multivariate statistical analysis (MSA) methods are used in the identification procedure of initial regional smart specialisations (RSS), which allowed for performing the assessment in 4 reas: resources and capital; specialisation; development potential (dynamics); the involvement in research and development and innovative activities. They can also be extended with additional dimensions related to the cooperation of enterprises with social or environmental priorities.
Findings & Value added: The conducted procedure allowed identifying NACE rev. 2 divisions useful in determining development potentials in Polish regions and later the initial smart specialisations (RSS). The identified initial RSS for Polish voivodeships can be a starting point for building regional smart specialisations based on values supply chain or other premises. Due to the universal nature of the proposed methodology, it can be widely used at the level of subregions, regions and the EU countries. (original abstract)
Czasopismo
Rocznik
Tom
15
Numer
Strony
785--810
Opis fizyczny
Twórcy
  • Wroclaw University of Economics and Business, Poland
  • Wroclaw University of Economics and Business, Poland
  • Statistical Office in Wrocław
Bibliografia
  • Bal-Domańska, B., Cybulski, L., Kamiński, S., Ładysz, I., Stańczyk, E., & Wrocławiu, pracownicy D. O. B. R. U. S. we. (2018). Contextual monitoring of smart specializations in Dolnośląskie Voivodeship. Wrosław: Urząd Statystyczny we Wrocławiu.
  • Bal-Domańska, B., Sobczak, E., & Stańczyk, E. (2020). Identification of regional smart specialisations on the basis of aggregate measures - a case of the Dolnośląskie Voivodeship. Folia Oeconomica Stetinensia, 20(1), 62-80. doi: 10.2478/foli-2020-0004
  • Balland, P. A., Boschma, R., Crespo, J. & Rigby, D. L. (2019). Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification. Regional Studies, 53(9), 1252-1268. doi: 10.1080/00343404.2018.1437900.
  • Barff, R., & Knight III, P. (1988). Dynamic shift-share analysis. Growth and Change, 19(2), 1-9.
  • Bosch, A., & Vonortas, N. (2019). Smart specialisation as a tool to foster innovation in emerging economies: lessons from Brazil. Foresight and STI Governance, 13(1), 32-47. doi: 0.17323/2500-2597.2019.1.32.47.
  • Capello, R. (2014). Smart specialisation strategy and the new EU cohesion policy reform: introductory remarks. Scienze Regionali, 13(1), 5-15. doi: 10.3280/SCRE2014-001001.
  • Dmytrów, K. (2018). Comparison of several linear ordering methods for selection of locations in order picking by means of the simulation methods. Acta Universitatis Lodziensis. Folia Oeconomica, 5(338), 81-96. doi: 10.18778/0208-6018.338.05.
  • Dunn, E. S. (1960). A statistical and analytical technique for regional analysis. Papers and Proceedings of the Regional Science Association, 6, 98-112.
  • Esteban-Marquillas, J. M. (1972). A reinterpretation of shift-share analysis. Regional and Urban Economics, 2(3), 249-255.
  • Florence P. S. (1929). The statistical method in economics and political science. London: Kegan P., Trench, Trubner & CO. LTD. New York: Harcourt Brace & Company.
  • Foray, D. (2014a). Smart specialisation - opportunities and challenges for regional innovation policy. London: Routledge. doi: 10.4324/9781315773063.
  • Foray, D. (2014b). From smart specialisation to smart specialisation policy. European Journal of Innovation Management, 17(4), 492-507.
  • Foray, D., & Goenaga, X. (2013). The goals of smart specialisation. JRC Scientific and Policy Reports - S3 Brief Series. 1. Brussels: European Commission. doi: 10.2791/20158.
  • Gianelle, C., Guzzo, F., & Mieszkowski, K. (2020). Smart specialisation: what gets lost in translation from concept to practice? Regional Studies, 54(10), 1377-1388. doi: 10.1080/00343404.2019.1607970.
  • Godlewska, S. (2013). Strategies for smart specialisation (RIS3) - an instrument for the development policy implementation vs. the condition for obtaining EU funds. Przegląd Europejski, 4, 85-86.
  • Grosse, T. G. (2002). Overview of theoretical concepts of regional development. Studia Regionalna i Lokalne, 1.
  • Gulc, A. (2015). Analysis of methodological approach to identify smart specialization on the example of Polish regions. Procedia - Social and Behavioral Sciences, 213, 817-823. doi: 10.1016/j.sbspro.2015.11.483.
  • Hausmann, R., & Rodrik, D. (2003). Economic development as self-discovery. Journal of Development Economics, 72(2), 603-633. doi: 10.1016/S0304-3878(03)00124-X.
  • Heimeriks, G., & Balland, P.-A. (2016). How smart is specialisation? An analysis of specialisation patterns in knowledge production. Science and Public Policy, 43(4), 562-574. doi: 10.1093/scipol/scv061.
  • Hellwig, Z., (1968). The application of taxonomic method for typological division of countries regarding the development level as well as the resources and structure of qualified personnel. Przegląd Statystyczny, 4, 307-327.
  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: methods and applications. New York: Springer-Verlag.
  • IRE (2016). Innovative regions in Europe network, RSS Methodological Guide, Stage 1, IRE Secretariat.
  • Kamerschen, D. R., McKenzie, R. B., & Nardinelli, C. (1991). Economics. Gdańsk: Fundacja Gospodarcza NSZZ "Solidarność".
  • Kudełko, J. (2017). The concept of smart specialization on the example of the Podkarpackie region. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 475, 136-147. doi:10.15611/pn.2017.475.12.
  • LORT (2015). Smart specialistions of Lubuskie Voivodeship. Zielona Góra: Lubuskie Regional Territorial Observatory, Marshal's Office of Lubuskie Voivodeship.
  • Markowska, M., Kusterka-Jefmańska, M., & Jefmański, B. (2016). Analysis of smart specialisation in European regions using fuzzy classification. Argumenta Oeconomica, 2(37), 31-65. doi: 10.15611/aoe.2016.2.02.
  • Marshall, A. (1919). Industry and trade. A study of industrial technique and business organization and of their influences on the condition of various classes and nations. London: Macmillan.
  • Marshall, A., & Marshall, M. P. (1879). The economics of industry. London: Macmillan and co.
  • Matusiak, M., & Kisiała, W. (2015). Monitoring and evaluation system of research and innovation strategies for smart specializations (RIS3) in Poland. The list of common indicators. Poznań: Centrum Polityk Publicznych Spółka Celowa Uniwersytetu Ekonomicznego w Poznaniu.
  • McCann, P., & Ortega-Argilés, R. (2013). Smart specialisation, regional growth and applications to EU cohesion policy. Regional Studies, 49(8), 1291-1302. doi: 10.1080/00343404.2013.799769.
  • McCann, P., & Ortega-Argilés, R. (2016). Smart specialisation: insights from the EU experience and implications for other economies. Investigaciones Regionales - Journal of Regional Research, 36, 279-293.
  • Mieszkowski, K., & Barbero, J. (2020). Territorial patterns of R&D+I grants supporting smart specialisation projects funded from the ESIF in Poland. Regional Studies. Advance online publication. doi:10.1080/00343404.2020.1782877.
  • Navarro, M., Gibaja, J. J., Franco, S., Murciego, A., Gianelle, C., Hegyi, F. B., & Kleibrink, A. (2014). Regional benchmarking in the smart specialisation process: identification of reference regions based on structural similarity, S3 Working Paper Series, 03/2014.
  • Pander, W., Rauzer, A., Stawicki, M., Sycz, P., & Wojnicka-Sycz, E. (2014). Identification, monitoring and evaluation of smart specialisations. Warszawa: Maciej Stawicki.
  • Piersiala, L. (2019). The usage pattern of development method to assess the functioning of special economic zones: the case of Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 14(1), 167-181. doi: 10.24136/eq.2019.008.
  • Porter, M. E. (1990). The competitive advantage of nations. New York: Free Press.
  • Porter, M. E. (1985). The competitive advantage creating and sustaining superior performance. New York: Nowy Jork.
  • Proniewski, M., & Juchnicka M. (2013). Analysis of the potentials and specializations in Polish regions. Methodological outline. Warszawa: Krajowe Obserwatorium Terytorialne.
  • Quintane, E., Casselman, R. M., Reiche, B. S., & Nylund, P. A. (2011). Innovation as a knowledge-based outcome. Journal of Knowledge Management, 15(6), 928-947. doi: 10.1108/13673271111179299.
  • Ricardo, D. (1929). On the principles of political economy and taxation. Cracow: Edition of Gebethner and Wolff.
  • Rogalska, E. (2018). Multiple-criteria analysis of regional entrepreneurship conditions in Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 13(4), 707-723. doi:10.24136/eq.2018.034.
  • Santoalha, A. (2019). New indicators of related diversification applied to smart specialisation in European regions. Spatial Economic Analysis, 14(4), 404-424. doi: 10.1080/17421772.2019.1584328.
  • Schumpeter, J. A. (1911). The theory of economic development. Cambridge, MA: Harvard University Press.
  • Sinclair, R. (1967). Von Thunen and urban sprawl. Annals of the Association of American Geographers, 57(1), 72-87. doi: 10.1111/j.1467-8306.1967.tb00591.x.
  • Šipilova, V. (2015). When regional growth does not benefit from high-tech specialization? Explaining the experience of Latvian regions. Procedia Economics and Finance, 30, 863-875. doi: 10.1016/S2212-5671(15)01336-2.
  • Smith, A. (1776). An inquiry into the nature and causes of the wealth of nations. London: W. Strahan & T. Cadell.
  • Sobczak, E. (2012). Smart specialisation of workforce structure in the European union countries - dynamic analysis applying shift-share analysis method. Comparative Economic Research, 15(4), 219-232.
  • Sobczak, E. (2013). Specialisation of workforce structure in sectors of technical advancement in. In P. Hlavacek & P. Olsova (Eds.). Regional economy and policy: territories and Cities. Jan Evangelista Purkynĕ University.
  • Sobczak, E., & Bal-Domańska, B. (2013). Smart workforce structures versus regional development in European union countries of new accession (EU12). In P. Jedlicka (Ed.). The international conference Hradec economic days 2013. Economic development and management of regions. Peer-reviewed conference proceedings, Part III. Gaudeamus, 349-360.
  • Sotarauta, M. (2018). Smart specialisation and place leadership: dreaming about shared visions, falling into policy traps? Regional Studies, Regional Science, 5(1), 190-203. doi: 10.1080/21681376.2018.1480902.
  • Trippl, M., Zukauskaite, E., & Healy, A. (2019). Shaping smart specialisation: the role of place-specific factors in advanced, intermediate and less-developed European regions. Regional Studies. Advance online publication. doi: 10.1080/00343404.2019.1582763.
  • UE (2012). Guide on research and innovation strategies for smart specialization (RIS 3). European Union.
  • UMDL (2015). Strategic framework for smart specialisations in Dolnośląskie Voivodeship. Wracław: Marshal's Office of Dolnośląskie Voivodeship.
  • UMWZ (2014). Assumptions for the identification pro-cess of smart specialisations in Zachodniopomorskie Voivodeship. Szczecin: Strategic Management Department of Marshal's Office of Zachodniopomorskie Voi-vodship.
  • Uyarra, E., Marzocchi, Ch., & Sorvik, J. (2018). How outward looking is smart specialisation? Rationales, drivers and barriers. European Planning Studies, 26(12). 23-44. doi: doi.org/10.1080/09654313.2018.1529146.
  • Virkkala, S., Mäenpää, A., & Mariussen, Å. (2017). A connectivity model as a potential tool for smart specialisation strategies. European Planning Studies, 25(4), 661-679. doi: 10.1080/09654313.2017.1283391.
  • von Thünen, J. (2009). The isolated state in relation to agriculture and political economy. Haymarket Media, 224.
  • Wojnicka-Sycz, E. (2020). Theory-based evaluation criteria for regional smart specialisations and their application in the Podkarpackie voivodeship in Poland. Regional Studies. Advance online publication. doi:10.1080/00343404.2020.1802419
  • Zygmunt, J. (2018). Entrepreneurial activity drivers in the transition economies. Evidence from the Visegrad countries. Equilibrium. Quarterly Journal of Economics and Economic Policy, 13(1), 89-103. doi: 10.24136/eq.2018.005.
  • Zygmunt, J. (2020). The effect of changes in the economic structure on entrepreneurial activity in a transition economy: the case of Poland. Equilibrium. Quarterly Journal of Economics and Economic Policy, 15(1), 49-62. doi: 10.24136/eq.2020.003
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171609627

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.