Abstract
This study aims to take into account regional gross value added, to assess the performance of this macroeconomic component for all thirteen Regions of Greece. We apply two different methods for the period between 2010 and 2016, (1) the PROMETHEE II Multi-criteria method and (2) Shift and Share Analysis (SHA). In a nutshell, in nine out of thirteen Regions of Greece, the Promethee II method ranks the regions of Greece in a wholly identical or relatively similar manner to the SHA method, indicating that there is a robust framework considering the joint review for both proposed methods regarding regional performance.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Notes
i.e. due to the difference: \(\frac{{{\text{e}}_{{{\rm ij}}}^{0} }}{{{\text{e}}_{{.{\rm j}}} ^{0} }} - \frac{{{\text{e}}_{{{\rm i}.}}^{0} }}{{{\text{e}}^{0} }}\), where: \({\text{e}}_{{{\rm i}.}}^{0}\) is nationwide employment in industry i and \({\text{e}}^{0}\) is the nationwide employment.
See also the following link: www.mcda.it.
Greece’s national accounts Gross Value added data by industry NACE rev2. Data are available in from the national statistical office: http://www.statistics.gr/. Greece is divided in thirteen administrative regions (Nuts2 level). The full names of regions in the tables are: N.A. = South Aegean. V.A = North Aegean. I.N = Ionian Islands. Pe = Peloponnese. A.MT = East Macedonia, Thrace. Ip. = Epirus. Kr. = Crete. S.E. = Central Greece. D.M. = Western Macedonia. K.M = Central Macedonia. At. = Attica. Th. = Thessalia. D.E. = Western Greece Full name of industries A = Agriculture, forestry and fishing. (B, C, D, E) = Mining and quarrying, manufacturing, electricity, gas, steam, air conditioning and water supply, sewerage, waste management and remediation activities. F = Construction. (G, H, I) = Wholesale and retail trade, repair of motor vehicles and motorcycles, transportation and storage, accommodation and food service activities. J = Information and communication. K = Financial and insurance activities. L = Real estate activities. (M, N) = Professional, scientific and technical activities, administrative and support service activities. (O, P, Q) = Public administration and defense, compulsory social security, education, human health and social work activities. (R, S, T, U) = Arts, entertainment, recreation, other service activities, activities of households as employers, undifferentiated goods and services producing activities of households for own use, activities of extraterritorial organizations and bodies.
They dominate the region's economy sectors that also go moderate nationally.
References
Bartels CPA, Van Duijn JJ (1984) Implementing regional economic policy: an analysis of economic and political influences in The Netherlands, Regional Studies, vol 18
Creamer D (1942) Shifts of manufacturing industries. In industrial location and national resources, US Govt. Printing office
Digkoglou P, Papathanasiou J (2018) Ranking the EU countries according to the environmental performance index using PROMETHEE. Int J Sustain Agric Manag Inf IJSAMI 4(3/4):290–305
Dogru T, Sirakaya-Turk E (2017) Engines of tourism’s growth: an examination of efficacy of shift-share regression analysis in South Carolina. Tour Manag 58(February):205–214. https://doi.org/10.1016/j.tourman.2016.10.021
Dunn E (1960) A statistical and analytical technique for regional analysis. In: Papers and proceeding of the regional science association, vol 6
Esteban-Marquillas JM (1972) A reinterpretation of shift share analysis. Reg Urban Econ 2(3):249–261
Eurostat Statistical Books (2011) Science, technology and innovation in Europe
Goletsis Y, Chletsos M (2011) Measurement of development and regional disparities in Greek Periphery: a multivariate approach. Soc Econ Plan Sci 45:174–183
Hadjimichalis C (2011) Uneven geographical development and socio-spatial justice and solidarity: European regions after the 2009 financial crisis. Eur Urban Reg Stud 18(3):254–274
How Shift Share Analysis Works (2020) Available in: Property metrics. https://propertymetrics.com/blog/shift-share-analysis/. Accessed 26 Feb 2020
Jones JH (1940) A memorandum on the location of industry. In: The royal commision on the distribution of the industrial population London Appendix I.I London His Majesty’s Stationery Office Cmnd 6135
Katsanevas T (2009) The economy and employment in the 13 Greek regions & regional policy. Stαmouli Publications S.A., Athens
Loveridge S (1995) A practical approach to shift share analysis. J Commun Dev Soc 26(1):110–124
Loveridge S, Selting AC (1998) A review and comparison of shift share identities. Int Reg Sci Rev 21(1):39–58
Matkovski B, Kleut Ž (2014) Integration processes and rural development policy as factors affecting competitiveness and economic efficiency of agrarian economy of Serbia. In: Birovljev J, Sakal M (eds) Strategic management and decision support systems in strategic management—19th international scientific conference SM2014, Serbia, May, 2014
Moore BC, Rhodes J (1973) Evaluating the effects of British regional economic policy. Econ J 83(1):87–110
Polyzos S (31/6/2012) Greece: the regional problem causes imbalances in production potential, Newspaper Greek Opinion
Stilwell FJB (1969) Regional growth and structural adaption. Urban Stud 6:162–178
Wątróbski J, Jankowski J, Ziemba P, Karczmarczyk A, Zioło M (2019) Generalised framework for multi-criteria method selection. Omega 86:107–124, ISSN 0305-0483. https://doi.org/10.1016/j.omega.2018.07.004
Zekić S, Kleut Ž, Matkovski B, Đokić D (2018) Determining agricultural impact on environment: evidence for EU-28 and Serbia. Outlook Agric 47(2):116–124. https://doi.org/10.1177/0030727018768016
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Xanthos, G., Zopounidis, C., Garefalakis, A. et al. Distinguish regional performance with the use of shift-share analysis and MCDA methods: a gross value added perspective. Oper Res Int J 22, 1363–1376 (2022). https://doi.org/10.1007/s12351-020-00582-6
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12351-020-00582-6