Konstantin Kolev – University of Forestry, 10 Kliment Ohridsky Blvd., Sofia 1797, Bulgaria
DOI: https://doi.org/10.31410/ERAZ.S.P.2019.109
5th International Conference – ERAZ 2019 – KNOWLEDGE BASED SUSTAINABLE DEVELOPMENT, Budapest – Hungary, May 23, 2019, SELECTED PAPERS
Published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
Conference partners: Faculty of Economics and Business, Mediterranean University, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; Faculty of Applied Management, Economics and Finance – Belgrade, Serbia;
ISBN 978-86-80194-21-9, ISSN 2683-5568, DOI: https://doi.org/10.31410/ERAZ.S.P.2019
Abstract
The paper’s goal is to analyze the employment in Bulgaria and EU-28 by economic activities
of NACE Rev. 2 Statistical Classification of Economic Activities in the European Community, and on
this basis to reveal opportunities for increasing the employment in Bulgaria. The analysis of employment
by economic activities is based on shift-share analysis and the concept of the economic base. The
first one decomposes the changes in the number of employees on three parts: national, industrial and
regional. From the three components of the change the ‘regional share’ is the most important. It reveals
the economic activities, which have opportunities for growth in the respective region (in current study
in Bulgaria) due to its favourable conditions. According to the concept of the economic basis the local
economy (in current study the economy of Bulgaria) is divided on two sectors – basic and non-basic.
The economic sectors defined as basic form the economic base of the region and all other economic sectors
thrive by serving the basic ones. To determine the basic economic sectors of the respective regional
economy (in current study the economy of Bulgaria) location quotients are calculated. The results of
the two methods are summarized on the four-quadrant table, which allows the economic sectors to be
systematized into four groups – growing, transforming, declining and emerging. The most significant
sectors, which contribute to high extent for increasing of employment in the region (Bulgaria) are those
ones classified as growing.
Key words
employment, shift-share analysis, conception of economic base, location quotients, economic
sectors.
References
[1] www.nsi.bg
[2] Dinc, M. (2002). Regional and Local Economic Analysis Tools. The World Bank, Washington
DC, 44 p.
[3] Rupasingha, A., M. Patrick. Tools for Understanding Economic Change in Communities:
Economic Base Analysis and Shift-Share Analysis, New Mexico State University Library,
http://aces.nmsu.edu/pubs/_circulars/cr643A.pdf
[4] Blakely, E., N. Leigh. (2013). Planning Local Economic Development. Theory and Practice,
Fifth Edition, SAGE Publication, 461.
[5] Dogru, T., E. Sirakaya-Turk. (2017). Engines of Tourism’s Growth: An Examination of
Efficacy of Shift-Share Regression Analysis in South Carolina, Elsevier, Tourism Management,
58, 205-214.
[6] Elburz, Z., F. Gezici. (2012). Regional Development Policies and Industrial Employment
Change in Turkey: A Shift Share Analysis (1992-2008), 52nd Congress of the European
Regional Science Association: “Regions in Motion – Breaking the Path”, 21-25 August,
Bratislava, http://hdl.handle.net/10419/120750
[7] Goschin, Z. (2014). Regional Growth in Romania after its Accession to EU: A Shift-Share
Analysis Approach, Elsevier, Procedia Economics and Finance, 15, 169-175.
[8] Herath, J., T. Gebremedhin, B. Maumbe. (2011). A Dynamic Shift-Share Analysis of Economic
Growth in West Virginia, Journal of Rural and Community Development, 155-169.
[9] Islam, F., F. Sidding, F. Mubassirah. (2016). Economic Growth Analysis of Six Divisions
of Bangladesh Using Location Quotient and Shift-Share Method, Bangladesh Res. Pub. J.
12 (2), 144-154.
[10] Evans, G. (2008). Spatial Shift-Share Analysis of the Leisure and Hospitality Sector on the
Gulf Coast Following Hurricane Katrina, Southern Agricultural Economic Association,
Dallas, 2008, 1-15.
[11] M. Khusaini. (2015). A Shift-Share Analysis on Regional Competitiveness – a Case of
Banyuwangi District, East Java, Indonesia, Elesevier, Procedia – Social and Behavioral
Sciences, 738-744.
[12] Mason, S., P. Zhu, J. Dyke. (2017). Regional Industry Analysis: An Approach for Economies
Large and Smaller, Economic Development Quarterly, 31 (2), 128-138.
[13] Morrissey, K. (2016). A Location Quotient Approach to Producing Regional Production
Multipliers for the Irish Economy, Papers in Regional Science, 95 (3), 491-506.
[14] Stoenchev, N. (2016). Kachestvoto na zhivot i spetsializatsiya na teritoriyata po ikonomicheski
deynosti v Balgariya (statisticheski aspekti). Izdatelstvo „Intel Entrans“, S., 122 s.
[15] Stoencheva, TS. (2010). Regionalna ikonomika. Universitetsko izdatelstvo „Stopanstvo“,
S., 160 s.
[16] Svetikas, K. (2014). Strategic Planning For Regional Development: An Introductory Textbook,
Mykolas Romeris University, Vilnius, 131.
[17] Papazov, E. (2006). Tehniki za obektivizirane na SWOT-analiza na regionalnoto razvitie.
Ikonomicheski zhivot, br. 2.
[18] Stoychev, K. (2007). Opredelyane na znachenieto na toplivno energiyniya kompleks Maritsa-
iztok v regionalnata ikonomika na oblast Stara Zagora chrez obektiviziran SWOT-analiz.
Geografiya i regionalno razvitie. Nauchni konferentsii s mezhdunarodno uchastie. Sozopol,
2-12 s.
[19] Stoychev, K. (2008). Regionalen balans na promishlenoto proizvodstvo: struktura i optimizatsiya.
Avtoreferat na disertatsiya, predstavena za prisazhdane na nauchna stepen
„doktor“ po nauchna spetsialnost 01. 08. 02. „Ikonomicheska i sotsialna geografiya“. SU
„Sv. Kl. Ohridski”, Geologo-geografski fakultet, S., 60 s.
[20] https://ec.europa.eu/eurostat/data/database