EconPapers    
Economics at your fingertips  
 

Decomposing Productivity Changes – Romania’s Counties Case

Cristina Lincaru and Speranţa Pîrciog ()
Additional contact information
Speranţa Pîrciog: National Scientific Research Institute for Labor and Social Protection – INCSMPS

Journal for Economic Forecasting, 2017, issue 3, 166-184

Abstract: The Sectoral Pattern of Growth at county level in Romania may be characterised by “decomposing output growth per worker within sectoral changes and between sectoral changes”. The Job Generation and Growth Decomposition Tool, or JoGGs (Step 3&5) (World Bank, 2011 & Guide), is applied to ten economic sectors (NACE Rev.2) in all 42 counties (NUTS3 level) during the 2010-2013 period. The contribution of each sector, as well as of the inter-sectoral employment shifts, to the observed growth in total output per worker (real 2010 Euros/worker by county) is treated as lattice data (Anselin, 2002). The results are presented in the Chloropleth classification technique univariate maps, by five classes calculated with Jenks natural interval classification scheme. The contribution of each sector to changes in output per worker linked to employment relocation effects offers an image of the manifestation of structural change as a factor behind growth.

Keywords: output per worker changes; changes in output per worker within sector; movements of labour between sectors; structural changes; Locations with sectors with productivity driven by innovation; Locations with sectors without productivity driven by innovation (search for similar items in EconPapers)
JEL-codes: O15 O41 O47 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.ipe.ro/rjef/rjef3_17/rjef3_2017p166-184.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rjr:romjef:v::y:2017:i:3:p:166-184

Access Statistics for this article

Journal for Economic Forecasting is currently edited by Lucian Liviu Albu and Corina Saman

More articles in Journal for Economic Forecasting from Institute for Economic Forecasting Contact information at EDIRC.
Bibliographic data for series maintained by Corina Saman ( this e-mail address is bad, please contact ).

 
Page updated 2025-03-22
Handle: RePEc:rjr:romjef:v::y:2017:i:3:p:166-184