The Concept of Latvian Industrial Property Market Development Model in Context of Strategic Planning
Tatjana Staube and
Ineta Geipele
ERES from European Real Estate Society (ERES)
Abstract:
The purpose of the Article is to introduce the worked out model on the Latvian industrial real estate market development forecasting for the professional auditorium. The originality/value of the Paper is that the proposed model anticipates the high quality (A class) industrial property stock and the manufacturing branch potential capacity applying the projections of the European climate change data. The research is supplemented with the results from the industrial regional specialization analysis recently made for the Baltics. The main findings are that the model predicts the manufacturing value added dynamics planned in the Latvian National Program until 2020 conforming the impetuous development scenario that is too ambitious at the current industrial market development stage of an extremely low regional specialisation level in Latvia. Although the weighted average scenario's projected manufacturing capacity of 1.01 compound average annual growth rate corresponds to 1.72 times larger A class industrial property stock in 2020 in Latvia that expects the sufficient capital inflows and increase of the multinational enterprises business activity. The use of the ENSEMBLES project's complex data results, logical approach and comparisons, the system and dynamic row's analyses, calculations of the Gini coefficient on regional specialization supported by the empirical evidence on the scientific and business literature review is a complex of the methods applied in the research.
JEL-codes: R3 (search for similar items in EconPapers)
Date: 2013-01-01
New Economics Papers: this item is included in nep-ure
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eres.architexturez.net/doc/oai-eres-id-eres2013-156 (text/html)
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:arz:wpaper:eres2013_156
Access Statistics for this paper
More papers in ERES from European Real Estate Society (ERES) Contact information at EDIRC.
Bibliographic data for series maintained by Architexturez Imprints ().