Title: Analysing relationship between productivity and knowledge economy data of EU countries (including Turkey) by using canonical correlation analysis
Authors: Serhat Burmaoglu; Yigit Kazancoglu; Mehmet Kabak
Addresses: Turkish Army Academy, Leadership R&D; Center, Bakanliklar, Ankara, Turkey ' Department of Administrative Sciences, Izmir University of Economics, Balcova, Izmir, Turkey ' Department of Industrial and Systems Engineering, Turkish Army Academy, Bakanliklar, Ankara, Turkey
Abstract: For the last 200 years, neo-classical economies have recognised only two factors of production: labour and capital. Knowledge, productivity, education and intellectual capital were all regarded as exogenous factors that are falling outside the system. Knowledge is a part of production systems in emerging economies. Also relationship between knowledge and productivity is an important aspect either. This study aims to find a relationship between the knowledge economy and the productivity for EU countries (including Turkey) using canonical correlation analysis. In contrast to previous works, instead of using firms' data, the macroeconomic data of countries is used for the analysis. The aim of this study is to find which of the knowledge economy variables has the most significant correlation between productivity variables, and also the possibility of existence of gender-based relations is scrutinised. According to the results of the analysis, patent number, computer usage and internet access level have significantly affected productivity. On the other hand, gross domestic product per capita as a productivity variable also has significant effect on knowledge economy variables. For gender-based variables, however, no correlation has been extracted. Finally, the results are discussed in the final section and some comments about knowledge economy and productivity are made.
Keywords: CCA; canonical correlation analysis; knowledge economy; European Union; EU; Europe; emerging economies; neo-classical economics; production factors; labour; education; intellectual capital; exogenous factors; production systems; macroeconomic data; significant correlations; productivity variables; gender-based relations; patents; computer usage; internet access; world wide web; gross domestic product; GDP; Belgium; Bulgaria; Czech Republic; Denmark; Germany; Estonia; Ireland; Greece; Spain; France; Italy; Cyprus; Latvia; Lithuania; Luxembourg; Hungary; Malta; Netherlands; Holland; Austria; Poland; Portugal; Romania; Slovenia; Slovakia; Finland; Sweden; UK; United Kingdom; Croatia; Turkey; Norway; former Yugoslavia; Yugoslav Republic; Macedonia; productivity management; quality management.
International Journal of Productivity and Quality Management, 2012 Vol.9 No.4, pp.437 - 455
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 05 Jun 2012 *