Measuring Productivities for the 38 OECD Member Countries: An Input-Output Modelling Approach
Zacharias Bragoudakis (),
Evangelia Kasimati,
Christos Pierros,
Nikolaos Rodousakis and
George Soklis
Additional contact information
Nikolaos Rodousakis: Centre of Planning & Economic Research (KEPE), 106 72 Athens, Greece
Mathematics, 2022, vol. 10, issue 13, 1-21
Abstract:
Using a multisectoral model and the latest data from the OECD Input-Output Tables (IOTs-2021 ed.), this article estimates labour and capital productivities of the 38 OECD member countries. As measures of the productivity of labour, we consider the inverse of the vertically integrated labour coefficients, while Perron–Frobenius theorems are employed so as to measure capital productivity. In this respect, the productive technologies and the intersectoral relationships of each economy are taken into account. We further investigate the relationship between productivity, economic efficiency and living standards. Findings indicate that the impact of capital productivity on higher living standards depends on the evolutionary and institutional background of the economy at hand.
Keywords: capital productivity; input-output analysis; labour productivity; OECD member counties; Perron–Frobenius eigenvalues (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/13/2332/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/13/2332/ (text/html)
Related works:
Working Paper: Measuring productivities for the 38 OECD member countries: an input-output modelling approach (2022) 
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:gam:jmathe:v:10:y:2022:i:13:p:2332-:d:854949
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().