Labour Productivity and Technology Gap in European Regions: A Conditional Frontier Approach

Filippetti, Andrea; Peyrache, Antonio

doi:10.1080/00343404.2013.799768

Cited by 43 publications

(32 citation statements)

References 20 publications

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“…For example, work by Goos et al (2015) suggests that the slow convergence in high-tech employment among the EU 27 regions relates to obstacles that hinder faster accumulation of human capital as well as physical capital in lagging regions. Filippetti and Peyrache (2015) further argue that although investments in fixed capital such as infrastructure and transportation networks, may provide a positive shock to productivity in lagging 38. Hsieh & Moretti (2015), for example, have calculated that growing wage dispersion across locations reduced aggregate US GDP by 13.5 percent between 1964 and 2009, resulting from constraints to housing supply in skilled cities like New York, San Francisco and San Jose.…”

Section: Human Capital and Regional Developmentmentioning

confidence: 99%

Structural Transformation in the OECD

Berger

Frey

2016

OECD Social, Employment and Migration Working Papers

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Working Papers should not be reported as representing the official views of the OECD or of its member countries. The opinions expressed and arguments employed are those of the author(s). Working Papers describe preliminary results or research in progress by the author(s) and are published to stimulate discussion on a broad range of issues on which the OECD works. Comments on Working Papers are welcomed, and may be sent to els.contact@oecd.org. This series is designed to make available to a wider readership selected labour market, social policy and migration studies prepared for use within the OECD. Authorship is usually collective, but principal writers are named. The papers are generally available only in their original language-English or Frenchwith a summary in the other. This document and any map included herein are without prejudice to the status of or sovereignty over any territory, to the delimitation of international frontiers and boundaries and to the name of any territory, city or area.

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Section: Human Capital and Regional Developmentmentioning

confidence: 99%

Structural Transformation in the OECD

Berger

Frey

2016

OECD Social, Employment and Migration Working Papers

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“…Los and Timmer (2005) developed a panel data regression in order to discover the frontier, which not only reflects the contemporary technology over the observing period, but also reflects the technology level prior to the period. Another study into labor productivity in European countries demonstrated that technology utilization efficiency is the main engine driving conditional frontier convergence (Filippetti and Peyrache, 2015). In this research, three conditional frontier convergence hypotheses are proposed, as follows.…”

Section: Measurement Of Labor Productivitymentioning

confidence: 99%

Construction labor productivity convergence: a conditional frontier approach

Liu

Mills

2016

Engineering, Construction and Architectural Management

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Purpose -Understanding and simulating construction activities is a vital issue from a macro-perspective, since construction is an important contributor in economic development. Although the construction labor productivity frontier has attracted much research effort, the temporal and regional characteristics have not yet been explored. The purpose of this paper is to investigate the long-run equilibrium and dynamics within construction development under a conditional frontier context. Design/methodology/approach -Analogous to the simplified production function, this research adopts the conditional frontier theory to investigate the convergence of construction labor productivity across regions and over time. Error correction models are implemented to identify the long-run equilibrium and dynamics of construction labor productivity against three types of convergence hypotheses, while a panel regression method is used to capture the regional heterogeneity. The developed models are applied to investigate and simulate the construction labor productivity in the Australian states and territories. Findings -The results suggest that construction labor productivity in Australia should converge to stable frontiers in a long-run perspective. The dynamics of the productivity are mainly caused by the technology utilization efficiency levels of the local construction industry, while the influences of changes in technology level and capital depending appear limited. Five regional clusters of the Australian construction labor productivity are suggested by the simulation results, including New South Wales; Australian Capital Territory; Northern Territory, Queensland, and Western Australia; South Australia; and Tasmania and Victoria. Originality/value -Three types of frontier of construction labor productivity is proposed. An econometric approach is developed to identify the convergence frontier of construction labor productivity across regions over time. The specified model can provides accurate predictions of the construction labor productivity.

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“…Angeriz et al (2006) used DEA to assess indices of total factor productivity, technological change and efficiency in Europe countries. Filippetti and Peyrache (2015) also used DEA to assess Labor Productivity and Technology Gap in Europe countries. Mitrovic (2015) used DEA based model to analyze dynamics and the level of the digital information in Western Balkan Countries.…”

Section: Introductionmentioning

confidence: 99%

An empirical study on measurement of efficiency of digital transformation by using data envelopment analysis

İnel¹

2019

10.5267/j.msl

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Nowadays digitalization is an important topic for businesses and government agencies. There are important reports publishing about digitalization or digital transformation. This study aims to measure the relative efficiency of digital transformation among EU Countries based on data envelopment analysis (DEA). The necessary data are extracted from Digital Transformation Scoreboard 2018 published by European Commission. DEA is one of popular methods for measuring the relative efficiency of similar units. This study empirically proposes an alternative ranking for countries with respect to digital transformation efficiency by using "enablers and output" approach of Digital Transformation Scoreboard. Digital Infrastructure, Investment and Access to Finance, Supply and Demand of Digital Skills, E-Leadership and Entrepreneurial Culture are considered as input while ICT start-ups and Digital Transformation are considered as the output of DEA model. The results indicate that while some countries like Denmark, Italy and United Kingdom are considered relatively efficient, Netherland and Germany are not very efficient according to our results.

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Labour Productivity and Technology Gap in European Regions: A Conditional Frontier Approach

Cited by 43 publications

References 20 publications

Structural Transformation in the OECD

Structural Transformation in the OECD

Construction labor productivity convergence: a conditional frontier approach

An empirical study on measurement of efficiency of digital transformation by using data envelopment analysis

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