Ioannis Bournakis
Biographic Data
| ID | 5737607 |
|---|---|
| NAME | Ioannis Bournakis |
| GIVEN NAMES | Ioannis |
| FAMILY NAME | Bournakis |
| SIGNATURE | BOURNAKIS I |
| AFFILIATIONS | Middlesex University |
| ORCID | 0000-0002-7065-9316 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
The diverse academic contributions of Professor Mike Tsionas
This paper reviews Professor Mike G. Tsionas’ significant contributions to efficiency and productivity measurement, focusing on his pioneering work in Stochastic Frontier Analysis and Econometrics. Highlighting key publications, such as his influential study on financial development and economic growth, it emphasizes novel methodologies like Bayesian Econometric techniques. Professor Tsionas’ research has advanced our understanding of firm produc…
Regional income inequality in Egypt: Evolution and implications for Sustainable Development Goal 10
Research on income inequality in developing economies has scarcely looked at the regional dimension. This is important, as progress in reducing income inequality at national level can only be partially successful if a country consists of very unequal regions alongside relatively equal ones. Using newly assembled Luxembourg Income Study data, we study the evolution of income inequality within Egyptian regions during 1999–2015. The analysis offers …
A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax
We develop a non‐parametric technique framework for estimating firm‐level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm‐idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relation…
Recent trends in firm‐level total factor productivity in the UK: New measures, new puzzles
Understanding the poor productivity performance of the UK economy since the financial crisis is complicated by the well‐known challenges in estimating total factor productivity (TFP) using only revenue data. We develop a structural framework to infer quality‐adjusted TFP from an estimated firm‐level revenue function. We use microdata for two sectors previously identified as being significant contributors to the UK's productivity growth slowdown—m…
Multinationals and domestic total factor productivity: Competition effects, knowledge spillovers and foreign ownership
We explore the role of multinational enterprises (MNEs) in Total Factor Productivity (TFP) of domestic firms by addressing some of the long‐standing controversies in the literature, drawing attention to the foreign ownership structure. First, we study the impact of foreign ownership structure on FDI gains. Second, we differentiate between competition effects (CE) and knowledge spillovers (KS). The former induces pro‐competitive improvements by ma…
Subsidiary roles as determinants of subsidiary technology sourcing: Empirical evidence from China
The impact of multinational and domestic enterprises on regional productivity: Evidence from the UK
The paper explores the respective effects of multinational enterprises (MNEs) and domestic enterprises (DOMEs) on regional productivity in the case of UK regions. The empirical evidence shows that the more intensive in terms of research and development and intangibles, MNEs have a stronger effect on regional productivity than DOMEs. However, when one controls for the origin of the MNEs, it is found that DOMEs can outperform MNEs from certain coun…
The impact of multinational and domestic enterprises on regional productivity: Evidence from the UK
The paper explores the respective effects of multinational enterprises (MNEs) and domestic enterprises (DOMEs) on regional productivity in the case of UK regions. The empirical evidence shows that the more intensive in terms of research and development and intangibles, MNEs have a stronger effect on regional productivity than DOMEs. However, when one controls for the origin of the MNEs, it is found that DOMEs can outperform MNEs from certain coun…
Subsidiary roles as determinants of subsidiary technology sourcing: Empirical evidence from China
The impact of multinational and domestic enterprises on regional productivity: Evidence from the UK
The paper explores the respective effects of multinational enterprises (MNEs) and domestic enterprises (DOMEs) on regional productivity in the case of UK regions. The empirical evidence shows that the more intensive in terms of research and development and intangibles, MNEs have a stronger effect on regional productivity than DOMEs. However, when one controls for the origin of the MNEs, it is found that DOMEs can outperform MNEs from certain coun…
Multinationals and domestic total factor productivity: Competition effects, knowledge spillovers and foreign ownership
We explore the role of multinational enterprises (MNEs) in Total Factor Productivity (TFP) of domestic firms by addressing some of the long‐standing controversies in the literature, drawing attention to the foreign ownership structure. First, we study the impact of foreign ownership structure on FDI gains. Second, we differentiate between competition effects (CE) and knowledge spillovers (KS). The former induces pro‐competitive improvements by ma…
Regional income inequality in Egypt: Evolution and implications for Sustainable Development Goal 10
Research on income inequality in developing economies has scarcely looked at the regional dimension. This is important, as progress in reducing income inequality at national level can only be partially successful if a country consists of very unequal regions alongside relatively equal ones. Using newly assembled Luxembourg Income Study data, we study the evolution of income inequality within Egyptian regions during 1999–2015. The analysis offers …
A Non‐parametric Estimation of Productivity with Idiosyncratic and Aggregate Shocks: The Role of Research and Development (R&D) and Corporate Tax
We develop a non‐parametric technique framework for estimating firm‐level Total Factor Productivity (TFP). Our paper has two major novelties: first, we propose a modelling of productivity with both firm‐idiosyncratic factors and aggregate shocks. Second, we apply the Bayesian Markov Chain Monte Carlo (MCMC) technique that offers a numerical integration of productivity outside the posterior overcoming the restrictive assumptions about the relation…
Recent trends in firm‐level total factor productivity in the UK: New measures, new puzzles
Understanding the poor productivity performance of the UK economy since the financial crisis is complicated by the well‐known challenges in estimating total factor productivity (TFP) using only revenue data. We develop a structural framework to infer quality‐adjusted TFP from an estimated firm‐level revenue function. We use microdata for two sectors previously identified as being significant contributors to the UK's productivity growth slowdown—m…
The diverse academic contributions of Professor Mike Tsionas
This paper reviews Professor Mike G. Tsionas’ significant contributions to efficiency and productivity measurement, focusing on his pioneering work in Stochastic Frontier Analysis and Econometrics. Highlighting key publications, such as his influential study on financial development and economic growth, it emphasizes novel methodologies like Bayesian Econometric techniques. Professor Tsionas’ research has advanced our understanding of firm produc…
Economics (7 works) · Global trade and economics (5 works) · Industrial organization (4 works) · Productivity (4 works) · Business (3 works) · Economic Growth and Productivity (3 works) · Fiscal Policy and Economic Growth (3 works) · International Business and FDI (3 works) · International trade (3 works) · Multinational corporation (3 works)