In this paper, we estimate the potential tax burden in a panel data set comprising OECD countries over the period 2000-2021. To this end, we use non-parametric and parametric techniques: Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). In this way, it will be possible for...

In this paper, we estimate the potential tax burden in a panel data set comprising OECD countries over the period 2000-2021. To this end, we use non-parametric and parametric techniques: Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA). In this way, it will be possible for...

This paper asseses the efficiency of the State-Owned Enterprise (SOE) in Asia-Pacific and European regions by adapting a non-parametric analysis, Data Envelopment Analysis (DEA) to compute technical efficiency (TE). There are two TE models available namely constant returns-to-scale (CRS) and...

This paper asseses the efficiency of the State-Owned Enterprise (SOE) in Asia-Pacific and European regions by adapting a non-parametric analysis, Data Envelopment Analysis (DEA) to compute technical efficiency (TE). There are two TE models available namely constant returns-to-scale (CRS) and...

One of the most complex steps within Smart Specialisation is to determine genuinely promising areas in an evidence-based manner, with the help of multiple data. This is also the stage where the economies from the EU Enlargement and Neighbourhood Region lacked expertise and required support....