Since the introduction of bootstrap DEA there is a growing literature on applications which use this method, mainly for hypothesis testing. It is therefore important to establish the consistency and evaluate the performance of bootstrap DEA. The few Monte Carlo experiments in the literature...

Bootstrapping non-parametric models is a fairly complicated exercise which is associated with implicit assumptions or requirements that are not always obvious to the non-expert user. Bootstrap DEA is a significant development of the past decade; however, some of its assumptions and properties are...

This paper seeks to evaluate efficiency and competition dynamics of the Kenyan banking sector for the period 2001-2017 using bank-level data for 37 commercial banks. To achieve this, the paper uses a three-step estimation approach; first, we apply non-parametric Data Envelopment Analysis (DEA)...

The study looked into the resilience of provincial governance in the Philippines to disaster risk using World Bank (WB) socio-economic resiliency estimates and cross-sectional data generated by the Department of Interior and Local Government (DILG) and the Philippine Statistics Authority (PSA)...

Energy efficiency improvement (EEI) is generally known to be a cost-effective measure for meeting energy, climate and sustainable growth targets. Unfortunately, behavioral responses to such improvements (called energy rebound effects) may reduce the expected savings in energy and emissions from...