Mean reversion and convergence of ecological footprint in the MENA region: evidence from a fractional integration procedure.

This paper deals with the analysis of mean reversion and convergence of the ecological footprint (EF) in the MENA region. Using a long memory model based on fractional integration, we find that the results are very heterogeneous across countries depending on the assumptions made on the error term and the use of original versus logged data. Nevertheless, some conclusions can be obtained. Thus, mean reversion is decisively found in the case of Tunisia, and other countries showing some degree of reversion to the mean include Israel, Syria, Yemen, and Iran. Dealing with the issue of convergence within the MENA countries, similar conclusions hold and only Tunisia reports statistical evidence of convergence for the two types of errors. Additional evidence is found in the case of Syria, Yemen, and Jordan with uncorrelated errors and for Iran with autocorrelation. It is recommended that environmental policies targeted at stabilizing the trends in EF in the MENA region should not be indiscriminately applied in consideration of the heterogeneous nature of the series in the region.

On the convergence of ecological footprint in African countries: New evidences from panel stationarity tests with factors and gradual shifts.

Convergence of the environmental indicators has been one of the significant research areas for researchers since the study of Strazicich and List (2003) was published. Earlier papers have concentrated on investigating the existence of the convergence of indicators of the environment by using carbon emissions as a pollution indicator. However, some researchers have criticized the use of carbon emission as a one-dimensional indicator and proposed using ecological footprint as a more comprehensive indicator. The primary aim of this paper is to examine whether stochastic convergence of ecological footprint exists in 49 African countries from 1973 to 2018 by employing a battery of traditional stationarity methods and a newly proposed stationary method with smooth shifts and a combination of p-values. The empirical results show that panel findings of the conventional stationarity test with no structural shifts reveal that ecological footprint follows a stationary process. In contrast, panel findings of the traditional stationarity method with sharp and smooth changes and the newly developed stationary method with smooth shifts and a combination of p-values reveal that ecological footprint follows a non-stationary process. Moreover, the majority of individual results show that the ecological footprint follows a convergent pattern in 38 African countries, whereas it follows a divergent pattern in the remainder. Therefore, the main finding indicates the stochastic convergence of ecological footprint in African countries is validated. The policy outcomes of the empirical results are given in the body of the paper.

Confidence level in performing clinical procedures among medical officers in nonspecialist government hospitals in Penang, Malaysia.

A prospective cross-sectional study was conducted at 3 government hospitals over 6 months to evaluate the confidence level of medical officers (MOs) to perform clinical procedure in nonspecialist government hospitals in Penang. An anonymous self-administered questionnaire in English was designed based on the elective and emergency procedures stated in the houseman training logbook. The questionnaire was distributed to the MOs from Penang State Health Department through the respective hospital directors and returned to Penang State Health Department on completion. The results showed that there was statistically significant difference between those who had undergone 12 months and 24 months as houseman in performing both elective and emergency procedures. MOs who had spent 24 months as housemen expressed higher confidence level than those who had only 12 months of experience. We also found that the confidence level was statistically and significantly influenced by visiting specialist and working together with cooperative experienced paramedics.