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Achieving high economic growth rates has always been the primary objective of emerging economies. While some countries have experienced phenomenal economic success in recent years, there is widespread consensus that economic prosperity has been accompanied by rapid environmental degradation. This research aims to empirically investigate whether the development process in emerging economies were environmentally efficient. The study computes and analyses the energy-environmental super-efficiency scores for 14 leading emerging economies from 1980 to 2019 using the Slack-Based Measure Data Envelopment Analysis with undesirable output. The study also conducts a similarity analysis using the Dynamic Time Warping non-parametric approach, while the Dynamic Time Warping Barycenter Averaging-k-means algorithm is performed to assign economies to different clusters according to their energy-environmental super-efficiency. The findings divulge some divergence regarding the magnitude and evolution over time of super-efficiency scores. Four emerging economies, Brazil, The Philippines, Pakistan, and Vietnam, have been the most efficient, while South Africa recorded the worst scores during the same period. The Dynamic Time Warping path analysis suggests the presence of lead-lag relationships between the super-efficiency scores of China, as the reference economy, and the other economies. Finally, the Dynamic Time Warping Barycenter Averaging-k-means algorithm suggests the presence of four clusters. [ABSTRACT FROM AUTHOR]

This paper aims to examine the impact of foreign ownership on the employment of different skill groups in Tunisian manufacturing industries. The empirical investigation is based on a rich and unique firm-level dataset covering the period 1997–2007. The estimation of a dynamic labor demand function using the system GMM estimator brings out many interesting findings. First, results indicate that foreign ownership has a positive effect on total employment. Second, when decomposing employment according to skill level, we reveal that the foreign ownership of firms affects positively unskilled labor demand and negatively skilled labor demand. Furthermore, the effects are higher in small and medium-sized enterprises and firms belonging to low technology industries. Findings also suggest no significant differences between short- and long-run effects of foreign ownership on the employment of different skill groups. Finally, the main results of the research hold even when estimating the labor demand functions simultaneously using the three-stage least squares estimator. The policy implications are correspondingly derived. [ABSTRACT FROM AUTHOR]

The present paper considers the impact of the economic dimension of globalisation on the Tunisian labour market. Seventeen years after the signature of the free trade agreement between Tunisia and the European Union, this paper may serve as a preliminary appraisal of the labour market outcomes of economic globalisation in this country. In particular, this paper has two main objectives. First, it provides an empirical assessment of the impact of economic globalisation on aggregate labour demand and economy-wide average wage between 1983 and 2009. Second, it estimates the effects of economic globalisation on sectoral labour demand and wages. The econometric analysis suggests that economic globalisation positively affects the level of aggregate labour demand, while there is no significant effect on average wage. At the disaggregated level, we reveal that the impact of economic globalisation on sectoral labour demand is clearer in the manufacturing sector, whereas for agriculture and services, the relationship seems to be weak. Indeed, we find that economic globalisation exerts positive effects on wages in agriculture and services and negative effects on wages in manufacturing. In order to check the parameters stability, the cumulative sum of recursive residuals and the cumulative sum of squares of recursive residuals tests, suggested by Brown, Durbin, and Evans [1975. “Techniques for Testing the Constancy of Regression Relations Over Time.”Journal of the Royal Statistical Society37 (2): 149–192], are performed. [ABSTRACT FROM PUBLISHER]

This paper has two central aims. The first one is to deal empirically with the effects of financial crises on emerging stock markets volatility. The second objective consists in testing if the level of stock market development affects this relationship. For this purpose, we estimate a static panel data model for a sample of nine emerging economies from January 1990 to December 2006. We consider three types of financial crises, i.e. banking, currency and twin crises. Our empirical results suggest that the onset of financial crises strongly increased stock market volatility. In addition, we find that the biggest impact is exerted by twin crises. When dealing with the second objective, our results show that the market size and the liquidity level can attenuate the effects of banking and currency crises, but not the one associated to twin crises. Nevertheless, the degree of stock market integration seems to reduce the effects of banking, currency and twin crises on stock market volatility. [ABSTRACT FROM AUTHOR]