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Sousse, Tunisia

The University of Sousse is a public university in Sousse, Tunisia. Wikipedia.

The informal economy is considered among the most important factors because of its direct relationship with environmental degradation. The main contribution of the paper is to investigate empirically the causal relationship between economic growth and CO2 emissions in the presence of the informal economy for Tunisia, during the period 1980-2009. This study is conducted on the basis of the Environmental Kuznets Curve hypothesis (EKC). We found a monotonically increasing relationship between total GDP (the sum of the formal and informal economy) and CO2 emissions as well as between formal GDP and CO2 emissions. Thus there is no evidence that supports the EKC hypothesis for greenhouse gas (GHG) emissions. By employing a cointegrated VECM model specification and accounting for structural breaks, we found that there exist co-integration relationships between the variables. Applying the technique to Granger causality, in both short and long-run, unidirectional causality from formal economic growth to CO2 emissions, while demonstrating bidirectional causality between CO2 emissions and TGDP. This implies that informal economy can be boosted at the cost of the environment. Thus, we propose policy recommendations directed at reducing the size of the informal sector and GHG emissions without affecting economic growth. Such suggestions consist chiefly in: implementing regulatory policy instruments to reduce CO2 emissions, increasing the probability of tax audits, compelling informal firms, and finally, applying a minimum of regulations in the formal sector, instead of multiplying them. © 2014 The Author. Published by Elsevier Ltd. Source

Zardi H.,University of Monastir | Romdhane L.B.,University of Sousse
Knowledge-Based Systems | Year: 2013

In the study of complex networks, a network is said to have community structure if it divides naturally into groups of nodes with dense connections within groups and only sparser connections between them [1]. Community structures are quite common in real networks. Social networks often include community groups based on common location, interests, occupation, etc. One of the most widely used methods for community detection is modularity maximization [2]. Modularity is a function that measures the quality of a particular division of a network into communities. But in [3], it is shown that communities that maximize the modularity are certainly groupings of smaller communities that need to be studied. In this work, we define a new function that qualifies a partition. We also present an algorithm that optimizes this function in order to find, within a reasonable time, the partition with the best measure of quality and which does not ignore small community. © 2012 Elsevier B.V. All rights reserved. Source

Farhani S.,University of Sousse | Ozturk I.,Cag University
Environmental Science and Pollution Research | Year: 2015

The aim of this paper is to examine the causal relationship between CO2 emissions, real GDP, energy consumption, financial development, trade openness, and urbanization in Tunisia over the period of 1971–2012. The long-run relationship is investigated by the auto-regressive distributed lag (ARDL) bounds testing approach to cointegration and error correction method (ECM). The results of the analysis reveal a positive sign for the coefficient of financial development, suggesting that the financial development in Tunisia has taken place at the expense of environmental pollution. The Tunisian case also shows a positive monotonic relationship between real GDP and CO2 emissions. This means that the results do not support the validity of environmental Kuznets curve (EKC) hypothesis. In addition, the paper explores causal relationship between the variables by using Granger causality models and it concludes that financial development plays a vital role in the Tunisian economy. © 2015, Springer-Verlag Berlin Heidelberg. Source

Sebri M.,University of Sousse
Environment, Development and Sustainability | Year: 2014

Although widely studied, the residential water demand remains a controversial issue. The purpose of the current study is to investigate systematic variations across related studies using meta-analysis approach. Particularly, a meta-analytical regression is performed to assess the sensitivity of the price, income and household size elasticities to a number of characteristics including demand specification, data characteristics, price specification, tariff structure, functional form, estimation technique and location of demand. The empirical results of the study reveal that these characteristics have differing influence on the reported elasticities. Obviously, these findings lie in their importance for regulators and policy makers and for academics alike. Among others, two important conclusions emerge. First, water use in summer and winter seasons and water use for indoor and outdoor purposes are found to be important factors affecting the price elasticity. This suggests that peak-load water pricing may be an effective tool for managing water demand. Second, the three elasticities tend to be differently estimated across various regions of the world as well as between developed and developing countries. Therefore, decision makers in a given country would not rely on the findings of studies conducted on other countries in formulating their policies. © 2013 Springer Science+Business Media Dordrecht. Source

Meddeb A.,University of Sousse
IEEE Communications Magazine | Year: 2016

While time-to-market constraints are accelerating the deployment of a variety of fragmented and proprietary IoT products, there is still a lack of understanding of what an IoT service is meant to be, what its consequences are, and how to promote standard IoT services. This article gives a concise but comprehensive survey of IoT service definition, regulation, and standardization activities. We discuss mainstream standards as well as emerging, independent, and state-funded projects. © 2016 IEEE. Source

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