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Curriculum Vitae
Oussama ZAGHDOUD
Nationality: Tunisian
Current position: Assistant Professor of Economics and Quantitative Methods
Professional address: École Supérieure des Sciences Économiques et Commerciales.
4 Rue Abou Zakaraia EL Hafsi-Montfleury, 1089 Tunis, Tunisie.
Private address: Rue Mansour Iben Zairi, Résidence Essourour Bloc-B-Appt1
Ouerdia 1, 1009 Tunis, Tunisie.
Telephone: +216 98 54 71 86/+216 71 49 78 42
E-mail: zaghdoudoussam[email protected]
Education
2006-2010 Ph.D. in Economics, University of Paris 1 Panthéon Sorbonne,
Paris School of Economics. Ph.D. Dissertation: “Economic Growth
and Environmental Quality in Tunisia: Empirical Studies”.
1998-2000 Master of Science in Econometrics and Mathematical
Economics, Faculty of Economic Sciences and Management of
Tunis. Master’s Thesis Title: “Industrial Waste Management in
Tunisia: Theoretical Analysis and Empirical Evidence”.
1994-1998 Bachelor of Sciences in Management, Faculty of Economic
Sciences and Management of Tunis.
Other University Training Courses
2006-2009 English Language Diploma
Bourguiba School of Tunis.
May-Nov.2000 Computer Networks Diploma
National Engineering School of Tunis.
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Professional Experiences
2011-present Assistant Professor of Economics and Quantitative Methods, Higher
School of Economic and Commercial Sciences of Tunis.
2001-2010 Teaching Assistant of Economics and Quantitative Methods, Higher
School of Economic and Commercial Sciences of Tunis.
Academic Affiliations
2006-present Member of the research Laboratory “University Team for Research
in Quantitative Economics, Sorbonne Economic Centre”, University
of Paris 1 Sorbonne.
2000-present Member of the research Laboratory “Quantitative Economics and
Finance”, Institute of Higher Commercial Studies of Sousse, Tunisia.
Research Interests
Environmental and Natural Resource Economics;
Economic Growth and Sustainable Development;
Time Series and Panel Data Econometrics.
Publications in Refereed Journals (in English)
1. “Economic growth and pollutant emissions in Tunisia: An empirical analysis of the
environmental Kuznets curve”, with M. Fodha, Energy Policy, n°38(2), [2010].
This paper investigates the relationship between economic growth and
pollutant emissions for a small and open developing country, Tunisia,
during the period 1961-2004. The investigation is made on the basis of
the environmental Kuznets curve hypothesis, using time series data and
cointegration analysis. Carbon dioxide (CO2) and sulfur dioxide (SO2) are
used as the environmental indicators, and GDP as the economic indicator.
Our results show that there is a long-run cointegrating relationship
between the per capita emissions of two pollutants and the per capita
GDP. An inverted U relationship between SO2 emissions and GDP has
been found, with income turning point approximately equals to $1200
(constant 2000 prices) or to $3700 (in PPP, constant 2000 prices).
However, a monotonically increasing relationship with GDP is found more
appropriate for CO2 emissions. Furthermore, the causality results show
that the relationship between income and pollution in Tunisia is one of
unidirectional causality with income causing environmental changes and
not vice versa, both in the short-run and long-run. This implies that an
emission reduction policies and more investment in pollution abatement
expense will not hurt economic growth. It could be a feasible policy tool
for Tunisia to achieve its sustainable growth in the long-run.
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Publications in Refereed Journals (in French)
1. “Analyse des politiques fiscales de l’environnement en Tunisie : simulation à l’aide
d’un modèle à générations imbriquées”, (en soumission) avec L. Belkacem, Revue
d'Economie Régionale et Urbaine.
Dans cet article nous étudions les conséquences des différentes politiques
fiscales environnementales sur l’économie tunisienne ainsi que la
possibili d’occurrence d’un double dividende. Pour ce faire, nous
développons un modèle d’équilibre général calculable à générations
imbriquées avec deux catégories d’agents : des travailleurs non qualifiés
et des travailleurs qualifiés, ainsi que deux secteurs productifs polluants :
le secteur agricole et le secteur industriel. Nous avons deux sources de
pollution : celle provenant de la consommation des deux biens polluants
(agricoles et industriels) d’une part et la pollution consécutive à
l’utilisation du facteur énergétique également polluant par ces deux
secteurs. L’État collecte un ensemble de prélèvements fiscaux dont une
partie est destinée au financement des politiques environnementales.
C’est de l’usage qui est fait de ces prélèvements dont il est question. En
effet, les résultats de nos scénarios de simulations montrent que
l’affectation des recettes des taxes environnementales aux dépenses
publiques non environnementales, tout en laissant fluctuer le budget de
l’activité de dépollution au g de l’activité économique, ne permet pas
d’obtenir un double dividende. En revanche, l’affectation de ces recettes
au secteur de dépollution, sous l’hypothèse de neutralité budgétaire, est
une démarche indispensable à l’occurrence d’un double dividende pour
l’économie tunisienne.
Working Papers
1. “Economic growth and environmental degradation in Tunisia: An empirical analysis
of the environmental Kuznets curve”, with M. Fodha, [2009]. 5th International
Colloquium on Energy, Climate Change and Sustainable Development.
Hammamet, Tunisia, June 2009, mimeo.
2. “Industrial waste management in Tunisia: Theoretical analysis and empirical
evidence”, with F. Mansouri, [2004]. 4th Annual International Congress on
Environment and Identity in the Mediterranean. University of Corsica, France, July
2004, mimeo.
3. “Environmental policy, distorting taxes on labor, welfare gains and double
dividend” [2004]. 16th Annual Conference on Development, Growth and
Institution. University of Perpignan. France, February 2003, mimeo.
4. “The effects of environmental taxes on the labor market in Tunisia” [2003].
Doctoral seminar organized by EMMA GDRI, Jean Monnet Faculty, Paris, France,
March 2003.
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Teaching Experiences
2010-2012 Applied Econometrics for graduate students (Master 1) at the
Higher School of Economic and Commercial Sciences of Tunis, 42
hours.
2008-2010 Environmental Economics for undergraduate students (Licence
3), Higher School of Economic and Commercial Sciences of Tunis,
21 hours.
2005-2008 Econometric for undergraduate students (Licence 3), Higher
School of Economic and Commercial Sciences of Tunis, 42 hours.
2004-2005 Inferential Statistics for undergraduate students (Licence 2)
,Higher School of Economic and Commercial Sciences of Tunis, 42
hours.
2003-2004 Quantitative Techniques for undergraduate students (Licence 3),
Higher School of Economic and Commercial Sciences of Tunis, 42
hours.
2001-2003 Descriptive Statistics and Probability for undergraduate
students (Licence 1), Higher School of Economic and Commercial
Sciences of Tunis, 42 hours.
Computer Skills
World - Excel - PowerPoint
Eviews – Stata - R - SPSS
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