La croissance inclusive et le développement social : Investigation empirique à l'aide des modèles ECM cas du Maroc

Auteurs

  • El Mustapha Kchirid Université de Marrakech
  • Lakhdar Adouka Université de Mascara
  • Zohra Bouguelli Université de Mascara

DOI :

https://doi.org/10.18559/rielf.2016.1.5

Mots-clés :

croissance économique, pauvreté, croissance inclusive, causalité, VAR

Résumé

La problématique de la croissance inclusive fait revivre les débats sur les politiques économiques de lutte contre la pauvreté et de développement durable dans les pays en développement. Afi n de réduire sensiblement la pauvreté, le rythme rapide de la croissance n'est pas seulement nécessaire, il doit être durable, à long terme et à grande échelle dans tous les secteurs. La pauvreté et la croissance ont été beaucoup discutées et analysées, séparément, par les décideurs politiques dans les décennies précédentes. Quant à la stratégie de croissance inclusive, celle-ci est une intégration de ces deux courants d'analyses, qui implique des relations entre la déterminante macro et micro économique de la croissance. Cet article examine la nature de la relation entre l'environnement macroéconomique et les indicateurs de développement social, en utilisant d'abord la méthode de régression multiple et, par la suite, les modèles vectoriels autorégressifs, comme proposé par Toda Yamamoto (1995), dans le but de déterminer le sens de la causalité entre les principales variables macro-économiques, en prenant comme cas d'application le Maroc au cours de la période 1980-2011. Par ailleurs, cette étude examine de façon critique le paradigme de la croissance inclusive, en explorant les stratégies de croissance inclusive mises en place par les décideurs politiques marocains. Cet examen permettra de voir si ces stratégies sont un mythe ou une réalité, grâce à l'identifi cation et la hiérarchisation des contraintes spécifi ques au Maroc, en matière de dépenses, de santé et d'éducation ainsi que la promotion de cette croissance durable et inclusive dans l'agriculture et le développement rural.

Téléchargements

Les données relatives au téléchargement ne sont pas encore disponibles.

Références

A.D.B., (2011), Asian Development Bank Annual Report 2010, vol. 1, Available at: http://www.adb.org/documents/reports/annual_report/2010/adb-ar2010-v1.pdf, pp. 16, [accès: 13.10.2011].
View in Google Scholar

Ali, I., (2007), Inequality and the Imperative for Inclusive Growth in Asia. Asian Deve- lopment Review, vol. 24(2), pp. 1–16, © Asian Development Bank. http://hdl.handle.net/11540/1700. License: CC BY 3.0 IGO.
View in Google Scholar

Barro, R.J., Sala-i-Martin, X., (2003), Economic Growth, Cambridge: MIT Press, pp. 23–73, 2nd Edition, Chapter-I, http://www.un.org/esa/desa/papers/2010/wp92_2010.pdf.
View in Google Scholar

Baulch, B., McCulloch, N., (2000), Simulating the Impact of Policy upon Chronic and Transitory Poverty in Rural Pakistan, Econometrics, (43), EconWPA, DOI/10.1080/00220380008422656.
View in Google Scholar

Besley, T., Cord, L., (2006), Delivering on the Promise of Pro-poor Growth: Insights and Lessons from Country Experiences, Basingstoke: Palgrave Macmillan Commission of Growth and Development, The Growth Report: Strategies for Sustained Growth and Inclusive Development Report, Avaiable at: cgd.s3.amazonaws.com/GrowthReportComplete.pdf, pg.1 DOI/10.1596/978–0-8213–6515–1 [accès: 4.10.2011].
View in Google Scholar

Bils, M., Klenow, P., (2000), Does Schooling Cause Growth?, The American Economic Review. Bourbonnais, R., (2002), Econométrie : cours et exercices corrigés, 4e éd, Dunod.
View in Google Scholar

Dickey, D.A., Fuller, W.A., (1979), Distribution of the Estimators for Autoregressive Time Series with a Unit Root, Journal of the American Statistical Association, DOI/10.1080/01621459.1979.10482531.
View in Google Scholar

Dickey, D.A., Fuller, W.A., (1981), Likelihood Ratio Statistics for Autoregessive Time Series with a Unit Root, Econometrica, http://dx.doi.org/10.2307/1912517.
View in Google Scholar

Dollar, D., (2001), Is globalization Good for Your Health?, Bulletin of the World Health Organization, vol. 79.
View in Google Scholar

Dollar, D., Kraay, A., (2002), Growth is Good for the Poor, Journal of Economic Growth, vol. 7. Dufour, J., Khalaf, L., Kichian, M., (2005), Inflation Dynamics and the New Keynesian Phillips Curve: An Identification Robust Econometric Analysis, Bank of Canada Working Paper 2005–27, DOI/10.1016/j.jedc.2005.08.013.
View in Google Scholar

Easterly, W., (1999), Life during Growth, Journal of Economic Growth, vol. 4, http://dx.doi.org/10.1596/1813–9450–2110.
View in Google Scholar

Elena, I., Susanna, L., (2009), What is Inclusive Growth?, available at: http://siteresources.worldbank.org/INTDEBTDEPT/Resources/468980-1218567884549/WhatIsInclusive-Growth20081230.pdf, DOI/10.1596/1813–9450–4851 [accès: 4.10.2011].
View in Google Scholar

Engle, R.F., Granger, C.W., (1987), Co-integration and Error Correction: Representation, Estimation and Testing, Econometrica, DOI/10.2307/1913236
View in Google Scholar

Engle, R.F., Yoo, S., (1987), Forecasting and Testing in Cointegrated Systems, Journal of Econometrics, DOI/10.1016/0304–4076(87)90085–6.
View in Google Scholar

Ghosh, J. (2010), Poverty Reduction in China and India: Policy Implications of Recent Trend, DESA Working Paper, no. 92, http://www.un.org/esa/desa/papers/2010/wp92_2010.pdf.
View in Google Scholar

Gujarati, D., (1995), Basic Econometrics, 3éme ed., McGraw-Hill, New York.
View in Google Scholar

Gujarati, D.N., (2004), Basic Econometrics, 4th ed., chapter 21–22, McGraw Hill, NewYork, pp. 792–868, http://www.hse.ru/data/2011/04/26/1210823708/Gujarati%20D.N.%20Basic%20Econometrics,%203e,%201995.pdf.
View in Google Scholar

Huang, J.-T., (2005), Labor Force Participation and Juvenile Delinquency in Taiwan a Time Series Analysis, Journal of Family and Economic, DOI/10.1007/s10834–006–9053–4.
View in Google Scholar

Johansen, S., Juselius, K., (1990), Maximum Likelihood Estimation and Inference on Cointegration with Applications to the Demand for Money, Oxford Bulletin of Economics and Statistics, DOI/10.1111/j.1468–0084.1990.mp52002003.x.
View in Google Scholar

Kakwani, N., Pernia, E., (2000), What is Pro-poor growth?, Asian Development Review, 18(1), file:///C:/Users/User/Downloads/KAKWANI%20%20PERNIA%20(2000)%20What%20is%20pro%20poor%20growth.pdf.
View in Google Scholar

Kakwani, N., Shahid, K., Hyun, H.S., (2004), Pro-Poor Growth: Concepts and Measurements with Country Case Studies, Working Paper #1 of theInternational Poverty Centre, Brasilia, http://www.ipc-undp.org/pub/IPCWorkingPaper1.pdf.
View in Google Scholar

Khan, H., (1986), Socio Economic Development of ASEAN: An International Perspective (Chapter-2), Singapore: Chopman Publisher, pp 13–28, http://www.ipc-undp.org/pub/IPCWorkingPaper1.pdf.
View in Google Scholar

Kuznet, (1955), Economic Growth and Income Inequality, The Amercan Economic Review, vol. XLV.
View in Google Scholar

Manly, B.F.J., (2005). Multivariate Statistical Methods: A Primer, 3, Chapter 6, Chapman and Hall/CRC, New York, pp. 75–90, DOI/10.1201/9781420034929.ax1.
View in Google Scholar

Mazumdar, K., (1996), An Analysis of Causal Flow between Social Development and Economic Growth: The Social Development Index, Americal Journal of Economics and Sociology, vol. 55(3), pp.361–383, DOI/10.1111/j.1536–7150.1996.tb02323.x.
View in Google Scholar

McKinely, T., (2009), Revisiting the Dynamics of Growth, Inequality and Povertyreduction, Centre for Development Policy and Research, SOAS, Discussion Paper, no. 25/90, DOI/10.1057/9780230250635.
View in Google Scholar

Mosconi, R., Giannini, C., (1992), Non-Causality in Cointegrated Systems: Representation Estimation and Testing, Oxford Bulletin of Economics and Statistics, http://dx.doi.org/10.1111/j.1468–0084.1992.tb00009.x.
View in Google Scholar

Newman, B., Thomson, R., (1989), Economic Growth and Social Development: A Longitudinal Analysis of Causal Priority, World Development, vol. 17, no. 4 DOI/10.1016/0305–750x(89)90255–6.
View in Google Scholar

Pritchett, L., Summers, L., (1996), Wealthier is Healthier, The Journal of Human Resources, vol. 31, no. 4, DOI/10.2307/146149.
View in Google Scholar

Rambaldi, A.N., Dora, H.E., (1996), Testing for Granger Non-Causality in Cointegrated Systems Made Easy, Working Paper in Econometrics and Applied Statistics, ISSN 0 157– 0188, ISBN 1 86389 352 0.
View in Google Scholar

Ranis, G., (2004), Human Development and Economic Growth, Centre Discussion Paper no. 887, USA: Yale University, Rd Edition, DOI:10.1016/S0305–750X(99)00131-X. Ravallion, M., (2004), Pro-Poor Growth: A Primer, Development Research Group: World
View in Google Scholar

Bank, DOI/10.1596/1813–9450–3242.
View in Google Scholar

Ravallion, M., Chen, S., (2003), Measuring Pro-Poor Growth, Economic Letters, vol. 78, pp. 93–99, DOI/10.1016/s0165–1765(02)00205–7.
View in Google Scholar

Roderick, D., (2006), Good Bye Washington Consensus, Hello Washington Confusion?, Cambridge, Haravard University Press, DOI/10.1257/jel.44.4.973.
View in Google Scholar

Saad-Filho, A., (2010), Growth, Poverty and Inequality: From Washington Consensus to Inclusive Growth, DESA Working Paper, no. 100, pp. 8–14, http://www.adb.org/documents/reports/annual_report/2010/adb-ar2010-v1.pdf, pp. 16 [accès: 13.10.2011].
View in Google Scholar

Schumpeter, J.A., (1975), Capitalism, Socialism and Democracy, Schumpeter, chapter VIII, NY: Harper and Row Pub, ISBN: 978–0-415–10762–4 eBook ISBN: 978–0-203–20205–0.
View in Google Scholar

Shan, J., Sun, F., (1998), Domestic Saving and Foreign Investment in Australia: a Granger Causality Test, International Economic Journal, DOI/10.1080/10168739800080030.
View in Google Scholar

Solow, R.M., (1956), A Contribution to the Theory of Economic Growth, The Quarterly Journal of Economic.
View in Google Scholar

Szirmai, A., (2005), The Dynamics of Socio-Economic Development: An Introduction, Chapter 5–7, UK, Cambridge University Press, pp. 141–248, DOI/10.1017/cbo9780511817342.
View in Google Scholar

Toda, H.Y., Phillips, P.C.B., (1993), Vector Autoregression and Causality: A Theoretical Overview and Simulation Study, Econometric Reviews, vol. 13, DOI/10.2307/2951647.
View in Google Scholar

Toda, H.Y., Yamamoto, T., (1995), Statistical Inference in Vector Autoregressions with Possibly Integrated Process, Journal of Econometrics, vol. 66, pp. 225–250, DOI/10.1016/0304–4076(94)01616–8.
View in Google Scholar

U.N., (2011), Millennium Development Goals Report-2011, available at: http://www.un.org/millenniumgoals/11_MDG%20Report_EN.pdf [accès: 17.10.2011].
View in Google Scholar

Wolde-Rufael, Y., (2008), Energy Consumption and Economic Growth: the Experience of African Countries Revisited, Energy Economics, vol. 31, pp. 217–224, DOI:10.1016/j.eneco.2008.11.005.
View in Google Scholar

World Bank, (2009), What is inclusive growth, site resources Worldbank.org/what is inclusive Growth 20081230.
View in Google Scholar

Téléchargements

Publiée

2016-06-30

Numéro

Rubrique

Article scientifique

Comment citer

Kchirid, E. M., Adouka, L., & Bouguelli, Z. (2016). La croissance inclusive et le développement social : Investigation empirique à l’aide des modèles ECM cas du Maroc. La Revue Internationale Des Économistes De Langue Française, 1(1), 85-107. https://doi.org/10.18559/rielf.2016.1.5

Articles similaires

111-120 sur 120

Vous pouvez également Lancer une recherche avancée de similarité pour cet article.