Inclusive growth and the social development : Empirical investigation with the ECM models : Morocco's case
DOI:
https://doi.org/10.18559/rielf.2016.1.5Keywords:
economic growth, poverty, inclusive growth, causality, VARAbstract
The problematic of inclusive growth revives the debate on economic policies against poverty and sustainable development in countries in development. In order to reduce poverty signifi cantly, the rapid pace of growth is not only necessary; it must be sustainable in the long term and large scale in all sectors. Poverty and growth have been much discussed and analyzed separately by policymakers in previous decades. As for the inclusive growth strategy, it is an integration of these two areas of analysis, which involves the relationship between the determining macro and micro economic growth. This article examines the nature of the relationship between the macroeconomic environment and social development indicators, first using multiple regression method and, thereaft er, autoregressive vector models, as proposed by Toda Yamamoto (1995) in order to determine the direction of causality between the main macroeconomic variables, taking as a case in Morocco in the period 1980-2011. Furthermore, this study critically examines the paradigm of inclusive growth, exploring inclusive growth strategies implemented by the Moroccan policy makers. This review will determine whether these strategies are a myth or a reality through the identifi cation and prioritization of specific constraints in Morocco, health and education expenditures and the promotion of the sustainable and inclusive growth agriculture and rural development.
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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
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