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Inclusive Growth: A Poverty Approach

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  • Soleh, Ahmad

Abstract

The concept of inclusive growth (IG) was present in the last decade and together with the concept of pro-poor growth. Characteristic of the concept of inclusive growth is the active participation and contribution of the community in the development process. Several approaches have been developed in measuring inclusive growth. This study aims to measure inclusive growth using the provincial poverty approach (IGp) on the island of Sumatra for the period 2001-2016. The method of approach used in this study is descriptive analysis. The technique of collecting data uses library research. Poverty-Equivalent Growth Rate (PEGR) was developed in the measurement of inclusive growth. The results showed that the provincial economic growth on the island of Sumatra in general was not inclusive. The inclusive growth coefficient (IGp) in most provinces is positive but lower than the economic growth coefficient (Gg). The average IGp coefficient of Sumatra island is 0.032 lower than the Gg coefficient of 0.049. The performance of economic growth determines the value of the coefficient of economic growth and the coefficient of inclusive growth. However, the high economic growth of a region does not guarantee the realization of an inclusive growth. Quality economic growth is not only based on high economic growth achievements but the ability of economic growth to reduce poverty. Policies related to improving development and poverty alleviation programs need to be carried out in an integrated and synergic. manner between ministries or institutions from national to regional levels

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  • Soleh, Ahmad, 2022. "Inclusive Growth: A Poverty Approach," Technium Business and Management, Technium Science, vol. 2(2), pages 1-15.
    • Handle: RePEc:tec:busine:v:2:y:2022:i:2:p:1-15
    DOI: 10.47577/business.v2i2.6379
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    1. repec:agr:journl:v:5(594):y:2014:i:5(594):p:85-96 is not listed on IDEAS
    2. Deutsch, Joseph & Silber, Jacques, 2011. "On various ways of measuring pro-poor growth," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-57.
    3. Ravallion, Martin & Chen, Shaohua, 2003. "Measuring pro-poor growth," Economics Letters, Elsevier, vol. 78(1), pages 93-99, January.
    4. Farhad Khodadad KASHI & Mohammad Nabi SHAHIKI TASH, 2014. "Effects of macroeconomic variables on poverty in Iran (Application of bootstrap technique)," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(5(594)), pages 85-96, May.
    5. Raileanu Szeles, Monica, 2014. "A Multidimensional Approach to the Inclusiveness of economic Growth in the New Member States," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 5-24, June.
    6. Jairo Nunez & Silvia Espinosa, 2005. "Pro-Poor Growth And Pro-Poor Programs In Colombia," Documentos CEDE 3379, Universidad de los Andes, Facultad de Economía, CEDE.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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