IDEAS home Printed from https://ideas.repec.org/p/gtr/gatrjs/gjbssr480.html
   My bibliography  Save this paper

The Determinants of Poverty: Case of Indonesia

Author

Listed:
  • Lilik Sugiharti

    (Faculty of Economics and Business, Airlangga University, Indonesia Author-2-Name: Martha Ranggi Primanthi Author-2-Workplace-Name: Faculty of Economics and Business, Airlangga University, Indonesia. Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

"Objective � The objectives of the study were to analyze the general picture of poverty, and determinants of poverty in Indonesia. Understanding poverty characteristic is a main point for designing an effective poverty reduction strategy. During the last five years Indonesia has experienced a slowing down growth and the poverty rates has declined slightly. Some provinces or regions have managed to reduce the poverty well, while others have been slower, and also the distribution of the poor is uneven across both rural and urban, generally the rural is more than urban area. Methodology/Technique � Factors determining poverty of households were estimated and anayzed using a logit regression model, and it is found that such demographic factors as gender and age of households head, size of households, factors of production included accessibility to the technology and credit, working status, and education attainment, and also geographic characteristics significantly explain reasons for being poor. Moreover, increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention. Findings � The results of the determinants of poverty in Indonesia shows that poor households are those with large number of dependents and equipped with limited education access, and the majority of these households live in rural area. Novelty � Study suggests that increasing for accessibility of households to the technology and credit, reducing the size of households, and increasing an education attainment especially in rural area are important to do as a government priority intervention or policy implications."

Suggested Citation

  • Lilik Sugiharti, 2017. "The Determinants of Poverty: Case of Indonesia," GATR Journals gjbssr480, Global Academy of Training and Research (GATR) Enterprise.
  • Handle: RePEc:gtr:gatrjs:gjbssr480
    as

    Download full text from publisher

    File URL: http://gatrenterprise.com/GATRJournals/pdf_files/GJBSSR%20Vol%205(3)%202017/8.CIMSSR-00319-Lilik-Sugiharti-GJBSSR-Vol5(3).pdf
    Download Restriction: http://gatrenterprise.com/GATRJournals/online_submission.html
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," NBER Chapters, in: Investment in Human Beings, pages 9-49, National Bureau of Economic Research, Inc.
    2. Benhabib, Jess & Spiegel, Mark M., 2005. "Human Capital and Technology Diffusion," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 13, pages 935-966, Elsevier.
    3. Amuedo-Dorantes, Catalina, 2004. "Determinants and Poverty Implications of Informal Sector Work in Chile," Economic Development and Cultural Change, University of Chicago Press, vol. 52(2), pages 347-368, January.
    4. Andersson, Magnus & Engvall, Anders & Kokko, Ari, 2006. "Determinants Of Poverty In Lao Pdr," EIJS Working Paper Series 223, Stockholm School of Economics, The European Institute of Japanese Studies.
    5. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2006. "Growth, distance to frontier and composition of human capital," Journal of Economic Growth, Springer, vol. 11(2), pages 97-127, June.
    6. Geda, A. & de Jong, N. & Mwabu, G. & Kimenyi, M.S., 2001. "Determinants of poverty in Kenya : a household level analysis," ISS Working Papers - General Series 19095, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    7. Awan, Masood Sarwar & Iqbal, Nasir & Muhammad, Waqas, 2011. "The impact of human capital on urban poverty: The case of Sargodha city," MPRA Paper 31829, University Library of Munich, Germany.
    8. World Bank, 2001. "World Development Report 2000/2001," World Bank Publications - Books, The World Bank Group, number 11856, December.
    9. Awan, Masood Sarwar & Malik, Nouman & Sarwar, Haroon & Waqas, Muhammad, 2011. "Impact of education on poverty reduction," MPRA Paper 31826, University Library of Munich, Germany.
    10. Francois Bourguignon, 2004. "The Poverty-growth-inequality triangle," Indian Council for Research on International Economic Relations, New Delhi Working Papers 125, Indian Council for Research on International Economic Relations, New Delhi, India.
    11. Ali, Sharafat & Ahmad, Najid, 2013. "Human Capital and Poverty in Pakistan: Evidence from the Punjab Province," MPRA Paper 48876, University Library of Munich, Germany, revised Aug 2013.
    12. Ravallion, Martin & Datt, Gaurav, 2002. "Why has economic growth been more pro-poor in some states of India than others?," Journal of Development Economics, Elsevier, vol. 68(2), pages 381-400, August.
    13. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dicarlo, Emanuele, 2022. "How Do Firms Adjust to Negative Labor Supply Shocks? Evidence from Migration Outflows," IZA Discussion Papers 14994, Institute of Labor Economics (IZA).
    2. Emanuele Dicarlo, 2022. "How do firms adjust to a negative labor supply shock? Evidence form migration outflows," Temi di discussione (Economic working papers) 1361, Bank of Italy, Economic Research and International Relations Area.
    3. Frederic DOCQUIER & Çaglar OZDEN & Giovanni PERI, 2010. "The Wage Effects of Immigration and Emigration," LIDAM Discussion Papers IRES 2010044, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    4. Frédéric Docquier & Joël Machado & Khalid Sekkat, 2015. "Efficiency Gains from Liberalizing Labor Mobility," Scandinavian Journal of Economics, Wiley Blackwell, vol. 117(2), pages 303-346, April.
    5. Serge Coulombe & Jean-Francois Tremblay, 2009. "Education, Productivity and Economic Growth: A Selective Review of the Evidence," International Productivity Monitor, Centre for the Study of Living Standards, vol. 18, pages 3-24, Spring.
    6. Schiffbauer, Marc, 2006. "Theoretical and methodological study on the role of public policies in fostering innovation and growth," Papers DYNREG04, Economic and Social Research Institute (ESRI).
    7. Dohse, Dirk & Ott, Ingrid, 2014. "Heterogenous skills, growth and convergence," Structural Change and Economic Dynamics, Elsevier, vol. 30(C), pages 52-67.
    8. Messinis, George & Ahmed, Abdullahi D., 2013. "Cognitive skills, innovation and technology diffusion," Economic Modelling, Elsevier, vol. 30(C), pages 565-578.
    9. Ng, Choy Peng & Law, Teik Hua & Wong, Shaw Voon & Kulanthayan, S., 2017. "Relative improvements in road mobility as compared to improvements in road accessibility and economic growth: A cross-country analysis," Transport Policy, Elsevier, vol. 60(C), pages 24-33.
    10. Sbaouelgi, Jihène, 2015. "L’impact de l’Enseignement Supérieur sur la Croissance Economique L'Impact de l'Enseignement Supérieur sur la Croissance Economique Cas de la Tunisie, le Maroc et la Corée du Sud [The Impact of Hig," MPRA Paper 66980, University Library of Munich, Germany.
    11. Erik Hornung, 2012. "Human Capital, Technology Diffusion, and Economic Growth - Evidence from Prussian Census Data," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 46.
    12. Yassine Jaber & Ismail Kabouri & Mohamed Bouzahzah & Ibourk Aomar & Mohamed Karim, 2022. "Economic growth and education in Morocco: Cointegration and Toda Yamamoto Granger Causality," Post-Print hal-03694377, HAL.
    13. Eric Hanushek & Ludger Woessmann, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Journal of Economic Growth, Springer, vol. 17(4), pages 267-321, December.
    14. Frédéric Docquier & Hillel Rapoport, 2012. "Globalization, Brain Drain, and Development," Journal of Economic Literature, American Economic Association, vol. 50(3), pages 681-730, September.
    15. Palakiyèm Kpemoua, 2016. "Levels Of Education And Economic Performances Of Togo [Niveaux D’Education Et Performances Economiques Du Togo]," Working Papers halshs-01506650, HAL.
    16. Glawe, Linda & Wagner, Helmut, 2022. "Is schooling the same as learning? – The impact of the learning-adjusted years of schooling on growth in a dynamic panel data framework," World Development, Elsevier, vol. 151(C).
    17. Tinatin Akhvlediani & Andrzej Cieślik, 2020. "Human capital, technological progress and technology diffusion across Europe: education matters," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(3), pages 475-493, August.
    18. M. Danquah & B. Ouattara, 2014. "Productivity Growth, Human Capital And Distance To Frontier In Sub-Saharan Africa," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(4), pages 27-48, December.
    19. Ott, Ingrid & Soretz, Susanne, 2011. "Public policies and convergence," Journal of Economic Dynamics and Control, Elsevier, vol. 35(9), pages 1435-1450, September.
    20. Unbreen Qayyum & Sohail Anjum & Samina Sabir, 2020. "Religion and economic development: new insights," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 793-834, November.

    More about this item

    Keywords

    Logit Regression; Poverty Reduction; Indonesia.;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I22 - Health, Education, and Welfare - - Education - - - Educational Finance; Financial Aid
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gtr:gatrjs:gjbssr480. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: http://gatrenterprise.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.