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Infrastructure and Growth and Poverty in Bangladesh

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  • Raihan, Selim

Abstract

This paper has explored the relationship between infrastructure and growth and poverty in the context of the Bangladesh economy and in this context the paper has used three different techniques. The general conclusion is that infrastructure plays extremely significant role in promoting growth and alleviating poverty in Bangladesh. The construction of the district-wise Infrastructure Development Index (IDI) and ranking of the districts on IDI suggest that the districts which are close to the capital city are having higher IDIs than the districts which are far from the capital city. The cross-section regression results suggest that the district-wise variation in head-count poverty is well explained by the variation in the IDI and the district with higher IDIs are associated with lower head-count poverty. The SAM multiplier model indicates significant rise in gross output, household consumption and value-addition because investment in physical and social infrastructure. A 20 percent increase in infrastructural investment demand would lead to 8.17 percent rise in gross output, 8.07 percent rise in value-added or gross domestic product, and 7.12 percent rise in household consumption. The exercise using the CGE model suggests that 25 percent reduction in the transport margin in the sectors would lead to rise in the real GDP by 0.57 percent, fall in the general price index by 1.43 percent, rise in exports and imports by 0.83 and 0.95 percent, and rise in national welfare by 0.39 percent. Also, the national head-count poverty would fall by 1.24 percent. The poorer household groups are likely to experience higher reduction in poverty indices compared to their non-poor

Suggested Citation

  • Raihan, Selim, 2011. "Infrastructure and Growth and Poverty in Bangladesh," MPRA Paper 37882, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:37882
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    References listed on IDEAS

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    1. Shenggen Fan & Peter Hazell & Sukhadeo Thorat, 2000. "Government Spending, Growth and Poverty in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1038-1051.
    2. Fan, Shenggen & Zhang, Linxiu & Zhang, Xiaobo, 2002. "Growth, inequality, and poverty in rural China: the role of public investments," Research reports 125, International Food Policy Research Institute (IFPRI).
    3. Shahidur R. Khandker & Zaid Bakht & Gayatri B. Koolwal, 2009. "The Poverty Impact of Rural Roads: Evidence from Bangladesh," Economic Development and Cultural Change, University of Chicago Press, vol. 57(4), pages 685-722, July.
    4. Raihan, Selim & Khondker, Bazlul Haque, 2010. "Estimating the economic impacts of the Padma bridge in Bangladesh," MPRA Paper 37904, University Library of Munich, Germany.
    5. Taiwo Peace Ogun, 2010. "Infrastructure and Poverty Reduction: Implications for Urban Development in Nigeria," WIDER Working Paper Series wp-2010-043, World Institute for Development Economic Research (UNU-WIDER).
    6. Ogun, T. P., 2010. "Infrastructure and Poverty Reduction: Implications for Urban Development in Nigeria," WIDER Working Paper Series 043, World Institute for Development Economic Research (UNU-WIDER).
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    Cited by:

    1. Mbanda, Vandudzai & Bonga-Bonga, Lumengo, 2018. "Impacts of Public Infrastructure Investment in South Africa: A SAM and CGE-Based Analysis of the Public Economic Sector," MPRA Paper 90613, University Library of Munich, Germany.
    2. Pernia, Ernesto, 2012. "Infrastructure and Inclusive Growth," MPRA Paper 104910, University Library of Munich, Germany.
    3. United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West (ed.), 2012. "Regional Cooperation for Inclusive and Sustainable Development: South and South-West Asia Development Report 2012-2013," SSWA Books and Research Reports, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP) South and South-West Asia Office, number brr4, May.

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    More about this item

    Keywords

    Infrastructure; Growth; Poverty; Bangladesh; CGE;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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