American Journal of Environmental Protection

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Climate Change Induced Marginality: Households’ Vulnerability in the Meal Consumption Frequencies

Received: 12 May 2014    Accepted: 17 May 2014    Published: 30 May 2014
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Abstract

The paper examines the impact of recent cyclones Sidr and Aila on the vulnerability of the meal consumption frequencies of the marginalized poor households in the southern part of Bangladesh where tropical cyclones persuaded by adverse effect of climate change hit repeatedly the coastal districts. Last two cyclones Sidr in 2007 and Aila in 2009 invaded the southern part of Bangladesh and caused huge death tolls and casualties. The nexus among climate change-marginality and vulnerability is the main focus here. Households become marginalized when cyclones destroy houses, infrastructure, drinking water, sanitation and cropping lands through upsurge of sea water ensuing breaking down the traditional agricultural production system. Propensity score matching technique is used to find the impact of cyclones on vulnerability as the problem of selection biasedness may arise. From the various matching techniques it is evident that households those are affected by any of the last two cyclones Sidr and Aila exhibit about 9 to 14 percentage increase of the vulnerability in the meal consumption frequencies of the marginalized rural households. The ordered probit model demonstrate that the marginal effect of some household characteristics such as number of income sources, non-agricultural activities, migration, education, agricultural land, savings and safe drinking water exhibit significant negative effect whereas wage-earning and distance from roads exhibit positive effect with both extreme and moderate vulnerability.

DOI 10.11648/j.ajep.20140303.11
Published in American Journal of Environmental Protection (Volume 3, Issue 3, June 2014)
Page(s) 103-112
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Climate Change, Marginality, Vulnerability, Meal Consumption, Propensity Score Matching, Probit Model

References
[1] UNDP, “A Global Report: Reducing disaster risk: A chal-lenge for development,” United Nations Development Programme, 2004.
[2] UNCCD, “United Nations Convention to Combat Desertification in Countries Ex-periencing Serious Drought and/or Desertification, Par-ticularly in Africa,” 1996. www.unccd.int/convention/text/convention.php
[3] Nachtergaele, F., R. Biancalani, S. Bunning, and H. George, “Land Degradation Assessment: The LADA Ap-proach”, 19th World Congress of Soil Science, Brisbane, Australia, 2010.
[4] Nkonya, E., J. Pender, K. Kaizzi, E. Kato, S. Mugarura, H Ssali, and J. Muwonge, “Linkages between land management, land degradation, and poverty in Sub-Saharan Africa: The case of Uganda”, IFPRI Research Report #159, Washington D.C. 2008a.
[5] Von Braun, Joachim and Gatzweiler, Franz W., Marginality: Addressing the Nexus of Poverty, Exclusion and Ecology, Springer. 2014.
[6] Blaikie, P., Cannon, T., Davis, I. and Wisner, B., At Risk: Natural Harards, People’s Vulnerability, and Disasters. Routledge, London, UK. 1994.
[7] Ali, A., “Climate change impacts and adaptation assessment in Bangladesh,” Climate Research, V. 12, 1999, pp.109–116.
[8] Paul, B. K., “Why relatively fewer people died? The case of Bangladesh’s Cyclone Sidr,” Natural Hazards, V. 50(2), 2009, pp. 289–304.
[9] GoB, Bangladesh climate change strategy and action plan. Government of the People’s Republic of Bangladesh. 2009.
[10] Gray, W.M., “Tropical Cyclone Global Climatology,” WMO Technical Document WMO/TD No. 72, Vol. 1, WMO, Geneva, Switzerland, 1985, pp. 3-19.
[11] EMDAT, The Inter-national disaster database. Center for Research on the Epidemiology of Disaster. 2013. http://www.emdat.be/database.
[12] Paul, S. K. and Routray, J. K., “Household response to cyclone and in-duced surge in coastal Bangladesh: coping strategies and explanatory variables”, Natural Hazards, V. 57(2), 2011, pp. 477-499.
[13] Nicholls, R.J.N., Mimura, N. and Topping, J.C., “Climate Change in South and South-east Asia: Some Implications for Coastal Areas”, Journal of Global Environmental Engineering, V. 1, 1995, pp. 137–54.
[14] Knutson, T. R., McBride, J. L., Chan, J.; Emanuel, K., Holland, G., Landsea, C., Held, I., Kossin, J. P., Srivastava, A. K. & Sugi, M., “Tropical cyclones and climate change,” Nature Geoscience, vol 3, Nature Pub-lishing Group, 2010. pp.157-163
[15] Mendelsohn, R.; Emanuel, K.; Chonabayashi, S. & Bakkensen, L. The impact of climate change on global tropical cyclone damage Nature Climate Change, Nature Publishing Group, 2012, 2, pp. 205-209
[16] Schmuck, H., Living with the floods: Survival Strategies of Char-Dwellers in Bangladesh, Berlin: FDCL.1996.
[17] Rashid, S. F., “The Urban Poor in Dhaka City: Their Struggles and Coping Strategies during the Floods of 1998”, Disasters, V. 24 (3), 2000, pp. 240-53.
[18] Del Ninno, C., Dorsch, P. A. and Smith, L. C., “Public policy markets and household coping strategies in Bangladesh: Avoiding a food security crisis following the 1998 floods,” World Development, V.31 (7), 2003, pp. 1221–1238.
[19] Rasid, H. and Haider, W., “Flood-plain residents’ preferences for water level manage-ment options in flood control projects in Bangladesh”, Natural Hazards, V. 28(1), 2003, pp. 101–129.
[20] Brouwer, R., Akter, S., Brander, L. and Haque, E., “Socio-economic vulnerability and adaptation to environmental risk: A case study of climate change and flooding in Bangladesh,” Risk Analysis, V. 27(2), 2007, pp. 313-326.
[21] Paul, S. K. and Routray, J. K., “Flood proneness and coping strategies: the experiences of two villages in Bangladesh”, Disasters, V. 34(2), 2010, pp. 489-508.
[22] Dube, S. K., Sinha, P. C. and Roy, G. D., “Numerical Simulation of Storm Surges in Bangladesh Using A Bay-River Coupled Model”, Coastal Engineering, V. 10(196), 1986, pp. 85-101.
[23] Madsen, H. and Jakobsen, F., “Cyclone induced storm surge and flood forecasting in the northern Bay of Bengal”, Coastal Engineering, V. 51(4), 2004, pp. 277–296.
[24] Islam, T. and Peterson, R. E., “Tropical Cyclone Wind Characteristics for the Bangladesh Coast Using Monte Carlo Simulation”, Journal of Applied Sciences, V. 8(9), 2008, pp. 1249-1255.
[25] Dube, S. K., Chittibabu, P., Sinha, P. C., Rao, A. D. and Murty, T. S., “Numerical Modelling of Storm Surge in the Head Bay of Bengal Using Location Specific Model”, Natural Hazards, V. 31, 2004, pp. 437–453.
[26] Jakobsen, F. and Azam, M. H., “Cyclone Storm Surge Levels Along the Bangladeshi Coastline in 1876 and 1960-2000”, Coastal Engineering Journal, V. 48(3), 2006, pp. 295-307.
[27] Islam, M. A., “Tropical cyclone, coastal Bangladesh” in G. F. White (ed.), Natural Hazards: Local, National, Global, Oxford University Press, New York, 1974, pp. 19–24.
[28] Murty, T. S. and El-Sabh, M., “Mitigating the Effects of Storm Surges Generated by Tropical Cyc-lones- A Proposal”, Natural Hazards, V. 6(3), 1992, pp. 251-273.
[29] Chowdhury, A. M. R., Bhuyia, A. U., Choudhury, A. Y. and Sen, R., “The Bangladesh cyclone of 1991: why so many people died,” Natural Hazards, V. 17(4), 1993, pp. 291-304.
[30] Jalan, J., & Ravallion, M., “Transient poverty in post-reform rural China”, Journal of Comparative, Vol. 26, No. 2:1998, pp338-387.
[31] Chambers, R., “Editorial introduc-tion: Vulnerability, coping and policy”, IDS Bulletin 202: 7. 1989.
[32] Ligon E., and Schechter, L., “Evaluating different approaches to estimating vulnerability”, Social protection discussion paper Series, No. 0410. 2004.
[33] Chaudhuri, S., Jalan, J., and Suryahadi, A., “Assessing household vulnerability to poverty from cross-sectional data: A methodology and estimates from Indonesia”, Columbia University Economics Department Discussion Paper No.:010252, 2002.
[34] Armendariz, A., and Morduch, J., The economics of microfinance. Cambridge, Massachusetts: The MIT Press. 2005.
[35] Kochar, A., “Explaining household vulne-rability to idiosyncratic income shocks”, American Eco-nomic Review, 85(2), 1995, pp.159-1964.
[36] Dercon, S., and Krishnan, P., “Vulnerability, seasonality and poverty in Ethiopia”, Journal of Development Studies, Vol. 366, No. 6, 2000, pp. 25–53.
[37] Günther, I., & Harttgen, K., “Vulne-rability to poverty in Madagascar”, Background paper prepared for the World Bank Social Protection Unit. 2005.
[38] InM, “PRIME intervention in the coastal areas of south-west Bangladesh”, Institute of Microfin-ance (InM), 2011.
[39] Khander, S.R., Khalily, B., and Samad, A., “Vulnerability to seasonal hunger and its mitigation in northwest Bangladesh”, Working Paper No. 4, 2010, Institute of Microfinance (InM).
[40] Hasan, M Monirul, “Does credit improve the food consumption vulnerability of the extreme poor? - Empirical evidence from Bangladesh”, MPRA Paper No. 28192. 2010. http://mpra.ub.uni-muenchen.de/28192/1/MPRA_paper_28192.pdf
[41] InM, “Impact of PRIME interven-tions of Monga mitigation in greater Rangpur region in Bangladesh”, Institute of Microfinance report 2010. http://www.prosperprogram.org/cms/ItemlibManagement/ItemLibrary/Doc/IL-208.pdf
[42] Khandker, S. R., Koolwal, G.B., and Samad, H. A., Handbook of impact evaluation- quantitative methods and practices. The World Bank. 2010.
[43] Godtland, E., Elisabeth, S., Alain, J., Rinku, M., and Oscar, O., “The impact of farmer- field-schools on knowledge and productivity: A study of potato farmers in the Peruvian Andes”, Eco-nomic Development and Cultural Change, 52 (1), 2004, pp. 129 58.
[44] Heckman, J., Ichimura, H., and Petra T., “Matching as an econometric evaluation estimator”, Review of Economic Studies, 65 (2), 1998, pp. 261–94.
[45] Caliendo, M., and Kopeinig, S., “Some practical guidance for the implementation of propensity score matching”, Journal of Economic Surveys, 22 (1), 2008, pp. 31–72.
[46] Sen, A., Poverty and Famines: An essay on entitlement and deprivation. Oxford Uni-versity Press, New York, NY. 1981.
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  • APA Style

    Hasan, Mohammad Monirul. (2014). Climate Change Induced Marginality: Households’ Vulnerability in the Meal Consumption Frequencies. American Journal of Environmental Protection, 3(3), 103-112. https://doi.org/10.11648/j.ajep.20140303.11

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    Hasan; Mohammad Monirul. Climate Change Induced Marginality: Households’ Vulnerability in the Meal Consumption Frequencies. Am. J. Environ. Prot. 2014, 3(3), 103-112. doi: 10.11648/j.ajep.20140303.11

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    AMA Style

    Hasan, Mohammad Monirul. Climate Change Induced Marginality: Households’ Vulnerability in the Meal Consumption Frequencies. Am J Environ Prot. 2014;3(3):103-112. doi: 10.11648/j.ajep.20140303.11

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  • @article{10.11648/j.ajep.20140303.11,
      author = {Hasan and Mohammad Monirul},
      title = {Climate Change Induced Marginality: Households’ Vulnerability in the Meal Consumption Frequencies},
      journal = {American Journal of Environmental Protection},
      volume = {3},
      number = {3},
      pages = {103-112},
      doi = {10.11648/j.ajep.20140303.11},
      url = {https://doi.org/10.11648/j.ajep.20140303.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajep.20140303.11},
      abstract = {The paper examines the impact of recent cyclones Sidr and Aila on the vulnerability of the meal consumption frequencies of the marginalized poor households in the southern part of Bangladesh where tropical cyclones persuaded by adverse effect of climate change hit repeatedly the coastal districts. Last two cyclones Sidr in 2007 and Aila in 2009 invaded the southern part of Bangladesh and caused huge death tolls and casualties. The nexus among climate change-marginality and vulnerability is the main focus here. Households become marginalized when cyclones destroy houses, infrastructure, drinking water, sanitation and cropping lands through upsurge of sea water ensuing breaking down the traditional agricultural production system. Propensity score matching technique is used to find the impact of cyclones on vulnerability as the problem of selection biasedness may arise. From the various matching techniques it is evident that households those are affected by any of the last two cyclones Sidr and Aila exhibit about 9 to 14 percentage increase of the vulnerability in the meal consumption frequencies of the marginalized rural households. The ordered probit model demonstrate that the marginal effect of some household characteristics such as number of income sources, non-agricultural activities, migration, education, agricultural land, savings and safe drinking water exhibit significant negative effect whereas wage-earning and distance from roads exhibit positive effect with both extreme and moderate vulnerability.},
     year = {2014}
    }
    

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  • TY  - JOUR
    T1  - Climate Change Induced Marginality: Households’ Vulnerability in the Meal Consumption Frequencies
    AU  - Hasan
    AU  - Mohammad Monirul
    Y1  - 2014/05/30
    PY  - 2014
    N1  - https://doi.org/10.11648/j.ajep.20140303.11
    DO  - 10.11648/j.ajep.20140303.11
    T2  - American Journal of Environmental Protection
    JF  - American Journal of Environmental Protection
    JO  - American Journal of Environmental Protection
    SP  - 103
    EP  - 112
    PB  - Science Publishing Group
    SN  - 2328-5699
    UR  - https://doi.org/10.11648/j.ajep.20140303.11
    AB  - The paper examines the impact of recent cyclones Sidr and Aila on the vulnerability of the meal consumption frequencies of the marginalized poor households in the southern part of Bangladesh where tropical cyclones persuaded by adverse effect of climate change hit repeatedly the coastal districts. Last two cyclones Sidr in 2007 and Aila in 2009 invaded the southern part of Bangladesh and caused huge death tolls and casualties. The nexus among climate change-marginality and vulnerability is the main focus here. Households become marginalized when cyclones destroy houses, infrastructure, drinking water, sanitation and cropping lands through upsurge of sea water ensuing breaking down the traditional agricultural production system. Propensity score matching technique is used to find the impact of cyclones on vulnerability as the problem of selection biasedness may arise. From the various matching techniques it is evident that households those are affected by any of the last two cyclones Sidr and Aila exhibit about 9 to 14 percentage increase of the vulnerability in the meal consumption frequencies of the marginalized rural households. The ordered probit model demonstrate that the marginal effect of some household characteristics such as number of income sources, non-agricultural activities, migration, education, agricultural land, savings and safe drinking water exhibit significant negative effect whereas wage-earning and distance from roads exhibit positive effect with both extreme and moderate vulnerability.
    VL  - 3
    IS  - 3
    ER  - 

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