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Quantifying production losses due to drought and submergence of rainfed rice at the household level using remotely sensed MODIS data

Listed author(s):
  • Mottaleb, Khondoker Abdul
  • Gumma, Murali K.
  • Mishra, Ashok K.
  • Mohanty, Samarendu

Combining remotely sensed Moderate Resolution Imaging Spectroradiometer (MODIS) data with Bangladesh Household Income and Expenditure Survey (HIES) data, this study estimates losses in rainfed rice production at the household level. In particular, we estimated the rice areas affected by drought and submergence from remotely sensed MODIS data and rice production from Household Income and Expenditure Survey (HIES) data for 2000, 2005 and 2010. Applying two limit Tobit estimation method, this study demonstrated that both drought and submergence significantly affected rice production. Findings reveal that on average, a one percent increase in drought affected area at district level reduces Aman season rice production by approximately 1382 kilograms per household on average, annually. Similarly, a one percent increase in drought area reduces rainfed Aus season rice production by approximately 693 kilograms per household, on average, annually. Based on the findings the paper suggests disseminating and developing drought and submergence tolerant rice and also short duration rice varieties to minimize loss caused by drought and submergence in Aus and Aman rice seasons.

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File URL: http://www.sciencedirect.com/science/article/pii/S0308521X14001267
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Article provided by Elsevier in its journal Agricultural Systems.

Volume (Year): 137 (2015)
Issue (Month): C ()
Pages: 227-235

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Handle: RePEc:eee:agisys:v:137:y:2015:i:c:p:227-235
DOI: 10.1016/j.agsy.2014.08.014
Contact details of provider: Web page: http://www.elsevier.com/locate/agsy

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  1. Shahidur R. Khandker, 2007. "Coping with flood: role of institutions in Bangladesh," Agricultural Economics, International Association of Agricultural Economists, vol. 36(2), pages 169-180, 03.
  2. Charlotte Benson & Edward J. Clay, 2004. "Understanding the Economic and Financial Impacts of Natural Disasters," World Bank Publications, The World Bank, number 15025, April.
  3. Thiruvengadachari, S. & Sakthivadivel, R., 1997. "Satellite remote sensing for assessment of irrigation system performance: a case study in India," IWMI Research Reports H020351, International Water Management Institute.
  4. Schultz, Theodore W, 1975. "The Value of the Ability to Deal with Disequilibria," Journal of Economic Literature, American Economic Association, vol. 13(3), pages 827-846, September.
  5. Sarker, Md. Abdur Rashid & Alam, Khorshed & Gow, Jeff, 2012. "Exploring the relationship between climate change and rice yield in Bangladesh: An analysis of time series data," Agricultural Systems, Elsevier, vol. 112(C), pages 11-16.
  6. Ly, Proyuth & Jensen, Lars Stoumann & Bruun, Thilde Bech & Rutz, Dominik & de Neergaard, Andreas, 2012. "The System of Rice Intensification: Adapted practices, reported outcomes and their relevance in Cambodia," Agricultural Systems, Elsevier, vol. 113(C), pages 16-27.
  7. Stephen Devereux, 2007. "The impact of droughts and floods on food security and policy options to alleviate negative effects," Agricultural Economics, International Association of Agricultural Economists, vol. 37(s1), pages 47-58, December.
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