The probable impacts of climate change on poverty - UNDP

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Hazard pr<strong>of</strong>ile Cyclone-May; Drought 1975 Cyclone-May; Tornado- Apr, 1977 <strong>The</strong> Probable Impacts <strong>of</strong> Climate Change on Poverty and Economic Growth and the Options <strong>of</strong> Coping with adverse Effect <strong>of</strong> Climate Change in Bangladesh GDP <strong>of</strong> three consecutive year (Million Taka) Crop Agriculture Previous yr. Next yr. Same yr. Average Production PY & N Y Decrease 22212 24457 25477 23334.5 -2142.5 Decrease in % -9.18 24457 26941 27381 25699 -1682 -6.55 Drought- 1978-79 27381 26841 26941 27111 170 0.63 Cyclone- Dec.; Drought 1981 28481 28794 27597 28637.5 1040.5 3.63 Drought- 1982 27597 29120 28794 28358.5 -435.5 -1.54 Cyclone- Oct & Nov 1983 28794 29155 29120 28974.5 -145.5 -0.50 Cyclone- May 1985 29155 139596 139599 84375.5 -55223.5 -65.45 Cyclone- 1986 139599 137119 139596 138359 -1237 -0.89 Riverine flood-1987 139596 134509 137119 137052.5 -66.5 -0.05 Cyclone- Nov.; Riverine flood 1988 Tornado & Nor’wester-Apr; Riverine flood; flash flood, 2004 Source: BBS, Wikipedia, CDMP, SMRC. 137119 150828 134509 143973.5 9464.5 6.57 Tornado- April; Drought; 134509 152575 150828 143542 -7286 -5.08 Riverine flood 1989 Cyclone- Apr, May, 1991 152575 156392 154640 154483.5 -156.5 -0.10 Cyclone- May,Nov 1992 154640 157203 156392 155921.5 -470.5 -0.30 Tornado-Jan & May; Riverine flood; River erosion-June, 1993 Cyclone- Apr.; Drought 1994 Cyclone-Nov. 1995 (2); Tornado-Sep. 1995 156392 148068 157203 152230 -4973 -3.27 157203 152168 148068 154685.5 6617.5 4.28 148068 255376 152168 201722 49554 24.57 Tornado- May, 1996 152168 258098 255376 205133 -50243 -24.49 Cyclone- May, Sept., Tornado- Oct. 1997 255376 266136 258098 260756 2658 1.02 Cyclone-May, Nov., Tornado-July; Riverine Flood 1998 258098 287688 266136 272893 6757 2.48 Tornado- March1999 266136 305481 287688 285808.5 -1879.5 -0.66 Tornado-Sep.; Riverine flood; Flash flood 2000 287688 298187 305481 292937.5 -12543.5 -4.28 Tornado-May,; Nor’wester- Apr , 2003 306765 320339 319875 313552 -6323 -2.02 319875 336439 320339 328157 7818 2.38 71
7.4.3 Impacts <strong>of</strong> Flood on Different Types <strong>of</strong> Livelihoods Exposure <strong>of</strong> households to flood varies by livelihood groups, and agriculture and agricultural labour dependent families are most affected due to their higher engagement in this sector. In Rajshahi division, 63% <strong>of</strong> households involved in agriculture and agricultural labour are exposed to flood. <strong>The</strong>refore, household dependent on agriculture is the most vulnerable livelihood group in this division. Similarly in Khulna, Barisal and Sylhet division, 54%, 51% and 49% <strong>of</strong> households are exposed to flood respectively which is significantly higher in number than those <strong>of</strong> Dhaka and Chittagong divisions. 7.4.3.1 % <strong>of</strong> HH Exposed to Flood in Khulna Division 7.4.3.2 % <strong>of</strong> HH Exposed to Flood in Chittagong Division Transport 4% Business 16% Service 6% Transport 3% Business 12% Industry 1% Handloom 2% Non-agri labor 4% 72 Service 9% Industry 1% Handloom 1% Non-agri labor 4% Other 9% Other 8% Agri Labor 26% Agri Labor 23% Agri/For/Live 31% Fishery 2% Agri/For/Live 37% Fishery 1% Service 15% Transport 4% Service 14% Transport 4% Other 18% Business 16% Business 16% Other 14% Industry 1% Agri/For/Live 23% Fishery 2% Agri Labor 18% Non-agri labor 3% Handloom 0% Industry 1% 7.4.3.3 % <strong>of</strong> HH Exposed to Flood in Rajshahi Division 7.4.3.4 % <strong>of</strong> HH Exposed to Flood in Dhaka Division Agri/For/Live 30% Fishery 1% Agri Labor 16% Non-agri labor 3% Handloom 1% <strong>The</strong> Probable Impacts <strong>of</strong> Climate Change on Poverty and Economic Growth and the Options <strong>of</strong> Coping with adverse Effect <strong>of</strong> Climate Change in Bangladesh
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Policy Study on The</strong
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Foreword The Gener
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5.2.1 Observed Changes 26 5.2.1.1 T
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List of Tables Tab
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x ADB Asian Development Bank AEZ Ag
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Executive Summary The</stro
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Flood, drought, cyclone, sea level
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Responding to The
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Goal 2: Achieve universal primary e
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The Probable Impac
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The Probable Impac
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One of the critica
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3.3.1.3 Interview with Key Experts
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4.1 Climate Change - Global Context
Page 38: the glaciers recede. Freshwater ava
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Page 44 and 45: during the month of</strong
Page 46 and 47: 5.3 Changes in Sea Level and Salini
Page 48 and 49: 5.4 Extreme Climatic Events Natural
Page 50 and 51: Source: BWDB, 2007 (Annual flood re
Page 52 and 53: Cyclone Year Maximum Wind Speed (Kp
Page 54: Table 5.12 Drought Affected Area 17
Page 58 and 59: 6.1 Context of Vul
Page 60 and 61: Reduction of crop
Page 62 and 63: estimated that 1.39, 1.26 and 14.48
Page 64 and 65: Table 6.9 Perception of</st
Page 66 and 67: extreme. Key difference will be fre
Page 68 and 69: 6.7 Industry and Infrastructure Cli
Page 70 and 71: 6.8.1 Impacts of C
Page 72 and 73: Table 6.14 Dengue outbreak history
Page 74: The Probable Impac
Page 78 and 79: 7. Relationship among clima
Page 80 and 81: of food insecurity
Page 82 and 83: Climatic Events The</strong
Page 84 and 85: This has moderate impacts</
Page 86 and 87: 7.4.1 Impacts of H
Page 90 and 91: 7.4.3.5 % of HH Ex
Page 92 and 93: Figure 7.1 Existing Impacts <strong
Page 97 and 98: Binding boats and nets with trees C
Page 103 and 104: Exposed Systems Forestry 86 Exposed
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Page 109 and 110: Exposed Systems Housing Aquaculture
Page 111: Exposed Systems Health Fogginess Di
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Page 117 and 118: 10.5 Immediate Projects for Impleme
Page 122 and 123: each ministry); focusing, to start
Page 125 and 126: 12.1 Climate Climate in a narrow se
Page 127 and 128: 20. MoEF (2005). National Adaptatio
Page 129 and 130: Sl No. Name and Designation Sector
Page 131 and 132: Sl No. Name and Designation Sector
Page 133: Exposed Systems Health Fogginess Di
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