The probable impacts of climate change on poverty - UNDP
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The probable impacts of climate change on poverty - UNDP

The probable impacts of climate change on poverty - UNDP The probable impacts of climate change on poverty - UNDP

undp.org.bd
24.11.2012 Views

7.4.3.5 % ong>ofong> HH Exposed to Flood in Sylhet Division 7.4.3.6 % ong>ofong> HH Exposed to Flood in Barisal Division Service 6% Transport 2% Business 12% Industry 1% Handloom 0% Other 19% Non-agri labor 8% Agri/For/Live 27% Fishery 3% Agri Labor 22% 7.4.3.7 % ong>ofong> HH Exposed to Flood in Bangladesh Service 10% Transport 4% Business 14% Industry 1% Other 13% Handloom 1% Non-agri labor 4% 7.4.4 Impacts ong>ofong> Cyclone on Different Types ong>ofong> Livelihood ong>Theong>re are 19 districts in the coastal belt ong>ofong> Bangladesh and table 03 shows the most vulnerable ones depending on frequency ong>ofong> being affected by cyclone. ong>Theong> coastal districts are eventually vulnerable to cyclone due to gevographical location but among those 19 coastal districts Patuakhali, Barisal, Cox’s Bazar, Khulna, Bhola, Noakhali, Chittagong and Barguna are the most vulnerable districts depending on percentage ong>ofong> household being affected by cyclones in the past 37 years. It is a matter ong>ofong> great regret that almost all the districts ong>ofong> Bangladesh have had bad experience ong>ofong> suffering from flood except for the hilly region ong>ofong> the country. ong>Theong>refore, to assess the actual impact ong>ofong> flood, a district wise vulnerability and damage assessment is required. In this case, the percentage ong>ofong> household involved in agriculture in each flood affected district has been calculated and their vulnerability has been assessed through multiplying the percentage with frequency ong>ofong> flood. Some details have been presented in the next section ong>ofong> the report. ong>Theong> Probable Impacts ong>ofong> Climate Change on Poverty and Economic Growth and the Options ong>ofong> Coping with adverse Effect ong>ofong> Climate Change in Bangladesh Service 9% Transport 2% Business 15% Industry 1% Handloom 0% Non-agri labor 5% Table 7.14: Exposure ong>ofong> Household Involved in Agriculture to Cyclone Cyclone 1970-2007 District Times Total HH HH involved in Agri. Other 12% Agri/For/Live 31% Fishery 2% Agri Labor 20% HH affected in % Agri Labor 21% Dhaka 1 1666181 70827 4.25 4.25 Agri/For/Live 30% Fishery 5% Vulnerability % 73

Cyclone 1970-2007 District Times Total HH HH involved in Agri. 7.4.5 Causes and Impacts Relationship It is evident from the above sections that adverse ong>impactsong> ong>ofong> ong>climateong> related issues on different sectors and region will vary and at the same time ong>impactsong> on poverty and economic growth will also vary. It is found that adverse ong>impactsong> in the coastal area are severe compared to other regions and ong>impactsong> on poverty and economic growth are severe as well. Flood affects different sectors at different scale and ultimate ong>impactsong> on poverty and economic growth will be moderate. ong>Theong> following diagrams show level ong>ofong> ong>impactsong> ong>ofong> ong>climateong> related issues and their subsequent ong>impactsong> on poverty and economic grow. 74 HH affected in % Sylhet 1 412708 70326 17.04 17.04 Bagerhat 1 319004 86438 27.10 27.10 Kushtia 1 376927 105568 28.01 28.01 Jessore 1 519400 164039 31.58 31.58 Faridpur 1 345578 121069 35.03 35.03 Barguna 3 176648 67810 38.39 115.16 Chittagong 12 1180682 122180 10.35 124.18 Noakhali 8 451580 79944 17.70 141.63 Vulnerability % Bhola 5 325073 93812 28.86 144.29 Khulna 8 486611 89928 18.48 147.84 Cox's Bazar 10 290131 57465 19.81 198.07 Barisal 8 463319 114938 24.81 198.46 Patuakhali 9 282570 97221 34.41 309.65 Source: SMRC, 2003, Wikipedia, DAE and BBS, 2007 ong>Theong> Probable Impacts ong>ofong> Climate Change on Poverty and Economic Growth and the Options ong>ofong> Coping with adverse Effect ong>ofong> Climate Change in Bangladesh

Cycl<strong>on</strong>e 1970-2007<br />

District Times Total HH HH involved in<br />

Agri.<br />

7.4.5 Causes and Impacts Relati<strong>on</strong>ship<br />

It is evident from the above secti<strong>on</strong>s that adverse <str<strong>on</strong>g>impacts</str<strong>on</strong>g> <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>climate</str<strong>on</strong>g> related issues <strong>on</strong> different sectors and<br />

regi<strong>on</strong> will vary and at the same time <str<strong>on</strong>g>impacts</str<strong>on</strong>g> <strong>on</strong> <strong>poverty</strong> and ec<strong>on</strong>omic growth will also vary. It is found that<br />

adverse <str<strong>on</strong>g>impacts</str<strong>on</strong>g> in the coastal area are severe compared to other regi<strong>on</strong>s and <str<strong>on</strong>g>impacts</str<strong>on</strong>g> <strong>on</strong> <strong>poverty</strong> and ec<strong>on</strong>omic<br />

growth are severe as well. Flood affects different sectors at different scale and ultimate <str<strong>on</strong>g>impacts</str<strong>on</strong>g> <strong>on</strong> <strong>poverty</strong> and<br />

ec<strong>on</strong>omic growth will be moderate. <str<strong>on</strong>g>The</str<strong>on</strong>g> following diagrams show level <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>impacts</str<strong>on</strong>g> <str<strong>on</strong>g>of</str<strong>on</strong>g> <str<strong>on</strong>g>climate</str<strong>on</strong>g> related issues and<br />

their subsequent <str<strong>on</strong>g>impacts</str<strong>on</strong>g> <strong>on</strong> <strong>poverty</strong> and ec<strong>on</strong>omic grow.<br />

74<br />

HH affected<br />

in %<br />

Sylhet 1<br />

412708 70326 17.04 17.04<br />

Bagerhat 1<br />

319004 86438 27.10 27.10<br />

Kushtia 1<br />

376927 105568 28.01 28.01<br />

Jessore<br />

1<br />

519400 164039 31.58 31.58<br />

Faridpur 1<br />

345578 121069 35.03 35.03<br />

Barguna 3<br />

176648 67810 38.39 115.16<br />

Chittag<strong>on</strong>g 12<br />

1180682 122180 10.35 124.18<br />

Noakhali 8<br />

451580 79944 17.70 141.63<br />

Vulnerability %<br />

Bhola 5<br />

325073 93812 28.86 144.29<br />

Khulna 8<br />

486611 89928 18.48 147.84<br />

Cox's Bazar 10<br />

290131 57465 19.81 198.07<br />

Barisal 8<br />

463319 114938 24.81 198.46<br />

Patuakhali 9<br />

282570 97221 34.41 309.65<br />

Source: SMRC, 2003, Wikipedia, DAE and BBS, 2007<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> Probable Impacts <str<strong>on</strong>g>of</str<strong>on</strong>g> Climate Change <strong>on</strong> Poverty and Ec<strong>on</strong>omic Growth and<br />

the Opti<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> Coping with adverse Effect <str<strong>on</strong>g>of</str<strong>on</strong>g> Climate Change in Bangladesh

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