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
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7.4.3.5 % <str<strong>on</strong>g>of</str<strong>on</strong>g> HH Exposed to Flood in Sylhet Divisi<strong>on</strong> 7.4.3.6 % <str<strong>on</strong>g>of</str<strong>on</strong>g> HH Exposed to Flood in Barisal Divisi<strong>on</strong><br />
Service<br />
6%<br />
Transport<br />
2%<br />
Business<br />
12%<br />
Industry<br />
1%<br />
Handloom<br />
0%<br />
Other<br />
19%<br />
N<strong>on</strong>-agri labor<br />
8%<br />
Agri/For/Live<br />
27%<br />
Fishery<br />
3%<br />
Agri Labor<br />
22%<br />
7.4.3.7 % <str<strong>on</strong>g>of</str<strong>on</strong>g> HH Exposed to Flood in Bangladesh<br />
Service<br />
10%<br />
Transport<br />
4%<br />
Business<br />
14%<br />
Industry<br />
1%<br />
Other<br />
13%<br />
Handloom<br />
1%<br />
N<strong>on</strong>-agri labor 4%<br />
7.4.4 Impacts <str<strong>on</strong>g>of</str<strong>on</strong>g> Cycl<strong>on</strong>e <strong>on</strong> Different Types <str<strong>on</strong>g>of</str<strong>on</strong>g> Livelihood<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g>re are 19 districts in the coastal belt <str<strong>on</strong>g>of</str<strong>on</strong>g> Bangladesh and table 03 shows the most vulnerable <strong>on</strong>es depending<br />
<strong>on</strong> frequency <str<strong>on</strong>g>of</str<strong>on</strong>g> being affected by cycl<strong>on</strong>e. <str<strong>on</strong>g>The</str<strong>on</strong>g> coastal districts are eventually vulnerable to cycl<strong>on</strong>e due to<br />
gevographical locati<strong>on</strong> but am<strong>on</strong>g those 19 coastal districts Patuakhali, Barisal, Cox’s Bazar, Khulna, Bhola,<br />
Noakhali, Chittag<strong>on</strong>g and Barguna are the most vulnerable districts depending <strong>on</strong> percentage <str<strong>on</strong>g>of</str<strong>on</strong>g> household<br />
being affected by cycl<strong>on</strong>es in the past 37 years.<br />
It is a matter <str<strong>on</strong>g>of</str<strong>on</strong>g> great regret that almost all the districts <str<strong>on</strong>g>of</str<strong>on</strong>g> Bangladesh have had bad experience <str<strong>on</strong>g>of</str<strong>on</strong>g> suffering from<br />
flood except for the hilly regi<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the country. <str<strong>on</strong>g>The</str<strong>on</strong>g>refore, to assess the actual impact <str<strong>on</strong>g>of</str<strong>on</strong>g> flood, a district wise<br />
vulnerability and damage assessment is required. In this case, the percentage <str<strong>on</strong>g>of</str<strong>on</strong>g> household involved in agriculture<br />
in each flood affected district has been calculated and their vulnerability has been assessed through multiplying<br />
the percentage with frequency <str<strong>on</strong>g>of</str<strong>on</strong>g> flood. Some details have been presented in the next secti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> the report.<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<br />
Service<br />
9%<br />
Transport<br />
2%<br />
Business<br />
15%<br />
Industry<br />
1%<br />
Handloom<br />
0%<br />
N<strong>on</strong>-agri labor<br />
5%<br />
Table 7.14: Exposure <str<strong>on</strong>g>of</str<strong>on</strong>g> Household Involved in Agriculture to Cycl<strong>on</strong>e<br />
Cycl<strong>on</strong>e 1970-2007<br />
District Times Total HH HH involved in<br />
Agri.<br />
Other<br />
12%<br />
Agri/For/Live<br />
31%<br />
Fishery<br />
2%<br />
Agri Labor<br />
20%<br />
HH affected<br />
in %<br />
Agri Labor<br />
21%<br />
Dhaka 1<br />
1666181 70827 4.25 4.25<br />
Agri/For/Live<br />
30%<br />
Fishery<br />
5%<br />
Vulnerability %<br />
73