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A regional perspective on poverty in Myanmar - United Nations ...

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Poverty <strong>in</strong> <strong>Myanmar</strong> 9<br />

Figure 4: Poverty gaps <strong>in</strong> c<strong>on</strong>stant MMK 2005 and 2010<br />

Total<br />

Yang<strong>on</strong><br />

Tan<strong>in</strong>thayi<br />

Shan (East)<br />

Shan (North)<br />

Shan (South)<br />

Saga<strong>in</strong>g<br />

Rakh<strong>in</strong>e<br />

M<strong>on</strong><br />

Mandalay<br />

Magwe<br />

Kay<strong>in</strong><br />

Kayah<br />

Kach<strong>in</strong><br />

Ch<strong>in</strong><br />

Bago (West)<br />

Bago (East)<br />

Ayeyarwady<br />

49238<br />

73653<br />

41121<br />

67983<br />

65906<br />

42399<br />

68142<br />

59426<br />

43441<br />

74198<br />

41897<br />

70246<br />

52582<br />

72040<br />

45774<br />

69564<br />

51959<br />

71471<br />

41761<br />

70474<br />

45294<br />

39492<br />

29808<br />

56363<br />

75092<br />

53675<br />

34098<br />

52542<br />

42786<br />

63686<br />

47373<br />

88349<br />

85217<br />

94412<br />

106419<br />

135848<br />

2005, <strong>in</strong> 2010 prices 2010<br />

The average shortfall (at Uni<strong>on</strong> level) of 60,184 was more or less equivalent to 30 days of <strong>in</strong>come per<br />

year (at 2,000 Kyat per day). This does first not appear unachievable to solve, if compared to India’s<br />

100 days programme. But it has to be seen <strong>on</strong> a per pers<strong>on</strong> level and needs to be adjusted to<br />

workdays per household member who can work (ec<strong>on</strong>omic dependency ratio).<br />

Adjusted <strong>poverty</strong> l<strong>in</strong>es and gaps<br />

Poverty can be reduced by <strong>in</strong>creas<strong>in</strong>g the <strong>in</strong>come of the poor, or by reduc<strong>in</strong>g the cost of goods and<br />

services they c<strong>on</strong>sume. It must be noted that a fixed m<strong>on</strong>etary <strong>poverty</strong> l<strong>in</strong>e could quickly lead to the<br />

assumpti<strong>on</strong> that <strong>on</strong>ly <strong>in</strong>come <strong>in</strong>creases of poor households can reduce <strong>poverty</strong>. This, however, is by<br />

no means the case: <strong>poverty</strong> is multi-facetted, and a poor household does not care about the absolute<br />

amount of <strong>in</strong>come he receives, but about the purchase power of this <strong>in</strong>come.<br />

There are <str<strong>on</strong>g>regi<strong>on</strong>al</str<strong>on</strong>g> disparities <strong>in</strong> the purchase power of households, which are not sufficiently<br />

reflected <strong>in</strong> the establishment of <strong>on</strong>e nati<strong>on</strong>al <strong>poverty</strong> l<strong>in</strong>e. These cost differences have been<br />

accounted for at household level with the help of the ‘Passche Price Index’. But for an accurate<br />

calculati<strong>on</strong> of <str<strong>on</strong>g>regi<strong>on</strong>al</str<strong>on</strong>g> differences <strong>in</strong> the cost of liv<strong>in</strong>g, <strong>in</strong>formati<strong>on</strong> <strong>on</strong> <str<strong>on</strong>g>regi<strong>on</strong>al</str<strong>on</strong>g>ly adjusted<br />

c<strong>on</strong>sumpti<strong>on</strong> baskets is necessary. As this <strong>in</strong>formati<strong>on</strong> is miss<strong>in</strong>g, a statistically correct break-down of<br />

the <strong>poverty</strong> and food <strong>poverty</strong> l<strong>in</strong>e to State and Regi<strong>on</strong> level is not possible. Nevertheless, <strong>in</strong>clud<strong>in</strong>g<br />

the PPI <strong>in</strong> the <strong>poverty</strong> gap calculati<strong>on</strong>s can provide at least an <strong>in</strong>dicator of directi<strong>on</strong>, assum<strong>in</strong>g that all<br />

States and Regi<strong>on</strong>s c<strong>on</strong>sume the same basket of goods.

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