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Erschienen in: Social Indicators Research 2/2013

01.06.2013

Tracking Poverty Reduction in Bhutan: Income Deprivation Alongside Deprivation in Other Sources of Happiness

verfasst von: Maria Emma Santos

Erschienen in: Social Indicators Research | Ausgabe 2/2013

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Abstract

This paper analyses poverty reduction in Bhutan between two points in time—2003 and 2007—from a multidimensional perspective. The measures estimated include consumption expenditure as well as other indicators which are directly (when possible) or indirectly associated to valuable functionings, namely, health, education, access to electricity, safe water, improved sanitation, enough room per person in dwelling, access to roads and land ownership. Interestingly, most of these indicators have been identified as sources of happiness in the 2007 Gross National Happiness Survey. Twelve different measures are estimated with a variety of values for the different parameters involved for robustness analysis. Also, estimates are bootstrapped creating 95 % confidence intervals. We find that over the study period there was an unambiguous reduction in multidimensional poverty regardless of the indicators’ weights, deprivation cutoffs and identification criterion of the poor. This reduction was mainly led by a reduction in the proportion of the poor which was accompanied by a reduction in the intensity of poverty among those who were less intensively poor, although not among those who were more intensively poor. Rather than accomplishing this poverty reduction by improving achievements in one or two indicators, there were significant reductions in several deprivations, especially in access to roads, electricity, water, sanitation, and education. We also find that when income alone is used to target the poor, inclusion errors are marginal but exclusion errors are sizeable. Despite Bhutan’s significant progress, challenges remain as poverty is still high in rural areas. A multidimensional measure in the lines proposed in this paper can prove useful for monitoring poverty reduction, prioritizing groups and evaluating upon investment.

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Fußnoten
1
There is no information on GDP prior to 1981. Economic growth has been mainly fostered by hydropower development and the export of surplus electricity to India (RGB 2005b, p. 23).
 
2
In fact, the Tenth Plan (2008–2013) is significantly based on the MDGs, and poverty reduction is the overarching goal. However, the results of this plan cannot be analyzed with the data considered in this paper, as this corresponds to the years 2003 and 2007.
 
3
These HDI estimates are from the National Human Development Report (RGB 2005b) and differ from those in the Global Human Development Report (HDR) (UNDP 2011), which provides estimates only for the years 2010 and 2011. According to the global HDR, the HDI in 2010 is of 0.518, lower than that reported in the National Report for 2005.
 
4
A counting approach to multidimensional poverty measurement implies identifying the poor by counting the number of deprivations they experience. With the union approach to identification anyone experiencing at least one deprivation is considered multidimensionally poor.
 
5
It is said to measure acute poverty because it looks at people deprived in 33.33 % of the indicators and because the deprivation cutoffs used are relatively low-demanding, following international standards of the MDGs.
 
6
Recall periods in the 2007 BLSS for food items were last 1 week, last 1 month, and last 12 months, whereas in the 2003 BLSS they were last 1 week, typical month, and last 12 months. For non-food items, the recall period in 2007 BLSS was 12 months and last 1 month whereas it was only the last 12 months in 2003 BLSS (NSB 2007a).
 
7
However, the 2003 survey did not collect information on rural areas in the districts of Sandrupjongkhar and Sarpang (NSB 2003).
 
8
The 2,124 kcal per person per day is the nutritional norm applied in Nepal, and the NSB decided to follow it for the case of Bhutan. The NSB does not account for differences in nutritional requirements across age and sex, that is, they do not use equivalised scales. They do not account for economies of scale in the household either. Although it is a common practice to consider both issues in poverty estimates, it was decided to stick to the NSB methodology to make the results of this paper comparable to the official income poverty estimates.
 
9
The conversions to dollars use the midpoint exchange rate registered over the entire year. The non-food allowance is estimated averaging the non-food per capita expenditure of households in the reference population that spent for food a value near the food poverty line.
 
10
Although an absolute poverty line approach is followed for all indicators in this paper, it is worth noting that 1 acre is half of the median rural land holdings in 2007 and less than the country’s median land holdings (which is 1.32 acres).
 
11
Between 2002 and 2005, the proportion of the population without access to safe drinking water was reduced by two-thirds (RGB 2005a, p. 9).
 
12
Deprivation in cooking fuel has a spearman correlation coefficient with deprivation in electricity of 0.70 both in 2003 and 2007.
 
13
Haisken-DeNew and Sinning (2007) propose to derive weights for a multidimensional measure (of social inclusion) from the extent to which each of the considered characteristics contributes to the individual general life satisfaction using a linear fixed effects model. We cannot implement a similar procedure here because the data source from which we derive the weights (GNH Survey) differs from that which contains the material conditions of the household (BLSS).
 
14
The survey was conducted in the districts of Dagana, Tsirang, Wangdiphodrang, Samtse, Zhemgang, Pemagatshel, Samdrupjongkhar, Trashigang, Tashiyangtse, Gasa, Haa and Thimphu. This survey was repeated in 2010 using a bigger sample size but results were still not publicly available at the time of writing this paper. Moreover, using the 2007 GNH ranking matches the year of one of the BLSS used here.
 
15
The question was: What are the 6 or 7 things that you consider to be most important that leads to a happy and content life?
 
16
The list of ‘sources of happiness’ derived from this question of the GNHS, ranked in order of their preference reads: financial security (51.5 %), transportation (32.4 %), education (26.9 %), good health (26.6 %), family relationships (21.1 %), agricultural productivity (21.5 %), electricity (16.3 %), basic needs (food, clothing, shelter, cleaning drinking water; 16.1 %), land ownership (14.9 %), housing (14.1 %), good governance (13.5 % total), health infrastructure and facilities (11.6 % total), faith and spiritual practices (9.2 %), community relationship (8.5 %), job (8.5 %), national security (5.3 %), communication facilities (3.7 %), environment (2.9 %), sports (0.8 %) and travel (0.4 %).
 
17
This increase might be due to differences in the questionnaires as the 2007 BLSS covered many more food items (NSB 2007b).
 
18
Land holdings became more unequally distributed between 2003 and 2007. The Lorenz curve for 2003 strictly dominates that of 2003.
 
19
There is significant variation in the proportion of people deprived in clean water and improved sanitation by different data sources. The differences come from differences in survey codings as well as in the definitions used. Our figures for 2007 are close to those from the 2005 Population and Housing Census of Bhutan (PHCB) (RGB 2005c).
 
20
Nutritional information is available in the 2010 Bhutan Multiple Indicators Cluster Survey (BMICS), but this dataset does not contain consumption expenditure information and there is no other available BMICS dataset for comparison over time.
 
21
The MPI could not include overcrowding because this information is not present in many internationally comparable surveys as the MPI requires.
 
22
For a detailed description of the GNH Index see Ura et al. (2012a).
 
23
Both in the measure with seven indicators and in the one with nine indicators, when equal-nested weights are used, the 30 % cutoff is in practice equivalent to a cutoff of 33.33 % as used in the MPI (Alkire and Santos 2013b).
 
24
It is worth noting that despite the differences with the MPI, the proportion of the population identified as poor with the 30 % cutoff in the measure with seven indicators is just slightly higher than the proportion identified as poor by MPI using the 2010 BMICS, which is 27.2 % (HDR 2011).
 
25
With GNHS weights, given the high weight attached to consumption expenditure, the 30 % cutoff implicitly poses a lower requirement on the living standard dimension and a higher requirement on health and education. In fact, someone is poor if she is deprived in consumption expenditure, or in the health or education variables combined with room or electricity. With equal weights the 30 % cutoff implies deprivation in any three indicators. These alternative requirements produce lower poverty rates (20 % with GNHS weights and 17 % with equal weights in 2007).
 
26
The only exception is using equal weights in 2007, when poverty intensity with a k of 10 % is 27 % which in any case is close to 30 %.
 
27
Full estimation results are available in the Supplementary Data.
 
28
Although a k value of 10 % does not coincide with a union approach when GNHS or equal-nested weights are used, for the purposes of exclusion error, it works the same as if it was a truly union approach. This is because the weight attached to consumption expenditure is 11 % or higher in all the weighting structures except for the case of the measure with nine indicators and equal-nested weights (in which case exclusion error is marginally higher than the multidimensional headcount minus the income deprived).
 
29
These errors are a bit smaller with GNHS and equal weights with the measure with 7 indicators. With the measure of 9 indicators, the exclusion error is higher with equal weights than with equal-nested weights but lower with GNHS weights than with equal-nested weights.
 
30
In 2003, 81 % of the population lived in rural areas. This decreased to 73 % in 2007.
 
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Metadaten
Titel
Tracking Poverty Reduction in Bhutan: Income Deprivation Alongside Deprivation in Other Sources of Happiness
verfasst von
Maria Emma Santos
Publikationsdatum
01.06.2013
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 2/2013
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-013-0248-4

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