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Multidimensional Poverty Index and Happiness

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Abstract

In recent years, income concepts have been criticized for being too narrow to capture human well-being. The broader “objective” capability approach and subjective well-being analyses have been highlighted as most prominent approaches which allow for well-being assessments beyond income. Recently, a combination of the capability and of the subjective well-being approach has been recommended to strengthen well-being analyses. Our paper further explores the relations of both approaches. Based upon micro data covering more than 2300 individuals from four villages in rural Karnataka (India), the paper empirically analyses to which degree objective capability deprivation reflected by the United Nations Development Programme’s Multidimensional Poverty Index coincides with reduced happiness. We find positive correlations between Multidimensional Poverty Index deprivation and lack of happiness for some dimensions; otherwise the correlation is weak for the majority of Multidimensional Poverty Index indicators. Our results suggest that “relativity” towards other villagers is crucial for happiness. Moreover, from a happiness perspective our findings show the necessity to integrate financial deprivation indicators and further “missing dimensions” of deprivation into the Multidimensional Poverty Index. Furthermore, it may be fruitful to measure multidimensional poverty on a household and individual level.

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Fig. 1

Source Model Village Data Base, own calculations and illustration, N = 995 households

Fig. 2

Source Model Village Data Base, own calculations, N = 2301 individuals

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Notes

  1. For more on the foundation and dimensions of Human Development refer to Sen (2009), Robeyns (2005) or to Veenhoven (2003) who discusses different capability sets required to achieve a happy life. For further information on the MPI see Sect. 2.2 or refer to Alkire and Robles (2015).

  2. For a detailed MPI description see Alkire and Santos (2010: 6–28) and Alkire and Santos (2011) for minor modifications; updates are highlighted in Alkire and Robles (2015).

  3. For relations of five personality traits, emotional intelligence and happiness see Hafen et al. (2011); for effects of emotional intelligence on subjective well-being refer to Koydemir et al. (2013).

  4. The villages are Chikanal, Chimalaggi, Kadivala and Mangalagudda, located in Bagalkot district.

  5. Access to drinking water was identified when people said they got their water from treated or untreated sources, public village taps, or covered wells.

  6. Note that this indicator differs from standard mortality statistics considering e.g. the number of deaths of children 0–5 years per 1.000 children. Here, the household is the unit of analysis and all household members are considered to be deprived if at least one child in the household has died (see Alkire and Santos 2010: 13).

  7. It has also been discussed that higher income may increase happiness only up to a certain level of income. For instance, Richard Easterlin (1974) has shown that in spite of GDP growth and increasing per capita income, happiness has not been rising in the U.S.

  8. Graham (2011: 113–116) finds that good social relations and friends can improve subjective well-being as a coping mechanism in the absence of public safety nets and because people value the support they get from and give to others. The significance of relational goods and interpersonal relationships for happiness has e.g. been addressed by Bruni (2008: 117).

  9. Alkire (2007: 356) emphasizes that the “ability to go about without shame” includes the tendency to experience emotions of shame when specific negative events occur, which requires subjective assessments as experiences and emotions are inherently subjective.

  10. As agency and empowerment reflect the extent to which “people feel themselves to be coerced and/or acting on their own initiative…” or to which “individuals feel empowered to bring about change” (Alkire 2007: 354) these feelings are inherently subjective and require subjective assessments.

  11. Inglehart et al. (2008) find the degree of democratisation and social tolerance to be major determinants of a growing sense of free choice and happiness. For political participation also refer to Graham (2011: 115–117).

  12. This amount corresponds to the rural poverty rate for Karnataka in 2005.

  13. Estimated marginal effects for all models are available upon request.

  14. Banerjee and Duflo (2007: 150) in contrast report that food shortages do negatively affect happiness. However, the difference may be due to the fact that fears and psychological stress in times of acute food shortages decrease happiness in the short-run but that people adapt to the long-run consequences of malnutrition.

  15. Contrary to many existing studies that find non-linearities in the relationship between age and happiness (e.g. Easterlin 2008), this cannot be confirmed for our villages. Corresponding estimations are not presented here.

  16. For example: almost all people in the four villages attach a very high value to the freedom to live a long and healthy life (Moczadlo et al. 2015: 555). However, as is shown here, even the death of household members does not necessarily reduce the peoples’ happiness. Therefore, to take into account their right to live and their freedom to live a long and healthy life which they highly value, mortality and health have to be assessed, irrespective of their impacts on happiness.

  17. The fact mentioned above that those who are more frequently ill are less happy does not contradict with the insignificance of unhealthy cooking, as many other health risks and diseases may make people unhappy.

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Acknowledgments

The paper uses micro-level household and individual data generated within an independent scientific evaluation of the “BayerCrop Science Model Village Project (MVP)”. Survey costs are funded by Bayer CropScience. The authors are independent in their research and have no conflict of interest. We thank two anonymous referees for their valuable comments. All remaining errors are our own.

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Correspondence to Harald Strotmann.

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Strotmann, H., Volkert, J. Multidimensional Poverty Index and Happiness. J Happiness Stud 19, 167–189 (2018). https://doi.org/10.1007/s10902-016-9807-0

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