Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 258

The DOI matches its Crossref record; 140 of the 140 references it cites were found in a registry or an index.

A Short Guide to Gross National Happiness Index

Open access
Ura, Karma, Alkire, Sabina, Zangmo, Tshoki, Wangdi, Karma·2012

Abstract

Bhutan’s GNH Index is a multidimensional measure and it is linked with a set of policy and programme screening tools so that it has practical applications. The GNH index is built from data drawn from periodic surveys which are representative by district, gender, age, rural-urban residence, etc. Representative sampling allows its results to be decomposed at various sub-national levels, and such disaggregated information can be examined and understood more by organizations and citizens for their uses. In the GNH Index, unlike certain concepts of happiness in current western literature, happiness is itself multidimensional – not measured only by subjective well-being, and not focused narrowly on happiness that begins and ends with oneself and is concerned for and with oneself. The pursuit of happiness is collective, though it can be experienced deeply personally. Different people can be happy in spite of their disparate circumstances and the options for diversity must be wide. The GNH Index is meant to orient the people and the nation towards happiness, primarily by improving the conditions of notyet-happy people. We can break apart the GNH Index to see where unhappiness is arising from and for whom. For policy action, the GNH Index enables the government and others to increase GNH in two ways. It can either increase percentage of people who are happy or decrease the insufficient conditions of people who are not-yethappy. In the way the GNH Index is constructed, there is a greater incentive for the government and others to decrease the insufficiencies of not-yet-happy people. This can be done by mitigating the many areas of insufficiencies the not-yet-happy face. Not-yet-happy people in rural Bhutan tend to be those who attain less in education, living standards and balanced use of time. In urban Bhutan, not-yet-happy people are insufficient in non-material domains such as community vitality and culture and psychological well-being. In Thimphu, the capital, for example, the biggest insufficiencies are in community vitality. The GNH Index provides an overview of performance across 9 domains of GNH (psychological wellbeing, time use, community vitality, cultural diversity, ecological resilience, living standard, health, education, good governance). The aggregation method is a version of Alkire-Foster method (2007, 2011). The index is aggregated out of 33 clustered (grouped) indicators. Each clustered indicator is further composed of several variables. When unpacked, the 33 clustered indicators have 124 variables, the basic building blocks of GNH Index. Weights attached to variables differ, with lighter weights attached to highly subjective variables. A threshold or sufficiency level is applied to each variable. At the level of domains, all the 9 domains are equally weighted as they are all considered to be equally valid for happiness. Three cut off points have been used to identify degrees of happiness. Not all people need to be sufficient in each of 124 variables to be happy. People are diverse in the ways and means they can have fulfilling life. Not all variables need to be present to be happy. People have freedom of choice in which ways they can make life fulfilling, so not all variables have universal applicability. For such reason, we divide the Bhutanese into four groups depending upon their degree of happiness. We use three cutoffs: 50%, 66%, and 77%. People who have achieved sufficiency in less than 50% are ‘unhappy’, and they comprise only 10.4% of the population. A total of 48.7% of people have sufficiency in 50-65% of domains and are called ‘narrowly happy’. A group of 32.6%, called ‘extensively happy’, have achieved sufficiency in 66-76% – in between 6 and 7 domains. And in the last group, 8.3% of people are identified as ‘deeply happy’ because they enjoy sufficiency in 77% or more of weighted indicators – which is the equivalent of 7 or more of the nine domains. In order to have one overall index, the GNH cut off was set at 66% of the variables, which is the middle cutoff used above. People can be considered happy when they have sufficiency in 66% of the (weighted) indicators or more – that is, when they were identified as extensively happy or deeply happy. The GNH Index value for 2010 is 0.743. It shows us that 40.8% of people in Bhutan have achieved such happiness, and the remaining 59% - who are narrowly happy or unhappy - still enjoy sufficiency in 57% (not 66% as required by the index) of the domains on average. The cut off does make a difference in the GNH Index. The middle cutoff gives a relatively low score of GNH index is a result of its requirement that a diverse set of conditions and states, represented by 124 variables, must be simultaneously prevalent for a person to be robustly happy. It is a tougher measure because it is not focussed on survival like poverty, but rather on flourishing over a wide array of conditions. However the GNH Index, and the four categories of people – unhappy,

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.35648/20.500.12413/11781/ii025

Cites

140 of 140 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 140 references

Metadata

Authors
Ura, K., Alkire, S., Zangmo, T., & Wangdi, K.
Published
2012
OpenAlex
W1590420319
Cited by
258
References
140
Type
report
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A Short Guide to Gross National Happiness Index. https://app.cochat.ai/papers/10.35648/20.500.12413/11781/ii025
The paper
Ura, K., Alkire, S., Zangmo, T., & Wangdi, K. (2012). A Short Guide to Gross National Happiness Index. https://doi.org/10.35648/20.500.12413/11781/ii025

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.