Gnh - Qualitative and Quantitative Indicators

Qualitative and Quantitative Indicators

There is no exact quantitative definition of GNH, but elements that contribute to GNH are subject to quantitative measurement. Low rates of infant mortality, for instance, correlate positively with subjective expressions of well-being or happiness within a country. The practice of social science has long been directed toward transforming subjective expression of large numbers of people into meaningful quantitative data; there is no major difference between asking people "how confident are you in the economy?" and "how satisfied are you with your job?"

GNH, like the Genuine Progress Indicator, refers to the concept of a quantitative measurement of well-being and happiness. The two measures are both motivated by the notion that subjective measures like well-being are more relevant and important than more objective measures like consumption. It is not measured directly, but only the factors which are believed to lead to it.

According to Daniel Kahneman, a Princeton University psychologist, happiness can be measured using the day reconstruction method, which consists in recollecting memories of the previous working day by writing a short diary.

A second-generation GNH concept, treating happiness as a socioeconomic development metric, was proposed in 2006 by Med Jones, the President of International Institute of Management. The metric measures socioeconomic development by tracking seven development areas including the nation's mental and emotional health. GNH value is proposed to be an index function of the total average per capita of the following measures:

1. Economic Wellness: Indicated via direct survey and statistical measurement of economic metrics such as consumer debt, average income to consumer price index ratio and income distribution
2. Environmental Wellness: Indicated via direct survey and statistical measurement of environmental metrics such as pollution, noise and traffic
3. Physical Wellness: Indicated via statistical measurement of physical health metrics such as severe illnesses
4. Mental Wellness: Indicated via direct survey and statistical measurement of mental health metrics such as usage of antidepressants and rise or decline of psychotherapy patients
5. Workplace Wellness: Indicated via direct survey and statistical measurement of labor metrics such as jobless claims, job change, workplace complaints and lawsuits
6. Social Wellness: Indicated via direct survey and statistical measurement of social metrics such as discrimination, safety, divorce rates, complaints of domestic conflicts and family lawsuits, public lawsuits, crime rates
7. Political Wellness: Indicated via direct survey and statistical measurement of political metrics such as the quality of local democracy, individual freedom, and foreign conflicts.

The above seven metrics were incorporated into the first Global GNH Survey.

Ed Diener, a psychologist from the University of Illinois at Urbana-Champaign, has developed a scale referred to as subjective well-being, a concept related to happiness and quality of life, which has been used to compare nations to each other on this construct. This study found that "high income, individualism, human rights, and social equality correlated strongly with each other, and with SWB" (p. 851, abstract).

Adam Kramer, a psychologist from the University of Oregon, has developed a behavioral model of "Gross National Happiness" based on the use of positive and negative words in social network status updates, resulting in a quantitative GNH metric.