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The Life Quality Index (LQI) is a calibrated compound social indicator of human welfare that reflects the expected length of life and enhancement of the quality of life through access to income. The Life Quality Index combines two primary social indicators: the life expectancy at birth, L, and the real gross domestic product per person, G, corrected for purchasing power parity as appropriate. Both are widely available and accurate statistics.

Basic concept

The three components of the Life Quality Index, L, G and q reflect three important human concerns: the duration of life, the creation of wealth, and the time available to enjoy life. The available lifetime to enjoy income from wealth creation acts as a multiplying factor upon the value of that wealth. Conversely, the amount of income one has to enjoy over the lifetime acts as a multiplier on the expected duration of life.

Unlike the United Nations’ Human Development Index (HDI), the LQI is derived based on considerations of the economics of human welfare. The HDI has been used primarily to rank nations in order of human welfare (development, quality of life). In contrast to the HDI, the LQI can also serve as an objective function for optimizing risk management practices and setting national or corporate goals to guide effective allocation of society’s scarce resources for the mitigation of risks to life. The LQI provides an important criterion for determination of net benefit to society – or a corporate entity - for improving the overall public welfare by reducing risks to life in a cost-effective manner.

In the accounting and assessment of human development, we can view the role of individuals as the principal means, or contributors, to development as well as the ends. For example, the productivity of an individual contributes directly to the aggregate wealth creation in a society. However, the income so generated (to whomsoever it may accrue) increases the capacity of society to provide the necessary means such as the required infrastructure (hospitals, schools, clean water, safe roads and structures). The adequacy of the infrastructure in turn benefits the individual via access to quality health and environment, education and means for cultural expression and enrichment. The LQI is a tool for enhancing our decision-making capacity to promote a rational basis for the management of risks to life and health. It brings into a sharper focus the choices and trade-offs we have to make between the costs incurred to support extension of life and its linkage to the creation of productive wealth available for the allocation of scarce resources.

Formulation

The mathematical expression for the Life-Quality Index is: LQI = LG, showing the LQI as a function of L, the life expectancy at birth and G, the Gross Domestic Product (GDP) per person. The parameter q is a constant either based on time-budget studies available for many countries (approximately equal to 1/5 for developed nations) or upon equal marginal utility of the growth of L and G easily available for all countries and can be updated when necessary.

Societal Capacity to Commit Resources (SCCR)

The LQI has been used to determine an acceptable level of expenditure that can be justifiably incurred on behalf of the public interest in exchange for a small reduction in the risk of death that results in improved life-quality for all. This limit of benefit can be considered as the societal capacity to commit resources to sustainable risk reduction. Suppose a portion of GDP, dG, is invested in implementing a program that affects public risk, thus modifying the life expectancy by a small amount dL. There is a net benefit if there is a net increase in LQI, dL. This criterion can be derived from the definition of L as: dL/L + qdG/G > 0, from which the limit of benefit, the Societal Capacity to Commit Resources (SCCR) to sustainable risk reduction, follows as: SCCR = G/(qL).

In conjunction with an actuarial life table the SCCR serves to evaluate life-saving interventions in place of the discredited “value of a statistical life.” Using data from the United Nations Development Programme (UNDP) for years 2000-20 for calibration and growths of L and G, Table 1 shows the 2023 values of LQI, dimensionless normalized to equal 1.00 for the World in year 2000, and the LQI rank for the 40 most highly developed countries. Table 2 gives 2023 values for country groupings defined by the UNDP for the HDI.

Table1. Life Quality Index 2023 rankings and values (World LQI₂₀₀₀ = 1.000)

Table 2. 2023 Data, Life Quality Index, and Societal Capacity to Commit Resources to Risk Reduction for regions and other country groupings

Application

The Life Quality Index is a decision tool serving to promote human development through better allocation of society’s scarce resources by reducing wasteful efforts on inefficient risk-reduction and identifying efficient alternatives. Given that the societal capacity to commit resources is limited, the LQI is a powerful indicator of merit amongst competing but desirable goods, such as for example level of resources to be directed at air pollution vs water pollution vs low probability, high consequence risks in the distant future.

Measuring Equality

The Life Quality Index has been used to derive an index of equality within a country, the Life Equality Index LEI. By separating the population into two sets, one half that has the higher and one that has the lower Life Expectancy at birth, and similarly dividing it according to GDP per capita. it defines three unequal sub-populations: two most unequal ones (each between 25% and 50% of the total) and an intermediate one. The LEI equals the LQI of the lowest sub-population as a fraction of the highest. Within a selection of 42 countries totaling 62 percent of the world population, the 2016 index ranged from 47% to 74%.

Further, countries can ranked by the lowest LQI of their three sub-populations, showing how well . The countries were also compared according to the LQI of their least fortunate sub-population (ILQI), indicating how well they fared in view of their country’s available social resources.

Using the Life Quality Index or SCCR to Judge Risk

Risks influence the LQI via the age- and sex-specific mortality, calculated by changes in an actuarial life table. The safety benefit is the gain in life expectancy at birth, or life extension expected upon implementation of the program. The cost effects must also be evaluated, measured as the effect on the real gross domestic product per person (with refinements that could include correction for purchasing power parity for international comparisons). The net benefit of a program is measured, according to the SCCR, by the resultant increases in real gross domestic product per capita and life expectancy, weighted by K. The Life Quality Index may be thought of as a refinement of monetary measures commonly used in cost-benefit analysis.

Net Benefit Criterion for Managing Risk

The objective is to maximize life expectancy subject to society’s capacity to commit resources in light of existing or future constraints. Reducing risk of death and disease translates into longer lives. The length of life extension for a population can be reliably measured as the effect on the gain in life expectancy (dL). Resources and monies (-dG) are required to achieve the gains, or increases, in life expectancy. If the resources are wisely spent, i.e., below the limit of benefit SCCR, then the gains in life expectancy will be sufficiently large that there is a net increase in the Life Quality Index (LQI). In contrast, if inordinate sums are spent on activities that do not save lives or result in only meagre life extension then there is a net decrease in the LQI.

Life Quality Index as a Tool for Managing Risk

The LQI is used in the calibration of standards by the Joint Committee on Structural Safety (see Rackwitz(2008)) and has thus found its way into currently valid standards (SIA 269 and ISO 2394).

Through numerous case studies and worked examples, it has been shown how the Life Quality Index can be used to assist decision-makers in evaluating the effectiveness of regulations and activities aimed at reducing risk to life and the environment. The LQI is a versatile tool that can be used to assess a wide range of risk management problems. The examples of application of LQI include:

• the effectiveness of standards and regulations for health and safety;
• harmonization of structural safety standards and design goals;
• assessment of air pollution standards;
• efficiency of life-saving interventions and estimates of the societal willingness (or capacity) to commit resources for safety.

Development of the Life Quality Index

The concept of the Life Quality Index was first initiated at the Institute for Risk Research, University of Waterloo, Waterloo, Ontario, Canada in the early 1990s The principal investigators involved in the development of the Life Quality Index were Professors Niels Lind, Jatin Nathwani and Mahesh Pandey. Two primary publication were Lind et al. and Nathwani et al. (1997).

See also

• Manchester Short Assessment of Quality of Life
• Gross National Happiness
• Bhutan GNH Index
• Happiness economics

References

1. Hicks, J.R. (1975). "The scope and status of welfare economics". Oxford Economic Papers. 27 (3): 307–326. doi:10.1093/oxfordjournals.oep.a041321.
2. Pandey, M.D.; Nathwani, J.S. (2007). "Foundational Principles of Welfare Economics Underlying the Life Quality Index for Efficient Risk Management". International Journal of Risk Assessment and Management. 7 (6–7): 862–883. doi:10.1504/IJRAM.2007.014664.
3. ^ Nathwani, J.S.; Pandey, M.D.; Lind, N.C. (2009). Engineering Decisions for Life Quality: How Safe is Safe Enough?. Springer. ISBN 978-1-84882-602-1
4. Lind, Niels (December 2019). "A Development of the Human Development Index". Social Indicators Research. 146 (3): 409–423. doi:10.1007/s11205-019-02133-9. ISSN 0303-8300. S2CID 255006776.
5. Nations, United. Data Center (Report). United Nations.
6. ^ Lind, Niels (2021-02-01). "Objective Inequality Indexes Joining Income with Life Expectancy Through the Life Quality Index of Sub-populations". Social Indicators Research. 153 (3): 781–794. doi:10.1007/s11205-020-02504-7. ISSN 1573-0921.
7. SIA 269 (2011) Erhaltung von Tragwerken, Annex B, Anforderungen an die Tragsicherheit, SwissCode (in German)
8. ISO 2394:2015, General principles on reliability for structures
9. Lind, Niels (October 2002). "Social and economic criteria of acceptable risk". Reliability Engineering & System Safety. 78 (1): 21–25. doi:10.1016/S0951-8320(02)00051-0.
10. Lind, Niels (2007). "Turning life into life expectancy: the efficiency of life-saving interventions". International Journal of Risk Assessment and Management. 7 (6/7): 884. doi:10.1504/IJRAM.2007.014665. ISSN 1466-8297.
11. ^ Pandey, M.D.; Nathwani, J.S. (April 2004). "Life quality index for the estimation of societal willingness-to-pay for safety". Structural Safety. 26 (2): 181–199. doi:10.1016/j.strusafe.2003.05.001.
12. ^ Lind, Niels C.; Nathwani, Jatin S.; Siddall, E. (1991). Managing risks in the public interest. Institute for Risk Research. Waterloo, Ontario: Institute for Risk Research, University of Waterloo. ISBN 978-0-9692870-6-3.
13. Maes, M A; Pandey, M D; Nathwani, J S (2003-06-01). "Harmonizing structural safety levels with life-quality objectives". Canadian Journal of Civil Engineering. 30 (3): 500–510. doi:10.1139/l02-112. ISSN 0315-1468.
14. Pandey, Mahesh D.; Nathwani, Jatin S. (February 2003). "Canada Wide Standard for Particulate Matter and Ozone: Cost-Benefit Analysis Using a Life Quality Index". Risk Analysis. 23 (1): 55–67. doi:10.1111/1539-6924.00289. ISSN 0272-4332. PMID 12635722. S2CID 8334183.
15. Rabl, Ari; Nathwani, Jatin; Pandey, Mahesh; Hurley, Fintan (February 2007). "Improving Policy Responses to the Risk of Air Pollution". Journal of Toxicology and Environmental Health, Part A. 70 (3–4): 316–331. doi:10.1080/15287390600884966. ISSN 1528-7394. PMID 17365594. S2CID 9337561.
16. Der Kiureghian, Armen, ed. (2003). Applications of statistics and probability in civil engineering: proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering, San Francisco, California, USA, July 6 - 9, 2003. Rotterdam: Millpress Science Publ. ISBN 978-90-5966-004-5.
17. Pandey, M.D.; Nathwani, J.S. (September 2003). "A conceptual approach to the estimation of societal willingness-to-pay for nuclear safety programs". Nuclear Engineering and Design. 224 (1): 65–77. doi:10.1016/S0029-5493(03)00062-1.
18. Nathwani, Jatin S.; Lind, Niels Christian; Pandey, Mahesh D. (1997). Affordable Safety by Choice: The Life Quality Method. Institute for Risk Research, University of Waterloo. ISBN 978-0-9696747-9-5.

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