The current paper constructs a progress measurement appropriate for measuring multiple and different dimensions of progress. The paper is not meant to be a detailed discussion of the framework but rather a demonstrated application of the measure. The constructed resource-infrastructure-environment progress measure employs a non-monetary evaluation adopting a weighting technique based on public opinion. The proposed index is assessed from a single summary standpoint. The aggregation method is evaluated via a z-score standardisation technique. The progress index is applied to three countries that are representative of different clusters. They are Australia (mid-industrialised nation), Mexico (emerging economy), and the US (highly industrialised nation). These selected countries provide an opportunity to highlight any divergences that may exist in their perceived economic strength. The results showed Australia as consistently having the highest levels of progress, closely followed by Mexico and then the US.
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The importance of human, social and environmental factors was acknowledged by the OECD (2007) World Forum on Statistics, Knowledge and Policy, ‘Measuring and Fostering the Progress of Societies’, held in Istanbul, Turkey, June 27–30. This is also reflected in the ABS 2002, 2004a, 2006 attempts to measure progress.
An illustration of this can be seen in the work of Bilmes and Stiglitz (2006). Using standard economic and accounting frameworks, the authors assessed the economic costs of the Iraqi War. Even with such a narrow focus, their estimate was between US$1026bn and US$2239bn. This estimate occurs even after they omitted some of the most important costs of the Iraqi venture, as well as excluding costs borne by other countries, indirect costs such as the price of oil, and more importantly, the costs of the war to Iraq.
It is an 1850 essay by Frederic Bastiat titled ‘Ce qu’on voit et ce qu’on ne voit pas (That Which Is Seen, and That Which Is Not Seen). The cost of repairing the window at the time was six francs.
A similar scenario involves ‘building palaces in the desert’.
The estimate made by Hazlitt (1979) is based on his assertion that had the price relationship between agricultural and industrial products contained any logic, then the notion of perpetually preserving price relationships should be extended to every commodity at that time relative to every other. This is what he did.
WEF (2005, p. 19) limit their concerns to addressing the misunderstandings of measuring environmental sustainability; however the multidimensional nature of that topic makes it relevant to this discussion.
Wolff and Resnick (1987) adopt Althusser’s concept of overdetermination regarding social formation. The term was first used in a social scientific context by Freud; however Althusser used it as a critique of classical Marxism’s determinism. His intention was to create space for a non-economist and non-reductionist analysis. Wolff and Resnick transform it into a post-structuralist version of Marxian theory.
Another two participatory approaches, although less popular, are the analytic hierarchy process and conjoint analysis.
This substitution rate dilemma is found in most environmental impact assessment studies where most aggregations follow the linear rule and weights are attached according to their relative importance idea (Funtowicz et al. 1990).
Although the strength of the weighted geometric mean lies with its better theoretical properties that can lead to less information loss (Zhu and Ang 2009; Zhou et al. 2006), it is often used on data transformed by the linear normalisation method. The weighted arithmetic method is often linked with the z-score transformation which was the method employed in this study.
The GPI was not included as no results for Mexico are available.
A supposed paradox is said to occur with the trend of Mexicans fleeing their home country to the US. The present paper claims that this is due to a fixation on notions of perceived progress, or material wealth, as opposed to an adherence to a comprehensive conception of progress.
Allen, R., Athanassopoulos, A., Dyson, R., & Thanassoulis, E. (1997). Weights restrictions and value judgements in data envelopment analysis: Evolution, development and future directions. Annals of Operations Research, 73(1), 13–34.
Australian Bureau of Statistics (ABS). (2002). Measuring Australia’s Progress 2002. cat. no. 1370.0. Canberra: ABS.
Australian Bureau of Statistics (ABS). (2004a). Measures of Australia’s Progress, 2004. cat no. 1370.0. Canberra: ABS.
Australian Bureau of Statistics (ABS). (2004b). Australian System of National Accounts 2003-04. cat. no. 5204.0. Canberra: ABS.
Australian Bureau of Statistics (ABS). (2006). Measures of Australia’s Progress 2006. cat. no. 1370.0, Canberra: ABS.
Babbie, E. R. (2004). The practice of social research. London: Wadsworth.
Banister, D., & Berechman, J. (2000). Transport investment and economic development. London: UCL Press.
Bastiat, F. (1850). That which is seen, and that which is not seen. Cited in Hazlitt, H. (1946). Economics in one lesson: The shortest and surest way to understand basic economics. New York: Crown Publishers.
Bilmes, L., & Stiglitz, J. (2006). The economic costs of the Iraq war: An appraisal three years after the beginning of the conflict. NBER Working Paper 12054. Cambridge: National Bureau of Economic Research.
Blanchflower, D. G., & Oswald, A. J. (2004). Well-being over time in Britain and the USA. Journal of Public Economics, 88(7–8), 1359–1386.
Booysen, F. (2002). An overview and evaluation of composite indices of development. Social Indicators Research, 59(2), 115–151.
Bouyossou, D. (1986). Some remarks on the notion of compensation in MCDM. European Journal of Operational Research, 26(1), 150–160.
Cahill, M. (2005). Is the human development index redundant? Eastern Economic Journal, 31(1), 1–5.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429–444.
Cherchye, L. (2001). Using data envelopment analysis to assess macroeconomic policy performance. Applied Economics, 33(3), 407–416.
Cherchye, L., Moesen, W., Rogge, N., & van Puyenbroeck, T. (2007). An introduction to ‘benefit of the doubt’ composite indicators. Social Indicators Research, 82(1), 459–488.
Cobb, C. W., Goodman, G. S., & Wackernagel, M. (1999). Why bigger isn’t better: The genuine progress indicator–1999 update. San Francisco: Redefining Progress.
Danforth, S. (2005). Engaging troubling students: A constructivist approach. California: Corwin Press.
Dijkstra, G. A., & Hanmer, L. (2000). Measuring socio-economics gender inequality: Towards an Alternative to the UNDP gender-related development index. Feminist Economics, 6(2), 41–75.
Easterlin, R. A. (1974). Does economic growth improve the human lot? Some empirical evidence. In P. A. David & M. W. Reder (Eds.), Nations and households in economic growth: Essays in honor of Moses Abramowitz (pp. 89–125). New York: Academic Press.
Easterlin, R. A. (1995). Will raising the incomes of all increase the happiness of all? Journal of Economic Behavior & Organization, 27(1), 35–47.
Easterlin, R. A. (2001). Income and happiness: Towards a unified theory. The Economic Journal, 111(473), 465–484.
Ebert, U., & Welsch, H. (2004). Meaningful environmental indices: A social choice approach. Journal of Environmental Economics and Management, 47(2), 270–283.
Freudenberg, M. (2003). Composite Indicators of Country Performance: A Critical Assessment. OECD Science, Technology and Industry Working Paper 2003/16. Pairs: OECD Directorate for Science, Technology and Industry.
Frey, B. S., & Stutzer, A. (2000). Happiness, economy and institutions. The Economic Journal, 110(466), 918–938.
Funtowicz, S. O., Munda, G., & Paruccini, M. (1990). The aggregation of environmental data using multicriteria methods. Environmetrics, 1(4), 353–368.
Griffin, K., & McKinley, T. (1992). Towards a human development strategy. Occasional paper no. 6. Geneva: Human Development Report Office.
Grootaert, C. (1998). Social capital: The missing link? Social capital initiative working paper no. 3. Washington, DC: World Bank.
Gurria, A. (2007). Measuring progress: Does it make a difference for policy-making and democracy? Presented at Second OECD World Forum on Statistics, Knowledge and Policy, ‘Measuring and Fostering the Progress of Societies’, 27–30 June, Istanbul, Turkey.
Hazlitt, H. (1979). Economics in one lesson. New York: Arlington House Publishers.
Hoskins, B. L., & Mascherini, M. (2009). Measuring active citizenship through the development of a composite indicator. Social Indicators Research, 90(3), 459–488.
Le Bot, J. M. (2002). Du Development Durable au Bien Public: Essai Anthropologique sur L’environnement et L’economie. Paris: L’Harmattan.
Lehtonen, M. (2004). The environmental-social interface of sustainable development: Capabilities, social capital, institutions. Ecological Economics, 49(2), 199–214.
Marks, N., Simms, A., Thompson, S., & Abdallah, S. (2006). The happy planet index: An index of human well-being and environmental impact. London: New Economics Foundation.
Maskell, P., & Malmberg, A. (1999). Localised learning and industrial competitiveness. Cambridge Journal of Economics, 23(2), 167–185.
McGillivray, M. (2005). Measuring non-economic well-being achievement. Review of Income and Wealth, 51(2), 337–364.
McGillivray, M., & White, H. (1993). Measuring development? The UNDP’s human development index. Journal of International Development, 5(2), 183–192.
Melyn, W., & Moesen, W. W. (1991). Towards a synthetic indicator of macroeconomic performance: Unequal weighting when limited information is available. Public economics research paper no. 17. Catholic University of Leuven: Centre for Economic Studies.
Michalski, J. H. (2001). Asking citizens what matters for quality of life in Canada: Results of CPRN’s public dialogue process. Ottawa: Canadian Policy Research Networks.
Munda, G. (1995). Multicriteria evaluation in a fuzzy environment: Theory and applications in ecological economics. Heidelberg: Physica-Verlag.
Munda, G. (2005). Multiple criteria decision analysis and sustainable development. In J. Figueira, S. Greco, & M. Ehrgott (Eds.), Multiple-criteria decision analysis: State of the art surveys (pp. 953–986). New York: Springer.
Munda, G., & Nardo, M. (2005a). Non-compensatory composite indicators for ranking countries: A defensible setting. EUR Report, EUR 21833 EN, European Commission. Ispra: Joint Research Centre.
Munda, G., & Nardo, M. (2005b). Constructing consistent composite indicators: The issue of weights. EUR Report, EUR 21834 EN, European Commission. Ispra: Joint Research Centre.
Nardo, M., Saisana, M., Saltelli, A., & Tarantola, S. (2005a). Tools for Composite Indicators Building. EUR Report, EUR 21682, European Commission. Ispra: Joint Research Centre.
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., & Giovannini, E. (2005b). Handbook on constructing composite indicators: Methodology and user guide. OECD Statistics Working Papers STD/DOC 2005/3. Paris: OECD.
Natoli, R., & Zuhair, S. (2007). The perils of measuring progress: A view from within. The International Journal of Interdisciplinary Social Sciences, 2(1), 281–288.
Natoli, R., & Zuhair, S. (2009). Human progress: Concepts and measurements. Saarbrücken, Germany: VDM Verlag.
Organisation for Economic Co-operation and Development (OECD). (2007). Measuring and fostering the progress of societies. Second OECD World Forum on Statistics, Knowledge and Policy. 27–30 June, Istanbul, Turkey.
Organisation for Economic Co-operation, Development, OECD. (2003). OECD environmental performance reviews water: Performance and challenges in OECD countries. Paris: OECD.
Organisation for Economic Co-operation, Development, OECD. (2004). OECD glossary of statistical terms. Paris: OECD.
Organisation for Economic Co-operation, Development, OECD. (2005). Society at a glance: OECD Social Indicators 2005. Paris: OECD.
Organisation for Economic Co-operation, Development, OECD. (2006). OECD factbook 2006: Economic. Environmental and Social Statistics. Paris: OECD.
Organisation for Economic Co-operation, Development, OECD. (2008). Handbook on constructing composite indicators: Methodology and user guide. Paris: OECD.
Oswald, A. J. (1997). Happiness and economic performance. The Economic Journal, 107(445), 1815–1831.
Parker, J. (1991). Environmental reporting and environmental indices. PhD Dissertation, Unpublished Thesis. Cambridge: University of Cambridge.
Podinovskii, V. V. (1994). Criteria importance theory. Mathematical Social Sciences, 27(3), 237–252.
Roy, B. (1996). Multicriteria methodology for decision aiding. Boston: Kluwer Academic Publishers.
Saisana, M., Saltelli, A., & Tarantola, S. (2005). Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society A, 168(2), 307–323.
Saisana, M., & Tarantola, S. (2002). State-of-the-Art report on current methodologies and practices for composite indicator development. EUR Report, EUR 20408 EN. European Commission. Ispra: Joint Research Centre.
Saltelli, A. (2007). Composite indicators between analysis and advocacy. Social Indicators Research, 81(1), 65–77.
Sharpe, A. (2000). A survey of indicators of economic and social well-being. CSLS Research Reports 99wb. Ottawa: Canadian Policy Research Networks.
Soubbotina, T. P. (2004). Beyond economic growth: An introduction to sustainable development. Washington, DC: World Bank.
Storrie, D., & Bjurek, H. (2000). Benchmarking European labour market performance with efficiency frontier techniques. Discussion Paper for the Centre for European Labour Market Studies (CELMS). Sweden: Goteborg University.
United Nations Development Programme UNDP. (1994). Human development report 1994: New dimensions of human security. New York: Oxford University Press.
United Nations Development Programme UNDP. (1999). Human development report 1999: Globalization with a human face. New York: Oxford University Press.
United Nations Development Programme UNDP. (2006). Human development report 2006: Beyond scarcity: Power, poverty and the global water crisis. New York: Oxford University Press.
Ura, K., & Galay, K. (Eds.). (2004). Gross national happiness and development. Bhutan: The Centre for Bhutan Studies.
Wolff, R. D., & Resnick, S. A. (1987). Economics: Marxian versus neoclassical. Baltimore: John Hopkins University Press.
World Bank (WB). (2005). Glossary. Viewed 21 December 2005, <http://www.worldbank.org/depweb/english/modules/glossary.html>.
World Bank, WB. (2007). World Development Indicators (WDI) Online. Viewed 20 July 2007, Washington, DC: World Bank.
World Economic Forum WEF. (2005). Environmental sustainability index: Benchmarking national environmental stewardship. Davos: World Economic Forum.
Zhou, P., & Ang, B. W. (2009). Comparing MCDA aggregation methods in constructing composite indicators using the Shannon-Spearman measure. Social Indicators Research, 94(1), 83–96.
Zhou, P., Ang, B. W., & Poh, K. L. (2006). Comparing aggregating methods for constructing the composite environmental index: An objective measure. Ecological Economics, 59, 305–311.
Zhou, P., Ang, B. W., & Zhou, D. Q. (2010). Weighting and aggregation in composite indicator construction: a multiplicative optimization approach. Social Indicators Research, 96(1), 169–181.
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Natoli, R., Zuhair, S. Measuring Progress: A Comparison of the GDP, HDI, GS and the RIE. Soc Indic Res 103, 33–56 (2011). https://doi.org/10.1007/s11205-010-9695-3