Genuine savings as a test of New Zealand weak sustainability


The key aims of this paper are to: (1) to extend the World Bank’s (WB) measure of genuine savings (GS) for New Zealand by using a longer time series of data, 1950–2015; (2) improve GS estimates for New Zealand by adding additional dimensions to GS, i.e. forestry; (3) investigate the relationship between several GS measures and the discounted values of GDP per capita and consumption per capita, used to proxy well-being; (4) test a series of hypotheses which relate GS to the change in future well-being using the framework proposed by Ferreira et al. (World Bank Econ Rev 22(2):233–248, 2008. and (5) investigate the effects of a growing population on the availability of future capital stocks by considering the consequences of “wealth-dilution” as defined by Ferreira et al. (2008). The paper makes a contribution to the literature on GS, particularly in the context of New Zealand, by considering patterns of GS and well-being over a longer time span of data than have been previously used and add to a relatively small, but growing literature on tests of GS using long or relatively long time-series data [see, e.g. Greasley et al. (J Environ Econ Manag 67(2):171–188, 2014., Environ Dev Econ 22:674–98, 2017) and Hanley et al. (Enviro Resour Econ 63(2):313–338, (2016).]. We conclude, based on the data used here, that New Zealand’s GS has been positive (i.e. weakly sustainable), since the start of our data series, even without allowing for the contribution of technological advancement. However, we also conclude that the effects of a growing population and a savings gap have led to a “wealth-dilution” effect needed to maintain real wealth per capita, as we estimate that there was an average savings gap (GS as a percentage of gross national savings) over the period 1955–2015 of 0.5% per annum.

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  1. 1.

    For a “primer” and partial survey of this literature, see Oxley (2017).

  2. 2.

    See Fenichel and Abbott (2014) for recent developments of the Dasgupta/Maler approach.

  3. 3.

    Ferreira et al. (2008) present as their Eq. 1 (as above), the infinite horizon version of the genuine savings relationship. The fact that the theoretical version relates to an infinite horizon reinforces why, in empirical models, longer time series data are likely to generate results more closely aligned to the theoretical underpinnings than those from short time series or small T panels.

  4. 4.

    Estimates and testing based on Eq. (4) are presented in Sect. 2.

  5. 5.

    See “Appendix” for details on rent calculations.

  6. 6.

    The long-run discount rate is derived from the mean nominal discount rate minus the rate of inflation; see appendix for sources. 2.8% is our benchmark discount rate; this rates sits just below recent New Zealand Treasury discount rates projects over 10, 15, 20 and 30 years (3.06, 3.38, 3.57, 3.87%). Spot rates from:

  7. 7.

    See “Appendix” for detailed results.

  8. 8.

    However, as the World Bank (2011), p. 43, concludes: “Even developed countries such as the United States and New Zealand have had positive ANS but a decline in per capita wealth because saving has not been sufficient to compensate for population growth”.

  9. 9.

    The World Bank (2011), p. 41, concludes that: “The adjusted net saving gap measures, as a percentage of GNI, the difference between actual ANS and the amount necessary to maintain per capita wealth. The savings gap for the United States and New Zealand is 2%”.

  10. 10.

    “For example, a detailed analysis of human capital accounts for Canada, New Zealand, Norway, Sweden, and the United States unambiguously shows that human capital is a leading source of economic growth”. World Bank (2011), p. 105. This conclusion, however, is based upon the exclusion of all forestry-related measures of capital from the World Bank estimates.

  11. 11.

    This assumes we are measuring brain-gain human capital from migration sufficiently accurately.

  12. 12.

    “For example, a detailed analysis of human capital accounts for Canada, New Zealand, Norway, Sweden, and the United States unambiguously shows that human capital is a leading source of economic growth”. World Bank (2011), p. 105.

  13. 13.

    “There are notable exceptions to this, such as fisheries in Iceland, New Zealand, and Namibia, where better management allows substantial rents to be generated” World Bank (2011), p. 21.

  14. 14.

    World Bank (2011).

  15. 15.

    “There are notable exceptions to this, such as fisheries in Iceland, New Zealand, and Namibia, where better management allows substantial rents to be generated” World Bank (2011), p. 21.

  16. 16.

    “New Zealand introduced a system of individually tradable quotas to manage its fisheries, resulting in a large competitive market for fish quota sales and rentals. This system has established a direct market price for the asset value of fisheries, which is used in the New Zealand fisheries accounts” World Bank (2011) p. 135.


  1. Arrow, K. J., Dasgupta, P., Goulder, L. H., Mumford, K. J., & Oleson, K. (2012). Sustainability and the measurement of wealth. Environment and Development Economics,17(03), 317–353.

    Article  Google Scholar 

  2. Asheim, G. B. (1994). Net national product as an indicator of sustainability. The Scandinavian Journal of Economics, 96(2), 257–265. Retrieved from

    Article  Google Scholar 

  3. Bank, W. (2011). The changing wealth of nations. Retrieved from

  4. Black, S. E., & Lynch, L. M. (1996). Human-capital investments and productivity. The American Economic Review,86(2), 263–267.

    Google Scholar 

  5. Blattman, C., Hwang, J., & Williamson, J. G. (2007). Winners and losers in the commodity lottery: The impact of terms of trade growth and volatility in the periphery 1870–1939. Journal of Development Economics,82(1), 156–179.

    Article  Google Scholar 

  6. Blum, M., Ducoing, C., & McLaughlin, E. (2017a). A sustainable century? Genuine savings in developing and developed countries, 1900–2000. National wealth: What is missing, why it matters. Oxford: Oxford University Press.

    Google Scholar 

  7. Blum, M., McLaughlin, E., & Hanley, N. (2017b). Accounting for sustainable development over the long-run: Lessons from Germany, 1850–2000. German Economic Review.

    Article  Google Scholar 

  8. Blundell, R., Dearden, L., Meghir, C., & Sianesi, B. (1999). Human capital investment: The returns from education and training to the individual, the firm and the economy. Fiscal Studies,20(1), 1–23.

    Article  Google Scholar 

  9. Bolt, K., Matete, M., & Clemens, M. (2002). Manual for calculating adjusted net savings (pp. 1–23). World Bank: Environment Department.

    Google Scholar 

  10. Brown, R. P. C., Asafu-Adjaye, J., Draca, M., & Straton, A. (2005). How useful is the genuine savings rate as a sustainability indicator for regions within countries? Australia and Queensland compared. Australian Economic Review,38(4), 370–388.

    Article  Google Scholar 

  11. Dasgupta, P. (2001). Human well-being and the natural environment. Oxford: Oxford University Press.

    Book  Google Scholar 

  12. Dasgupta, P. & Heal, G. (1974). The optimal depletion of exhaustible resources. The Review of Economic Studies, 41, 3–28. Oxford University Press. Retrieved from

  13. Dasgupta, P., & Mäler, K. G. (2001). Wealth as a criterion for sustainable development. Ho Chi Minh: Citeseer.

    Google Scholar 

  14. Dietz, S., & Neumayer, E. (2007). Weak and strong sustainability in the SEEA: Concepts and measurement. Ecological Economics,61(4), 617–626.

    Article  Google Scholar 

  15. Fagerberg, J. (2000). Technological progress, structural change and productivity growth: A comparative study. Structural Change and,11(4), 393–411.

    Article  Google Scholar 

  16. Färe, R., Grosskopf, S., & Margaritis, D. (2001). Productivity trends in Australian and New Zealand manufacturing. Australian Economic Review,34(2), 125–134.

    Article  Google Scholar 

  17. Fenichel, E. P., & Abbott, J. K. (2014). Natural capital: From metaphor to measurement. Journal of the Association of Environmental and Resource Economists,1(1), 1–27.

    Article  Google Scholar 

  18. Ferreira, S., Hamilton, K., & Vincent, J. R. (2008). Comprehensive wealth and future consumption: Accounting for population growth. World Bank Economic Review,22(2), 233–248.

    Article  Google Scholar 

  19. Ferreira, S., & Moro, M. (2011). Constructing genuine savings indicators for Ireland, 1995–2005. Journal of Environmental Management,92, 542–553.

    Article  Google Scholar 

  20. Ferreira, S, & Vincent, J. R. (2005). Genuine savings: Leading indicator of sustainable development? Economic Development and Cultural Change, 53(3), 737–754. Retrieved from

  21. Gemmell, N. (1996). Evaluating the impacts of human capital stocks and accumulation on economic growth: Some new evidence. Oxford Bulletin of Economics and Statistics,58(1), 9–28.

    CAS  Article  Google Scholar 

  22. Glass, H., & Choi, W-K. (2001). Brain drain or brain exchange. Working paper 01/22 New Zealand Treasury.

  23. Greasley, D., Hanley, N., Kunnas, J., McLaughlin, E., Oxley, L., & Warde, P. (2014). Testing genuine savings as a forward-looking indicator of future well-being over the (very) long-run. Journal of Environmental Economics and Management,67(2), 171–188.

    Article  Google Scholar 

  24. Greasley, D., Hanley, N., McLaughlin, E., & Oxley, L. (2017). Australia: A land of missed opportunities? Environment and Development Economics,22, 674–698.

    Article  Google Scholar 

  25. Greasley, D., & Madsen, J. B. (2016). The rise and fall of exceptional Australian Incomes since 1800. Australian Economic History Review,37, 37–53.

    Google Scholar 

  26. Hamilton, K. (1994). Green adjustments to GDP. Resources Policy,20(3), 155–168.

    Article  Google Scholar 

  27. Hamilton, K. (2006). Where is the wealth of nations? Measuring capital for the 21st century. ‎Washington, DC: World Bank Publications.

    Google Scholar 

  28. Hamilton, K., & Atkinson, G. (2006). Wealth, welfare and sustainability: Advances in measuring sustainable development. Cheltenham: Edward Elgar Publishing.

    Book  Google Scholar 

  29. Hamilton, K., & Clemens, M. (1999). Genuine savings rates in developing countries. World Bank Economic Review,13(2), 333–356.

    Article  Google Scholar 

  30. Hamilton, K. & Hartwick, J. M. (2005). Investing exhaustible resource rents and the path of consumption. Canadian Journal of Economics, 38(2), 615–621. Retrieved from

  31. Hamilton, K., & Hartwick, J. M. (2005b). Investing exhaustible resource rents and the path of consumption. Canadian Journal of Economics/Revue Canadienne d’économique,38(2), 615–621.

    Article  Google Scholar 

  32. Hanley, N., Dupuy, L., & McLaughlin, E. (2015). Genuine savings and sustainability. Journal of Economic Surveys,29(4), 779–806.

    Article  Google Scholar 

  33. Hanley, N., Oxley, L., Greasley, D. M. E., & Blum, M. (2016). Empirical testing of genuine savings as an indicator of weak sustainability: A three-country analysis of long-run trends. Environmental & Resource Economics,63(2), 313–338.

    Article  Google Scholar 

  34. Hartwick, J. M. (1977). Intergenerational equity and the investing of rents from exhaustible resources. American Economic Review,67(5), 972–974.

    Google Scholar 

  35. Hartwick, J. M. (1990). Natural resources, national accounting and economic depreciation. Journal of Public Economics,43(3), 291–304.

    Article  Google Scholar 

  36. Hollinger, D., Maclaren, J., Beets, P., & Turland, J. (1993). Carbon sequestration by New Zealand’s plantation forests. New Zealand Journal of Forestry Science,23(2), 194–208.

    CAS  Google Scholar 

  37. Homer, S. & Sylla, R. (2005). A history of interest rates. Wiley Finance. Retrieved from

  38. Le, T., Oxley, L., & Gibson, J. (2003). Cost- and income-based measures of human capital. Journal of Economic Surveys,17, 271–308.

    Article  Google Scholar 

  39. Lindmark, M., Thu, H. N., & Stage, J. (2018). Weak support for weak sustainability: Genuine savings and long-term wellbeing in Sweden, 1850–2000. Ecological Economics,145, 339–345.

    Article  Google Scholar 

  40. Mota, R. P., Huang, D. T., & Martins, V. (2010). Analysis of genuine savings and potential net national income:Portugal, 1990–2005. Ecological Economics,69, 1934–1942.

    Article  Google Scholar 

  41. NZIER. (2017). Plantation forestry statistics: Contribution of forestry to New Zealand.

  42. Oxley, L. (2017), Sustainable Economic Development: Origins, Concepts, Models and Metrics, Working Paper, University of Waikato.

  43. Pearce, D. W., & Atkinson, G. D. (1993). Capital Theory and the Measurement of Sustainable Development: An Indicator of Weak Sustainability. Ecological Economics,8(2), 103–108.

    Article  Google Scholar 

  44. Pearce, D. W., Markandya, A. & Barbier, E. (1989). Blueprint for a green economy (Vol. 1). Earthscan.

  45. Pemberton, M. & Ulph, D. (2001). Measuring income and measuring sustainability. The Scandinavian Journal of Economics, 103(1), 25–40. Wiley Online Library.

  46. Pezzey, J. C. V. (2004). One-sided sustainability tests with amenities, and changes in technology, trade and population. Journal of Environmental Economics and Management,48(1), 613–631.

    Article  Google Scholar 

  47. Pezzey, J. C. V., Hanley, N., Turner, K., & Tinch, D. (2006). Comparing augmented sustainability measures for Scotland: Is there a mismatch? Ecological Economics,57(1), 60–74.

    Article  Google Scholar 

  48. Qasim, M. (2017). Sustainability and wellbeing: A scientometric and bibliometric review of the literature. Journal of Economic Surveys,31(4), 1035–1061.

    Article  Google Scholar 

  49. Quiggin, J. (1997). Discount rates and sustainability. International Journal of Social Economics, 24(1/2/3), 65–90. MCB UP Ltd.

  50. Romero, J. C., & Linares, P. (2014). Exergy as a global energy sustainability indicator. A review of the state of the art. Renewable and Sustainable Energy Reviews,33, 427–442.

    Article  Google Scholar 

  51. Solow, R. M. (1974). The economics of resources or the resources of economics. The American Economic Review, 64(2), 1–14. Retrieved from

  52. Tate, K., Scott, N., Parshotam, A., Brown, L., Wilde, R., Giltrap, D., et al. (2000). A multi-scale analysis of a terrestrial carbon budget: Is New Zealand a source or sink of carbon? Agriculture, Ecosystems & Environment,82(1), 229–246.

    Article  Google Scholar 

  53. UNU-IHDP and UNEP. (2012). Inclusive wealth report 2012: Measuring progress toward sustainability. Cambridge: Cambridge University Press.

    Google Scholar 

  54. UNU-IHDP and UNEP. (2014). Inclusive wealth report 2014. Measuring progress toward sustainability. Cambridge: Cambridge University Press.

    Google Scholar 

  55. Weitzman, M. L. (1997). Sustainability and technical progress. The Scandinavian Journal of Economics,99(1), 1–13.

    Article  Google Scholar 

  56. World Bank. (2006). Where is the wealth of nations? Measuring capital for the 21st Century. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.

    Google Scholar 

  57. World Bank. (2011). The changing wealth of nations: Measuring sustainable development in the new millennium. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.

    Google Scholar 

  58. World Bank. (2018). The changing wealth of nations 2018: Building a sustainable future. Washington, DC: The International Bank for Reconstruction and Development/The World Bank.

    Google Scholar 

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The funding was provided by Marsden Fund.

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Corresponding author

Correspondence to Les Oxley.



See Table 8.

Table 8 Comparison of the World Bank and New Zealand national statistics office data sources

In addition to the data series mentioned in the above table, detailed description on the compilation of the other data series is as follows:

Consumption, GDP and GDP deflator

Total public and private consumption in real per capita terms is calculated as a residual from GDP. Similarly, all other data series to conduct hypothesis testing are constructed in real per capita terms.

Data source: The New Zealand Official Yearbooks, NZOYBs hereafter, (1950–1971) and Stats NZ (1972–2015).


Estimated mean population of New Zealand for year ended 31 December.

Data source: NZOYBs (1950–1971) and Stats NZ (1972–2015).

Education expenditure

Human capital is used as a proxy of human capital. This is given by the total government expenditure on education (including primary, secondary, tertiary, etc.) and salaries excluding capital expenditure.

Data source: NZOYBs (1950–1971) and Stats NZ (1972–2015).

Discount rates

We derived discount rates from the mean of bonds long-term series from Homer and Sylla (2005). We subtracted the percentage of GDP deflator from the bond percentage to get the real discount factor, which is 1.4% per year. We also use an alternative discount rate of 2.8% for sensitivity analysis.

Gross national savings (GNS)

GNS is calculated by subtracting public and private consumption from gross national income plus net exports.

Data source: NZOYBs (1950–1971) and Stats NZ (1972–2015).

Depreciation of fixed capital

It is the replacement value of capital used in the process of production and consumption. Pre-calculated data series for depreciation of fixed capital are given Stats NZ.

Net national savings (NNS)

It is the difference between GNS and depreciation of fixed capita.

Rents from natural capital (excluding forestry)

Rents from the mining of natural resources are given by:

$${\text{Rents}} = {\text{Production}} \,{\text{volume}}\, \times \, {\text{unit}}\, {\text{resourcerent}}$$
$${\text{Unit}}\, {\text{resourcerent}}\, = \,{\text{unit}}\, {\text{price}} - {\text{cost }}\,{\text{of}}\,{\text{production}}$$
$${\text{Cost}}\, {\text{of}}\, {\text{production}} = {\text{labour}}\, {\text{emplpyed}}\, \times \, {\text{average}}\, {\text{salaries}} .$$

In our data set, the market value of all mineral resources is obtained from NZOYBs (1950–1993) and from the Mining Production Statistics annual publications by the Ministry of Business Innovation and Employment (2000–2015). Missing data between these periods are imputed from linear extrapolations.

Data for total labour employed in the mining sector and average annual wage in the mining industry are also compiled from NZOYBs and Stats NZ.


This is the difference between NNS and rents from natural capital (excluding forestry).

Rents from forestry

Rents from change in forestry are calculated as:

$${\text{Rents}} = {\text{Change}}\, {\text{in}}\, {\text{standing}}\, {\text{forest}}\, {\text{volume}}\, \times \, {\text{unit}}\, {\text{price}} - {\text{cost}}\, {\text{of}}\, {\text{production}}$$

\({\text{Standing}}\, {\text{forest}}\, {\text{volume}} = {\text{Standing}}\, {\text{stock}}\, {\text{of}}\, {\text{forest}}\, \times \, {\text{average}}\, {\text{volume}}\, {\text{per}}\, {\text{hectare}}.\)

$${\text{Cost}}\, {\text{of}}\, {\text{production}}\, = \, {\text{labour}}\, {\text{employed}}\, \times \, {\text{average}}\, {\text{salaries}} .$$

Forest volumes include the standing volume of both natural and planted forest in hectares. Standing volume in cubic meters is estimated by multiplying the standing stock of forest (in hectares) by average volume per hectare provided by the New Zealand Ministry of Primary Industries in the National Exotic Forest Description (NEFD) and Forest Owners Association (FOA) facts and figures reports. The cost of production is estimated from the product of a number of people employed in the forestry industry and real wage. Finally, market prices are determined by the average export price of all forest products from New Zealand.

Data source: Labour and wages data from NZOYBs Stats NZ, estimated round wood removals from New Zealand forests from Ministry of Primary Industries, forest volume and volume per hectare from NFED and FOA.


It is given by the sum of Green series and rents from forestry.

Genuine savings (GS)

Finally, GS is obtained from the sum of Super Green series and investments human capital (i.e. education expenditures).

Total factor productivity (TFP)

The annual index of TFP is from Greasley and Madsen (2016, Eq. 1) using their preferred TFP (BDL) variant. Trend growth of these data for each year 1950–2015 is extracted using a Kalman filter and used to construct a measure of the value of technological progress. TFP series are compiled for GS, Green and Super Green series over 10, 15, 20 and 30 years horizons. For sensitivity analysis, we used the present value of future changes in TFP of aforementioned series with 1.4 and 2.8% per year discount rates to value technological progress, where the discount rates are matched with those for consumption and GDP per capita.

Net present values of consumption per capita, GDP per capita

Net present values for the future changes in real consumption per capita, real GDP per capita and TFP data series are estimated following Ferreira et al. (2008) over 10, 15, 20 and 30 years horizons with a 2.8% per year discount rate.

See Tables 9, 10 and 11.

Table 9 Summary statistics of key variables
Table 10 Summary of results with PV of change in GDP per capita at 2.8% discount rate
Table 11 Summary of results with PV of change in consumption per capita at 2.8% discount rate

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Qasim, M., Oxley, L. & McLaughlin, E. Genuine savings as a test of New Zealand weak sustainability. Environ Dev Sustain 22, 89–127 (2020).

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  • Sustainability
  • Genuine savings
  • Natural capital
  • Hartwick rule
  • New Zealand