Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

The effects of policy announcement, prices and subsidies on water consumption

Subjects

Abstract

With increasing water security challenges, water utilities around the world face complex decisions on water supply and demand management. Here we investigate the effects of price and subsidy increases on water conservation in Singapore. Using anonymized monthly billing data on water consumption for 2.2 million residential accounts over 10 years, our difference-in-differences estimates show that the announcement of a two-phased 30% price increase reduces water consumption by 3.7% more for the public housing, relative to the private apartments. The announcement effect is larger than the implementation of price increase. Consumers with lower water usage respond more to the announcement of price hike, while consumers with higher usage respond more to its implementation. An increase in utility subsidy reduces low-income households’ financial burden but does not affect water consumption, possibly due to consumers’ low attentiveness to the subsidy change. The results suggest that the traditional market-based policy instruments, such as price and subsidy, could be combined with attention priming to achieve sustainable outcomes with minimal requirement on technology advancement and institutional innovation.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Graphical analysis of regression discontinuity.
Fig. 2: Google search on price and rebate change.
Fig. 3: Heterogeneous responses to price change.
Fig. 4: Distributional effect of price increase.
Fig. 5: Heterogeneous responses to subsidy increase.

Similar content being viewed by others

Data availability

The water consumption data for this study are provided by PUB, Singapore’s national water agency, under non-disclosure agreement for the current study. Upon reasonable request to PUB and with the necessary non-disclosure agreements signed with NUS, it is available onsite at NUS to replicate all the results from the deposited Stata code.

Code availability

Stata code used for data analysis in this study is available at https://github.com/fmsgp/waterprice.

References

  1. Stavins, R. N. in Environmental Degradation and Institutional Responses (eds Mäler, K.-G. & Vincent, J. R.) 355–435 (Elsevier, 2003).

  2. Grafton, R. Q. & Ward, M. B. Prices versus rationing: Marshallian surplus and mandatory water restrictions. Econ. Rec. 84, S57–S65 (2008).

    Article  Google Scholar 

  3. Mansur, E. T. & Olmstead, S. M. The value of scarce water: measuring the inefficiency of municipal regulations. J. Urban Econ. 71, 332–346 (2012).

    Article  Google Scholar 

  4. Grafton, R. Q., Ward, M. B., To, H. & Kompas, T. Determinants of residential water consumption: evidence and analysis from a 10-country household survey. Water Resour. Res. https://doi.org/10.1029/2010wr009685 (2011).

  5. Olmstead, S. M. & Stavins, R. N. Comparing price and nonprice approaches to urban water conservation. Water Resour. Res. https://doi.org/10.1029/2008wr007227 (2009).

  6. Grafton, R. Q., Chu, L. & Wyrwoll, P. The paradox of water pricing: dichotomies, dilemmas, and decisions. Oxford Rev. Econ. Policy 36, 86–107 (2020).

    Article  Google Scholar 

  7. Espey, M., Espey, J. & Shaw, W. D. Price elasticity of residential demand for water: a meta-analysis. Water Resour. Res. 33, 1369–1374 (1997).

    Article  Google Scholar 

  8. Dalhuisen, J. M., Florax, R. J. G. M., de Groot, H. L. F. & Nijkamp, P. Price and income elasticities of residential water demand: a meta-analysis. Land Econ. 79, 292–308 (2003).

    Article  Google Scholar 

  9. Wichman, C. J., Taylor, L. O. & von Haefen, R. H. Conservation policies: who responds to price and who responds to prescription? J. Environ. Econ. Manage. 79, 114–134 (2016).

    Article  Google Scholar 

  10. Gaudin, S. Effect of price information on residential water demand. Appl. Econ. 38, 383–393 (2006).

    Article  Google Scholar 

  11. Jessoe, K. & Rapson, D. Knowledge is (less) power: experimental evidence from residential energy use. Am. Econ. Rev. 104, 1417–1438 (2014).

    Article  Google Scholar 

  12. Ito, K. Do consumers respond to marginal or average price? Evidence from nonlinear electricity pricing. Am. Econ. Rev. 104, 537–563 (2014).

    Article  Google Scholar 

  13. Brent, D. A. & Ward, M. B. Price perceptions in water demand. J. Environ. Econ. Manage. 98, 102266 (2019).

    Article  Google Scholar 

  14. Chetty, R., Looney, A. & Kroft, K. Salience and taxation: theory and evidence. Am. Econ. Rev. 99, 1145–1177 (2009).

    Article  Google Scholar 

  15. Finkelstein, A. E-ZTAX: tax salience and tax rates. Q. J. Econ. 124, 969–1010 (2009).

    Article  Google Scholar 

  16. Sexton, S. Automatic bill payment and salience effects: evidence from electricity consumption. Rev. Econ. Stat. 97, 229–241 (2015).

    Article  Google Scholar 

  17. Gilbert, B. & Graff Zivin, J. Dynamic salience with intermittent billing: evidence from smart electricity meters. J. Econ. Behav. Organ. 107, 176–190 (2014).

    Article  Google Scholar 

  18. Wichman, C. J. Information provision and consumer behavior: a natural experiment in billing frequency. J. Public Econ. 152, 13–33 (2017).

    Article  Google Scholar 

  19. Attari, S. Z., DeKay, M. L., Davidson, C. I. & de Bruin, W. B. Public perceptions of energy consumption and savings. Proc. Natl Acad. Sci. USA 107, 16054–16059 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Bollinger, B., Leslie, P. & Sorensen, A. Calorie posting in chain restaurants. Am. Econ. J. Econ. Policy 3, 91–128 (2011).

    Article  Google Scholar 

  21. Grubb, M. D. & Osborne, M. Cellular service demand: biased beliefs, learning, and bill shock. Am. Econ. Rev. 105, 234–271 (2015).

    Article  Google Scholar 

  22. Allcott, H. Consumers’ perceptions and misperceptions of energy costs. Am. Econ. Rev. 101, 98–104 (2011).

    Article  Google Scholar 

  23. Renwick, M. E. & Archibald, S. O. Demand side management policies for residential water use: who bears the conservation burden? Land Econ. 74, 343 (1998).

    Article  Google Scholar 

  24. Gomez-Lobo, A. & Contreras, D. Water subsidy policies: a comparison of the Chilean and Colombian schemes. World Bank Econ. Rev. 17, 391–407 (2003).

    Article  Google Scholar 

  25. Borenstein, S. The redistributional impact of nonlinear electricity pricing. Am. Econ. J. Econ. Policy 4, 56–90 (2012).

    Article  Google Scholar 

  26. Fuente, D. et al. Water and sanitation service delivery, pricing, and the poor: an empirical estimate of subsidy incidence in Nairobi, Kenya. Water Resour. Res. 52, 4845–4862 (2016).

    Article  Google Scholar 

  27. Congdon, W. J., Kling, J. R. & Mullainathan, S. Behavioral economics and tax policy. Natl. Tax J. 62, 375–386 (2009).

    Article  Google Scholar 

  28. Epley, N., Mak, D. & Idson, L. C. Bonus of rebate?: the impact of income framing on spending and saving. J. Behav. Decis. Mak. 19, 213–227 (2006).

    Article  Google Scholar 

  29. Agarwal, S. & Qian, W. Consumption and debt response to unanticipated income shocks: evidence from a natural experiment in Singapore. Am. Econ. Rev. 104, 4205–4230 (2014).

    Article  Google Scholar 

  30. Li, S., Linn, J. & Muehlegger, E. Gasoline taxes and consumer behavior. Am. Econ. J. Econ. Policy 6, 302–342 (2014).

    Article  Google Scholar 

  31. Allcott, H. Social norms and energy conservation. J. Public Econ. 95, 1082–1095 (2011).

    Article  Google Scholar 

  32. Ferraro, P. J. & Price, M. K. Using nonpecuniary strategies to influence behavior: evidence from a large-scale field experiment. Rev. Econ. Stat. 95, 64–73 (2013).

    Article  Google Scholar 

  33. Byrne, D. P., Nauze, A. L. & Martin, L. A. Tell me something I don’t already know: informedness and the impact of information programs. Rev. Econ. Stat. 100, 510–527 (2018).

    Article  Google Scholar 

  34. Roth, J. Pretest with caution: event-study estimates after testing for parallel trends. Am. Econ. Rev. Insights 4, 305–322 (2022).

    Article  Google Scholar 

  35. Agarwal, S., Araral, E., Fan, M., Qin, Y. & Zheng, H. Water conservation through plumbing and nudging. Nat. Hum. Behav. 6, 858–867 (2022).

    Article  PubMed  Google Scholar 

  36. Scarrow, R. Step back from scientific hubris. Nat. Sustain. 4, 1015–1016 (2021).

    Article  Google Scholar 

Download references

Acknowledgements

All the authors acknowledge the funding and water consumption data support from the PUB, Singapore’s national water agency. The funder had no role in study design, data analysis, decision to publish or preparation of the manuscript. Research reported in this publication was supported by the Institute for Environment and Sustainability, at the Lee Kuan Yew School of Public Policy, National University of Singapore.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the research design, implementation, data analysis and writing.

Corresponding author

Correspondence to Mingxuan Fan.

Ethics declarations

Competing interests

The authors declare no competing interests.

Peer review

Peer review information

Nature Water thanks R. Quentin Grafton, V. Ratna Reddy and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplementary Figs. 1–12 and Tables 1–13.

Reporting Summary

Source data

Source Data Fig. 1

Statistical source data.

Source Data Fig. 2

Statistical source data.

Source Data Fig. 3

Statistical source data.

Source Data Fig. 4

Statistical source data.

Source Data Fig. 5

Statistical source data.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Agarwal, S., Araral, E., Fan, M. et al. The effects of policy announcement, prices and subsidies on water consumption. Nat Water 1, 176–186 (2023). https://doi.org/10.1038/s44221-023-00028-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s44221-023-00028-1

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing