Abstract
Water scarcity frequently leads to a need for rationing. The choice of an adequate rationing method should be based on the impact on consumer welfare that is produced by each rationing plan. Some rationing schemes, such as the frequently used supply interruption method, can be regarded as changes in the characteristics of the good (in this case, time availability) that do not modify the pre-set consumer budget. Under the standard theoretical restrictions on consumer behavior compensating or equivalent variations/surpluses cannot be used to identify the impacts of these methods on household welfare. In this paper, we propose a set of sufficient conditions with respect to the utility function that allows for the evaluation of the compensating or equivalent variations/surpluses associated with changes in goods’ quality, even if those goods are considered to be essential for consumers. We use these conditions to compare the welfare losses associated with the water supply cuts implemented in Seville (Spain) to those that would result if water was instead rationed using price changes.
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Notes
The United Nations (2011) projects the current world population of nearly 7 billion to grow to 9.3 billion by the middle of this century and to 10.1 billion within the next 90 years.
Baisa et al. (2010) analyzes the consequences of extremely severe water shortages in Mexico.
Compensating or equivalent surpluses are welfare losses measures due to changes in quantity-constrained goods Freeman et al. (2014).
In particular, in the case of Seville households are recommended to reduce water consumption, but no other rationing measure is implemented. Therefore, households are allowed to maintain their previous consumption if they wish. As a result, any reduction in water consumption will be due to changes in the household’s utility function generated by the reduced availability of the good.
In Roibas et al (2007) a dual approach is used to demonstrate the impossibility of identifying compensated or equivalent surpluses associated to supply cuts under the standard theoretical restrictions. However, no restrictions allowing their identification are typified.
The expenditure function dual to the Stone-Geary utility function can be expressed in an analytic form and this is an important advantage in this study as it avoids the use of numerical methods to calculate the compensating surplus which, additionally, allow for their standard deviations to be calculated.
There was another drought at the beginning of the XXI century, but no supply restrictions were implemented in Seville to address this drought (EMASESA 2005).
Although supply cuts are legally permitted under certain circumstances, regulations require users to be notified in advance regarding the initiation, intensity and estimated duration of these cuts (Molina 2001). It should be noted that supply cuts also forbid the use of water stored in storage devices.
These restrictions were not applied to users that provided services that were deemed to be essential to the public interest, such as health centers.
It is worth noting that most people in Spanish cities reside in apartment blocks and not in single-family houses. In particular, all the households in the sample reside in apartment blocks and residential water uses such as car washing or garden irrigation are not taking place in our sample.
It is worth noting that the whole sample period is prior to the Directive 2000/60/EC of the European Parliament and of the Council of 23 October 2000 (Water Framework Directive, WFD) that requires complying with the full-cost recovery principle. During the period analyzed in this research, household expenditures were lower than the cost of water provision and water provision was consequently a subsidized activity. Even several years later, WDF has not been yet fully applied in Spain (European Environment Agency 2013).
Seville city council classified streets into 8 categories.
Olmstead (2009) shows that instrumental variables could be a valid technique in this case.
See Greene (2008) for details on the non-linear least squares estimator.
As aforementioned, water provision was a subsidized activity and therefore the lower the households’ expenditure the larger the subsidy (and consequently, the larger the taxation) necessary to cover the difference between revenues and costs.
Note that these results should be interpreted with caution, since the income used in the empirical exercise is an approximation that could be far from the real households’ income.
For a broader discussion on affordability issues on water residential sector, check García-Valiñas et al. (2010).
Unfortunately, no information about these costs was provided by the public utility.
In 1991, 197967 households were registered in Seville. Further information about the number of households living in the municipality is available at http://www.ine.es.
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We would like to thank the financial support of the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (through the projects with reference ECO2012-32189 and ECO2016-75237-R).
Appendices
Appendix A
Given a monotonic twice differentiable transformation f, the function \( f\left( U \right) \) only verifies P2\( \left( {\frac{{\delta^{2} f\left( U \right)}}{{\delta x_{2} \delta c}} = 0} \right) \) if f is an affine transformation. The marginal utility of x2 becomes:
which, taking into account that \( \frac{{\delta U^{0} }}{{\delta x_{2} }} = 0 \) and \( \frac{\delta U}{{\delta U^{1} }} = 1 \) becomes:
and, therefore:
Taking into account that \( \frac{{\delta^{2} U^{1} }}{{\delta x_{2} \delta c}} = 0 \), P2 is verified only if \( \frac{{\delta^{2} f\left( U \right)}}{{\delta U^{2} }} = 0 \) which implies that f is an affine transformation.
Appendix B
Appendix C
Appendix D
The baseline linear demand model estimated is the following:
Tables 11 and 12 show the main results of the estimation/simulation based on the previous linear demand function and the consumer surplus as a welfare method.
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Roibas, D., Garcia-Valiñas, M.A. & Fernandez-Llera, R. Measuring the Impact of Water Supply Interruptions on Household Welfare. Environ Resource Econ 73, 159–179 (2019). https://doi.org/10.1007/s10640-018-0255-7
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DOI: https://doi.org/10.1007/s10640-018-0255-7