Water Prices in CEE and CIS Countries. Volume I: Main Text Chapter
4
|
![]() | Revealed preference data |
![]() | Stated preference data |
Revealed preference (RP) data is often preferred, when available, as it reflects observed behaviour. The traditional approach to demand assessment based on RP data is to assess the sensitivity of demand to changes in relative prices and income (elasticity). However, when faced with major infrastructure and service level decisions in the CEE or CIS water and wastewater services sector, this approach has limited value for a number of reasons.
First, for households the concept is only meaningful if the household is metered, thus giving a direct link between changes in demand and the price that the household pays for the service. Thus, the analysis cannot be made where households are charged according to norms.
Second, the traditional approach implies requirement for data based on observed behaviour. Ideally, panel data should be available and cover a period with major swings in relative prices and changes in income. Alternatively, a long time series for a period with unchanged institutions should be available. Such data is rarely available.
Third, the traditional time-series approach has a forecasting power only if the service will be essentially the same in the future as it has been in the past. However, the basic rationale of major infrastructure investments and/or a PPP arrangement is often to change the future service level compared to the past. Furthermore, customers do not choose between alternative water services as they choose between, say, alternative modes of transport. Also for this reason, the required data are unlikely to be available.
Fourth, the notion of total economic value recognises the fact that individuals may receive benefits from goods and services which may not be marketed. For example, water consumers may benefit from knowing that the wastewater treatment plant contributes to avoiding pollution. Assessment of the value of non-use benefits is often important for water services projects.
These considerations make methods based on hypothetical behaviour more appropriate when dealing with the valuation of water and wastewater services, in particular when future services are likely to differ from present services, or when non-use benefits are important.
There are two types of methods that are based on hypothetical behaviour and have traditionally been widely used:
![]() | Contingent valuation |
![]() | Stated preference (or conjoint analysis) |
In contingent valuation, consumers are asked to state their willingness to pay for a specific package of improved water services. This methodology can be useful if there is a specific package for the consumer to consider. However, there is a risk of consumers answering strategically, whereby respondents understate or overstate their valuation of the good or service in question.
The recommended approach to determine the willingness to pay for changes in the service level is a stated preference survey, also known as conjoint analysis. This is the most reliable method to assess the willingness to pay for future services or non-use benefits (e.g. avoiding pollution).
So far, stated preference methodologies have been used more in other sectors, such as transport infrastructure. This reflects the way in which the methodology was historically developed. In fact, the stated preference methodology is highly applicable for water services infrastructure. With this toolkit, we hope to achieve such wider usage.
We recommend the use of stated preference methodologies for the following reasons:
![]() | Stated preference analysis is useful when a package of services is not pre-determined, and part of the aim of the market research is to investigate which services to provide. |
![]() | When using stated preference analysis, the risk of strategic answers is minimised as the consumers are asked to choose the preferred option among two or more alternatives. The suggested stated preference survey technique involves the trade-off between multi-dimensional choice pairs which makes it possible to find the optimal package of services for the consumer, and which makes strategic behaviour difficult to perform by the respondent. |
![]() | Stated preference is based on economic utility theory and has proven successful in market research. The case studies confirm its usefulness in the specific context of water and wastewater services in the CEE and the CIS countries. |
The issue of assessing the sensitivity of demand to changes in prices (and income) is still a very important one. The financial viability of many water services projects is crucially dependent on sound assessment of how much water will be demanded (and sold) in the future. Traditionally, stated preference analysis does not directly provide a figure for the sensitivity of demand to changes in price and income.
We therefore suggest an enhanced approach to assess the future demand for water and wastewater services. We suggest to analyse affordability and willingness to pay separately and to carry out market surveys to assess the willingness to pay for water and wastewater services. The quantitative survey of willingness to pay may be designed to capture both willingness to pay for alternative services and the sensitivity of demand. An example hereof is given in Section 4.8.2. The consultant may also assess likely changes in water demand in response to specific combinations of future service levels, prices and incomes by combining analyses of affordability, and willingness to pay with a traditional assessment of demand elasticity based on historic data.
The methods presented are interview-based surveys directed at users of water and wastewater services. The focus is on households, but the methods are also applicable for commercial customers (excluding industry) with some minor adaptations.
Specific data collection and questionnaire formats as well as typical output formats that have been tested and found useful during the case studies are presented in Appendices 4 to 7.
Text Box 2 provides a summary illustration of the process.
Text Box 2:
The recommended steps in undertaking a willingness to pay survey
|
Note: Generic examples included in the appendices are marked by *
The analysis of price and income effects on water demand in Section 4.8 can be carried out separately if the total cost of water services to the consumer is related to the consumption, now or in the future. If this is not the case, this analysis should be omitted.
The traditional assessment of elasticity requires adequate data to be available and the results to be deemed relevant for assessment of the future demand for the services to be provided. However, even if adequate revealed preference data is not available, the consultant must consider the effects on water demand of price changes in the situation where the total cost of water services to the consumer is related to the consumption. In these cases, the considerations may be based on the stated preference data collected and analysed.
Information to the recipient
During the process of the analysis, we recommend that the consultant keep in close contact with the recipient to make sure that the recipient is fully informed about the progress and, in particular, about the periods in which the recipient's customers are being interviewed. This is needed to avoid misunderstanding if representatives of the public contact the recipient to obtain information on the research. The recipient must ensure that information officers at the recipient's institution are fully informed about the progress and purpose of the study. The consultant can assist by preparing a short and concise briefing note to be used by information officers, cf. Appendix 11.
The recipient should also be asked to help by, for example, checking and commenting on survey questionnaires, introducing the research to the local population (thereby motivating them to participate in the survey) and providing facilities and logistical support for the consultancy team, for example offices and telephone lines.
The optimal timing of the willingness to pay analysis does not differ depending on whether the project is a PPP arrangement, such as a concession agreement, or a traditional investment project in a public utility.
The analysis is intended to feed into the determination of both future service and project design. Thus, in the traditional investment case, this is one of the steps undertaken during the feasibility stage, while in the PPP arrangement case, this is one of the steps undertaken as part of the preparation of the tender documents following the pre-feasibility stage.
For both a traditional investment project and a PPP arrangement, it is necessary to make a first estimate of the key service characteristics in order to be able to make a qualified analysis of customer perception and willingness to pay. This first estimate should include a first qualified "guesstimate" of the water balance in the city and an estimate of the "without project" scenario. Furthermore, analysed basic unit expenditure needs shall be available at this stage.
For a traditional investment project, it is important that the results are available before deciding on service level, project design and tariff setting.
For a PPP agreement, the optimal timing of the presentation of the results of this analysis is likely to be simultaneous with the announcement of the selected short list of firms invited to submit a bid for the lease, concession etc. The short-listed firms will find it useful to have an indication of the willingness to pay for various service levels in order to assess whether they will be able to match service level and tariff expectations.
The analysis may provide additional spin-offs for the municipality and/or the water utility. The results may provide useful information for designing a public awareness campaign, mobilising local political support etc.
Typically, the willingness to pay and the demand analysis requires 14 to 18 calendar weeks as well as approximately 12 to 16 person weeks of resource input plus input from interviewers, translators, etc. It is therefore important to initiate the analysis as early in the process as possible.
Table 4.1:
Resources required for the customer perception and willingness to pay tasks
|
Person weeks |
Calendar weeks |
Determine the issues |
2 |
2 |
Qualitative research |
2 |
4 |
Quantitative research |
8-10 |
8 |
- Design |
2 |
2 |
- Pilot field work and analysis |
2 |
1 |
- Main field work |
1 |
1 |
- Analysis and reporting |
3-5 |
4 |
Assessment of the households' likely responses to tariff increase1 |
2 |
4 |
Total |
12-16 |
14-18 |
Note: (1) |
This analysis is only carried out if there are or will be incentives to reduce consumption. Otherwise, an increase in tariffs is not expected to influence the demand for water. |
Disclaimer: | The resource requirement has been estimated by COWI and is not necessarily endorsed by DEPA or EBRD. |
Engaging a good local partner is essential to achieve efficient management of the survey programme. The local partner, who may be a market research organisation or a department at a local university or institute, will be able to deliver the following services:
![]() | Provide interpreters for interviews, briefings etc. (if the study team does not include a native speaker, it is essential that the local partner includes interpreters who are also fluent in the international working language); |
![]() | Provide translators to translate survey material; |
![]() | Provide recruiters to recruit the respondents for the qualitative research; |
![]() | Provide market research interviewers to conduct field work; and |
![]() | Organise facilities such as rooms for in-depth interviews, groups and briefings; organise equipment such as overhead projectors for the briefing and provide other facilities such as maps (to mark/code household locations), photocopying, etc. |
In addition, the local partner will, in some cases, be able to provide knowledge of local conditions which are of relevance to the study, such as details from other relevant research, information on appropriate income and age ranges, household types to be used in the questionnaire, information for sampling purposes, etc.
In some cases, the local partner will also be able to help with estimations, interpretation of results, etc., but a team experienced in stated preference analysis should be responsible for carrying out these tasks.
The issues to be treated in the analysis have to be determined. The focus could be on improving the quality of the water services or rather on avoiding a deterioration of present level of services. There is a range of issues that can influence the willingness to pay for the services and thereby the public acceptability of water and wastewater prices. The next section lists a range of issues that can be considered when conducting the analysis. The consultant should choose the most relevant ones for the research.
This is done by:
![]() | Undertaking background research |
![]() | Meeting the relevant people |
The ways to determine which issues to include in the survey are discussed in section 4.4.2.
The main determinants of willingness to pay are:
![]() | Perceived quality of water/wastewater service |
![]() | Household income |
![]() | Current price of water/wastewater |
The perceived quality may differ from the "objective" quality. Here the emphasis is on perceived quality, and hence, the issues to be determined are, for instance, whether the focus should be on both drinking water and wastewater or rather on improving the healthiness of tap water.
The consumers' willingness to pay influences the public acceptability of water and wastewater prices. However, a range of other issues is also likely to have an impact, in this respect. These issues are illustrated in Figure 4.2.
Figure 4.2:
Non-traditional issues influencing public acceptability of tariff increases
As it can be seen, there are a number of issues that may influence the public acceptability of tariff increases. Therefore, the research method must ensure that these issues are taken into account, where relevant. A number of procedures may be applied to ensure that the relevant issues are included in the research. These are described below. Of course, the qualitative research itself will also elicit valuable information on the relevant issues.
History of price and service levels
The history of price increases and service level may have a significant impact on the acceptability of future price increases. For example: Have previous price increases been justified with reference to service improvements? Has the utility delivered as promised?
If water services have previously been provided as a free (or heavily subsidised) public good then resistance to charges based on full cost recovery can be anticipated.
Has there been a history of successful public protests against price increases?
Affordability of the tariffs
This issue is discussed in depth in Chapter 5.
Effectiveness of public relations (PR)
Raising charges is never likely to be a popular measure and may become a major political issue. To convince the public of the need to increase charges, it is essential to develop a public relations strategy. This could involve the following elements:
![]() | Transparency of price setting. Assuming that the increased charges are justifiable, then openness about the reasons for raising prices and structuring them in a particular way could gain public support. Conversely, a lack of transparency could lead to alienation of interested stakeholders, public suspicion and a lack of support. |
![]() | Dissemination of information. Linked to transparency is the need for wide dissemination of information to both the general public and groups involved in the policy process so that they can understand the reasons why the charges have been increased. |
![]() | Professional PR activities (advertising, press conferences, etc.). |
Public awareness of environment and public health issues
This is a very basic but important point. If they are not major public concerns, higher charges for environmental and public health benefits are unlikely to be acceptable. This is particularly the case for wastewater treatment where the benefits of improved service are less tangible than in the case of water supply.
Political/media reaction to tariff increases
If the increased prices are turned into a campaigning issue by the media or by political parties, this will clearly have a major bearing on the reaction of the public to the charges. Furthermore, political parties can perform a leadership function, and political activists will often take a stance on political issues following the position of their chosen party. If their party is either for or opposed to the price increase, it is likely that many activists will follow this line.
The relationship between public acceptability and political acceptability is discussed in Sections 6.1 and 6.3.
Public involvement in the decision-making process
The interests of key stakeholders need to be taken into account if they are to be expected to support the price increases. In many cases, their views will visibly have to be taken into account in order to achieve "buy-in" to the proposed price increases (e.g. providing subsidies to socially disadvantaged groups in order to make the proposal politically acceptable).
Perceived utility efficiency
In most circumstances, the charges will be collected by the water utility which, in return, is expected to make the necessary investments in the water system. For this arrangement to be acceptable, there needs to be a degree of public trust in the utility - that the revenues collected will be used effectively and in the public interest. Different factors that could come into play are:
![]() | The ownership of water utility:
| ||||||
![]() | If the service provider is perceived as inefficient / wasteful / politically controlled, this is likely to undermine public support to paying increased charges. | ||||||
![]() | The effectiveness of consumer protection legislation, an independent regulator, and antimonopoly authorities. |
Perceived fairness
If charges are not perceived as being fair, they are unlikely to be perceived as acceptable. Different factors may influence the perception of fairness:
![]() | In the CIS countries, it is common for certain users to provide cross-subsidies for other users. Under such circumstances, those providing the subsidies (e.g. private sector industry) may find it unacceptable that other consumers benefit from reduced rates (e.g. public sector institutions). |
![]() | If the charges do not take ability to pay into account, they will certainly be unacceptable to those who find the new charges unaffordable. This is also likely to provoke a negative reaction in those sections of society interested in social welfare and social justice. |
![]() | If the charges are calculated without taking into account the actual water use (as it is common throughout the CIS countries), it is possible to envisage a situation where a wasteful user is billed the same as a more economical neighbour who only uses a fraction of the amount consumed by his neighbour. Under such circumstances, acceptability could depend on the perceived fairness of the water use norms. |
![]() | If meters are being introduced to some consumers, only, a possible scenario would be for those with meters to reduce their water use (and therefore their bill). If the overall water charges are increased to compensate for this lost revenue, this might have a disproportionate effect on those without meters. They are likely to find such a situation unacceptable. |
![]() | If tariff levels are significantly higher than those in other municipalities, the reasons for such difference will need to be convincingly explained, or it could become a source of public dissatisfaction. |
![]() | Procedures for enforcement need to be considered. If non-payers are cut off from the water supply, it could be viewed as socially unacceptable in relation to such an essential public utility. Alternatively, if enforcement is not perceived as being uniform (some customers are able to get away without paying), the acceptability of paying increased water charges is likely to be undermined. |
If the terms of reference are specific on certain issues, for example, defining precisely different segments to be analysed or defining which sort of changed/new/improved services to investigate, the willingness to pay for this should, of course, guide the consultant in determining the issues. If the TOR are more open-ended, the following approaches are useful to determine the issues.
Undertaking background research
The relevant issues can be determined by undertaking background research in order to understand:
![]() | the realistic technical options/alternatives and, in particular, their impact on realistic service levels (for a discussion hereof, See Chapter 3); |
![]() | financial and administrative issues such as: billing, collection of payment, enforcement of collection of payment and other rules, principles and practices of how to measure water use, the financial standing of the utility etc.; and |
![]() | the socio-economic context, in particular income levels and distribution and types of households. |
A wide range of material will typically be available which may help to determine the issues on which it is relevant for the stated preference analysis to focus. These may include:
![]() | reports, statistics, working papers etc. giving general introduction to the utility; |
![]() | previous market research reports on water or other relevant areas (such as other utilities); |
![]() | reports, statistics, working papers on the (local) economy in the area of the study showing income, socio-economic data, etc. |
Meeting the relevant people
Interfacing with experts within financing and engineering is necessary whether the willingness to pay and affordability analyses are carried out as stand-alone analyses or as part of a feasibility study. The experts can be permanent staff of the utility in question or consultants.
Discussions with engineers and financial experts are needed to gain an adequate understanding of the project context and the technical and financial operations of the water and wastewater utility.
Background information
The type of information that can be collected at this stage includes:
![]() | Details of tariff structure - how are tariffs calculated? Is it a flat rate? How much is for water and how much for wastewater? |
![]() | Possible privileges and/or subsidies, etc.? Who qualifies? |
![]() | Procedures for collection of water bills. Are they part of a household bill that also includes rent etc.? |
![]() | Collection rate. |
![]() | Consequences for nonpayers. |
![]() | Existence of meters or plans to install meters. |
![]() | Date of the last rise in water rates. Size of the last rise. Development in other key prices such as those of utilities, rent, food, transport etc. |
![]() | Other relevant information such as investment plans, environmental issues, major incidents, etc. |
![]() | The state of the economy - inflation, growth, etc. |
Following the determination of the issues the qualitative research can be conducted. If it has been concluded that a key issue of interest is to avoid a deterioration of the present water services, the qualitative research uses this as its starting point.
Qualitative research comprises open but structured interviews or discussions with a sample of users with the purpose of:
![]() | Determining the important factors as perceived by the users (healthiness of drinking water, taste, smell etc.), including checking that the factors already identified are relevant and identifying new factors of importance to the customers; |
![]() | For the key factors, e.g. healthiness of tap water, determining the likely ranges of willingness to pay to be used later for the quantitative research (see Section 4.6). An important point here is to ask respondents to bring their last water bill, as this will facilitate discussions on willingness to pay; |
![]() | Determining the language and vocabulary used and understood by the re-spondents for later formulation of questionnaires; and |
![]() | Identifying other issues of relevance not identified during the background research. |
Qualitative research is a key part of the willingness to pay methodology. It comprises the first contacts made with the users, and it helps define the issues being analysed through the quantitative research.
An important factor or issue that is not identified in the qualitative research is likely to remain undiscovered and hence constitute a major weakness of the whole method.
There are two main formats for qualitative research: in-depth interviews and focus group discussions.
![]() | In-depth interviews are face-to-face and conducted with respondents in a suitable, comfortable environment. One or two interviewers interview each respondent with consecutive translation by a professional interpreter. Each interview lasts between 30 and 60 minutes. A programme of 6-12 interviews is required. The number of interviews required could be higher if there are different groups with different attitudes in the area, or if the level of service provided differs substantially among consumers in the area. |
![]() | A focus group consists of a group of typically eight respondents. The members of the group should represent water users in general. If more than one focus group is established then there is an opportunity for segmenting the groups (e.g. one focus group of men and one of women) to identify whether there are differences between the segments. Obviously, awareness questions can only be tested in a focus group by including, for example, a small questionnaire to be filled in individually by group members. Focus group sessions typically last approximately 2 hours. |
Focus groups have the following advantages compared to in-depth interviews:
![]() | respondents can inspire each other; |
![]() | respondents also act as interviewers when asking each other questions; |
![]() | respondents might feel less "interrogated"; and |
![]() | it takes less time per respondent included in the research. |
Some disadvantages are:
![]() | risk of side-tracking the discussions; |
![]() | risk of very dominant/reluctant group members; |
![]() | difficulty of testing the awareness of group members since they educate others; |
![]() | the general demands on the moderator are greater than those on experts undertaking indepth interviews; |
![]() | risk of group pressure, hiding the points of view of individual respondents; and |
![]() | some personal questions are more difficult to discuss in a focus group e.g. income. |
For both in-depth interviews and focus groups, a financial incentive for participation should be provided (equivalent to approximately two hours' wage income or 2-15 EURO, the lower end being relevant in the CIS, the higher end in CEE).
Both the in-depth interviews and the focus groups use a topic guide (see Section 4.5.3 below). This is prepared using relevant background information.
Recommendation: A mix of in-depth interviews and focus group discussions provides the best approach for the qualitative research. For example, the focus group can provide information that cannot be elicited in the in-depth interviews and vice versa.
Text Box 3:
Focus group in Kaliningrad, Russia
In the focus group, it was learnt that some respondents did not pay their bills on time (often paid many months in arrears). The in-depth interviews included a question asking whether people paid their water bill. The response was "yes". So, the respondents who said they paid their bills did not necessarily mean that they paid the most recent bill. Another example is the storage of water. In the focus group, one person mentioned that they kept a week's supply of water from the well. Then most said they also kept reserves of filtered water or water from a well. |
There are two options in relation to the moderation of the focus groups:
![]() | Moderated by a member of the research team with consecutive translation of questions and simultaneous translation of responses |
or
![]() | Moderated by a local expert with the research team following the discussion through consecutive translation of questions and answers. |
Both options have advantages and disadvantages. The former puts the research team more in control and allows issues to be probed further, if necessary, but it seems to inhibit some freeflowing discussion because of the breaks due to translation.
The latter provides for a much more free-flowing discussion, although we would recommend that the group be taped (sound only or video and sound) so that the translation does not take place in the same room. This is because the translation can affect the group dynamics, with some participants talking to the study team and not the other group members. Also, this approach would work much better if the moderator is an experienced group moderator and well versed in the local water issues.
Text Box 4:
Quantitative research in Brno, Poznan and Kaliningrad
Brno: 12 in-depth interviews were carried out. Poznan: 6 in-depth interviews and one focus group discussion were carried out. A member of the consultant is team moderated the focus group. Eight customers participated in the focus group discussion. Kaliningrad: 6 in-depth interviews and one focus group discussion were carried out. A local person not experienced in moderating focus groups moderated the group. Eight customers participated in the focus group discussion. |
For qualitative research only a small sample is required. It would typically cover representatives of the major segments of the relevant users.
For water research, "relevant users" include the entire population in the geographical area in question. The sample for qualitative research should be chosen in such a way that it can be expected to reflect all possible service issues. The sample should not reflect the proportions in the population.
It is our experience that in-depth interviews with 6-12 customers and one focus group discussion are sufficient.
Text Box 5:
Characteristics of sample for in-depth interviews and focus groups in Poznan,
Poland
In Poznan, the respondents were stopped in the street and asked to participate in the research. The sampling for the qualitative research was described as follows. "The people selected for interviews and the focus group should include both young and older people, they should represent broadly different housing and family characteristics, and they should have no links to the Poznan Water Utility". |
The content of the topic guide will depend on the local circumstances as elicited from the terms of reference, background research and discussion with relevant people as described in Section 4.4. The topic areas are likely to include most or all of the following areas:
![]() | Introduction to the survey |
![]() | Respondent characteristics |
![]() | (Cold) water supply14 |
![]() | Assessment of present (cold) water service |
![]() | Assessment of present wastewater service |
![]() | Political issues |
![]() | Attitudes to the water company |
![]() | Payment of water bills |
![]() | Willingness to pay. |
A generic example of a topic guide is included in Appendix 4.
The format of the topic guide should allow plenty of room to write down responses.
The nature of the qualitative research process means that the topic guide is used as a structured guide to the process. It is important that the topic guide is used as a launch pad for enquiry rather than a structured questionnaire. The interviewer should explore further areas which reveal themselves to be of interest.
Not all topics in the guide are necessarily covered, and also, those covered may occur in a different order than that shown in the guide.
Text Box 6:
Evolution of the topic guide in Brno, the Czech Republic
During one of the in-depth interviews, a respondent mentioned that his household used bottled water for cooking. Later interviews, therefore, probed the use of bottled water, which turned out to be very high. |
Following the qualitative research, the consultancy team will meet to discuss the findings of the research. This process involves going through the written notes from all the interviews/focus group discussions, topic by topic to assess the importance or weight of opinion for each topic area.
A report is then prepared based on the results of the qualitative research.
The quantitative research is designed using the findings of the qualitative research, and will provide quantitative measures of willingness to pay as well as other aspects of interest. The quantitative research includes the following steps:
![]() | Design of the sample |
![]() | Design of the questionnaire |
![]() | Design of stated preference games |
![]() | Translation of survey materials |
![]() | Briefing of interviewers |
![]() | Pilot phase of the field work |
![]() | Pilot phase report |
![]() | Main phase of the field work |
![]() | Field work quality control |
![]() | Coding of questionnaires and data entry into database |
![]() | Data analysis |
![]() | Reporting |
Each of the steps is discussed in detail below, and the text includes examples from the case studies.
The sampling methodology is critical since the results must be representative of the population in order to be valid.
Ideally, a stratified random sample using electoral roll data would be used. In practice, the budget and/or availability of appropriate records may not allow such an approach. Therefore, a sampling method must be designed which, as far as possible, results in a representative sample.
Text Box 7:
Sampling methodologies. Examples from Brno, Poznan, and Kaliningrad
In the case studies, three approaches were used. In Brno, the respondents were chosen on a "1 in n" basis from the telephone book. In Poznan the respondents were recruited in households using a random walk process, then specific flats were chosen at random (with the floor number chosen at random). The sample in Kaliningrad was chosen from a consumer panel used for an expenditure survey. The panel itself was rigorously sampled on a stratified basis which ensured that the respondents for the stated preference were representative of the population in Kaliningrad. |
Regardless of the method applied, special care should be taken to ensure that the sample
is randomly chosen and that it is appropriate. For example, in a region with a low level
of telephone ownership, phoning respondents would not be appropriate.
If the aim is to interview a representative sample of the inhabitants of the city, extensive and recent data on inhabitants has to be available.
In practice, a random sampling approach is most appropriate when data on inhabitants is not available or of poor quality.
Whatever the sampling approach, a call-back regime should be instituted so that the sample does not over-represent those who are more often at home (typically the elderly and the unemployed). Such a call-back regime means that, if there is no one at the sampled location, you call back up to three times at different times and days.
Finally, the approach should ensure that the person responsible for paying the water bill is interviewed.
The questionnaire can be divided into two parts: a general part on the socio-economic variables, water usage and attitudes towards the present service levels, and another part including the stated preference questions. The two parts of the questionnaire are described below. A generic questionnaire with a wide range of questions is included in Appendix 5.
General part of the questionnaire
The questionnaire is designed on the basis of the information gathered in the background research and the qualitative work.
The questionnaire should include:
![]() | Assessment of existing water and wastewater services |
![]() | Attitudes towards water and wastewater services |
![]() | Importance of improvements in water and wastewater services |
![]() | Payment of water bills |
![]() | Respondent characteristics |
![]() | Other subjects of interest, e.g. attitudes towards the water company, political attitudes, attitude towards recycling. |
The questionnaire may also include questions on expenditure, if income data is deemed unlikely to be of great validity (for instance because public sector employees have not been paid for a considerable amount of time, and/or there is a significant grey economy).
Some questions should be asked with respect to different seasons. For example, bottled water usage in a typical summer month and a typical winter month.
Many subjects can be covered by a questionnaire. However, a selection has to be made in order to keep the length of an interview acceptable to the respondent (20 to 30 minutes). It should be borne in mind that the stated preference part of the questionnaire will take about 10 minutes.
Identification of stated preference variables and levels
A list of possible improvements in the water services will have been identified in the background research and the qualitative research. Probably, it will not be possible to accommodate all options in the stated preference game so the most appropriate ones should be selected.
The possible changes in service levels can then be divided into two or three groups. The most important services are included in a stated preference game as described below.
The other, less important changes in service levels can be included in importance-rated questions in the questionnaire in order to obtain information on the respondents' evaluation of other services. If the changes in service levels from the stated preference are also included in the importance ratings, then a link can be made between the stated preference 'willingness to pay' values and the other values (although this is not a statistically robust approach).
Some possible changes in service levels may be assessed to be of minor relevance/importance and, therefore, not included in the questionnaire at all.
This section describes the design of a stated preference game. We would recommend that just one stated preference game be undertaken. This is to ensure that the questionnaire does not become too long, and that the task is not too complex for the respondent. It is technically possibly to include more than one stated preference game and, with a link variable, to assess the willingness to pay for a large number of variables.
The willingness to pay for water service is examined using stated preference techniques. A stated preference game consists of a number of factors - normally three or four. One of these factors is the tariff, and the rest are service factors of interest, e.g.
![]() | Water quality |
![]() | Smell |
![]() | Colour/clear water |
![]() | Pressure |
![]() | Hours of water supply per day |
![]() | Standard of wastewater treatment. |
The choice of the service factors depends on the current standard of the supply, the feasible improvements and consumer requirements. Each of the factors has two, three or four levels, each of which describes a certain service level.
An example of a choice task in the stated preference game is presented in Text Box 8.15 From the choices that the customers make, it is possible to infer the willingness to pay for each of the changes included in the choice task.
There is a limit to the number of choices a respondent can undertake before losing interest. As a rule of thumb, we recommend that eight choice tasks be presented to each of the respondents. Eight choice tasks are sufficient to estimate a model, and adding more choice tasks to the questionnaire often does not provide more information as there is a fatigue effect making respondents answer randomly to the last questions. The number of choices should be tested in the pilot interviews.
Text Box 8:
Stated preference game choice task, Kaliningrad, Russia
Here, the respondent must decide whether she prefers A) to pay 50% more to have water that is always safe to drink, with no smell at all, and supplied 24 hours a day with good pressure, or B) to have water as now and only pay 10% more. If water quality and supply are important issues to the respondent, and there is an ability to pay, A) may be preferred. If money saving is important to the respondent and/or there is little ability to pay, B) may be preferred.
|
Text Box 9:
Factors and levels in a stated preference game, Kaliningrad
|
The actual choice pairs presented to the respondent should be chosen in such a way that
all parameters can be estimated without multicollinearity. This is achieved by applying an
orthogonal design. This means that the various combinations of the factors and levels are
sufficiently varied so that the willingness to pay can be estimated for all service
changes. This is done by using the appropriate software like SAS16. Other software packages include Speed/Mint from Hague
Consulting Group (www.hcg.nl) and Sawtooth Software's SMRT (www.sawtooth.com).
It is recommended not to include trivial choice tasks where one alternative dominates the other, e.g. where the left-hand side describes an improved situation with improved water services at a lower tariff, and the right-hand side describes the present situation.
4.6.4 Translation of survey materialsThe questionnaire and briefing notes for interviewers should be translated into the language of the c s that there is more room for misinterpretation than in prose. Also, there may be cultural differences in the use of language.
Text Box 10:
Cultural differences: Quality rating in Brno and Poznan
In Brno and Poznan, the study team found that the rating scale 'very good' through to 'very poor' could not be directly translated to the local languages. Therefore, the rating scale was translated to a wording that made sense to the local inhabitants (in English the rating scale still translates to 'very good',..., 'very poor'). |
Therefore, the translation of the questionnaire should be discussed with the translators,
allowing them an opportunity to raise any relevant issues.
Furthermore, the design and levels of the stated preference games should be thoroughly checked so that design and levels are exactly the same in the English language version and in the local language.
4.6.5 Briefing of interviewersThe interviewers for the pilot and the main phases will need to be briefed face to face. The briefing is required in order to:
![]() | Explain the background of the research; |
![]() | Describe the tasks they are to perform in terms of: |
![]() | Sampling including how to choose appropriate respondents, what to do in case of non-response, call backs procedures, etc. |
![]() | Recruitment questionnaire, if applicable (to register appointments for later interviews) |
![]() | How to fill in the questionnaire including explanation of probes (asking if there are any other reasons), jumps ("go to" instructions from one question to another), what to do if responses cannot be coded etc. |
![]() | Manner and approach with respondents. |
![]() | Handing out incentives (if applicable). |
![]() | Return of questionnaires etc. |
The briefing session will last about 3-4 hours. There should be an interpreter present to translate the briefing to the interviewers.
An overhead projector should be used (if possible) so that the questionnaire can be projected to facilitate the detailed explanation of the questionnaire.
After the briefing on the questionnaire, the interviewers should split up into pairs and interview each other, so that each interviewer has undertaken an interview and been interviewed. The completed questionnaires will be checked by the consultant to ensure that the questionnaire has been completed properly (e.g. answers being circled, routings ('go to' instructions) being followed) and that the stated preference games have been answered 'correctly'. The latter issue includes assessing whether the respondent has understood the task and checking that there is internal logic in the choices, whether there is consistency in responses etc.
If the consultant perceives any lack of understanding, then she will explain again to the interviewer how the task should be done, and if appropriate, inform the whole interview team.
A generic set of briefing notes is included in Appendix 6.
4.6.6 Pilot phase of the field workThe pilot survey is used to test the methodology as well as the design of the questionnaire and the stated preference games. Therefore, the method used in the main survey should be adopted in the pilot as well. A full briefing session should be undertaken (as described in Section 4.6.5). The length of time required to conduct the interview should also be recorded.
A pilot phase comprising 25 to 30 interviews is considered sufficient.
A debrief session should be conducted by the consultant with the interviewers and an interpreter. This will establish at first hand whether there are problems with the method or the questionnaire. It will also allow the consultant to check that the questionnaires have been filled in correctly.
The data from the pilot phase should then be coded, the data entered in a database and the results analysed. The answers are checked in order to ensure that all questions are well understood, and that the stated preference game is working well. Checking the stated preference games includes assessing if all parameters are relevant to the consumers, and if the levels of e.g. cost are perceived to be within realistic limits. For example, if respondents always choose alternatives with the lowest cost in the stated preference choices, the cost levels should be adjusted downward.
4.6.7 Pilot phase reportIn the pilot phase report, special emphasis should be placed on checking that the stated preference games worked well. It may be necessary to make changes to the stated preference games if, for example, the levels of the tariff are too high or the respondents do not understand a certain service level.
The analysis of the stated preference game in the pilot phase report should include answers to the following:
![]() | Do all the stated preference choice tasks work well? |
![]() | Do respondents trade off between the factors? |
![]() | Do the parameters have the expected sign, i.e. negative for cost and positive for service improvements? |
If a choice task is working well, there should be respondents that choose both alternatives for any given choice pair. If all respondents choose the same alternative, the choice task might be too obvious, and the design should be changed.
Text Box 11:
Do the stated preference choice tasks work well?
An example of the pilot analysis undertaken in Kaliningrad is given in the table below. Here, the respondents were given eight choice tasks, numbered 1 - 8. All respondents agree that A is preferred to B in choice task 3. Thus, the information from this choice pair will be poor, as the choice is too obvious. Chosen alternatives by choice number
This means that e.g. choice task 3 is not giving much extra information. In order to examine the cause, it is necessary to analyse the actual choice pair, cf. Text Box, 12. |
Second, the pilot analysis should reveal whether one factor dominates the choices so that
the respondents do not trade off on other factors. This might occur if the tariff levels
include levels which are so high that respondents choose the cheapest alternative in all
choice tasks.
Text Box 12:
Do the trade-offs work well?
The table below gives the number of respondent who chose the 'better' alternative for each factor. Here Cost is a dominating factor as most of the 25 respondents in the pilot choose the 'better' (i.e. lowest cost) alternative in most of the games. Choice no. 1 is the one where most respondents chose the more expensive alternative (cost did not vary in choice no. 7). Pilot:
Final:
|
Finally, the parameters of a logit model are estimated, cf. Appendix 9. While 25 - 30
respondents are not sufficient to obtain a reasonable model, estimation on 25 - 30
respondents can reveal if the expected signs are obtained (negative for cost and positive
for improvements in water service or quality).
Adjustment of the questionnaire
On the basis of the analysis of the results of the pilot phase, changes should be made in the questionnaire.
If major changes are necessary, e.g. if the pilot analysis shows that one or more factors should be replaced, another pilot analysis should be undertaken17.
4.6.8 Main phase of the field workThe number of respondents interviewed in the main phase depends on the intended segmentation of the households. The main phase should include at least 125 respondents, allowing 150 respondents for the analysis18. This enables analysis of two segments, e.g. poor and rich. If more segmentation is needed, at least 75 respondents per extra segment should be interviewed. The number of observations needed is based on experience with stated preference surveys and differs according to the type of problem and method applied.
In general, the more observations the better, as the variance of the parameter estimates declines as the number of observations increases. The interviewing costs are relatively low in the CEE and CIS countries, implying that a higher number of respondents can be considered in order to get more robust results and more possibilities of analysis.
A full briefing, preferably with (or at least including) the team that undertook the pilot analysis, should be undertaken.
Interviewers should be provided with recruitment questionnaires (if applicable), main questionnaires, showcards, sampling details (such as maps, lists of respondents), incentives (if applicable) and briefing notes.
A strict time schedule for all interviews to be completed should be set. Questionnaires should be returned frequently during the field work period in order to check if the questionnaires are completed correctly. This is to ensure that none of the interviewers are making mistakes.
4.6.9 Field work quality controlA back-checking procedure is important to ensure the quality of results and, of course, to ensure that the questionnaires are genuine (and not filled in by the interviewers at home). A sample of 10% should be back-checked and, therefore, it is important to make sure that addresses or phone numbers are provided for the respondents so that it is possible to call them back. If an interviewer does not fill in addresses or phone numbers, then the survey team should consider withholding his/her payment until it can be made sure that the interviews actually took place.
The back-checking questionnaire should include questions that can be verified against the answers from the questionnaire. Furthermore, the back-checking questionnaire should include questions on the manner and length of the interview and whether an incentive was paid (if relevant).
A generic back-checking questionnaire is included in Appendix 7.
4.6.10 Coding of questions and data entry into databaseThe local partner should code the data into an agreed format. In order to avoid misunderstandings and errors in the coding, a spreadsheet should be prepared by the consultants which includes all the questions in the questionnaire along the top axis, with each questionnaire to be entered as a row.
4.6.11 Data analysisThe data should be checked for consistency. An immediate check of the data is an examination of the minimum and maximum for all variables in the questionnaire. This can easily be done in a database program.
Result of the questionnaire
If only a few minor changes were made to the pilot questionnaire, both the data from the pilot phase and that of the final questionnaire can be included in the statistical analysis. However, where questions differ in the two versions, the results from the pilot phase should be excluded.
The stated preference data is analysed by applying advanced statistical tools. A Logit model is estimated. Before estimating the model, a set of a priori hypotheses are described and tested in the model. Examples of such a priori hypotheses are:
![]() | consumers with a higher income have a higher willingness to pay; |
![]() | only consumers living on the 4th floor or above are more willing to pay for a higher water pressure than consumers living on the 1st floor. |
The model also allows for different willingness to pay levels for consumers with different characteristics, e.g. age. However, all effects in the model must have a clear interpretation.
Estimation of a utility function
From the answers of the stated preference questions, a utility function can be estimated. The utility function evaluates the alternatives by tariff and service characteristics.
The theoretical approach to the estimation of the willingness to pay higher tariffs is that of microeconomic consumer theory. In consumer theory, individual consumers choose consumption bundles to maximise utility. In stated preference games, the respondent is asked to choose an alternative between two alternatives, A and B, so this is a discrete choice. Letting U represent the utility function, respondent i will choose the alternative that implies the highest utility:
The alternatives are described by a number of attributes, x1, x2,..,xk, and these attributes are different for each respondent and each choice. The choice of the consumer reveals the consumer's preferences among the alternatives.
A probability model is used in order to allow for uncertainty. The probabilistic model is used in order to be able to allow effects of unobserved variation among the respondents and to take pure random choices into account as well as errors in measurement or incorrect information.
The model is estimated by maximum likelihood. This estimation method gives unbiased and efficient estimates. The method is discussed further in Appendix 9, and an example of the model estimated is given in Text Box 13.
Text Box 13:
Estimated utility function, Kaliningrad
For the Kaliningrad case study, the estimated utility function was: where the Pi(A) is the probability of respondent i choosing A instead of B Ù is the cumulative logistic function, and the ß's are the parameters to be estimated. Finally, the variables in the formula represent the difference between the values of alternative A and alternative B, e.g. Tariffi = Tariffi A - TariffiB. For the Kaliningrad case study, the importance of the price differs between consumers with high income and consumers with low income. Therefore, two different parameters where estimated. Naturally, consumers are expected to prefer lower tariffs to higher tariffs so the signs of both ßTariff (low income) and ßTariff (high income) are expected to be negative. Furthermore, it is expected that the consumers with a low income dislike higher tariffs more than consumers in the high income group, and hence it is expected that ßTariff (low income)<ßTariff (high income). Consumers in different age groups have different evaluations of the importance of the water being always safe to drink. Therefore, different parameters for three age groups have been included in the model. There is no a priori expectation as to which age group has the highest willingness to pay for safe drinking water. The three remaining parameters estimated in the model do not vary for different socioeconomic groups. However, 24-hour supply is only a relevant improvement for consumers without all day supply. |
Results of the stated preference games
The estimated parameters are evaluated with standard statistical tools and common sense. The t-statistic is used to test if a parameter is significantly different from zero - this is the case when the t-statistic is greater than 1.645 for a single sided test and 1.96 for a double sided test.
Text Box 14:
Estimation results for Kaliningrad
|
Tariff |
Water safe to drink |
No smell |
24 hours supply |
Always good presure |
|||
low income |
high income |
Age 18-44 |
Age 44-54 |
Age 55+ |
||||
Estimate |
-8.825 |
-5.941 |
1.636 |
1.273 |
0.829 |
0.191 |
0.507 |
0.388 |
t-ratio |
-9.2 |
-9.0 |
8.9 |
6.0 |
5.0 |
1.6 |
3.7 |
2.5 |
Calculation of the willingness to pay
The willingness to pay is calculated from the parameter values. This is done by dividing the parameter for the service level(s) of interest by the tariff parameter. By this method, the value of a service level is measured in the same units as the tariff.
Text Box 15:
Calculation of willingness to pay, Kaliningrad
In the case study in Kaliningrad, the willingness to pay extra for water always being safe to drink among low-income consumers between 18 and 44 years of age was: The tariff is measured in percentage changes in the current tariff, so the result is that this group is willing to accept a tariff increase of 19% to have tap water that is always safe to drink. |
Non-additivity of willingness to pay results
It is important to note that the results are not additive. Thus, the analyst may conclude that the willingness to pay extra for water always being safe to drink among low-income consumers was 19%. Similarly, the analyst may conclude that the willingness to pay extra for water not having any smell among low-income consumers was:
However, it cannot be concluded that the willingness to pay extra for water always being safe to drink and not having any smell is 21%.
A full report should be prepared. As a minimum, it should include:
![]() | Description of the method including sampling, recruitment and back-check procedures. |
![]() | Details of the pilot analysis. |
![]() | Results of the market research. |
![]() | Results of the stated preference research. |
![]() | Examples of the survey material. |
When making the final analysis and preparing the report, it is important to make sure that the results are presented in a way which will allow the results to be used when decisions are made on investments leading to changes in service levels. It is important to focus on results and their uncertainty. Due to the relatively complicated estimations and methods applied, extra care is needed in presenting the results in an easy-to-read fashion supplemented with graphical illustrations.
Furthermore, it will often be very useful to present both results and suggested policy guidelines in the reporting.
The graphical illustration (Figure 4.3) from the Poznan case study shows the willingness to pay for, respectively:
![]() | Moving from the current situation to a situation with always clear water; and |
![]() | To avoid moving from the current situation to a situation with "slightly coloured" water. |
Figure 4.3:
Willingness to pay illustration, Poznan
Note: The data is weighted by the age and gender distribution in the Poznan urban region, census 1996.
The interpretation of the figure concludes that the consumers are willing to pay a maximum of 1.20 PLN extra per cubic meter to avoid that the water becoming slightly coloured. That is, they prefer that the water becomes slightly coloured to a price increase of more than 1.20 PLN.
Similarly, the consumers are willing to pay a maximum of 0.70 PLN extra per cubic meter to get completely clear water at all times. This is an improvement compared to the current situation.
This demonstrates that when presenting the reasons for investments to the users, the main argument should be the possibility of avoiding slightly coloured water in future. The willingness to pay in order to receive clear water is lower, which indicates that the water is probably quite clear already. If an investment were to avoid a future situation with slightly coloured water, the households would be willing to pay for this investment, in the magnitude demonstrated in the figure.
Text Box 16 illustrates (in bullet form) the main results and the policy guidelines which were presented in the Poznan case study report.
Text Box 16:
Key policy guidelines based on willingness to pay research, Poznan
In Poznan, a few selected key policy guidelines were identified, based on the willingness to pay research:
|
The payments from enterprises and public institutions often constitute a large part of the water utility's revenue. Therefore, when assessing the future revenue, it is important to also consider the willingness to pay for improved water services among enterprises and public institutions.
This is particularly the case in those cities in the CIS countries where enterprises pay a much higher tariff for water services than households do. In this case, there is a substantial cross-subsidisation of the household consumers, and there may be pressure from enterprises to reduce the crosssubsidation.
Furthermore, public institutions may have a significant consumption of water and receive large water bills, but they do not always pay for the services provided to them. At the time of the case study, the Navy in Kaliningrad was such a public institution.
In order to include these issues in the analysis, meetings should be arranged with the large institutional consumers (enterprises and public institutions). It is important to include both the consumers with a large volumetric consumption and the consumers which contribute a large part of the water utility's revenue. The suggested interview approach is preferable to a questionnairebased survey. The number of large relevant institutions is limited, and interviews may provide much relevant information both on the available alternatives to buying water from/sending wastewater to the municipal utility and on political acceptability issues.
Text Box 17:
Willingness to pay among enterprises and public institutions
If there are consumers who use large amounts of water and/or contribute a large share of the water utility's revenue, interviews should be conducted with these consumers in order to investigate their preferences and likely reactions to an increase of the tariff. Such interviews should, at least, include the following questions:
|
The purpose of the demand analysis is to measure how changes in price and income affect the water consumption. The demand analysis is important because the demand influences the optimal capacity of water and wastewater schemes. Two effects are considered:
![]() | an increase in tariffs may lead to lower water demand, which again leads to lower revenues for the water company; |
![]() | an increase in household income over time may lead to higher water demand, which again leads to higher revenues for the water company. |
It is not relevant to investigate the price sensitivity of the demand if the water bill is not paid according to the actual water consumption. In this case, neither the water tariff nor the income will affect the volume of water consumed. However, many water utilities give household consumers the option to pay volumetric charges according to meter if they install their own meter.
In these cases, analysis of the price sensitivity of demand will be important. Generally we recommend that analysis of the price sensitivity of demand be made unless it is clear beyond reasonable doubt that such analysis will not become relevant at a later stage.
This section gives recommendations on how to assess the sensitivity of households' water consumption to changes in tariffs and household income. First, possible ways to gather data are discussed and, second, a method to estimate price and income sensitivity based on data collected in the quantitative survey is presented.
4.8.1 Data and their collectionIn order to analyse the relation between tariffs, income and water demand, detailed information on these issues is needed, on a household level. Macro-economic data on income, water consumption and tariffs can also be used if a sufficiently long time series is available. However, microeconomic models often give a more precise description of the customers' behaviour.
Types of data
The price sensitivity can be found by using both revealed preference data (RP) and stated preference data (SP). SP data should be used if good RP data is not available. However, as stated earlier, this is often the case.
If RP data is available, it is recommended to collect more observations for each household, e.g. the consumption, tariffs and income for the last three years. This is because there is a difference between measuring changes over time for a household and measuring differences between households at one point of time. The latter is done when cross-section data is collected. In a cross-section analysis, the water consumption for different individuals is analysed. The analysis shows that differences in household income result in differences in water consumption.
If data is collected over several years, it is possible to analyse the individual effect for each household and thus obtain more reliable income sensitivity based on a dynamic analysis. Some household expenditure surveys may provide these (panel) data. In order to use the RP data, information on changes in income and other determinants of water consumption, such as the number of household members, is needed. The dynamic analysis is highly relevant, because the change over time is important in order to assess the possible changes in water demand as the income increases over time.
Data collection
If household expenditure panel data is not available or not sufficiently detailed, RP data on water demand can be collected through the water company or by asking the respondents to bring their water bills to the interview (either as part of a stated preference survey or an expenditure survey).
RP data provides the best basis for evaluating the relation between price and water demand, as the data represents the actual behaviour. SP data is useful if no RP data is available or if there is only limited variation in the tariff over time.
It is possible to collect SP data by asking the respondents if they would change the amount of water consumed if the tariff was changed by a specific amount.
Text Box 18 gives an example of SP data collected in this way in Brno.
Text Box 18:
Data on water demand collected in Brno
No registered data was available on water demand and income in Brno. Therefore, the respondents were asked to bring their water bills for the last three years to the interview. These water bills were used to obtain data on the amount spent on water by each of the households. In cases where the respondents did not have the water bills, the amount was estimated. Furthermore, the respondents were asked to state the changes in their income over the past three years. Two specific changes in the water tariff were presented to the respondents as SP questions. The respondents were asked to state the expected consumption for each of the tariffs. This was done in order to obtain more variation in the value of the tariff variable in the model. |
By adding a few questions to the generic quantitative questionnaire in Appendix 5, it is
possible to obtain data that can be used to estimate the sensitivity of demand to changes
in price and income. This is demonstrated in the Brno case study, see Appendix 14.
The sensitivity is measured by elasticity. The price elasticity is defined as:
![]() | the percentage change in water demand in response to a 1% increase in the price per cubic meter. |
This elasticity is expected to be negative, as the consumption is expected to decrease in response to higher tariffs. Furthermore, it is expected that the elasticity is low, i.e. numerically less that one. This means that the water consumption decreases by less than 1% in response to an increase in the water tariff of 1%.
This is anticipated because water is a necessity that most households would continue to consume even if the tariff increases. A decrease in water consumption can be due to more water efficient installations, changed habits, etc. In some cases, a large increase in the price of water may "provoke" a radical change in habits, investments in more water efficient installations etc. The price sensitivity of water demand which results from the calculations should always be assessed in the light of the current level of water use relative to the water consumption in the "best" cities in Western Europe. In many of these cities, the water consumption is in the 100 - 120 lcd range.
At high levels of current consumption, there is more "room" for a substantial decrease in consumption in response to a price change, and low (numeric) values of the price elasticity should be viewed with some suspicion.
The response in water consumption is expected only if the tariff is paid per cubic meter. If, instead, the tariff is paid per household member, relative to the size of the apartment etc., the price elasticity of demand is expected to be zero, i.e. no change in water demand as a result of a price change.
The income elasticity is defined as:
![]() | the percentage change in water demand in response to a 1% increase in income. |
The income elasticity is expected to be positive, as consumers are expected to increase their consumption as they become wealthier. The general income elasticity may change over time and differ among income groups.
In economies with high incomes, most consumers have satiated their demand for water, and a further increase in water consumption is therefore not likely. In the short term, in this case, the income elasticity is low. In the longer term, changes in housing patterns (a larger share of individual houses with gardens) may lead to changes in water consumption.
On the other hand, in economies where water consumption is a significant item in the household budget, an increase in income is likely to have greater impact on water consumption. In this case, the income elasticity is higher.
It is plausible that the income elasticity changes for households with different levels of income. For instance, a poor family might increase its water consumption more than a wealthy family in response to an increase in the family income. This is because the wealthy family has reached a threshold where it uses the amount of water it wishes to use without considering the price. An example of how to find elasticity is given in Text Box 19.
Text Box 19:
Elasticity of water demand in Brno
To compute the price and income elasticity, it is necessary to know how the respondents will react to an increase in price, other things being equal. Therefore, a demand model including all data collected is estimated. The prefix ln indicates that a logarithmic transformation has been made, ß is the price elasticity and g is the income elasticity. eit is the unexplained part. The index i is the household, while index t indicates that there are more observations for each household. The price elasticity is estimated at -0.18, which means that a price increase of 10 per cent results in a 1.8 per cent decrease in water consumption. The income elasticity is estimated at +0.33, which means that an increase of 10 per cent in income results in a 3.3 per cent increase in water consumption. Hence, the water consumption of the respondents is, as expected, quite insensitive to price, but the income elasticity is relatively high. The results show that the households are not likely to reduce their water consumption very much further in response to an increase in price, but that they will use more water if their income increases. |
12 | The reader interested in stated preference or conjoint
methodologies is refered to Green, P., A. Krieger and Y. Wind: Thirty years of conjoint
analysis: Reflections and Prospects. Interfaces 31, pp. 56-73. 2001. |
13 | The tools could be used in developing countries as well.
However, it would be necessary to take into account the fact that, in many cities in
developing countries, a large share of the population is not connected to public water
supply. Thus the study of willingness to pay would have to include considerations related
to the cost of connection as well as the availability of competing sources of supply
(street vendors). |
14 | In the CEE countries and the CIS, many water utilities supply
cold water only, while the district heating company supplies hot water (for both heating
and other uses). In this situation, it may be relevant to focus on cold water only. This
has been the case for all our case study municipalities. |
15 | This and the following text boxes related to the stated
preference game have all been taken from the same case study (Kaliningrad) to give a
better flow in the un-derstanding of the examples. |
16 | A description of the possibilities in SAS can be found on
http://ftp.sas.com/techsup/download/technote/ts650/ts650.pdf. |
17 | In the case studies no new factors were introduced after the
pilot analysis, and hence it was only conducted once for each study. Downward changes in
the level of cost were made in the case studies in Kaliningrad and Brno. |
18 | In each of the case studies, 25 pilot interviews and 125 main phase interviews were conducted. |