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In our example considering distributional effects, the project increased its social value by 53.21. In other situations, as in Table E.3, welfare weights may reduce the social value of the project as a consequence of regressive benefits distribution.

Table E.3 Example of weights for regressive distributional impact

 

 

 

 

 

Classes

Net benefits

Elasticity 0.7

 

Distributional impact

High income

150

0.8176

122.64

Medium income

100

0.9289

92.89

Low income

50

1.5090

75.45

Total

300

 

290.98

A final shortcut for including distribution considerations is to focus solely on the impact of the project on the most disadvantaged groups. In fact, an additional analysis, along with the financial and economic analyses, will focus on the impact of the project on the welfare of specific target groups (the poor, ethnic minorities, the disabled, etc.).

The simplest solution is to establish some affordability benchmarks. For example, the share of water or other essential services expenditure should not exceed a given threshold share of income of the target group (e.g. the bottom quintile).

Study on affordability shares for gas and electricity services

In an EC study118 the shares of income spent on gas and electricity services in EU25 countries was shown. The affordability was assessed for incomes below the risk-of-poverty threshold, which corresponded to 60% of the median national equivalised disposable income.

For these low-income users between 2003 and 2005 the average share of electricity expenditure for the old Member States was 0.9% and for the 10 new Member States it was 1.9%. The 2005 figures for gas were 0.76% for EU15 and 1.36% for new Member States.

Figure E.1 Percentage of low income spent on electricity services by low-income consumers

Source: European Commission, DG Ecfin (2007).

118 European Commission, DG Ecfin (2007).

219

Figure E.2 Percentage of low income spent on gas services by low-income consumers

Source: European Commission, DG Ecfin (2007).

When focusing on the bottom quintile, the shares can be much higher than in this study as long as average income in that group is considerably lower.

In fact, project implementation could be affected when the ‘losers’, because of the redistribution effects, are lowincome households, left without any compensation. Extremely poor households could have no other choice than to stop paying for the service or avoid using it, with consequences for the project’s financial sustainability and social unrest. Project proposers should consider appropriate remedies (e.g. progressive tariffs, vouchers or subsidies for avoiding serious social tensions due to the project).

Table E.4 shows some critical ratios from empirical observation: the share of persons who avoid using the service (replacing it when possible) or that do not pay for it, and the ratio of expenditure to total income they face.

Table E.4 Share of expenditure and service exclusion, self-disconnection, or non-payment in some sectors and countries for the bottom quintile

 

ELECTRICITY SECTOR

GAS SECTOR

WATER SECTOR

 

 

 

 

 

 

 

 

BOTTOM

Share of income

% of no

Share of income

% of no

Share of income

% of no

QUINTILE

on electricity%

expenditure*

on gas

expenditure*

on water

expenditure*

Bulgaria

10

1

3

0

5

14

Hungary

7

3

11

8

5

22

Poland

10

41

7

48

4

51

Romania

6

34

7

32

6

42

Turkey

10

50

29

56

5

59

Source: Lampietti, Benerjee and Branczik (2007).

* Households may report zero payment for a variety of reasons, including lack of connection, self-disconnection free riding, poor service quality, billing cycles and arrears.

Table E.4 suggests as an empirical rule, that if the bottom quintile has to bear expenditure equal to or higher than a certain share of its revenues for utilities, then strong interventions are necessary because a substantial percentage of users will stop paying for the service or will disconnect.

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UTILITY POVERTY IN THE UK AND IN ITALY

UK Fuel Poverty Strategy November 2001 defines a household in fuel poverty if it needs to spend more than 10% of its income on fuel for a satisfactory heating regime (i.e. generally 21 degrees in the main living area, and 18 in the other occupied rooms). Fuel poverty mainly depends on the energy efficiency status of the property, the cost of energy and the household income.

To tackle fuel poverty the UK Government and Devolved Administrations put in place a range of specific programmes and measures including programmes to improve energy efficiency, maintaining the downward pressure on fuel bills, ensuring fair treatment for the less well-off, and supporting industry initiatives to combat fuel poverty.

Periodical progress reports and fuel poverty datasets are available at: http://www.berr.gov.uk/energy/fuel-poverty/index.html

One study119 investigates the effects of the implementation of public utility reforms in Italy between 1998 and 2005 and takes territorial heterogeneity into account to find evidence of no aggravation of affordability issues. With the help of a counterfactual exercise, positive welfare effects of the reforms even emerged, but affordability concerns persisted.

From the statistical national database an affordability index was built on a ‘reference basket’ considering the consumption of utility services by the poorest section of the population. The figures obtained were:

 

Water

Electricity

Heating

Total utilities

Threshold potential budget shares%

1.44

3.09

3.15

7.86

According to this definition the paper reports that in 2005, 5.2% of Italian households were in water poverty and 4.7% in electricity poverty, while 11.9% had affordability problems with heating. In fact, 3.4 million households were facing affordability problems with at least one utility (representing 14.7% of households in Italy).

119 Miniaci, Scarpa and Valbonesi (2007).

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ANNEX F

EVALUATION OF HEALTH &

ENVIRONMENTAL IMPACTS

Why do we value the environment?

The economic evaluation of the environment helps decision-makers to integrate into the decision-making process the value of environmental services provided by ecosystems. Direct and external environmental effects are expressed in monetary terms120 in order to integrate them into the calculation of homogenous aggregate CBA indicators of net benefits.

When faced with strong uncertainty and irreversibility in the future availability of the environmental resources or for ethical reasons, other evaluation methods can be applied, such as Environmental Impact Assessments, multi-criteria analyses or public referenda. These methods avoid the need to express all the environmental impacts and individuals’ preferences in a single numeraire, but are often less consistent and open to manipulation of the information.

Evaluating environmental impacts in investment projects

Most public infrastructure projects have negative or positive impacts on the local and global environment. Typical environmental impacts are associated with local air quality, climate change, water quality, soil and groundwater quality, biodiversity and landscape degradation, technological and natural risks. A decrease or increase in the quality or the quantity of environmental goods and services will produce some changes, gains or losses in social benefits associated with their consumption.

For example, a road infrastructure will be expected to reduce the availability of useful rural land, will change rural landscape, will increase pressures on biodiversity and negatively affect air quality due to increased traffic flows. Each of these impacts will reduce the provision of environmental services by the ecosystems and will lower economic benefits. In contrast, investments in waste treatment facilities will decrease environmental negative impacts on soil and water and will increase economic benefits related to the provision of high quality environmental services to economic agents (consumers and producers).

Not taking into account environmental impacts will result in an overor underestimation of the social benefits of the project and will lead to bad economic decisions.

120 A direct effect can be observed on markets (through the variation of price and quantity) or in the decision-making process, while external effects arise when the economic behaviour of an individual (or a firm) affects the behaviour of another (individual or firm), without any economic compensation or transaction from the former to the latter. In economics, pollution or resource depletions are often analysed with the help of the externality concept.

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TOTAL ECONOMIC VALUE

The monetary measure of a change in an individual’s well being due to a change in environmental quality is called the total economic value of the change. The total economic value of a resource can be divided into use values and non-use values:

Total economic value = use values + non-use values.

Use values include benefits from the physical use of environmental resources, such as a recreational activity (sport fishing) or productive activities (agriculture and forestry). In this context uncertainty stems from a combination of the individual’s uncertainty about future demand for the resource and uncertainty about its future availability. Non-use values refer to the benefits individuals may obtain from environmental resources without directly using them. For example, many people value tropical ecological systems without directly consuming or visiting them. The components of non-use values are existence value and bequest value. Existence value measures willingness-to-pay for a resource for some ‘moral’, altruistic or other reason and is unrelated to current or future uses. Bequest value is the value that the current generation obtains from preserving the environment for future generations.

Non-use values are less tangible than use values since they often do not refer to a physical consumption of goods and services.

Values are directly linked to the ecological services produced by the ecosystems, which support them. For example, fishery depends on the ecological productivity of the water ecosystem as wetlands. Water availability is linked to the entire hydro-geological cycle and groundwater quality depends on the filtering capacity of soils. A reduction in the provision of ecological services (by a pollution for example) is likely to depreciate the values expressed by people on environmental quality with, as a final result, a decrease in social benefits associated with it.

It is important to understand that economic value does not measure environmental quality per se; rather it reflects people’s preferences for that quality. Evaluation is ‘anthropocentric’ in that it relates to preferences held by people.

Total economic value (TEV)

 

Use

 

Non-Use

Actual

Options

Others

Existence

 

Altruism

 

Bequest

<<Tangibility>>

Food

 

Maintenance of ecological

 

Famous species and ecosystems

Wood and biomass

 

functions

 

Irreversible changes

Recreation

 

Production of biodiversity

 

Maintenance of life support function

Health

 

Maintenance of landscape

 

 

Education

 

 

 

 

Sport

 

 

 

 

 

 

 

 

 

How to measure environmental benefits

Since the environmental impacts may represent an important outcome of the projects it is necessary to include them in the economic appraisal framework.

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Figure F.1 Main evaluation methods

Source: Pearce, Atkinson, and Mourato (2006).

When environmental service markets are available, the easiest way to measure economic value is to use the actual related market price. For example, when marine pollution reduces fish catches, market values for the lost harvest are easily observed in the fish market. When there is no market, the price can be derived through non-market evaluation procedures. This is the case, for example, of air pollution since no market value can be associated with clean air.

When the goods to be evaluated are not traded in a real market, their value should be estimated using other approaches. The starting point of the evaluation, as for all costs and benefits, is looking at the individual preferences. A benefit is measured by the individual willingness-to-pay to secure it, and a cost is measured by the willingness to accept a compensation for the loss. In particular:

Negative Environmental Impacts

Positive Environmental Impacts

WTP to avoid a deterioration

WTP for an improvement

WTA compensation for a deterioration

WTA compensation to forgo an improvement

Three main methodologies can be applied for estimating the monetary value of changes in non-market goods:

-Revealed Preference Methods

-Stated Preference Methods

-Benefit Transfer Method.

Revealed Preference Methods

This approach implies that the valuation of non-market impacts is based on the observation of the actual behaviour and, especially, on the purchases made in actual markets. Consequently, the focus is on real choices and implied willingness-to-pay.

The strength of these approaches is that they are based on actual decisions made by individuals. The main weakness is the difficulty of testing the behavioural assumptions upon which the methods rely.

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The main specific methods are:

-hedonic pricing method

-travel cost method

-averting or defensive behaviour method

-cost of illness method

Hedonic pricing method

The focus of this method is in the observation of behaviour in markets for goods related to the ones the analyst is evaluating. The starting point is the fact that the prices of many market goods are functions of a bundle of characteristics. For example, the price of a washing machine usually depends on the variety of washing programmes, its energy efficiency and its reliability. Through statistical techniques the method tries to isolate the implicit price of each of these characteristics.

In non-market evaluation the method uses two types of markets:

-property market

-labour market

With regard to the property market it is possible to describe any house e.g. by the number of rooms, location, structure, age, etc. The Hedonic pricing method should identify the contribution of each significant determinant of house prices in order to estimate the marginal willingness-to-pay for each characteristic.

Hedonic studies of the property market have been used to identify the value of non-market goods such as traffic noise, aircraft noise, air pollution, water quality and proximity to landfill sites. A house near an airport, for example, will be purchased at a lower price than a house located in a quiet area. The difference in values can be viewed as the value attached to noise.

In the labour markets the observation of wage differentials between jobs with different exposure to physical risk has been used in order to estimate the value of avoiding risk of death or injury.

Specific problems with this approach could be:

-lack of information on households and a partly irrational behaviour;

-multicollinearity: due to the fact that market characteristics tend to move in tandem, it is often hard to ‘tease out’ the independent effect of the single characteristic.

EXAMPLE OF THE USE OF A HEDONIC PRICE FOR THE ECONOMIC EVALUATION OF NOISE

Due to the extension of an airport, the decibel B in the neighbouring area increases by 10 (so B is assumed to equal to 10). The social cost of the noise increase can be calculated with the following formula:

C= B x e x V x L

where L are the houses located in the area, V the average value and e is the value differential.

Travel Cost method

The travel cost approach seeks to put a value on the individuals’ willingness-to-pay for an environmental good or service, like for instance a nature park or an archaeological area, by the costs incurred to consume it.

The basis of the method is the observation that travel and nature parks, or archaeological areas, are complements such that the value of the nature park or archaeological area can be measured with reference to values expressed in the markets for trips to those areas. For zones located far from the nature park the number of visits is zero because the cost of the trip exceeds the benefit derived from the trip.

Therefore it is important to know:

-the number of trips to the nature park over a given time period;

-the costs of the trips to the nature park, from different zones split into the different components:

the monetary costs; in particular

-travel costs,

-admission price (if relevant),

-on-site expenditures

-expenditure on capital equipment necessary for consumption;

the time spent travelling and its value.

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Specific problems with this approach are related to ‘multiple purpose trips’; because many trips have more than one destination, it is difficult to identify which part of the total travel cost is related to one specific destination.

Since only the benefits of the direct consumption of the environmental services are considered in this approach, non-use values (option value and existence value) cannot be considered.

Averting or defensive behaviour method

The main assumption of the averting evaluation method is that individuals can insulate themselves from a nonmarket bad by adopting more costly behaviours to avoid it. The cost these behaviours require can be represented by extra-time or by the restrictions they impose on what individuals would otherwise wish to do.

Another way to avoid exposure to specific non-market goods is the purchase of a market-good to ‘defend’ the consumer from the ‘bad’ (defensive expenditures). The value of each of these purchases can be considered the implicit price for the non-market good that individuals want to avoid.

An example could be the installation of double-glazed windows to decrease exposure to road traffic noise. Doubleglazing is a market good that can be seen as a substitute for a non-market good (absence of road traffic noise) and so the cost of purchasing it can be considered as the price of the non-market good.

Specific problems with these approaches could be:

-defensive expenditures often represent a partial estimate of the value of the non-market good individuals want to avoid;

-many averting behaviours or defensive expenditures are related to joint products (e.g. heating and insulation from noise);

-individuals or firms may undertake more than one form of averting behaviour in response to any environmental change.

Cost of illness method

Like the defensive expenditures method, this one focuses on expenditures on medical services and products made in response to the health effects of non-market impacts.

The difference between the two methods is that usually the decision concerning health care expenditure is not made by individuals alone, but involves social administrators, politicians and taxpayers. This circumstance introduces a complex evaluation issue because the decisions of public administrators and politicians reflect not only the assessment of the negative impacts of the non-market good, but also other types of considerations (politics and ethics).

An additional problem with this approach is that changes in expenditure on treatments of health impacts are usually not easily directly observed, due to the stochastic link between health and non-market goods (for example air pollution).

Stated Preference Methods

Stated preference approaches are survey-based and elicit people’s intended future behaviour in the markets. Through an appropriately designed questionnaire, a hypothetical market is described where the good in question can be traded. A random sample of people is then asked to express their maximum willingness-to-pay for (or willingness to accept) a supposed change in the good’s provision level. Consequently, the focus is on real choices and implied willingness-to-pay.

The main strength of the methods based on this approach is represented by the flexibility they can assure. Indeed, they allow the evaluation of almost all non-market goods, both from an ex-ante and from an ex-post point of view. Moreover, this methodology is able to capture all types of benefits from a non-market good or service, including the so-called non-use values.

The main specific methods are:

-contingent valuation method

-choice modelling method.

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Contingent Valuation Method

The aim of the method is to elicit individual preferences, in monetary terms, for changes in the quantity or quality of a non-market good or service.

The key element in any contingent evaluation study is a properly designed questionnaire. The questionnaire aims to determine individuals’ estimates of how much having or avoiding the change in question is worth to them.

In order to conduct a contingent valuation it is worthwhile:

-investigating the attitudes and behaviour related to the goods to be valued in preparation for answering the valuation question and in order to reveal the most important underlying factors driving respondents’ attitude towards the public good;

-presenting respondents with a contingent scenario providing for a description of the commodity and the terms under which it is to be hypothetically offered. The final questions should aim to determine how much they would value the good if confronted with the opportunity to obtain it under the specified terms and conditions;

-asking questions about the socio-economic and demographic characteristics of the respondents in order to check the extent to which the survey sample is representative of the population involved.

At the end of the survey process, analysts use appropriate econometric techniques to derive welfare measures such as mean or median willingness-to-pay and also to identify the most important determinants of willingness-to-pay. With regard to the statistical indicators to be used, the median could be the best predictor of what the majority of people would actually be willing to pay because, unlike the mean, it does not give much weight to outliers

Choice Modelling Method

Choice Modelling is a survey-based method for modelling preferences for goods, when goods are described in terms of their attributes and of the level of these attributes. Respondents have various alternative descriptions of a good, differentiated by their attributes and levels, and are requested to rank the alternatives, to rate them or to choose their preferred option. By including price/cost as one of the attributes of the good, willingness-to-pay can be directly recovered from people’s rankings, ratings or choices. Also, in this case, the method allows the measurement of nonuse values.

The main variants proposed in specialist literature are described in the following table:

Main variants of CM method

 

Tasks

 

Choice experiments

Choose between two or more alternatives (where one is the status quo)

Contingent ranking

 

Rank a series of alternatives

Contingent rating

 

Score alternative scenarios on a scale of 1-10

Paired comparison

 

Score pairs of scenarios on a similar scale

The main strengths of the method are:

-the capacity to deal with situations where changes are multi-dimensional, thanks to its ability to separately identify the value of the specific attributes of a good;

-the possibility for respondents to use multiple choices (for example variants in Choice experiments), to express their preference for a valued good over a range of payment amounts;

-by relying on ratings, rankings and choices and deriving indirectly the willingness-to-pay of respondents, the method overcomes some problems associated with the Contingent Valuation Method.

The main problems are:

-the difficulties respondents experience in dealing with multiple complex choices or rankings;

-the inefficiency in deriving values for a sequence of elements implemented by a policy or project. For these types of evaluations Contingent Methods should be preferred;

-the willingness-to-pay estimate is sensitive to study design. For example, the choice of attributes and levels to present to the respondents and the way in which choices are relayed to respondents (use of photographs, text description etc.) may impact on the values of estimates;

-one indirect method of evaluating non-market goods is related to dose-response functions.

Dose-response functions

The dose-response technique aims to establish a relationship between environmental impacts (the response) and physical environmental impacts such as pollution (the dose). The technique is used when the dose-response relationship between the cause of environmental damage, such as air or water pollution, and the impacts, morbidity

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due to air pollution or water contamination by chemical products for example, is well known. The technique takes natural science information on the physical effects of pollution and uses this in an economic model of evaluation. The economic evaluation will be performed by estimation, through a production or a utility function of the profit variations of firms or the revenue gains or losses of individuals.

The two steps of the method are:

-the calculation of the pollutant dose and receptor function, and;

-the economic evaluation by the choice of an economic model.

To assess the monetary gain or loss of benefits due to the variation in environmental quality requires the analysis of biological and physical processes, their interactions with economic agents’ decisions (consumer or producer) and the final effect on welfare.

The major fields of application of the methodology are the evaluation of losses (in crops, for example) due to pollution, the pollution effects on ecosystems, vegetation and soil erosion, and the impacts of urban air pollution on health, materials and buildings. The approach cannot estimate the non-use value.

Benefit Transfer

Recent developments in policy behaviour have stressed the relevance of the so-called Benefit-Transfer Approach in the appraisal of non-market goods, specifically environmental goods and services (Pearce, Atkinson and Mourato, 2006). This method consists of taking a unit value for a non-market good estimated in an original study and using this estimate, after some adjustments, to value benefits (or costs) that arise when a policy or project is implemented elsewhere.

The Benefit Transfer method can be defined as the use of a good estimate in one site, the ‘study site’ as a proxy for values of the same good in another site, the ‘policy site’. For example, the provision of a non-market good at a policy site could refer to a lake at a particular geographical location. If sufficient data are not available for that country, analysts can use values for similar conditions in data-rich countries.

The interest shown in this approach is due to the opportunity to reduce the need for costly and time–consuming original studies of non-market goods values. Moreover Benefit Transfer could be used to assess whether or not a more in-depth analysis is worthwhile.

Clearly, the main obstacle in using this approach is that Benefit Transfer can give rise to seriously biased estimates.

Obviously judgement and insight are required for all the basic steps entailed in undertaking a BT exercise. For example, information needs to be obtained on baseline environmental quality, changes and relevant socio-economic data.

Benefit transfer is usually performed in three steps:

-the compilation of the existing literature on the subject under investigation (recreational activity, human health, air and water pollution…);

-the assessment of the selected studies for their comparability (similarity of the environmental services valued, difference in revenue, education, age and other socio-economic characteristics which can affect the evaluation);

-the calculation of values and their transfer in the new context of evaluation.

The most crucial stage is where existing estimates or models are selected and estimated effects are obtained for the policy site. In addition, the population at the relevant policy site has to be determined.

Adjustments are usually advisable in order to reflect differences at the original study sites and the new policy sites.

The analyst may choose from three main types of adjustment of increasing sophistication:

-unadjusted Willingness-to-pay Transfer => this procedure implies a simple ‘borrowing’ of the estimates made in the study site and the use of those estimates in the policy site, with an obvious advantage in terms of simplicity;

-Willingness-to-pay Transfer with Adjustment (value transfer) => it could be useful to modify the values from the study site data to reflect the difference in a particular variable that characterizes the sites. For example, the values can be adjusted through multiplication using the ratio between the income level of the study case and the income level of the policy case.

-Willingness-to-pay Function Transfer => a more sophisticated approach is to transfer the benefit or value function from the study site to the policy site. Thus, if it is known that Willingness-to-pay for a good at the study site is a function of, first, a range of physical features on the site, second, of its use, and third, of a set of socioeconomic characteristics of the population at the site, then this information itself can be used as part of the transfer process.

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