Part II. Environmental Valuation

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Part II. Environmental Valuation

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Title: Part II. Environmental Valuation


1
Part II. Environmental Valuation
  1. Value
  2. Environmental Decision Making

2
B. Environmental Decision Making
  • Chapter 5

3
Intro
  • Once you value the environmental good/service,
    can be used to test the economic efficiency of
    a potential decision or outcome.
  • One aspect of this process is the measurement of
    both the value of environmental resources and the
    value of changes in the level of environmental
    quality.
  • This is essential information when comparing the
    benefits of environmental policy against the
    costs of obtaining those benefits.

4
Decision-Making Criteria
  • Economic efficiency
  • Equity
  • Sustainability
  • Environmental Justice
  • Ecological impact/environmental stewardship
  • Ethics

5
Economic Efficiency
  • Economic efficiency has to do with maximizing the
    difference between the social benefit and social
    cost of an economic activity, policy, or project.
  • Economic efficiency is usually measured in one of
    two different ways
  • Net economic benefit preferred by economists
    and explored in Chp. 4
  • Gross domestic product preferred by
    international development and lending agencies.

6
Economic Efficiency Net Economic Benefit
  • As the information presented in Chapter 4
    indicated, the demand curve represents marginal
    WTP and the supply curve represents marginal
    opportunity cost of production.
  • Net economic efficiency subtracts total
    opportunity cost from total WTP and is
    represented by the area under the demand curve
    and above the supply curve for a particular good
    or service.

7
Economic Efficiency Gross Domestic Product?
  • Gross Domestic Product is a measure of the total
    value of all goods and services produced in an
    economy.
  • Because expenditures become income, GDP is also a
    measure of national income.
  • GDP is not a measure of social welfare because it
    does not measure other dimensions of the quality
    of life, such as health, environmental quality,
    social justice, freedom from crime, etc.

8
Economic Efficiency GDP?
  • GDP also fails as a measure of economic
    efficiency.
  • It does not consider the opportunity costs of
    producing the good or service.
  • This failure means that GDP would rise because of
    a rise in HIV/AIDS due to the increased
    expenditure on health care costs.
  • Net economic efficiency would not rise damages
    from disease, opportunity cost of using those
    monies in next best option.

9
Economic Efficiency Pareto Criterion
  • What constitutes an improvement in economic
    efficiency?
  • One option is the Hicks-Kaldor criterion, or the
    criterion of potential Pareto improvement.
  • Pareto improvement resources are reallocated in
    such a fashion that some people are better off
    and no one is worse off.
  • Potential Pareto improvement is reallocation
    whereby the gain of people who are helped is
    larger than the losses of those made worse off.
    If the gainers could compensate losers, the
    gainers would still be better off.

10
Equity
  • Potential Pareto improvement does not consider
    equity issues.
  • The equity criterion for evaluating policy
    considers how costs and benefits are distributed
    among members of society.
  • These distributional impacts could be within a
    country, across international borders, or across
    generations.

11
Equity Across Generations Sustainability
  • Intergenerational equity is important because
    many of the decisions regarding resource use
    today may generate important environmental costs
    for future generations.
  • The process of discounting future costs and
    benefits can exacerbate this problem.
  • An alternate criterion of sustainability is based
    on improving the condition of the current
    generation without compromising the ability of
    future generations to meet their needs and
    improve their quality of life.

12
Equity Indicators
  • Income is one component of equity.
  • Two different measures are the primary tools for
    considering the inequality of the distribution of
    income, the Lorenz curve and the Gini
    coefficient.
  • The curve illustrates the of income received by
    a given of the population.
  • Equity is illustrated by the diagonal line
    bisecting the origin. Along this line the two
    are equal.
  • Inequity in income distribution is illustrated by
    a curved line.

13
Equity Measures - Lorenz Curve
14
Equity Measures Gini Coefficient
  • The farther the Lorenz curve is skewed away from
    the diagonal line, the more inequitable the
    income distribution.
  • This curve can be transformed into a single
    variable, the Gini coefficient.
  • Calculated by taking the area between the
    diagonal line and the Lorenz curve and dividing
    by the entire area under the diagonal line
    100A/(AB) This value is then multiplied by 100.
  • Can range from 0 to 100, where greater numbers
    are associated with greater inequity.

15
Gini Coefficient
16
Environmental Justice
  • Studies have suggested that certain segments of
    the population face disproportionate exposure to
    environmental risk.
  • In the US, minorities, especially those of low
    income living in rural areas, face greater
    exposure to carcinogenic and mutagenic hazardous
    chemicals.
  • In developing countries, with giant cities,
    levels of air pollution as well as exposure to
    toxic waste surpass that of developed countries.
  • Environmental justice is an issue in rural areas
    where high levels of pesticide use by large
    plantation owners impacts villages downwind.

17
Ecological Criteria
  • There is no consensus on how to develop measures
    for quality and functionability of an ecological
    system.
  • The first question is how to define a desirable
    state of an ecosystem.
  • Ecosystem health measures a systems ability to
    provide a flow of ecological services.
  • Ecosystem integrity measures the closeness of
    the system to a hypothetical reference system
    that is completely undisturbed by human activity.

18
Operational Indicators of Environmental Quality
  • At least 4 methods have been suggested to develop
    operational indicators
  • The use of representative environmental
    variables.
  • The use of a green GDP.
  • The development of satellite accounts for
    National Income and Product Accounts.
  • The development of indices of sets of
    environmental variables.

19
Representative environmental variables
  • Sulfur dioxides Environmental Kuznets Curve
    (EKC) U-shaped relationship between
    environmental quality and income indicator of
    air quality
  • Spotted owl indicator species for Pacific
    old-growth forests
  • Abundance/biodiversity of mussels biodiversity
    indicator for rivers in Tenn. River Valley

20
Green GDP
  • Many economists have argued that disastrous
    consequences for the environment result when
    macroeconomic policy is based on growth of GDP.
  • While net domestic product (NDP) subtracts the
    depreciation of human-made capital from GDP, it
    does not consider the depreciation of natural
    capital (forest clear cut, soil degraded, stocks
    of minerals depleted, etc.)
  • If increasing NDP is the primary policy goal,
    then the loss of future income from depleted
    natural capital is important.

21
Satellite accounts
  • Physical measures of environmental variables
    maintained side by side with GDP accounting (not
    integrated like GGDP)
  • Presented in flow and balance sheets just as GDP
    accounting
  • Idea is that rough monetary estimates can be made
    from these accounts

22
Indices
  • US Environmental Protection Agencys EMAP
    (Environmental Monitoring and Assessment Program)
    develops overall indicators for individual
    ecosystems (forests, wetlands, estuaries)
  • E.g., Estuaries 20 indicators water clarity,
    presence of trash, etc. Then aggregate index
    created by summing individual indicators

23
Ethics
  • Particularly important and particularly difficult
    to quantify.
  • Does the firm or agency have an ethical
    obligation for environmental stewardship
    independent of the impact on social welfare?
  • Should decision-making have an anthropocentric or
    biocentric approach?
  • Deep ecology, developed by Arne Ness, rejects
    management of the environment. All components of
    an ecosystem, as well as the ecosystems
    themselves, have an intrinsic value and an
    inherent right to exist.
  • Ethics can be treated as constraints to the
    decision-making process.

24
What do you think?
  • Should decisions be based solely on
    anthropocentric ideals?
  • Do ecosystems have inherent rights?
  • Is it okay to put a price on environmental
    goods/services?
  • If not, how to reconcile for policy making?

25
The Use of Multiple Criteria in Decision Making
  • How do policy makers take multiple
    decision-making criteria and jointly employ the
    criteria so as to inform the actual decision?
  • If too much aggregation is done across criteria,
    then a lot of the information that is contained
    in the different criteria will be lost.
  • Cost-benefit analysis is one approach which has
    been frequently employed and is even legally
    required of governmental agencies in many
    countries.

26
Cost-Benefit Analysis
  • The most important concept is that cost-benefit
    analysis is NOT a decision-making tool it is
    only an information organizing tool
  • There is no single correct answer to a
    cost-benefit analysis exercise
  • Different assumptions about future states of the
    world or key analytical parameters will have a
    big impact on the final outcome
  • The analysis should produce a suite of numbers
    reflecting the sensitivity of the analysis to
    alternative analytical assumptions

27
Cost-Benefit Analysis
  • Cost-benefit analysis should be a dynamic
    analysis, investigating costs and benefits far
    into the future, where future costs and benefits
    are discounted.
  • The simplest version of a discounting formula is
    PV FV(1/(1r))t,
  • where PV is present value, FV is future value, r
    represents the discount rate and t is the time
    period.

28
Cost-Benefit Analysis
  • The objective of cost-benefit analysis is to
    identify the alternative project, plan, or policy
    that has the greatest net present benefit, which
    will therefore maximize economic efficiency.

29
Choice of the discount rate
  • A critical aspect of the analysis is the choice
    of the appropriate discount rate
  • The market rate of interest is not appropriate
    because it includes inflation rates and risk
    components
  • Inflation should be removed from interest rate
    because CB calculations should be conducted in
    real (inflation-adjusted) terms (using CPI)

30
Choice of the discount rate
  • The risk component reflects a compensation for
    the variations in risk of default across
    different types of borrowers
  • Because risks of public investment are shared by
    all citizens, and because society has a diverse
    portfolio of projects, many analysts argue that
    the rate used should be the real, risk-free rate
    of interest (btw. 3-4 historically)

31
Choice of the discount rate
  • The choice of discount rate is critically
    important because it represents the relative
    importance of the future.
  • Even small differences in discount rate can
    become very important.
  • This is illustrated in Table 5.3, where the
    present value of a future stream of income
    decreases by 90 percent with a 1 percent change
    in the discount rate.
  • This difference in value is much less at greater
    distances in the future where the value in the
    distant future is unimportant.

32
Choice of the discount rate
33
Cost-Benefit Analysis
  • The first step in implementing any cost-benefit
    analysis is to determine what should be
    evaluated.
  • The analyst must identify the credible
    alternatives to the proposed project and include
    them in the cost-benefit analysis.
  • In defining alternatives, the analyst must
    consider political feasibility, technical
    feasibility, and economic feasibility.

34
Cost-Benefit Analysis
  • The next step is to list the costs and benefits
    to make sure that all relevant issues are
    considered.
  • Care must be taken to factor in environmental
    costs, both on-site and off-site.
  • In some cases religious, cultural, and historical
    significance must be taken into account.
  • Indirect costs must also be considered.

35
Cost-Benefit Analysis
  • In general, benefits are easier to measure than
    costs.
  • It is important to recognize alternative
    solutions in the measurement of the benefit of
    one project.
  • It is also important to recognize both private
    and social benefits associated with a project.
  • It is important to recognize the difference
    between the creation of new benefits and the
    transfer of benefits from one area to another.

36
Cost-Benefit Analysis Multiple Scenarios
  • It is important to build different scenarios when
    conducting a cost-benefit analysis.
  • These different scenarios need to consider
    differing assumptions or predictions about the
    future states of the world.
  • Among these are
  • Rates of population growth
  • Rates of growth in GDP
  • Level of global climate change
  • Rate of technological innovation
  • Change in environmental policy.

37
Cost-Benefit Analysis Decision Rules
  • Each scenario should also be evaluated using
    different discount values.
  • Various decision rules can be made to allow
    qualitative comparison and determination of which
    projects are best.
  • Examples of decision rules include
  • Choose the project that is in the top ranking in
    the most states of the world.
  • Choose the project that is in the top two
    categories in the most states of the world.

38
Cost-Benefit Analysis Missing Values
  • One of the major problems with cost-benefit
    analysis is how to deal with missing values.
  • It is not appropriate to use a value of zero.
  • If the missing value is associated with
    environmental costs, then it is possible to
    conduct an analysis without the costs and then
    consider how the answer might change with those
    costs factored in.
  • Alternative approaches to comparing projects with
    missing information include
  • The dominance method choose the option that is
    best across multiple scenarios
  • Estimate how big the missing value would have to
    be to change the outcome.
  • Provide general impressions of the unmeasured
    environmental benefits.

39
Marginal Analysis
  • Cost-benefit analysis is a good tool for choosing
    between a set of discrete alternatives.
  • Marginal analysis is useful when a choice must be
    made about which level to choose from a
    potentially infinite spectrum.
  • How many hectares of wetlands to preserve, how
    much deforestation to allow, how large a fish
    harvest should be, etc.

40
Marginal Damage Functions
  • As discussed in Chapter 3, marginal damage
    functions and marginal abatement functions can be
    used to identify the optimal level of pollution.
  • A marginal damage function specifies a
    relationship between an incremental unit of
    emissions and the damages the emissions generate.
  • As Figure 5.5. illustrates, this relationship is
    actually a complex series of cause-and-effect
    relationships.

41
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42
Marginal Damage Functions
  • The first set examines how pollution emissions
    generate concentrations of pollution in the
    environment.
  • The next set considers how exposure occurs.
  • The next considers the impact of exposure.
  • The next considers the damages which result and
    finally, the resulting change in social welfare.

43
MDF Policy Analysis
  • It quite unlikely that it will be possible to
    completely identify the set of marginal abatement
    cost functions and marginal damage functions for
    a particular problem.
  • Even so, knowledge of the properties of a
    particular damage function can help identify
    policy goals.

44
MDF Policy Analysis
Damages
Emissions
e1
e2
e3
45
Marginal Damage Function and Policy Analysis
  • Identify key points along function
  • Between 0 and e1 damages not great
  • As increase between e1 and e2, assimilative
    capacity of environment becomes overtaxed,
    damages begin to increase
  • e3 on, damages may cause systemwide collapse

46
Marginal Damage Function and Policy Analysis
  • Use information from figure 5.5 to make estimates
    about these turning points
  • For example, makes little sense to have target
    level of pollution less than e1 unless abatement
    very low
  • Similarly, want to avoid very steep portion
    (after e3)
  • Broad range from e1 to e3 can then use other
    criteria to narrow this range

47
Summary
  • Various research and analytical tools can help
    narrow the decision set and further guide the
    decision process.
  • Cost-benefit analysis has proven to be a useful
    tool in organizing information about economic
    efficiency.
  • The most important need in terms of making better
    decisions is the need to develop better
    indicators related to the nonefficiency related
    decision-making criteria.

48
Expected Value Analysis(Appendix 5b)
  • A way to compare alternatives where each
    alternative has several possible outcomes, each
    of which occurs with a different probability
  • Example deciding which of 3 games going to play.
    Fee for playing each 1.00. First game flip coin
    heads 2, tails 0.
  • EV 1.00 0.5(2.00) 0.5(0) 0

49
Expected Value Analysis
  • 2nd game 3 cards. Pick Jack, get 1. Pick Queen,
    get 2. King, get 3.
  • EV 1.00 0.33(1) 0.33(2) 0.33(3)
    0.98
  • 3rd game 4 marbles. Pick red 2, blue 1,
    green 0.50, yellow 0.
  • EV 1.00 0.25(2.00) 0.25(1.00)
    0.25(0.50) 0.25(0) 0.13

50
Expected Value Analysis
  • In general, if is probability of outcome i,
    and is net benefits of outcome i, then
    the EV of an alternative with m potential
    outcomes is

51
Expected Value Analysis
  • Can be very useful in CBA, because many outcomes
    uncertain
  • But, does not consider risk (risk neutral)
  • If replace 1 in first game with 10,000 same
    EV equivalent?
  • Most say no (risk averse)

52
Expected Value Analysis
  • Many cases decision maker should be risk neutral
  • Risks spread over many people, so total loss high
    but individual loss not
  • Risks spread over many projects, so even if some
    fail, enough successful to compensate for those
    that fail
  • However if consequences irreversible (protection
    of rain forests, storage of nuclear waste, etc.)
    risk averse attitude may be better
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