The economics of global warming concerns the economic aspects of global warming; this can inform policies
that governments might consider in response. A number of factors make
this a difficult problem from both economic and political perspectives:
it is a long-term, intergenerational problem; benefits and costs are distributed unequally both within and across countries; and scientific and public opinions may diverge.
One of the most important greenhouse gases is carbon dioxide (CO2). Around 20% of carbon dioxide which is emitted due to human activities can remain in the atmosphere for many thousands of years. The long time scales and uncertainty associated with global warming have led analysts to develop "scenarios" of future environmental, social and economic changes. These scenarios can help governments understand the potential consequences of their decisions.
The impacts of climate change include the loss of biodiversity, sea level rise, increased frequency and severity of some extreme weather events, and acidification of the oceans. Economists have attempted to quantify these impacts in monetary terms, but these assessments can be controversial.
The two main policy responses to global warming are to reduce greenhouse gas emissions (climate change mitigation) and to adapt to the impacts of global warming (e.g., by building levees in response to sea level rise). Another policy response which has recently received greater attention is geoengineering of the climate system (e.g. injecting aerosols into the atmosphere to reflect sunlight away from the Earth's surface).
One of the responses to the uncertainties of global warming is to adopt a strategy of sequential decision making. This strategy recognizes that decisions on global warming need to be made with incomplete information, and that decisions in the near term will have potentially long-term impacts. Governments might choose to use risk management as part of their policy response to global warming. For instance, a risk-based approach can be applied to climate impacts which are difficult to quantify in economic terms, e.g., the impacts of global warming on indigenous peoples.
Analysts have assessed global warming in relation to sustainable development. Sustainable development considers how future generations might be affected by the actions of the current generation. In some areas, policies designed to address global warming may contribute positively towards other development objectives. In other areas, the cost of global warming policies may divert resources away from other socially and environmentally beneficial investments (the opportunity costs of climate change policy).
One of the most important greenhouse gases is carbon dioxide (CO2). Around 20% of carbon dioxide which is emitted due to human activities can remain in the atmosphere for many thousands of years. The long time scales and uncertainty associated with global warming have led analysts to develop "scenarios" of future environmental, social and economic changes. These scenarios can help governments understand the potential consequences of their decisions.
The impacts of climate change include the loss of biodiversity, sea level rise, increased frequency and severity of some extreme weather events, and acidification of the oceans. Economists have attempted to quantify these impacts in monetary terms, but these assessments can be controversial.
The two main policy responses to global warming are to reduce greenhouse gas emissions (climate change mitigation) and to adapt to the impacts of global warming (e.g., by building levees in response to sea level rise). Another policy response which has recently received greater attention is geoengineering of the climate system (e.g. injecting aerosols into the atmosphere to reflect sunlight away from the Earth's surface).
One of the responses to the uncertainties of global warming is to adopt a strategy of sequential decision making. This strategy recognizes that decisions on global warming need to be made with incomplete information, and that decisions in the near term will have potentially long-term impacts. Governments might choose to use risk management as part of their policy response to global warming. For instance, a risk-based approach can be applied to climate impacts which are difficult to quantify in economic terms, e.g., the impacts of global warming on indigenous peoples.
Analysts have assessed global warming in relation to sustainable development. Sustainable development considers how future generations might be affected by the actions of the current generation. In some areas, policies designed to address global warming may contribute positively towards other development objectives. In other areas, the cost of global warming policies may divert resources away from other socially and environmentally beneficial investments (the opportunity costs of climate change policy).
Scenarios
One of the economic aspects of climate change is producing scenarios of future economic development. Future economic developments can, for example, affect how vulnerable society is to future climate change, what the future impacts of climate change might be, as well as the level of future GHG emissions.
Emissions scenarios
In
scenarios designed to project future GHG emissions, economic
projections, e.g., changes in future income levels, will often
necessarily be combined with other projections that affect emissions,
e.g., future population levels. Since these future changes are highly uncertain, one approach is that of scenario analysis.
In scenario analysis, scenarios are developed that are based on
differing assumptions of future development patterns. An example of this
are the "SRES" emissions scenarios produced by the Intergovernmental Panel on Climate Change (IPCC). The SRES scenarios project a wide range of possible future emissions levels.
The SRES scenarios are "baseline" or "non-intervention" scenarios, in
that they assume no specific policy measures to control future GHG
emissions.
The different SRES scenarios contain widely differing assumptions of
future social and economic changes. For example, the SRES "A2" emissions
scenario projects a future population level of 15 billion people in the
year 2100, but the SRES "B1" scenario projects a lower population level
of 7 billion people. The SRES scenarios were not assigned probabilities by the IPCC, but some authors have argued that particular SRES scenarios are more likely to occur than others.
Some analysts have developed scenarios that project a
continuation of current policies into the future. These scenarios are
sometimes called "business-as-usual" scenarios.
Experts who work on scenarios tend to prefer the term "projections" to "forecasts" or "predictions". This distinction is made to emphasize the point that probabilities are not assigned to the scenarios, and that future emissions depend on decisions made both now and into the future.
Another approach is that of uncertainty analysis, where analysts attempt to estimate the probability of future changes in emission levels.
Global futures scenarios
"Global futures" scenarios can be thought of as stories of possible futures.
They allow for the description of factors which are difficult to
quantify but are important in affecting future GHG emissions. The IPCC
Third Assessment Report (Morita et al., 2001)
includes an assessment of 124 global futures scenarios. These
scenarios project a wide range of possible futures. Some are
pessimistic, for example, 5 scenarios project the future breakdown of
human society.
Others are optimistic, for example, in 5 other scenarios, future
advances in technology solve most or all of humanity's problems. Most
scenarios project increasing damage to the natural environment, but many
scenarios also project this trend to reverse in the long-term.
In the scenarios, Morita et al. (2001)
found no strong patterns in the relationship between economic activity
and GHG emissions. By itself, this relationship is not proof of causation, and is only reflective of the scenarios that were assessed.
In the assessed scenarios, economic growth is compatible with increasing or decreasing GHG emissions. In the latter case, emissions growth is mediated by increased energy efficiency, shifts to non-fossil energy sources, and/or shifts to a post-industrial (service-based)
economy. Most scenarios projecting rising GHGs also project low levels
of government intervention in the economy. Scenarios projecting falling
GHGs generally have high levels of government intervention in the
economy.
Factors affecting emissions growth
Historically, growth in GHG emissions have been driven by economic development. One way of understanding trends in GHG emissions is to use the Kaya identity.
The Kaya identity breaks down emissions growth into the effects of
changes in human population, economic affluence, and technology:
- CO
2 emissions from energy ≡ Population × (gross domestic product (GDP) / head of population) × (energy use / GDP) × (CO2 emissions / energy use)
GDP per person (or "per capita")
is used as a measure of economic affluence, and changes in technology
are described by the other two terms: (energy use / GDP) and
(energy-related CO
2 emissions / energy use). These two terms are often referred to as "energy intensity of GDP" and "carbon intensity of energy", respectively. Note that the abbreviated term "carbon intensity" may also refer to the carbon intensity of GDP, i.e., (energy-related CO
2 emissions / GDP).
2 emissions / energy use). These two terms are often referred to as "energy intensity of GDP" and "carbon intensity of energy", respectively. Note that the abbreviated term "carbon intensity" may also refer to the carbon intensity of GDP, i.e., (energy-related CO
2 emissions / GDP).
Reductions in the energy intensity of GDP and/or carbon intensity of energy will tend to reduce energy-related CO
2 emissions. Increases in population and/or GDP per capita will tend to increase energy-related CO
2 emissions. If, however, energy intensity of GDP or carbon intensity of energy were reduced to zero (i.e., complete decarbonization of the energy system), increases in population or GDP per capita would not lead to an increase in energy-related CO
2 emissions.
2 emissions. Increases in population and/or GDP per capita will tend to increase energy-related CO
2 emissions. If, however, energy intensity of GDP or carbon intensity of energy were reduced to zero (i.e., complete decarbonization of the energy system), increases in population or GDP per capita would not lead to an increase in energy-related CO
2 emissions.
The graph on the right shows changes in global energy-related CO
2 emissions between 1971 and 2009. Also plotted are changes in world population, world GDP per capita, energy intensity of world GDP, and carbon intensity of world energy use. Over this time period, reductions in energy intensity of GDP and carbon intensity of energy use have been unable to offset increases in population and GDP per capita. Consequently, energy-related CO
2 emissions have increased. Between 1971 and 2009, energy-related CO
2 emissions grew on average by about 2.8% per year. Population grew on average by about 2.1% per year and GDP per capita by 2.6% per year. Energy intensity of GDP on average fell by about 1.1% per year, and carbon intensity of energy fell by about 0.2% per year.
2 emissions between 1971 and 2009. Also plotted are changes in world population, world GDP per capita, energy intensity of world GDP, and carbon intensity of world energy use. Over this time period, reductions in energy intensity of GDP and carbon intensity of energy use have been unable to offset increases in population and GDP per capita. Consequently, energy-related CO
2 emissions have increased. Between 1971 and 2009, energy-related CO
2 emissions grew on average by about 2.8% per year. Population grew on average by about 2.1% per year and GDP per capita by 2.6% per year. Energy intensity of GDP on average fell by about 1.1% per year, and carbon intensity of energy fell by about 0.2% per year.
Trends and projections
Emissions
Equity and GHG emissions
In considering GHG emissions, there are a number of areas where
equity is important. In common language equity means "the quality of
being impartial" or "something that is fair and just." One example of the relevance of equity to GHG emissions are the different ways in which emissions can be measured. These include the total annual emissions of one country, cumulative emissions measured over long time periods (sometimes measured over more than 100 years), average emissions per person in a country (per capita emissions), as well as measurements of energy intensity of GDP, carbon intensity of GDP, or carbon intensity of energy use (discussed earlier).
Different indicators of emissions provide different insights relevant
to climate change policy, and have been an important issue in
international climate change negotiations.
Developed countries' past contributions to climate change were in
the process of economically developing to their current level of
prosperity; developing countries are attempting to rise to this level,
this being one cause of their increasing greenhouse gas emissions. Equity is an issue in GHG emissions scenarios, Sonali P. Chitre argues, and Emerging markets countries, such as India and China, often would rather analyze Per capita emissions instead of committing to aggregate Emissions reduction because of historical contributions by the Industrialized nations to the climate change crisis, under the principle of Common But Differentiated Responsibilities. For example, the scenarios used in the Intergovernmental Panel on Climate Change's (IPCC) First Assessment Report of 1990 were criticized by Parikh (1992). Parikh (1992)
argued that the stabilization scenarios contained in the Report
"stabilize the lifestyles of the rich and adversely affect the
development of the poor". The IPCC's later "SRES" scenarios, published in 2000, explicitly explore scenarios with a narrowing income gap (convergence) between the developed and developing countries. Projections of convergence in the SRES scenarios have been criticized for lacking objectivity (Defra/HM Treasury, 2005).
Emissions projections
Changes in future greenhouse gas emission levels are highly
uncertain, and a wide range of quantitative emission projections have
been produced. Rogner et al. (2007) assessed these projections. Some of these projections aggregate anthropogenic emissions into a single figure as a "carbon dioxide equivalent" (CO2-eq). By 2030, baseline scenarios projected an increase in greenhouse emissions (the F-gases, nitrous oxide, methane, and CO2, measured in CO2-eq) of between 25% and 90%, relative to the 2000 level. For CO2
only, two-thirds to three-quarters of the increase in emissions was
projected to come from developing countries, although the average per capita CO2 emissions in developing country regions were projected to remain substantially lower than those in developed country regions.
By 2100, CO2-eq projections ranged from a 40% reduction to an increase in emissions of 250% above their levels in 2000.
Concentrations and temperatures
As
mentioned earlier, impacts of climate change are determined more by the
concentration of GHGs in the atmosphere than annual GHG emissions. Changes in the atmospheric concentrations of the individual GHGs are given in greenhouse gas.
Rogner et al. (2007) reported that the then-current estimated total atmospheric concentration of long-lived GHGs was around 455 parts-per-million (ppm) CO2-eq (range: 433-477 ppm CO2-eq). The effects of aerosol and land-use changes (e.g., deforestation) reduced the physical effect (the radiative forcing) of this to 311 to 435 ppm CO2-eq, with a central estimate of about 375 ppm CO2-eq. The 2011 estimate of CO2-eq concentrations (the long-lived GHGs, made up of CO2, methane (CH
4), nitrous oxide (N
2O), chlorofluorocarbon-12 (CFC-12), CFC-11, and fifteen other halogenated gases) is 473 ppm CO2-eq (NOAA, 2012). The NOAA (2012) estimate excludes the overall cooling effect of aerosols (e.g., sulfate).
4), nitrous oxide (N
2O), chlorofluorocarbon-12 (CFC-12), CFC-11, and fifteen other halogenated gases) is 473 ppm CO2-eq (NOAA, 2012). The NOAA (2012) estimate excludes the overall cooling effect of aerosols (e.g., sulfate).
Six of the SRES emissions scenarios have been used to project possible future changes in atmospheric CO2 concentrations. For the six illustrative SRES scenarios, IPCC (2001) projected the concentration of CO2 in the year 2100 as ranging between 540 and 970 parts-per-million (ppm). Uncertainties such as the removal of carbon from the atmosphere by "sinks" (e.g., forests) increase the projected range to between 490 and 1,260 ppm. This compares to a pre-industrial (taken as the year 1750) concentration of 280 ppm, and a concentration of 390.5 ppm in 2011.
Temperature
Atmospheric GHG concentrations can be related to changes in global mean temperature by the climate sensitivity. Projections of future global warming are affected by different estimates of climate sensitivity.
For a given increase in the atmospheric concentration of GHGs, high
estimates of climate sensitivity suggest that relatively more future
warming will occur, while low estimates of climate sensitivity suggest
that relatively less future warming will occur. Lower values would correspond with less severe climate impacts, while higher values would correspond with more severe impacts.
In the scientific literature, there is sometimes a focus on "best estimate" or "likely" values of climate sensitivity. However, from a risk management perspective,
values outside of "likely" ranges are relevant, because, though these
values are less probable, they could be associated with more severe
climate impacts (the statistical definition of risk = probability of an impact × magnitude of the impact).
Analysts have also looked at how uncertainty over climate
sensitivity affects economic estimates of climate change impacts. Hope
(2005), for example, found that uncertainty over the climate sensitivity was the most important factor in determining the social cost of carbon (an economic measure of climate change impacts).
Cost–benefit analysis
Standard cost–benefit analysis (CBA) (also referred to as a monetized cost–benefit framework) can be applied to the problem of climate change. This requires (1) the valuation of costs and benefits using willingness to pay (WTP) or willingness to accept (WTA) compensation as a measure of value, and (2) a criterion for accepting or rejecting proposals:
For (1), in CBA where WTP/WTA is used, climate change impacts are aggregated into a monetary value, with environmental impacts converted into consumption equivalents, and risk accounted for using certainty equivalents. Values over time are then discounted to produce their equivalent present values.
The valuation of costs and benefits of climate change can be controversial because some climate change impacts are difficult to assign a value to, e.g., ecosystems and human health. It is also impossible to know the preferences of future generations, which affects the valuation of costs and benefits. Another difficulty is quantifying the risks of future climate change.
For (2), the standard criterion is the (Kaldor-Hicks) compensation principle.
According to the compensation principle, so long as those benefiting
from a particular project compensate the losers, and there is still
something left over, then the result is an unambiguous gain in welfare. If there are no mechanisms allowing compensation to be paid, then it is necessary to assign weights to particular individuals.
One of the mechanisms for compensation is impossible for this
problem: mitigation might benefit future generations at the expense of
current generations, but there is no way that future generations can
compensate current generations for the costs of mitigation.
On the other hand, should future generations bear most of the costs of
climate change, compensation to them would not be possible.
Another transfer for compensation exists between regions and
populations. If, for example, some countries were to benefit from future
climate change but others lose out, there is no guarantee that the
winners would compensate the losers;
similarly, if some countries were to benefit from reducing climate
change but others lose out, there would likewise be no guarantee that
the winners would compensate the losers.
Cost–benefit analysis and risk
In a cost–benefit analysis, an acceptable risk means that the benefits of a climate policy outweigh the costs of the policy. The standard rule used by public and private decision makers is that a risk will be acceptable if the expected net present value is positive. The expected value is the mean of the distribution of expected outcomes.
In other words, it is the average expected outcome for a particular
decision. This criterion has been justified on the basis that:
- a policy's benefits and costs have known probabilities
- economic agents (people and organizations) can diversify their own risk through insurance and other markets.
On the first point, probabilities for climate change are difficult to calculate. Also, some impacts, such as those on human health and biodiversity, are difficult to value. On the second point, it has been suggested that insurance could be bought against climate change risks. In practice, however, there are difficulties in implementing the necessary policies to diversify climate change risks.
Risk
One of the problems of climate change are the large uncertainties
over the potential impacts of climate change, and the costs and
benefits of actions taken in response to climate change, e.g., in
reducing GHG emissions. Two related ways of thinking about the problem of climate change decision-making in the presence of uncertainty are iterative risk management and sequential decision making
Considerations in a risk-based approach might include, for example, the
potential for low-probability, worst-case climate change impacts.
An approach based on sequential decision making recognises that,
over time, decisions related to climate change can be revised in the
light of improved information. This is particularly important with respect to climate change, due to the long-term nature of the problem. A near-term hedging strategy concerned with reducing future climate impacts might favour stringent, near-term emissions reductions. As stated earlier, carbon dioxide accumulates in the atmosphere, and to stabilize the atmospheric concentration of CO2, emissions would need to be drastically reduced from their present level (refer to diagram opposite).
Stringent near-term emissions reductions allow for greater future
flexibility with regard to a low stabilization target, e.g., 450 parts-per-million (ppm) CO2. To put it differently, stringent near-term emissions abatement can be seen as having an option value
in allowing for lower, long-term stabilization targets. This option may
be lost if near-term emissions abatement is less stringent.
On the other hand, a view may be taken that points to the
benefits of improved information over time. This may suggest an approach
where near-term emissions abatement is more modest.
Another way of viewing the problem is to look at the potential
irreversibility of future climate change impacts (e.g., damages to ecosystems) against the irreversibility of making investments in efforts to reduce emissions. Overall, a range of arguments can be made in favour of policies where
emissions are reduced stringently or modestly in the near-term.
Resilient and adaptive strategies
Granger Morgan et al. (2009)
suggested two related decision-making management strategies that might
be particularly appealing when faced with high uncertainty. The first
were resilient strategies. This seeks to identify a range of possible
future circumstances, and then choose approaches that work reasonably
well across all the range. The second were adaptive strategies. The idea
here is to choose strategies that can be improved as more is learned as
the future progresses. Granger Morgan et al. (2009) contrasted these two approaches with the cost–benefit approach, which seeks to find an optimal strategy.
Portfolio theory
An example of a strategy that is based on risk is portfolio theory.
This suggests that a reasonable response to uncertainty is to have a
wide portfolio of possible responses. In the case of climate change,
mitigation can be viewed as an effort to reduce the chance of climate
change impacts (Goldemberg et al., 1996, p. 24).
Adaptation acts as insurance against the chance that unfavourable
impacts occur. The risk associated with these impacts can also be
spread. As part of a policy portfolio, climate research can help when
making future decisions. Technology research can help to lower future
costs.
Optimal choices and risk aversion
The optimal result of decision analysis depends on how "optimal" is defined.
Decision analysis requires a selection criterion to be specified. In a
decision analysis based on monetized cost–benefit analysis (CBA), the
optimal policy is evaluated in economic terms. The optimal result of
monetized CBA maximizes net benefits. Another type of decision analysis
is cost-effectiveness analysis. Cost-effectiveness analysis aims to minimize net costs.
Monetized CBA may be used to decide on the policy objective,
e.g., how much emissions should be allowed to grow over time. The
benefits of emissions reductions are included as part of the assessment.
Unlike monetized CBA, cost-effectiveness analysis does not
suggest an optimal climate policy. For example, cost-effectiveness
analysis may be used to determine how to stabilize atmospheric
greenhouse gas concentrations at lowest cost. However, the actual choice
of stabilization target (e.g., 450 or 550 ppm carbon dioxide equivalent), is not "decided" in the analysis.
The choice of selection criterion for decision analysis is subjective. The choice of criterion is made outside of the analysis (it is exogenous). One of the influences on this choice on this is attitude to risk. Risk aversion
describes how willing or unwilling someone is to take risks. Evidence
indicates that most, but not all, individuals prefer certain outcomes to
uncertain ones. Risk-averse individuals prefer decision criteria that
reduce the chance of the worst possible outcome, while risk-seeking
individuals prefer decision criteria that maximize the chance of the
best possible outcome. In terms of returns on investment, if society as a
whole is risk-averse, we might be willing to accept some investments
with negative expected returns, e.g., in mitigation. Such investments may help to reduce the possibility of future climate damages or the costs of adaptation.
Alternative views
As stated, there is considerable uncertainty over decisions regarding
climate change, as well as different attitudes over how to proceed,
e.g., attitudes to risk and valuation of climate change impacts. Risk
management can be used to evaluate policy decisions based a range of
criteria or viewpoints, and is not restricted to the results of
particular type of analysis, e.g., monetized CBA. Some authors have focused on a disaggregated analysis of climate change impacts.
"Disaggregated" refers to the choice to assess impacts in a variety of
indicators or units, e.g., changes in agricultural yields and loss of
biodiversity. By contrast, monetized CBA converts all impacts into a
common unit (money), which is used to assess changes in social welfare.
International insurance
Traditional
insurance works by transferring risk to those better able or more
willing to bear risk, and also by the pooling of risk (Goldemberg et al., 1996, p. 25). Since the risks of climate change are, to some extent, correlated,
this reduces the effectiveness of pooling. However, there is reason to
believe that different regions will be affected differently by climate
change. This suggests that pooling might be effective. Since developing countries appear to be potentially most at risk from the effects of climate change, developed countries could provide insurance against these risks.
A study carried out by David R. Easterling et al. identified
societal impacts in the United States. Losses caused by catastrophes,
defined by the property insurance industry as storms causing insured
losses over $5 million in the year of occurrence, have grown steadily in
the United States from about $100 million annually in the 1950s to $6
billion per year in the 1990s, and the annual number of catastrophes
grew from 10 in the 1950s to 35 in the 1990s.”
Authors have pointed to several reasons why commercial insurance markets cannot adequately cover risks associated with climate change.
For example, there is no international market where individuals or
countries can insure themselves against losses from climate change or
related climate change policies.
Financial markets for risk
There are several options for how insurance could be used in responding to climate change.
One response could be to have binding agreements between countries.
Countries suffering greater-than-average climate-related losses would be
assisted by those suffering less-than-average losses. This would be a
type of mutual insurance contract. Another approach would be to trade
"risk securities" among countries. These securities would amount to betting on particular climate outcomes.
These two approaches would allow for a more efficient
distribution of climate change risks. They would also allow for
different beliefs over future climate outcomes. For example, it has been
suggested that these markets might provide an objective test of the
honesty of a particular country's beliefs over climate change. Countries
that honestly believe that climate change presents little risk would be
more prone to hold securities against these risks.
Impacts
Distribution of impacts
Climate change impacts can be measured as an economic cost (Smith et al., 2001, pp. 936–941).
This is particularly well-suited to market impacts, that is impacts
that are linked to market transactions and directly affect GDP. Monetary
measures of non-market impacts, e.g., impacts on human health and ecosystems, are more difficult to calculate. Other difficulties with impact estimates are listed below:
- Knowledge gaps: Calculating distributional impacts requires detailed geographical knowledge, but these are a major source of uncertainty in climate models.
- Vulnerability: Compared with developed countries, there is a limited understanding of the potential market sector impacts of climate change in developing countries.
- Adaptation: The future level of adaptive capacity in human and natural systems to climate change will affect how society will be impacted by climate change. Assessments may under- or overestimate adaptive capacity, leading to under- or overestimates of positive or negative impacts.
- Socioeconomic trends: Future predictions of development affect estimates of future climate change impacts, and in some instances, different estimates of development trends lead to a reversal from a predicted positive, to a predicted negative, impact (and vice versa).
In a literature assessment, Smith et al. (2001, pp. 957–958) concluded, with medium confidence, that:
- Climate change would increase income inequalities between and within countries.
- A small increase in global mean temperature (up to 2 °C, measured against 1990 levels) would result in net negative market sector impacts in many developing countries and net positive market sector impacts in many developed countries.
With high confidence, it was predicted that with a medium (2–3 °C) to
high level of warming (greater than 3 °C), negative impacts would be
exacerbated, and net positive impacts would start to decline and
eventually turn negative.
Water scarcity due to climate change is predicted to decrease global gross domestic product (gross world product)
according to a recent report by the World Bank, which predicts that
this "severe hit" will spur conflict and migration across the Middle
East, Central Asia, and Africa.
Aggregate impacts
Aggregating impacts adds up the total impact of climate change across sectors and/or regions (IPCC, 2007a, p. 76).
In producing aggregate impacts, there are a number of difficulties,
such as predicting the ability of societies to adapt climate change, and
estimating how future economic and social development will progress
(Smith et al., 2001, p. 941). It is also necessary for the researcher to make subjective value judgements over the importance of impacts occurring in different economic sectors, in different regions, and at different times.
Smith et al. (2001, p. 958) assessed the literature on the aggregate impacts of climate change.
With medium confidence, they concluded that a small increase in global
average temperature (up to 2 °C, measured against 1990 levels) would
result in an aggregate market sector impact of plus or minus a few
percent of world GDP. Smith et al. (2001) found that for a small
to medium (2-3 °C) global average temperature increase, some studies
predicted small net positive market impacts. Most studies they assessed
predicted net damages beyond a medium temperature increase, with further
damages for greater (more than 3 °C) temperature rises.
Comparison with SRES projections
IPCC (2001, p. 74) compared their literature assessment of the
aggregate market sector impacts of climate change against projections of
future increases in global mean temperature.
Temperature projections were based on the six illustrative SRES
emissions scenarios. Projections for the year 2025 ranged from 0.4 to
1.1 °C. For 2050, projections ranged from 0.8 to 2.6 °C, and for 2100,
1.4 to 5.8 °C. These temperature projections correspond to atmospheric
CO2 concentrations of 405–460 ppm for the year 2025, 445–640 ppm for 2050, and 540–970 ppm for 2100.
Adaptation and vulnerability
IPCC (2007a) defined adaptation (to climate change) as "[initiatives]
and measures to reduce the vulnerability of natural and human systems
against actual or expected climate change effects" (p. 76).
Vulnerability (to climate change) was defined as "the degree to which a
system is susceptible to, and unable to cope with, adverse effects of
climate change, including climate variability and extremes" (p. 89).
Autonomous and planned adaptation
Autonomous
adaptation are adaptations that are reactive to climatic stimuli, and
are done as a matter of course without the intervention of a public
agency. Planned adaptation can be reactive or anticipatory, i.e.,
undertaken before impacts are apparent. Some studies suggest that human
systems have considerable capacity to adapt autonomously (Smit et al., 2001:890). Others point to constraints on autonomous adaptation, such as limited information and access to resources (p. 890). Smit et al.
(2001:904) concluded that relying on autonomous adaptation to climate
change would result in substantial ecological, social, and economic
costs. In their view, these costs could largely be avoided with planned
adaptation.
Costs and benefits
A literature assessment by Adger et al. (2007:719) concluded that there was a lack of comprehensive, global cost and benefit estimates for adaptation.
Studies were noted that provided cost estimates of adaptation at
regional level, e.g., for sea-level rise. A number of adaptation
measures were identified as having high benefit-cost ratios.
Adaptive capacity
Adaptive capacity is the ability of a system to adjust to climate change. Smit et al. (2001:895–897) described the determinants of adaptive capacity:
- Economic resources: Wealthier nations are better able to bear the costs of adaptation to climate change than poorer ones.
- Technology: Lack of technology can impede adaptation.
- Information and skills: Information and trained personnel are required to assess and implement successful adaptation options.
- Social infrastructure
- Institutions: Nations with well-developed social institutions are believed to have greater adaptive capacity than those with less effective institutions, typically developing nations and economies in transition.
- Equity: Some believe that adaptive capacity is greater where there are government institutions and arrangements in place that allow equitable access to resources.
- countries with limited economic resources, low levels of technology, poor information and skills, poor infrastructure, unstable or weak institutions, and inequitable empowerment and access to resources have little adaptive capacity and are highly vulnerable to climate change (p. 879).
- developed nations, broadly speaking, have greater adaptive capacity than developing regions or countries in economic transition (p. 897).
Enhancing adaptive capacity
Smit et al.
(2001:905) concluded that enhanced adaptive capacity would reduce
vulnerability to climate change. In their view, activities that enhance
adaptive capacity are essentially equivalent to activities that promote sustainable development. These activities include
- improving access to resources
- reducing poverty
- lowering inequities of resources and wealth among groups
- improving education and information
- improving infrastructure
- improving institutional capacity and efficiency
Goklany (1995) concluded that promoting free trade – e.g., through
the removal of international trade barriers – could enhance adaptive
capacity and contribute to economic growth.
Regions
With high confidence, Smith et al. (2001:957–958) concluded that developing countries would tend to be more vulnerable to climate change than developed countries. Based on then-current development trends, Smith et al. (2001:940–941) predicted that few developing countries would have the capacity to efficiently adapt to climate change.
- Africa: In a literature assessment, Boko et al. (2007:435) concluded, with high confidence, that Africa's major economic sectors had been vulnerable to observed climate variability. This vulnerability was judged to have contributed to Africa's weak adaptive capacity, resulting in Africa having high vulnerability to future climate change. It was thought likely that projected sea-level rise would increase the socio-economic vulnerability of African coastal cities.
- Asia: Lal et al. (2001:536) reviewed the literature on adaptation and vulnerability. With medium confidence, they concluded that climate change would result in the degradation of permafrost in boreal Asia, worsening the vulnerability of climate-dependent sectors, and affecting the region's economy.
- Australia and New Zealand: Hennessy et al. (2007:509) reviewed the literature on adaptation and vulnerability. With high confidence, they concluded that in Australia and New Zealand, most human systems had considerable adaptive capacity. With medium confidence, some Indigenous communities were judged to have low adaptive capacity.
- Europe: In a literature assessment, Kundzewicz et al. (2001:643) concluded, with very high confidence, that the adaptation potential of socioeconomic systems in Europe was relatively high. This was attributed to Europe's high GNP, stable growth, stable population, and well-developed political, institutional, and technological support systems.
- Latin America: In a literature assessment, Mata et al. (2001:697) concluded that the adaptive capacity of socioeconomic systems in Latin America was very low, particularly in regard to extreme weather events, and that the region's vulnerability was high.
- Polar regions: Anisimov et al. (2001, pp. 804–805) concluded that:
- within the Antarctic and Arctic, at localities where water was close to melting point, socioeconomic systems were particularly vulnerable to climate change.
- the Arctic would be extremely vulnerable to climate change. Anisimov et al. (2001) predicted that there would be major ecological, sociological, and economic impacts in the region.
- Small islands: Mimura et al. (2007, p. 689) concluded, with very high confidence, that small islands were particularly vulnerable to climate change. Partly this was attributed to their low adaptive capacity and the high costs of adaptation in proportion to their GDP.
Systems and sectors
- Coasts and low-lying areas: According to Nicholls et al. (2007, p. 336), societal vulnerability to climate change is largely dependent on development status. Developing countries lack the necessary financial resources to relocate those living in low-lying coastal zones, making them more vulnerable to climate change than developed countries. With high confidence, Nicholls et al. (2007, p. 317) concluded that on vulnerable coasts, the costs of adapting to climate change are lower than the potential damage costs.
- Industry, settlements and society:
- At the scale of a large nation or region, at least in most industrialized economies, the economic value of sectors with low vulnerability to climate change greatly exceeds that of sectors with high vulnerability (Wilbanks et al., 2007, p. 366). Additionally, the capacity of a large, complex economy to absorb climate-related impacts, is often considerable. Consequently, estimates of the aggregate damages of climate change – ignoring possible abrupt climate change – are often rather small as a percentage of economic production. On the other hand, at smaller scales, e.g., for a small country, sectors and societies might be highly vulnerable to climate change. Potential climate change impacts might therefore amount to very severe damages.
- Wilbanks et al. (2007, p. 359) concluded, with very high confidence, that vulnerability to climate change depends considerably on specific geographic, sectoral and social contexts. In their view, these vulnerabilities are not reliably estimated by large-scale aggregate modelling.
Mitigation
Mitigation of climate change involves actions that are designed to limit the amount of long-term climate change (Fisher et al., 2007:225). Mitigation may be achieved through the reduction of GHG emissions or through the enhancement of sinks that absorb GHGs, e.g., forests.
International public goods
The atmosphere is an international public good, and GHG emissions are an international externality (Goldemberg et al., 1996:21, 28, 43).
A change in the quality of the atmosphere does not affect the welfare
of all individuals equally. In other words, some individuals may benefit
from climate change, while others may lose out. This uneven
distribution of potential climate change impacts, plus the uneven
distribution of emissions globally, make it difficult to secure a global
agreement to reduce emissions.
Policies
National
Both
climate and non-climate policies can affect emissions growth.
Non-climate policies that can affect emissions are listed below
(Bashmakov et al., 2001:409-410):
- Market-orientated reforms can have important impacts on energy use, energy efficiency, and therefore GHG emissions.
- Price and subsidy policies: Many countries provide subsidies for activities that impact emissions, e.g., subsidies in the agriculture and energy sectors, and indirect subsidies for transport.
- Market liberalization: Restructuring of energy markets has occurred in several countries and regions. These policies have mainly been designed to increase competition in the market, but they can have a significant impact on emissions.
There are a number of policies that might be used to mitigate climate change, including The Green Marshall Plan which calls for global central bank money creation to fund green infrastructure,
(Bashmakov et al., 2001:412–422):
- Regulatory standards, such as fuel-efficiency standards for cars (Creutzig et al., 2011).
- Market-based instruments, such as emissions taxes and tradable permits.
- Voluntary agreements between public agencies and industry.
- Informational instruments, e.g., to increase public awareness of climate change.
- Use of subsidies and financial incentives, e.g., feed-in tariffs for renewable energy (Gupta et al., 2007:762).
- Removal of subsidies, e.g., for coal mining and burning (Barker et al., 2001:567–568).
- Demand-side management, which aims to reduce energy demand through energy audits, product labelling, etc.
International
- The Kyoto Protocol to the UNFCCC sets out legally binding emission reduction commitments for the "Annex B" countries (Verbruggen, 2007, p. 817). The Protocol defines three international policy instruments ("Flexibility Mechanisms") which can be used by the Annex B countries to meet their emission reduction commitments. According to Bashmakov et al. (2001:402), use of these instruments could significantly reduce the costs for Annex B countries in meeting their emission reduction commitments.
- Other possible policies include internationally coordinated carbon taxes and/or regulation (Bashmakov et al., 2001:430).
Finance
The International Energy Agency
estimates that US$197 billion is required by states in the developing
world above and beyond the underlying investments needed by various
sectors regardless of climate considerations, this is twice the amount
promised by the developed world at the UN Framework Convention on Climate Change (UNFCCC) Cancún Agreements. Thus, a new method is being developed to help ensure that funding is available for climate change mitigation. This involves financial leveraging, whereby public financing is used to encourage private investment.
Cost estimates
According to a literature assessment by Barker et al., mitigation cost estimates depend critically on the
baseline (in this case, a reference scenario that the alternative
scenario is compared with), the way costs are modelled, and assumptions
about future government policy. Fisher et al. estimated macroeconomic costs in 2030 for multi-gas mitigation (reducing emissions of carbon dioxide and other GHGs, such as methane)
as between a 3% decrease in global GDP to a small increase, relative to
baseline. This was for an emissions pathway consistent with atmospheric
stabilization of GHGs between 445 and 710 ppm CO2-eq. In 2050, the estimated costs for stabilization between 710 and 445 ppm CO2-eq
ranged between a 1% gain to a 5.5% decrease in global GDP, relative to
baseline. These cost estimates were supported by a moderate amount of
evidence and much agreement in the literature.
Macroeconomic cost estimates made by Fisher et al.
(2007:204) were mostly based on models that assumed transparent markets,
no transaction costs, and perfect implementation of cost-effective
policy measures across all regions throughout the 21st century.
According to Fisher et al. (2007), relaxation of some or all
these assumptions would lead to an appreciable increase in cost
estimates. On the other hand, IPCC
noted that cost estimates could be reduced by allowing for accelerated
technological learning, or the possible use of carbon tax/emission
permit revenues to reform national tax systems.
- Regional costs were estimated as possibly being significantly different from the global average. Regional costs were found to be largely dependent on the assumed stabilization level and baseline scenario.
- Sectoral costs: In a literature assessment, Barker et al. (2001:563–564), predicted that the renewables sector could potentially benefit from mitigation. The coal (and possibly the oil) industry was predicted to potentially lose substantial proportions of output relative to a baseline scenario, with energy-intensive sectors, such as heavy chemicals, facing higher costs.
Adaptation and mitigation
The distribution of benefits from adaptation and mitigation policies are different in terms of damages avoided (Toth et al., 2001:653).
Adaptation activities mainly benefit those who implement them, while
mitigation benefits others who may not have made mitigation investments.
Mitigation can therefore be viewed as a global public good, while
adaptation is either a private good in the case of autonomous adaptation, or a national or regional public good in the case of public sector policies.
Paying for an international public good
Economists generally agree on the following two principles (Goldemberg, et al.., 1996:29):
- For the purposes of analysis, it is possible to separate equity from efficiency. This implies that all emitters, regardless of whether they are rich or poor, should pay the full social costs of their actions. From this perspective, corrective (Pigouvian) taxes should be applied uniformly.
- It is inappropriate to redress all equity issues through climate change policies. However, climate change itself should not aggravate existing inequalities between different regions.
Some early studies suggested that a uniform carbon tax would be a fair and efficient way of reducing emissions (Banuri et al., 1996, pp. 103–104). A carbon tax is a Pigouvian tax, and taxes fuels based on their carbon content (Hoeller and Wallin, 1991, p. 92). A literature assessment by Banuri et al. (1996:103–104) summarized criticisms of such a system:
- A carbon tax would impose different burdens on countries due to existing differences in tax structures, resource endowments, and development.
- Most observers argue that such a tax would not be fair because of differences in historical emissions and current wealth.
- A uniform carbon tax would not be Pareto efficient unless lump sum transfers were made between countries. Pareto efficiency requires that the carbon tax would not make any countries worse off than they would be without the tax (Chichilnisky and Heal, 1994, p. 445; Tol, 2001, p. 72). Also, at least one country would need to be better off.
An alternative approach to having a Pigouvian tax is one based on
property rights. A practical example of this would be a system of
emissions trading, which is essentially a privatization of the
atmosphere (Hepburn, 2007). The idea of using property rights in response to an externality was put forward by Coase
(1960). Coase's model of social cost assumes a situation of equal
bargaining power among participants and equal costs of making the
bargain (Toth et al.., 2001:668).
Assigning property rights can be an efficient solution. This is based
on the assumption that there are no bargaining/transaction costs
involved in buying or selling these property rights, and that buyers and
sellers have perfect information available when making their decisions.
If these assumptions are correct, efficiency is achieved
regardless of how property rights are allocated. In the case of
emissions trading, this suggests that equity and efficiency can be
addressed separately: equity is taken care of in the allocation of
emission permits, and efficiency is promoted by the market system. In
reality, however, markets do not live up to the ideal conditions that
are assumed in Coase's model, with the result that there may be
trade-offs between efficiency and equity (Halsnæs et al., 2007).
Efficiency and equity
No scientific consensus exists on who should bear the burden of adaptation and mitigation costs (Goldemberg et al.., 1996:29).
Several different arguments have been made over how to spread the costs
and benefits of taxes or systems based on emissions trading.
One approach considers the problem from the perspective of who
benefits most from the public good. This approach is sensitive to the
fact that different preferences exist between different income classes.
The public good is viewed in a similar way as a private good, where
those who use the public good must pay for it. Some people will benefit
more from the public good than others, thus creating inequalities in the
absence of benefit taxes. A difficulty with public goods is determining
who exactly benefits from the public good, although some estimates of
the distribution of the costs and benefits of global warming have been
made. Additionally, this approach does not provide guidance as to how the surplus of benefits from climate policy should be shared.
A second approach has been suggested based on economics and the social welfare function.
To calculate the social welfare function requires an aggregation of the
impacts of climate change policies and climate change itself across all
affected individuals. This calculation involves a number of
complexities and controversial equity issues (Markandya et al., 2001:460).
For example, the monetization of certain impacts on human health. There
is also controversy over the issue of benefits affecting one individual
offsetting negative impacts on another (Smith et al.., 2001:958). These issues to do with equity and aggregation cannot be fully resolved by economics (Banuri et al.., 1996:87).
On a utilitarian
basis, which has traditionally been used in welfare economics, an
argument can be made for richer countries taking on most of the burdens
of mitigation (Halsnæs et al., 2007).
However, another result is possible with a different modeling of
impacts. If an approach is taken where the interests of poorer people
have lower weighting, the result is that there is a much weaker argument
in favour of mitigation action in rich countries. Valuing climate
change impacts in poorer countries less than domestic climate change
impacts (both in terms of policy and the impacts of climate change)
would be consistent with observed spending in rich countries on foreign
aid (Hepburn, 2005; Helm, 2008:229).
In terms of the social welfare function, the different results
depend on the elasticity of marginal utility. A declining marginal
utility of consumption means that a poor person is judged to benefit
more from increases in consumption relative to a richer person. A
constant marginal utility of consumption does not make this distinction,
and leads to the result that richer countries should mitigate less.
A third approach looks at the problem from the perspective of who
has contributed most to the problem. Because the industrialized
countries have contributed more than two-thirds of the stock of
human-induced GHGs in the atmosphere, this approach suggests that they
should bear the largest share of the costs. This stock of emissions has
been described as an "environmental debt" (Munasinghe et al., 1996, p. 167).
In terms of efficiency, this view is not supported. This is because
efficiency requires incentives to be forward-looking, and not
retrospective (Goldemberg et al., 1996, p. 29). The question of
historical responsibility is a matter of ethics. Munasinghe et al. (1996, p. 167) suggested that developed countries could address the issue by making side-payments to developing countries.
Trade offs
It is often argued in the literature that there is a trade-off
between adaptation and mitigation, in that the resources committed to
one are not available for the other (Schneider et al., 2001:94).
This is debatable in practice because the people who bear emission
reduction costs or benefits are often different from those who pay or
benefit from adaptation measures.
There is also a trade off in how much damage from climate change
should be avoided. The assumption that it is always possible to trade
off different outcomes is viewed as problematic by many people (Halsnæs et al., 2007). For example, a trade off might exist between economic growth and damages faced by indigenous cultures.
Some of the literature has pointed to difficulties in these kinds
of assumptions. For instance, there may be aversion at any price
towards losing particular species. It has also been suggested that
low-probability, extreme outcomes are overweighted when making choices.
This is related to climate change, since the possibility of future abrupt changes in the climate or the Earth system cannot be ruled out. For example, if the West Antarctic ice sheet was to disintegrate, it could result in a sea level rise of 4–6 meters over several centuries.
Cost–benefit analysis
In a cost–benefit analysis, the trade offs between climate change
impacts, adaptation, and mitigation are made explicit. Cost–benefit
analyses of climate change are produced using integrated assessment
models (IAMs), which incorporate aspects of the natural, social, and
economic sciences.
In an IAM designed for cost–benefit analysis, the costs and
benefits of impacts, adaptation and mitigation are converted into
monetary estimates. Some view the monetization of costs and benefits as
controversial.
The "optimal" levels of mitigation and adaptation are then resolved by
comparing the marginal costs of action with the marginal benefits of
avoided climate change damages (Toth et al., 2001:654). The decision over what "optimal" is depends on subjective value judgements made by the author of the study (Azar, 1998).
There are many uncertainties that affect cost–benefit analysis,
for example, sector- and country-specific damage functions (Toth et al.,
2001:654). Another example is with adaptation. The options and costs
for adaptation are largely unknown, especially in developing countries.
Results
A
common finding of cost–benefit analysis is that the optimum level of
emissions reduction is modest in the near-term, with more stringent
abatement in the longer-term (Stern, 2007:298; Heal, 2008:20; Barker, 2008). This approach might lead to a warming of more than 3 °C above the pre-industrial level (World Bank, 2010:8).
In most models, benefits exceed costs for stabilization of GHGs leading
to warming of 2.5 °C. No models suggest that the optimal policy is to
do nothing, i.e., allow "business-as-usual" emissions.
Along the efficient emission path calculated by Nordhaus and Boyer (2000) (referred to by Fisher et al.., 2007), the long-run global average temperature after 500 years increases by 6.2 °C above the 1900 level.
Nordhaus and Boyer (2000) stated their concern over the potentially
large and uncertain impacts of such a large environmental change. It
should be noted that the projected temperature in this IAM, like any
other, is subject to scientific uncertainty (e.g., the relationship
between concentrations of GHGs and global mean temperature, which is
called the climate sensitivity). Projections of future atmospheric concentrations based on emission
pathways are also affected by scientific uncertainties, e.g., over how
carbon sinks, such as forests, will be affected by future climate
change. Klein et al. (2007) concluded that there were few high
quality studies in this area, and placed low confidence in the results
of cost–benefit analysis.
Hof et al. (2008) (referred to by World Bank,
2010:8) examined the sensitivity of the optimal climate target to
assumptions about the time horizon, climate sensitivity, mitigation
costs, likely damages, and discount rates. The optimal target was
defined as the concentration that would result in the lowest reduction
in the present value (i.e., discounted) of global consumption. A set of
assumptions that included a relatively high climate sensitivity (i.e., a
relatively large global temperature increase for a given increase in
GHGs), high damages, a long time horizon, low discount rates (i.e.,
future consumption is valued relatively highly), and low mitigation
costs, produced an optimum peak in the concentration of CO2e
at 540 parts per million (ppm). Another set of assumptions that assumed a
lower climate sensitivity (lower global temperature increase), lower
damages, a shorter time horizon, and a higher discount rate (present
consumption is valued relatively more highly), produced an optimum
peaking at 750 ppm.
Strengths
In spite of various uncertainties or possible criticisms of cost–benefit analysis, it does have several strengths:
- It offers an internally consistent and global comprehensive analysis of impacts (Smith et al., 2001:955).
- Sensitivity analysis allows critical assumptions in the analysis to be changed. This can identify areas where the value of information is highest and where additional research might have the highest payoffs (Downing, et al., 2001:119).
- As uncertainty is reduced, the integrated models used in producing cost–benefit analysis might become more realistic and useful.
Geoengineering
Geoengineering
are technological efforts to stabilize the climate system by direct
intervention in the Earth-atmosphere-system's energy balance
(Verbruggen, 2007, p. 815).
The intent of geoengineering is to reduce the amount of global warming
(the observed trend of increased global average temperature (NRC, 2008,
p. 2)). IPCC (2007b:15) concluded that reliable cost estimates for geoengineering options had not been published. This finding was based on medium agreement in the literature and limited evidence.
Major reports considering economics of climate change
The Intergovernmental Panel on Climate Change
(IPCC) has produced several reports where the economics literature on
climate change is assessed. In 1995, the IPCC produced its second
set of assessment reports on climate change. Working Group III of the
IPCC produced a report on the "Economic and Social Dimensions of Climate
Change." In the later third and fourth
IPCC assessments, published in 2001 and 2007 respectively, the
assessment of the economics literature is divided across two reports
produced by IPCC Working Groups II and III. In 2011 IPCC Working Group
III published a Special Report on Renewable Energy Sources and Climate Change Mitigation.
The Stern Review on the Economics of Climate Change is a 700-page report released for the British government on 30 October 2006, by economist Nicholas Stern, chair of the Grantham Research Institute on Climate Change and the Environment at the London School of Economics. The report discusses the effect of global warming on the world economy.
The Garnaut Climate Change Review was a study by Professor Ross Garnaut, commissioned by then Opposition Leader, Kevin Rudd and by the Australian State and Territory Governments on 30 April 2007. After his election on 24 November 2007 Prime Minister of Australia Kevin Rudd confirmed the participation of the Commonwealth Government in the Review.
A report by the United Nations Environment Program and the World
Trade Organization "provides an overview of the key linkages between
trade and climate change based on a review of available literature and a
survey of relevant national policies".