The Challenge of Global Warming for the Global Economy - GFDRR
The Challenge of Global Warming for the Global Economy - GFDRR
The Challenge of Global Warming for the Global Economy - GFDRR
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<strong>The</strong> <strong>Challenge</strong> <strong>of</strong> <strong>Global</strong> <strong>Warming</strong><br />
<strong>for</strong> <strong>the</strong> <strong>Global</strong> <strong>Economy</strong><br />
William D. Nordhaus<br />
Yale University<br />
September 11, 2008<br />
World Bank / <strong>GFDRR</strong> Seminar Series<br />
Slides are available at http://nordhaus.econ.yale.edu/ and “www.<br />
gfdrr.org”. Full study is William Nordhaus, A Question <strong>of</strong> Balance:<br />
Weighing <strong>the</strong> Options on Climate Change, Yale University Press, 2008,<br />
available in full at author’s web page.<br />
1
Outline <strong>of</strong> lecture<br />
1. <strong>The</strong> science <strong>of</strong> global warming<br />
2. What is <strong>the</strong> underlying economic problem?<br />
3. What are <strong>the</strong> insights <strong>of</strong> economic integrated<br />
assessment (IA) models?<br />
4. Major Issues <strong>for</strong> <strong>the</strong> Next Round <strong>of</strong> <strong>the</strong> International<br />
Accords (post-Kyoto Protocol)<br />
- Impacts<br />
- Participation<br />
- Taxes v. caps<br />
2
CO 2 concentrations at Mauna Loa<br />
390<br />
380<br />
370<br />
360<br />
350<br />
340<br />
330<br />
320<br />
310<br />
60 65 70 75 80 85 90 95 00 05<br />
3
Instrumental record: global mean temperature index(°C)<br />
1.2<br />
1.0<br />
0.8<br />
<strong>Global</strong> Mean Temperature Anomaly<br />
(Relative to 1900)<br />
GISS<br />
Hadley<br />
Degrees C<br />
0.6<br />
0.4<br />
0.2<br />
0.0<br />
-0.2<br />
-0.4<br />
1860 1880 1900 1920 1940 1960 1980 2000<br />
4
IPCC AR4 Model Results: History and Projections<br />
DICE-2007<br />
model<br />
5
What is <strong>the</strong> economist’s bottom on global warming?<br />
<strong>The</strong> fundamental problem is <strong>the</strong> climate-change externality – a<br />
“global public good”<br />
Economic participants (millions <strong>of</strong> firms, billions <strong>of</strong> people, trillions<br />
<strong>of</strong> decisions) need to face realistic carbon prices if <strong>the</strong>ir decisions<br />
about consumption, investment, and innovation are to be correct.<br />
1. To be effective, we need a market price <strong>of</strong> carbon<br />
emissions that reflects <strong>the</strong> social costs.<br />
2. Moreover, to be efficient, <strong>the</strong> price must be universal<br />
and harmonized in every sector and country.<br />
But a major economic question remains: what is <strong>the</strong> appropriate<br />
price <strong>of</strong> carbon? This question is addressed by integrated<br />
assessment models.<br />
6
Integrated Assessment (IA) Models<br />
What are IA models?<br />
- <strong>The</strong>se are models that include <strong>the</strong> full range <strong>of</strong> cause<br />
and effect in climate change (“end to end” modeling).<br />
Major goals <strong>of</strong> IA models:<br />
Project trends<br />
Assess costs and benefits <strong>of</strong> climate policies<br />
Assess uncertainties and research priorities<br />
Estimate <strong>the</strong> carbon price and efficient emissions reductions<br />
<strong>for</strong> different goals<br />
7
Fossil fuel use<br />
generates CO2<br />
emissions<br />
<strong>The</strong> emissionsclimate-impactspolicy<br />
nexus:<br />
<strong>The</strong> DICE-2007<br />
model<br />
Carbon cycle:<br />
redistributes around<br />
atmosphere, oceans, etc.<br />
Impacts on ecosystems,<br />
agriculture, diseases,<br />
skiing, golfing, …<br />
Climate system: change<br />
in radiative warming, precip,<br />
ocean currents, sea level rise,…<br />
Measures to control<br />
emissions (limits, taxes,<br />
subsidies, …)<br />
8
Policy Scenarios <strong>for</strong> Analysis<br />
1. Baseline. No emissions controls.<br />
2. Optimal policy. Emissions and carbon prices to<br />
maximize discounted economic welfare.<br />
3. Limit to 2 °C. Climatic constraints with global<br />
temperature increase limited to 2 °C above 1900<br />
4. Streng<strong>the</strong>ned Kyoto Protocol. Modeled on US proposal<br />
with rich countries at same time and developing<br />
countries join after 1 -3 decades.<br />
5. “Ambitious”: Gore/Stern early emissions reductions<br />
9
Temperature pr<strong>of</strong>iles: DICE 2008<br />
Temperature increase from 1900 (deg C)<br />
6.0<br />
5.0<br />
4.0<br />
3.0<br />
2.0<br />
1.0<br />
Base 2007<br />
Strong Kyoto<br />
Optimum<br />
2 degree C limit<br />
Base 2008<br />
0.0<br />
10
Concentrations pr<strong>of</strong>iles: DICE 2008<br />
1300<br />
Carbon concentrations (ppm)<br />
1200<br />
1100<br />
1000<br />
900<br />
800<br />
700<br />
600<br />
500<br />
Optimal<br />
Baseline<br />
< 2 deg C<br />
Strong Kyoto<br />
Double <strong>of</strong><br />
Pre-industrial<br />
level<br />
400<br />
300<br />
11
Carbon prices <strong>for</strong> major scenarios<br />
Carbon price (2005 US$ per ton C)<br />
1000<br />
900<br />
800<br />
700<br />
600<br />
500<br />
400<br />
300<br />
Optimal<br />
Baseline<br />
< 2 degrees C<br />
Strong Kyoto<br />
200<br />
100<br />
0<br />
2005 2015 2025 2035 2045 2055 2065 2075 2085 2095 2105<br />
12
What do carbon prices mean in practice?<br />
Carbon tax,<br />
2010 Increase, price <strong>of</strong> energy, US<br />
[$/tC]<br />
Gasoline<br />
All energy<br />
expenditures<br />
Kyoto: global average $2 0.2% 0.3%<br />
"Optimal" 35 3.3% 5.4%<br />
Climate constrained 50 4.8% 7.7%<br />
Gore/Stern 200 19.0% 30.7%<br />
13
Limitations <strong>of</strong> DICE Model<br />
• Version discussed today is global aggregate<br />
(however, regional model has been developed and is<br />
being updated).<br />
• Major uncertainties about many modules<br />
(particularly future technological change and<br />
impacts)<br />
• Many modules are “reduced <strong>for</strong>m” ra<strong>the</strong>r than<br />
structural<br />
• Enduring controversy and confusion about<br />
“discounting”<br />
14
Major issues <strong>for</strong> a revised international regime<br />
1. What are <strong>the</strong> likely impacts <strong>of</strong> climate change?<br />
2. <strong>The</strong> economics <strong>of</strong> participation<br />
3. Cap and trade v. carbon taxes?<br />
15
1. <strong>The</strong> Question <strong>of</strong> Climate Impacts<br />
Estimating <strong>the</strong> impact <strong>of</strong> climate change on society<br />
is <strong>the</strong> most treacherous <strong>of</strong> all areas.<br />
First approximation <strong>of</strong> climate damages:<br />
- Relatively minor impacts on market economies <strong>of</strong><br />
“North” <strong>for</strong> a century (+ 1 percent <strong>of</strong> output)<br />
- Likely to have very large impacts on unmanaged<br />
ecosystems a century out and more<br />
16
<strong>The</strong> Economics <strong>of</strong> Hurricanes<br />
Source: NOAA, Hurricane Katrina shortly be<strong>for</strong>e landfall<br />
17
Hurricane cartoon<br />
NOAA<br />
18
Napatree point, Watch Hill, RI<br />
September<br />
20, 1938<br />
September<br />
22, 1938<br />
Source: Newsweek, <strong>The</strong> Great Hurricane <strong>of</strong> 1938.<br />
19
<strong>Global</strong><br />
intensity<br />
P. J. Webster, G. J. Holland, J. A. Curry, H.-R. Chang, “Changes in Tropical Cyclone Number,<br />
Duration, and Intensity in a <strong>Warming</strong> Environment,” Science, Sept. 2005<br />
20
Normalized costs <strong>of</strong> hurricanes, 1950-2008:08<br />
.9<br />
.8<br />
.7<br />
Hurricane cost<br />
(% <strong>of</strong> GDP/year)<br />
.6<br />
.5<br />
.4<br />
.3<br />
.2<br />
.1<br />
.0<br />
1950 1960 1970 1980 1990 2000 2010<br />
Year<br />
Source: author’s estimates.<br />
21
Damage and power <strong>for</strong> individual hurricanes, 1950-2005<br />
4<br />
0<br />
ln (damage/GDP)<br />
-4<br />
-8<br />
-12<br />
-16<br />
3.6 4.0 4.4 4.8 5.2<br />
ln (maximum wind)<br />
22
Econometrics <strong>of</strong> hurricane damages (updated to 2008)<br />
“[<strong>The</strong>] amount <strong>of</strong> damage increases roughly as <strong>the</strong> cube <strong>of</strong> <strong>the</strong> maximum<br />
wind speed in storms…” (Kerry Emanuel, Nature, 2005)<br />
“While this may appear to be a relatively insignificant increase, nonlinear<br />
effects can make even a small increase important in causing damage,<br />
because damage is proportional to <strong>the</strong> cube <strong>of</strong> <strong>the</strong> wind speed.”<br />
(An<strong>the</strong>s et al, BATIS, 2006)<br />
MAJOR SURPRISE: Super-high elasticity.<br />
(1) ln(cost/GDP) =⋅⋅⋅+ 8.09 ln (maxwind) + 0.023 year<br />
(0.66) (0.0071)<br />
2<br />
R = 0.503; N = 154; standard errors <strong>of</strong> coefficients in paren<strong>the</strong>ses<br />
23
Estimated mean damages from global warming, central<br />
case and alternative estimates<br />
Case<br />
(1) (2) (3) (4)<br />
Semielasticity<br />
Change in<br />
<strong>of</strong> tropical sea-<br />
maximum surface<br />
wind speed temperature<br />
w.r.t. T (SST , oC)<br />
Elasticity <strong>of</strong><br />
damages<br />
w.r.t.<br />
windspeed<br />
Estimated<br />
increase in<br />
mean<br />
damages<br />
(% increase)<br />
Central case 8.0 0.035 2.5 96%<br />
OLS elasticity 7.2 0.035 2.5 83%<br />
Emanuel semi-elasticity 8.5 0.055 2.5 199%<br />
Conventional damage impact 3.0 0.035 2.5 29%<br />
SST warming since 1950 8.0 0.035 0.4 12%<br />
Higher storm elasticities 8.5 0.125 2.5 2018%<br />
24
2. <strong>The</strong> economics <strong>of</strong> participation<br />
One <strong>of</strong> <strong>the</strong> important issues in a climate policy regime is <strong>the</strong><br />
extent <strong>of</strong> participation :<br />
- “Free riding” reduces <strong>the</strong> effectiveness <strong>of</strong> a policy<br />
- Free riding makes o<strong>the</strong>r countries angry and gives <strong>the</strong>m an<br />
excuse not to participate.<br />
<strong>The</strong> excess costs <strong>of</strong> participation can be estimated as:<br />
(2) E(π) ≈ π 1-β<br />
where π is <strong>the</strong> participation rate and β <strong>the</strong> convexity <strong>of</strong> <strong>the</strong> cost<br />
function.<br />
25
Cost (as fraction <strong>of</strong> 100% participation)<br />
10<br />
9<br />
8<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
Normalized cost as function <strong>of</strong> participation rate<br />
Top down studies<br />
Bottom up studies<br />
1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1<br />
Participation rate<br />
Source: IPCC, Fourth Assessment Report, Summary <strong>of</strong> Mitigation Cost<br />
Models.
Attrition <strong>of</strong> Kyoto Protocol: share <strong>of</strong> global emissions<br />
27
10<br />
Penalty <strong>of</strong> non-participation in Kyoto Protocol<br />
Cost (as fraction <strong>of</strong> 100% participation)<br />
9<br />
8<br />
7<br />
6<br />
5<br />
4<br />
3<br />
2<br />
1<br />
0<br />
Original design<br />
Current participation<br />
Source: Question <strong>of</strong> Balance 28
3. Major Policy Approaches <strong>for</strong> <strong>Global</strong> <strong>Warming</strong><br />
• Internationally harmonized carbon tax – economist’s<br />
ideal.<br />
• Universal cap and trade – close second if well designed,<br />
but Kyoto Protocol is not doing well.<br />
____________________________________________<br />
• Regulatory substitutes (CAFE standards, ban on light<br />
bulbs, …) – very inefficient approaches<br />
• Voluntary measures (carbon <strong>of</strong>fsets) are difficult to<br />
calculate and verify and probably a useless diversion.<br />
29
Harmonized Carbon Taxes<br />
What are “harmonized carbon taxes”?<br />
• Raise fossil fuel prices proportional to carbon content<br />
• All countries would target a comparable tax<br />
• Level <strong>of</strong> tax set to meet environmental target<br />
• Use consumption basis <strong>for</strong> tax<br />
Many advantages over cap and trade (see slide below)<br />
30
Cap and trade v. carbon taxes<br />
1. <strong>The</strong> fundamental defect <strong>of</strong> most quantity regimes is <strong>the</strong> LACK OF<br />
CONNECTION between targets (emissions) and objective (climate or<br />
damages).<br />
2. QUANTITY LIMITS TROUBLESOME in a world <strong>of</strong> differential<br />
economic growth and uncertain technological change.<br />
3. Because <strong>of</strong> structure <strong>of</strong> uncertainty <strong>for</strong> stock pollutant, emissions taxes<br />
are MORE EFFICIENT than quantitative standards or auctionable<br />
quotas. (Weitzman)<br />
4. Quantity-type regulations show EXTREMELY VOLATILE PRICES <strong>for</strong><br />
<strong>the</strong> trading prices <strong>of</strong> carbon emissions (see slide).<br />
31
Price volatility <strong>of</strong> emissions permits<br />
12.0<br />
8.0<br />
Price oil<br />
Price SO2 allowances<br />
S&P 500<br />
Price (May 1994=1)<br />
4.0<br />
2.8<br />
2.0<br />
1.6<br />
1.2<br />
0.8<br />
0.4<br />
94 95 96 97 98 99 00 01 02 03 04 05<br />
32
Cap and trade v. carbon taxes<br />
5. Tax-type mechanisms or auctions have advantage because <strong>the</strong>y raise<br />
revenues and have potential <strong>for</strong> REDUCING DEAD-WEIGHT LOSS OF<br />
TAXATION.<br />
6. Quantity-type systems with international trading are much more<br />
SUSCEPTIBLE TO CORRUPTION than price-type regimes.<br />
7. <strong>The</strong> international cap and trade is a RADICAL AND UNPROVEN<br />
APPROACH, whereas taxes have been used in every country <strong>of</strong> <strong>the</strong><br />
world.<br />
All <strong>the</strong>se emphasize <strong>the</strong> difficulty <strong>of</strong> reaching an effective and efficient<br />
mechanism <strong>for</strong> global public goods.<br />
33
Final thoughts<br />
ankind in spite <strong>of</strong> itself is<br />
nducting a great geophysical<br />
periment, unprecedented in<br />
man history.”<br />
Roger Ravelle (1957)<br />
34