ADAPTATION TO CLIMATE CHANGE AND ECONOMIC GROWTH IN DEVELOPING - - PowerPoint PPT Presentation

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ADAPTATION TO CLIMATE CHANGE AND ECONOMIC GROWTH IN DEVELOPING - - PowerPoint PPT Presentation

ADAPTATION TO CLIMATE CHANGE AND ECONOMIC GROWTH IN DEVELOPING COUNTRIES ANTONY MILLNER & SIMON DIETZ GRANTHAM RESEARCH INSTITUTE LONDON SCHOOL OF ECONOMICS STYLIZED FACTS Developing countries, particularly in sub-Saharan Africa, are


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ADAPTATION TO CLIMATE CHANGE AND ECONOMIC GROWTH IN DEVELOPING COUNTRIES

ANTONY MILLNER & SIMON DIETZ GRANTHAM RESEARCH INSTITUTE LONDON SCHOOL OF ECONOMICS

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STYLIZED FACTS

Developing countries, particularly in sub-Saharan Africa, are highly vulnerable to climate change:

  • Geographic location
  • High sensitivity (e.g. share of GDP in agriculture)
  • Low adaptive capacity (e.g. finance, institutions, information)

Even if (and that’s a BIG “if”) we get effective mitigation, climate change will occur due to long residence time of atmospheric CO2.

Macro & Climate, LSE , Dec. 2012

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THIS PAPER IN A NUTSHELL

How should developing countries adapt to climate change?

  • “Development is the best form of adaptation” – i.e. invest as usual in

productive capital

  • “Development is contingent on adaptation” – i.e. invest to ‘climate-proof’

productive capital

Towards adjudicating between these positions, we:

  • Construct a fully dynamic, easy to interpret, analytical model of

adaptation as an investment problem at the macro level

  • Apply the model empirically to Sub-Saharan Africa, with extensive

sensitivity analysis

We find that in most contingencies it will be optimal to grow the stock of adaptive capital rapidly over the next 50 years.

Macro & Climate, LSE , Dec. 2012

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MODEL SETUP

Modified Ramsey-Cass-Koopmans growth model (cf. DICE) Two capital stocks

  • ‘Vulnerable capital’ – productive, but damaged by CC
  • ‘Adaptive capital’ – unproductive in the absence of CC, but reduces CC

damages to vulnerable capital output

Two controls

  • Consumption/investment in vulnerable capital
  • Investment in adaptive capital

Exogenous temperature change (small developing country/ region), population and TFP Convex cost of investment in adaptive capital Captures barriers to adapting quickly such as planning costs, policy delays and corruption

Macro & Climate, LSE , Dec. 2012

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MODEL SETUP II

max

c(t),I(t)

Z T L(t)U(c(t))e−ρtdt

˙ KA = I − δAKA

Vulnerable capital KV:

˙ KV = A(t)D(KA, X(t))F(KV , L(t)) − δV KV − cL(t) − Q(I)

TFP Damages = D(Adaptive capital, Exogenous Temperature) GDP Depreciation Consumption Adaptation costs Adaptive capital KA: Social Planner’s Objective: Adaptive investment Depreciation

Macro & Climate, LSE , Dec. 2012

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INTERACTION BETWEEN ADAPTIVE CAPITAL AND CLIMATE CHANGE

Macro & Climate, LSE , Dec. 2012

All interactions are captured by the modified damage multiplier:

D(KA, X) : R+ × R+ → [0, 1]

We assume:

  • 1. D is decreasing in X (climate change is ‘bad’).
  • 2. KA unproductive in the absence of climate change (i.e. D(KA,0) = 1)
  • 3. D is increasing and concave in KA.
  • 4. “Productivity” of the marginal unit of KA is increasing in X, i.e.

∂2D ∂KA∂X > 0

Temperature Adaptive capital

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MODEL EQUATIONS

Macro & Climate, LSE , Dec. 2012

State equations: Euler equations (follow from Maximum principle): Terminal conditions: 4 dimensional coupled nonlinear system. We are interested in the transient (not steady state) regime ˙ c = c η(c) [A(t)D(KA, X(t))FKV − δV − ρ] ˙ I = Q0(I) Q00(I) [A(t)D(KA, X(t))FKV − δV + δA] − 1 Q00(I)A(t)Da(KA, X(t))F(KV , L(t)) ˙ KV = A(t)D(KA, X(t))F(KV , L(t)) − δV KV − cL(t) − Q(I) ˙ KA = I − δAKA Pick values for KV (T), KA(T)

Ramsey eqn Capital adjustment eqn: Make marginal products of KA & KV more equal, but not “too fast”.

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DEPENDENCE OF OPTIMAL INVESTMENT RULE ON CAPITAL (NO ADJUSTMENT COSTS)

Implications:

  • The strong “adapt through development” position is probably not optimal.
  • Richer economies respond proportionately less to changes in KV but may

respond proportionately more to changes in X if the damage reduction effect of a marginal unit of adaptive capital outweighs its effect on the returns to adaptive investment.

I = RX(KV , KA, X) ˙ X + RV (KV , KA, X) ˙ KV + δAKA

Macro & Climate, LSE , Dec. 2012

For simplicity, assume:

  • Q(I) = I, i.e. no adjustment costs.
  • Depreciation rates of two types of capital are equal.

Remark: Proposition:

RX is an increasing (decreasing) function of KV when ✏a,a < ✏X,a(✏a,a > ✏X,a) RV is decreasing in KV

If ˙ X > 0 and ˙ KV > 0, then I > 0 (since RV > 0 and RX > 0)

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FULL DYNAMIC SIMULATIONS FOR SUB- SAHARAN AFRICA

Why Sub-Saharan Africa?

  • Small emitter of carbon: reasonable to assume climate

change is exogenous

  • Highly vulnerable to climate change

Close the model:

  • Choose sensible functional forms for:

D(KA,X), F(KV,L), Q(I) and U(c)

  • Calibrate model parameters based on IAM literature

Note calibration takes into account:

1. Flow adaptation 2. Relationship between income and damages

Macro & Climate, LSE , Dec. 2012

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50 100 150 200 250 300 5 10 15 20 25

t Damages as % GDP

50 100 150 200 250 300 0.05 0.1 0.15 0.2 0.25 0.3 0.35 0.4

t Costs of adaptive investment as % GDP

BAU − gross BAU − residual 2CO2 − gross 2CO2 − residual 1.5CO2 − gross 1.5CO2 − residual BAU 2CO2 1.5CO2

BASE CASE : COSTS & BENEFITS

Same order of magnitude as AD-WITCH model. Damages as % GDP Investment Costs as % GDP

Macro & Climate, LSE , Dec. 2012

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WELFARE VS. CLIMATE SENSITIVITY WITH AND WITHOUT ADAPTATION

1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 5250 5300 5350 5400 5450 5500 5550 Climate Sensitivity (°C) Stationary equivalent consumption (2005 USD) BAU − adapt 2CO2 − adapt 1.5CO2 − adapt BAU − no adapt 2CO2 − no adapt 1.5CO2 − no adapt Macro & Climate, LSE , Dec. 2012

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50 100 150 200 250 300 1000 2000 3000 4000 5000 6000 t KV / KA BAU 2CO2 1.5CO2

BASE CASE: RATIO OF VULNERABLE TO ADAPTIVE CAPITAL AS FUNCTION OF TIME

(BOTH CHOSEN OPTIMALLY)

Macro & Climate, LSE , Dec. 2012

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ROBUSTNESS OF CAPITAL RATIO TRAJECTORY

The qualitative ‘U-shaped’ dependence of the capital ratio on time is robust to plausible changes in the values of: 1. Adjustment cost parameter 2. Rate of growth of TFP 3. Pure rate of time preference 4. Elasticity of Marginal Utility 5. Climate sensitivity and emissions pathway It is NOT robust to changes in: 1. An ‘Adaptation Effectiveness’ parameter 2. Initial stock of adaptive capital

Macro & Climate, LSE , Dec. 2012

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SENSITIVITY TO ADJUSTMENT COSTS:

DIFFERENCE IN GROWTH RATES OF VULNERABLE AND ADAPTIVE CAPITAL VS. ADJUSTMENT COST PARAMETER

1 2 3 4 5 x 10

−11

−0.055 −0.05 −0.045 −0.04 −0.035 q Difference in average growth rates (0−50 years) 1 2 3 4 5 x 10

−11

−9 −8 −7 −6 −5 −4 −3 −2 −1 x 10

−3

q Difference in average growth rates (50−100 years) BAU 2CO2 1.5CO2 BAU 2CO2 1.5CO2

First 50 years Second 50 years

Macro & Climate, LSE , Dec. 2012

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CAPITAL RATIO FOR LOW ADAPTATION EFFECTIVENESS

50 100 150 200 250 300 2000 4000 6000 8000 10000 12000 14000 t KV / KA BAU 2CO2 1.5CO2

Macro & Climate, LSE , Dec. 2012

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SENSITIVITY TO ADAPTATION EFFECTIVENESS

WELFARE VS. ADAPTATION EFFECTIVENESS PARAMETER

0.1 0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.3 5400 5450 5500 5550 β2 Stationary equivalent consumption (2005 USD) BAU 2CO2 1.5CO2

Macro & Climate, LSE , Dec. 2012

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CONCLUSIONS

Developed a simple, transparent model for informing policy discussions. In most plausible cases, we find that it is optimal to grow the stock of adaptive capital rapidly over the next 50 years. This conclusion is robust to changes in the values of all model parameters, except:

  • i) Effectiveness of adaptation
  • ii) Initial stock of adaptive capital (which is probably very low)

These are the parameters we should focus on pinning down empirically. Our analytics show that simple ad hoc prescriptions are almost certainly wrong: Everything depends on empirical details. Caveats: Uncertainty & Learning, Thresholds, Extreme Events, Institutions, etc., etc.

Macro & Climate, LSE , Dec. 2012

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ADDITIONAL MATERIALS

Macro & Climate, LSE , Dec. 2012

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MODEL PARAMETERS – BASE CASE CALIBRATION

Macro & Climate, LSE , Dec. 2012

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GLOBAL TEMPERATURE TRAJECTORIES

100 200 300 400 500 1 2 3 4 5 6 7 8 9 BAU t X 100 200 300 400 500 1 2 3 4 5 6 7 8 9 2CO2 t X 100 200 300 400 500 1 2 3 4 5 6 7 8 9 1.5CO2 t X S = 1.5°C S = 3°C S = 4.5°C S = 6°C

Macro & Climate, LSE , Dec. 2012

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BASE CASE RESULTS: OPTIMAL CONTROLS

50 100 150 200 250 300 2 4 6 8 10 12 14 x 10

4

t c 50 100 150 200 250 300 20 40 60 80 100 120 140 160 180 200 t I/L BAU 2CO2 1.5CO2 BAU 2CO2 1.5CO2

Consumption per capita vs. time Adaptive investment per capita vs. time

Macro & Climate, LSE , Dec. 2012

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SENSITIVITY TO ADAPTATION EFFECTIVENESS: (GV – GA)

0.1 0.15 0.2 0.25 0.3 −0.5 −0.4 −0.3 −0.2 −0.1 0.1 0.2 β2 Difference in average growth rates (0−5 years) 0.1 0.15 0.2 0.25 0.3 −0.035 −0.03 −0.025 −0.02 −0.015 −0.01 −0.005 0.005 β2 Difference in average growth rates (5−50 years) 0.1 0.15 0.2 0.25 0.3 −14 −12 −10 −8 −6 −4 −2 2 x 10

−3

β2 Difference in average growth rates (50−100 years) BAU 2CO2 1.5CO2 BAU 2CO2 1.5CO2 BAU 2CO2 1.5CO2

Macro & Climate, LSE , Dec. 2012

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SENSITIVITY TO DISCOUNT RATE: CAPITAL RATIO

0.01 0.015 0.02 0.025 0.03 0.035 200 300 400 500 600 700 800 900 1000 1100 ρ KV(50) / KA(50) 0.01 0.015 0.02 0.025 0.03 0.035 200 300 400 500 600 700 800 900 1000 1100 ρ KV(100) / KA(100) BAU 2CO2 1.5CO2 BAU 2CO2 1.5CO2 Macro & Climate, LSE , Dec. 2012