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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 STYLIZED FACTS Developing countries, particularly in sub-Saharan Africa, are


  1. ADAPTATION TO CLIMATE CHANGE AND ECONOMIC GROWTH IN DEVELOPING COUNTRIES ANTONY MILLNER & SIMON DIETZ GRANTHAM RESEARCH INSTITUTE LONDON SCHOOL OF ECONOMICS

  2. 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 CO 2 . Macro & Climate, LSE , Dec. 2012

  3. 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

  4. 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

  5. MODEL SETUP II Z T L ( t ) U ( c ( t )) e − ρ t dt max Social Planner’s Objective: c ( t ) ,I ( t ) 0 Vulnerable capital K V : Adaptation costs GDP Depreciation ˙ K V = A ( t ) D ( K A , X ( t )) F ( K V , L ( t )) − δ V K V − cL ( t ) − Q ( I ) TFP Damages = D(Adaptive capital, Exogenous Temperature) Consumption Adaptive capital K A : ˙ K A = I − δ A K A Adaptive investment Depreciation Macro & Climate, LSE , Dec. 2012

  6. INTERACTION BETWEEN ADAPTIVE CAPITAL AND CLIMATE CHANGE All interactions are captured by the modified damage multiplier: D ( K A , X ) : R + × R + → [0 , 1] Adaptive capital Temperature We assume: 1. D is decreasing in X (climate change is ‘bad’). 2. K A unproductive in the absence of climate change (i.e. D(K A ,0) = 1 ) 3. D is increasing and concave in K A . ∂ 2 D 4. “Productivity” of the marginal unit of K A is increasing in X , i.e. ∂ K A ∂ X > 0 Macro & Climate, LSE , Dec. 2012

  7. MODEL EQUATIONS State equations : ˙ K V = A ( t ) D ( K A , X ( t )) F ( K V , L ( t )) − δ V K V − cL ( t ) − Q ( I ) ˙ K A = I − δ A K A Euler equations (follow from Maximum principle): c Ramsey eq n c = ˙ η ( c ) [ A ( t ) D ( K A , X ( t )) F K V − δ V − ρ ] I = Q 0 ( I ) 1 ˙ Q 00 ( I ) [ A ( t ) D ( K A , X ( t )) F K V − δ V + δ A ] − Q 00 ( I ) A ( t ) D a ( K A , X ( t )) F ( K V , L ( t )) Capital adjustment eq n : Make marginal products of K A & K V more equal, but not “too fast”. Terminal conditions : Pick values for K V ( T ) , K A ( T ) 4 dimensional coupled nonlinear system. We are interested in the transient (not steady state) regime Macro & Climate, LSE , Dec. 2012

  8. DEPENDENCE OF OPTIMAL INVESTMENT RULE ON CAPITAL (NO ADJUSTMENT COSTS) For simplicity, assume: • Q(I) = I , i.e. no adjustment costs. • Depreciation rates of two types of capital are equal. I = R X ( K V , K A , X ) ˙ X + R V ( K V , K A , X ) ˙ K V + δ A K A If ˙ X > 0 and ˙ Remark : K V > 0 , then I > 0 (since R V > 0 and R X > 0) Proposition : R X is an increasing (decreasing) function of K V when ✏ a,a < ✏ X,a ( ✏ a,a > ✏ X,a ) R V is decreasing in K V Implications : • The strong “adapt through development” position is probably not optimal. • Richer economies respond proportionately less to changes in K V 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. Macro & Climate, LSE , Dec. 2012

  9. 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(K A ,X) , F(K V ,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

  10. BASE CASE : COSTS & BENEFITS Damages as % GDP Investment Costs as % GDP 25 0.4 BAU BAU − gross 2CO 2 BAU − residual 0.35 2CO 2 − gross 1.5CO 2 2CO 2 − residual 20 Costs of adaptive investment as % GDP 1.5CO 2 − gross 0.3 1.5CO 2 − residual Damages as % GDP 0.25 15 0.2 10 0.15 0.1 5 0.05 0 0 0 50 100 150 200 250 300 0 50 100 150 200 250 300 t t Same order of magnitude as AD-WITCH model. Macro & Climate, LSE , Dec. 2012

  11. WELFARE VS. CLIMATE SENSITIVITY WITH AND WITHOUT ADAPTATION 5550 5500 Stationary equivalent consumption (2005 USD) 5450 5400 5350 BAU − adapt 2CO 2 − adapt 1.5CO 2 − adapt BAU − no adapt 5300 2CO 2 − no adapt 1.5CO 2 − no adapt 5250 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 Climate Sensitivity ( ° C) Macro & Climate, LSE , Dec. 2012

  12. BASE CASE: RATIO OF VULNERABLE TO ADAPTIVE CAPITAL AS FUNCTION OF TIME (BOTH CHOSEN OPTIMALLY) 6000 BAU 2CO 2 1.5CO 2 5000 4000 K V / K A 3000 2000 1000 0 0 50 100 150 200 250 300 t Macro & Climate, LSE , Dec. 2012

  13. 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

  14. SENSITIVITY TO ADJUSTMENT COSTS: DIFFERENCE IN GROWTH RATES OF VULNERABLE AND ADAPTIVE CAPITAL VS. ADJUSTMENT COST PARAMETER Second 50 years First 50 years − 3 x 10 − 0.035 0 BAU Difference in average growth rates (50 − 100 years) 2CO 2 Difference in average growth rates (0 − 50 years) − 1 1.5CO 2 BAU − 2 2CO 2 − 0.04 1.5CO 2 − 3 − 4 − 0.045 − 5 − 6 − 0.05 − 7 − 8 − 0.055 − 9 1 2 3 4 5 1 2 3 4 5 q q − 11 − 11 x 10 x 10 Macro & Climate, LSE , Dec. 2012

  15. CAPITAL RATIO FOR LOW ADAPTATION EFFECTIVENESS 14000 BAU 2CO 2 12000 1.5CO 2 10000 8000 K V / K A 6000 4000 2000 0 0 50 100 150 200 250 300 t Macro & Climate, LSE , Dec. 2012

  16. SENSITIVITY TO ADAPTATION EFFECTIVENESS WELFARE VS. ADAPTATION EFFECTIVENESS PARAMETER 5550 BAU 2CO 2 Stationary equivalent consumption (2005 USD) 1.5CO 2 5500 5450 5400 0.1 0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.26 0.28 0.3 β 2 Macro & Climate, LSE , Dec. 2012

  17. 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

  18. ADDITIONAL MATERIALS Macro & Climate, LSE , Dec. 2012

  19. MODEL PARAMETERS – BASE CASE CALIBRATION Macro & Climate, LSE , Dec. 2012

  20. GLOBAL TEMPERATURE TRAJECTORIES 2CO 2 1.5CO 2 BAU 9 9 9 S = 1.5 ° C S = 3 ° C 8 8 8 S = 4.5 ° C S = 6 ° C 7 7 7 6 6 6 5 5 5 X X X 4 4 4 3 3 3 2 2 2 1 1 1 0 0 0 0 100 200 300 400 500 0 100 200 300 400 500 0 100 200 300 400 500 t t t Macro & Climate, LSE , Dec. 2012

  21. BASE CASE RESULTS: OPTIMAL CONTROLS 4 x 10 14 200 BAU BAU 2CO 2 180 2CO 2 12 1.5CO 2 1.5CO 2 160 10 140 120 8 I/L 100 c 6 80 60 4 40 2 20 0 0 0 50 100 150 200 250 300 0 50 100 150 200 250 300 t t Consumption per capita vs. time Adaptive investment per capita vs. time Macro & Climate, LSE , Dec. 2012

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