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Stéphane Hallegatte ENM, Toulouse and CIRED, Paris With M. Ghil, P. Dumas, J.-C. Hourcade Endogenous Business Cycles and the Economic Response to Natural Disasters Business cycles and extreme events interactions Business cycles are interesting on their own

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Endogenous Business Cycles and the Economic Response to Natural Disasters


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st phane hallegatte enm toulouse and cired paris with m ghil p dumas j c hourcade
Stéphane Hallegatte

ENM, Toulouse and CIRED, Paris

With M. Ghil, P. Dumas, J.-C. Hourcade

Endogenous Business Cycles and theEconomic Response to Natural Disasters
business cycles and extreme events interactions
Business cycles and extreme events interactions
  • Business cycles are interesting on their own
  • For extreme events consequences, one have to take into account preexisting economic situation, including disequilibriums
the real cycle theory
The « real » cycle theory
  • From Slutsky (1927) and Frisch (1933)‏
  • First proposed by Kydland and Prescott (1982)‏

Business cycles and economic fluctuations arise from exogenous shocks:

      • Changes in productivity
      • Changes in energy prices
      • Fiscal shocks
  • Aside from these exogenous shocks, the economic system is stable
what does rbc theory assume
What does RBC theory assume ?
  • Perfect markets : questionable, especially for labor market over a few quarters
  • No non-voluntary unemployment
  • Rational expectations
  • No role of quantities (e.g. aggregated demand)‏

(contrary to observations; Gali, 1999, 2004)‏

  • Link with observable productivity shocks ?
endogenous business cycles an alternative to real business cycles
Endogenous business cycles:an alternative to real business cycles?
  • In EBC models, cyclical behavior originates from endogenous instabilities in the economic system
  • It does not mean that exogenous shocks do not play any role in economic fluctuations
nedym non equilibrium dynamic model
NEDyM (Non-equilibrium Dynamic Model)
  • Represents an economy with one producer, one consumer, one good to consume and invest.
  • Developed from the Solow (1956) model, all equilibrium constraints are replaced by dynamic relationships with adjustment delays
  • NEDyM equilibrium is neo-classical and identical to the Solow model’s one.
  • Because of market adjustment delays, NEDyM dynamics exhibit keynesian features along transients trajectory in response to shocks.
distribution between physical investments and dividends
Distribution between physical investments and dividends
  • Managerial regime (Berle and Means, 1932):
  • the producer invests in all projects, up to a fixed level of profitability.
  • The remaining part of available liquidities are redistributed.
slide12

inv = 1.7

inv = 2.5

slide13

inv = 10

inv = 20

interpretation of the instability
Interpretation of the instability
  • Business cycles originate from the profit-investment relationship. Oscillations with a 5.5-year period.

higher profits > more investment > more demand > higher profits

  • Business cycles constrained by 3 processes:
    • Increase in labor costs when employment is high
    • Constraints in production and inflation in goods prices when demand increases too rapidly
    • Financial constraints on investment
  • A small additional instability arises from the interaction of labor market and goods inventory (oscillations with a 300-day period)‏
endogenous dynamics an alternative explanation for business cycles17
Endogenous dynamics: an alternative explanation for business cycles
  • Harrod (1939): differences between population growth and labor demand causes unstability
  • Solow (1956): capital/labor substitution makes economy stable
    • even with capital/labor substitution (Cobb-Douglas production function),
    • even with neoclassical equilibrium,
    • adjustment delays in markets (goods, labor, capital) can cause endogenous economic fluctuations, without exogenous shocks
  • Good ability to reproduce some stylized facts: cycle period, cycle asymmetry, variable correlations (e.g. output and inflation)‏
slide20

Part II

The economic consequences ofextreme events

why to look at extreme events in the context of climate change
Why to look at extreme eventsin the context of climate change?

Natural disasters are an important part of the climate change issue:

  • Because of natural variability, climate change might appear more through changes in the distribution of extremes than through changes in mean conditions.
  • Because mild changes in means can lead to large changes in extremes and because the cost of extremes is strongly non-linear with respect to their intensity
extreme events cannot be averaged
Extreme events cannot be averaged
  • Some economic models take natural disaster costs into account through decreases in mean productivity.
  • But natural disasters are rather a series of shocks that destroy productive capital.
  • This is equivalent only if the impact of disasters can be averaged over long periods, i.e., if impacts are linear, which is not the case.
how to look at extreme events
How to look at extreme events?
  • If disasters are modeled through capital destructions:
    • Using long-term growth model is impossible: development of a disequilibrium model of economic growth (NEDyM model)‏
    • Using a classical production function leads to underestimated impacts on production (because of decreasing returns)‏
    • Accounting for financial and technical constraints on the reconstruction pace is necessary to reproduce the observed response to past disasters over the short-term.
using a classical production function would introduce a bias
Using a classical production function would introduce a bias

Decreasing returns  when labor is fixed, capital is less and less efficient, because the most efficient investments are realized first

If x% of capital is destroyed, production is reduced by less than x%

a modified production function
A modified production function

Investing less is not equivalent to having some productive capital destroyed by a disaster

We introduce:

K0 = potential capital (no disaster)‏

K = portion of destroyed capital

Effective capital : K = (1-K) K0

Modified production function:

Y = (1-K) ALK0(1-)‏

With this function, when x% of productive capital is destroyed,

production is reduced by x%

modeling short term constraints
Modeling short-term constraints

Without taking into account short-term constraints: reconstruction is carried out in a couple of month, even for large-scale events

At odds with observations (1999 winter storm over France, 2002 floods in central Europe, Katrina)‏

Technical constraints:

  • availability of qualified workers, reconstruction organization, on-site accomodation of workers, material transportation and availability
  • Financial constraints (mostly developing countries):

We introduced a limitation of reconstruction investments at fmax percent of total investments (calibrated on the length of the reconstruction period):

Ir < fmax I

long term consequences on economic growth
Long-term consequences on economic growth

Here also, the average loss depends on the event characteristics and on reconstruction capacity

long term consequences on economic growth natural disasters and bifurcation in losses
Long-term consequences on economic growth Natural disasters and bifurcation in losses

From Hallegatte et al. (2007, Ecological Economics)‏

Index of disaster frequency and intensity

Index of reconstruction capacity

The impact of a series of events is not the sum of the event impacts.

a macroeconomic feedback interaction between intrinsic dynamics and shocks
A macroeconomic feedback ?Interaction between intrinsic dynamics and shocks

Recession

Expansion

From Hallegatte and Ghil (2007)‏

a macroeconomic feedback interaction between intrinsic dynamics and shocks30
A macroeconomic feedback ? Interaction between intrinsic dynamics and shocks

Recession

Expansion

Limited losses if the disaster affects an economy in recession

From Hallegatte and Ghil (2007)‏

a macroeconomic feedback interaction between intrinsic dynamics and shocks31
A macroeconomic feedback ?Interaction between intrinsic dynamics and shocks

Recession

Expansion

Large losses if the disaster affects an economy in expansion

A vulnerability paradox: growing economies are more vulnerable !

From Hallegatte and Ghil (2007)‏

variability and vulnerability
Variability and vulnerability

The cost of the current distribution of natural disasters strongly

depends on economic characteristics.

slide33

Long-term consequences on economic growth « positive » feedback and poverty traps

Limited reconstruction capacity

Long reconstruction period after each disaster

« Positive » feedback

Limited economic development

Possibility of

poverty trap

Large cost of natural disasters

Impossibility to increase the infrastructure and capital stocks

Disasters can be a significant obstacle to economic growth and development