EC330 AT W4: Adaptation

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13 Terms

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What is adaptation?

Adjustment in natural or human systems in response to actual or expected climatic stimuli, which moderates harm or exploits beneficial opportunities

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Why is adaptation important?

can account for the costs and benefits to estimate damage functions

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Adaptation channels

Technology adoption and improved practices

  • air conditioning moderates temperature-mortality relationship

  • agricultural improvements

    • improved seed varieties

    • irrigation

    • crop diversification

    • crop planting dates

Job switching and migration

Production network decisions

Financial arrangements and products

Government policies

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Costs of technology adoption and improved practices

  • Costs of technologies/learning: High upfront costs or complexity might limit adoption.

  • Lab vs. field performance: Technologies that work in experimental settings might not be as effective in real-world conditions.

  • Mean vs. variance trade-offs: Some technologies might increase average yields but also increase risk.

  • Equity implications: New technologies may not be equally accessible, potentially widening inequalities.

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Implications of job switching and migration

  • Comparative advantage: As workers switch sectors or locations, regions or countries may specialize differently based on new environmental constraints.

  • Sorting: Climate impacts may lead to different demographic or skill-based sorting across regions (e.g. younger or more skilled workers moving away from vulnerable areas).

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Production network decisions

Spatial Organization of Firms

Firms adjust where they locate their operations in response to climate risk

Network Linkages and Firm-Level Adaptation

Firms adapt by changing who they do business with, especially when suppliers are climate-exposed.

Sophisticated Firm-Level Adaptive Adjustments

Firms don't just move; they adapt across multiple dimensions.

  • Pakistani firms affected by floods adapt by:

    • Relocating to less flood-prone areas

    • Diversifying and choosing more resilient suppliers

    • Using transportation routes less vulnerable to flooding

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Financial arrangements and products

Risk Sharing

  • Communities share resources to buffer income shocks (e.g. through informal lending or mutual support).

    • Limitation: Less effective when everyone is affected simultaneously, as in aggregate climate shocks (e.g. widespread flooding).

Weather-Based Insurance

  • Insurance payouts are triggered by weather conditions (e.g. lack of rainfall), not by direct losses.

    • Issue: Adoption is low, especially in poor or vulnerable areas because:

      • Premiums are seen as too expensive (price sensitive)

      • There may be a lack of trust or understanding of how it works.

Access to Capital Improves Resilience

  • Helps people and firms recover faster after a shock

Liquidity Guarantees

  • Promises of financial support before a disaster occurs encourage more investment (ex-ante) and enable better recovery afterward (ex-post smoothing).

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Examples of government policies

Social Protection

  • Workfare programs

    • aim to provide income support and infrastructure development to vulnerable populations.

Connectivity

  • Transport and market access

    • help communities access markets, healthcare, and emergency support, improving resilience and recovery after climate shocks.

Policies Mitigating Temperature-Mortality

  • Banking expansion (Burgess et al., 2017): Increases financial inclusion, allowing people to save and borrow in times of distress.

  • Last-mile healthcare delivery (Banerjee & Maharaj, 2020): Ensures even remote communities can access healthcare during extreme heat or natural disasters.

Cash Transfers

  • Conditional cash transfers tied to training can enhance long-term resilience.

  • Pre-disaster cash transfers help households prepare before a shock hits, reducing damage and recovery costs.

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Challenges for government to implement policies

  • Short-term vs. long-term trade-offs: Some investments may not show immediate results but are essential for long-term adaptation.

  • Political economy issues: Policies may be hard to implement in politically unstable or highly unequal environments.

  • Coordination: Difficulties aligning actions between local and national levels.

  • Flexibility: Policies must remain adaptable as climate patterns evolve

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Structural modelling of adaptation challenges

Estimates of climate damages are often based on current conditions.

  • Effect of temperature increases on current crops

  • Effect of sea level rise on current populations

However, in reality, the consequences of climate change will depend on dynamic adjustments

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Solutions in modelling adaptation

use general equilibrium models to incorporate such changes into forecasts of climate changes

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Advantages of using structural general equilibrium models to estimate impacts of future climate change

  • Beyond Reduced Form:
    Structural models are not limited to in-sample variability, unlike reduced-form models. This makes them better suited for counterfactual and policy analysis.

  • Handle General Equilibrium Effects:
    can account for economy-wide feedback loops and interactions, which are often missed in simpler models.

  • Dynamic Adjustment Over Time:
    can capture how economic agents adjust over long time horizons, which is useful for analyzing policies with long-term effects.

  • Welfare Analysis:
    Essential when evaluating the welfare impacts of actual and hypothetical (counterfactual) policy scenarios.

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Disadvantages of structural general equilibrium model

  1. Strong Assumptions:
    Often depend on rigid functional forms and fixed parameter values, which may not hold in reality.

  2. Long-Term Complexity:
    Projecting over long horizons increases uncertainty and can make results sensitive to assumptions.

  3. Endogenous Policy Reaction:
    It's difficult to predict how future policies might respond to the economy or to the model's predictions, making forecasting and simulation more complex.