Details

Subject(s)

• Environmental economics—Handbooks, manuals, etc [Browse]

Editor

• Dasgupta, Partha [Browse]
• Pattanayak, Subhrendu K. [Browse]
• Smith, V. Kerry [Browse]

Series

Handbooks in economics. [More in this series]

Source of description

Description based on print version record.

Contents

• Front Cover
• Handbook of Environmental Economics
• Copyright
• Contents
• Contributors
• Introduction to the Series
• Preface
• 1 Modeling coupled climate, ecosystems, and economic systems
• 1 Introduction
• 2 Coupled Ecological/Economic Modeling for Robustness
• 2.1 Robust Control Methods in Coupled Ecological/Economic Systems
• 2.1.1 An Introduction to Robust Control Methods
• 2.1.2 A Deterministic Approximation to Robust Control Methods in Ecosystem Management
• 3 Climate Economics with Emphasis on New Modeling: Carbon Budgeting and Robustness
• 3.1 Cumulative Carbon Budgeting to Implement Temperature Limits
• 3.1.1 Deterministic Case: The Simplest Possible Model
• 3.1.2 Robust Emission Control with Multiplicative Uncertainty
• 3.1.3 Cumulative Carbon Budgeting and Climate Changes Damages
• 3.2 Climate Change Policy with Multiple Lifetime for Greenhouse Gases
• 4 Implementation
• 5 Energy Balance Climate Models and Spatial Transport Phenomena
• 5.1 Spatial Pattern Scaling
• 5.2 Discounting for Climate Change
• 6 Spatial Aspects in Economic/Ecological Modeling
• 7 Future Directions
• 7.1 Bottom Up Implementation Rather than Top Down Implementation
• 7.2 Stochastic Modeling and Computational Approaches
• 7.3 Bifurcations and Tipping Points
• Appendix A
• A.1 Robust Control Methods
• A.2 The Case of Additive Uncertainty
• A.3 Time Consistency Issues of Solutions to Zero Sum Robust Control Games
• A.4 Climate Change Policy with Multiple Lifetime for Greenhouse Gases
• Appendix B Spatially Extended Deterministic Robust Control Problems
• B.1 An Example
• References
• 2 Ecology and economics in the science of anthropogenic biosphere change
• 2 The Dynamics of Coupled Hierarchical Systems
• 3 Carrying Capacity and Assimilative Capacity
• 4 Resilience and Stability.
• 5 Biodiversity and the Portfolio of Natural Assets
• 6 The Value of Ecosystem Functions
• 7 Concluding Remarks
• 3 The nature of natural capital and ecosystem income
• 2 Theory of Measuring Natural Capital Shadow Prices in Real Ecological-Economic Systems
• 2.1 Conceptualizing Natural Capital
• 2.2 Derivation of Natural Capital Pricing Equations
• 2.3 Intuition About Natural Capital Prices and the Importance of Multiple Stocks and Adjustment Costs
• 2.4 Non-convexity and Non-differentiability
• 2.5 Non-autonomous and Stochastic Dynamics
• 2.6 Using Shadow Prices to Assess Sustainable Investment/Consumption
• 3 Approximators to Measure Natural Capital Shadow Prices
• 3.1 Three Ways to Approximate Shadow Prices
• 3.2 Tradeoffs Among Approximation Approaches
• 3.3 The Approximation Domain
• 3.4 Additional Numerical Considerations
• 4 The Measurement of the Economic Program and Ecosystem Income and Its Connection to Natural Capital Asset Prices
• 4.1 The Economic Program - x(s)
• 4.2 Dividends from Natural Capital - W
• 4.3 Ecosystem Income from Market Production
• 4.4 Ecosystem Income from Household Production
• 4.5 Direct Ecosystem Income
• 4.6 Accounting for Ecosystem Income
• 5 Examples and Applications to Date
• 6 Discussion and Future Challenges
• 4 Through the looking glass: Environmental health economics in low and middle income countries
• 1 The Economics of Environmental Health
• 1.1 Environmental Health in LMICs
• 1.2 Economics and Environmental Health
• 2 Choice and Behavior
• 2.1 Simple Analytics
• 2.2 Measuring Demand: Valuation (Willingness to Pay)
• 2.3 Shifting Demand: Adoption
• 2.4 Predicting Impact: Evaluation
• 3 What We Know About Environmental Health in LMICs
• 3.1 Valuing Environmental Risk Reductions.
• 3.2 Adopting Environmental Risk Reducing Technologies
• 3.3 Evaluating Environmental Health Impacts
• 4 Path Forward
• 4.1 Multiple Risks
• 4.2 Supply and Political Economy
• 4.3 Environmental Hazards and Climate Change
• 4.4 Beyond Experiments and Average Treatment Effects
• 4.5 Closing Thoughts
• 5 The farmer's climate change adaptation challenge in least developed countries
• 2 Historical and Anticipated Climate Change
• 3 Estimating the Impacts of Climate Change on LDC Agriculture
• 3.1 The Impact of Climate Change on a Farmer's Investment Decisions
• 3.2 Aggregation and General Equilibrium Effects
• 4 The Farmer Climate Adaptation Challenge
• 4.1 Income Inequality and Climate Change
• 4.2 LDC Farmer Climate Change Adaptation Opportunities
• 4.3 Rural Data Collection Needs to Accelerate Adaptation Research Progress
• 4.4 Rural to Urban Migration as an Adaptation Strategy
• 4.5 The Dimensionality of the LDC Migrant's Urban Choice Set
• 5 General Equilibrium Effects Induced by Rapid Urbanization
• 5.1 Urban Political Economy Issues Related to Climate Change Adaptation
• 5.2 The Adaptation Bene ts of LDC Urbanization
• 5.3 The Productivity of LDC Urban Firms in a Hotter World
• 5.4 Will LDC Urban Growth Signi cantly Exacerbate the Global GHG Externality Challenge?
• 5.5 Research Needs
• 6 Conclusion
• 6 Selection and design of environmental policy instruments
• 1 The Need for Policy
• 2 Policy Failures
• 3 The Menu of Instruments
• 3.1 Price-Type Instruments
• 3.2 Rights-Based Policies
• 3.3 Regulation
• 3.4 Information or Legal-Based Policies
• 3.5 The Process of Policy Making at National or Other Levels
• 4 The Selection of Instruments
• 4.1 Ef ciency
• 4.2 Information Asymmetries and Uncertainty
• 4.3 Intertemporal Ef ciency
• 4.4 Spatial Ef ciency.
• 4.5 Practical and Political Aspects
• 4.6 Normative Principles, Distributional Aspects, and Environmental Justice
• 5 Selected Examples
• 5.1 Taxing Carbon
• 5.1.1 Effects of CO2 Taxation
• 5.2 Taxing (and Subsidizing) Transport Fuel
• 5.3 Cap and Trade Schemes
• 5.4 Refunding Emission Payments
• 5.5 Regulation Versus Taxation: The Example of a Hazardous Chemical
• 5.6 Policies to Modify Behavioral Norms
• 6 Designing Policies for the Anthropocene
• 6.1 An Expansion of Geographic and Political Scope
• 6.2 Signi cant Extension in Time-Scale
• 6.3 Signi cant Extension of the Number of Pollutants and Scienti c Complexity
• 6.4 Equity, Ethics, Risk, Uncertainty, and Governance
• 7 Quasi-experimental methods in environmental economics: Opportunities and challenges
• 2 The Lindahl-Samuelson Condition
• 2.1 A Model of Optimal Public Good Provision
• 2.2 Estimating the Lindahl-Samuelson Condition: Measurement Challenges
• 2.3 Estimating the Lindahl-Samuelson Condition: Identi cation Challenges
• 3 The Standard Quasi-Experimental Approach
• 3.1 Background
• 3.2 Potential Outcomes Framework
• 3.3 Three Quasi-Experimental Methods
• 4 The Quasi-Experimental Approach for Public Goods
• 4.1 Distinguishing Public Good Source and Exposure
• 4.2 A Potential Outcomes Framework for Public Goods
• 4.3 Two Quasi-Experimental Estimators in the Literature
• 4.3.1 Average Source Effect Estimator
• 4.3.2 Average Exposure Effect Estimator
• 4.4 An Unbiased Estimator for Local Public Goods
• 4.5 Illustrative Simulations
• 5 Literature Review
• 5.1 Publication Trends
• 5.2 A Selected Review of Average Source Effect Estimates
• 5.3 A Selected Review of Average Exposure Effect Estimates
• 5.4 A Selected Review of Marginal Cost Estimates
• 6 Moving Forward
• 6.1 What To Do with Local Public Goods.
• 6.2 What To Do with Global Public Goods
• 7 Conclusion
• 8 Environmental macroeconomics: The case of climate change
• 2 The Neoclassical Growth Model: Why and How?
• 2.1 Empirical Underpinnings: Long-Run Facts
• 2.2 Quantitative Theory
• 2.2.1 The Setting
• 2.2.2 Market Equilibrium and Calibration
• 2.2.3 Uncertainty
• 2.3 Energy Resources
• 2.3.1 Energy Demand
• 2.3.2 Energy Supply
• 2.3.3 Equilibrium
• 3 The Natural-Science Add-Ons
• 3.1 The Carbon-Cycle Module
• 3.2 The Climate Module
• 3.3 Constant Carbon-Climate Response
• 4 Damages
• 5 A Complete, Quantitative IAM
• 5.1 The Planning Problem
• 5.2 Market Equilibrium
• 5.3 Model Solution
• 5.3.1 Analytical vs. Numerical Model Solution
• 5.3.2 How-to
• 5.4 The Social Cost of Carbon
• 5.5 A Mickey-Mouse Model? Quantitative Analytical IAMs
• 5.5.1 The Pigou Tax in the Quantitative Analytical IAM
• 5.5.2 Quantitative Results from the Positive Model
• 6 Extensions
• 6.1 Endogenous Technical Change
• 6.2 Multi-Region Modeling
• 6.2.1 Leakage
• 9 Causal inference in environmental conservation: The role of institutions
• 2 Average Treatment Effects of Institutions
• 2.1 Instruments
• 2.2 Methods
• 2.3 Findings
• 3 Institutional Insights for Causal Models
• 3.1 Causal Diagrams
• 3.2 Institutions as Determinants of Assignment
• 3.3 Heterogeneous Institutional Treatments
• 3.4 Institutions as Moderators
• 3.5 Institutions as Mechanisms
• 4 Summary and Future Directions
• 10 Uncertainty and ambiguity in environmental economics: conceptual issues
• 1.1 Uncertainty and Climate Policy
• 1.2 Uncertainty and Biodiversity
• 2 Alternatives to Expected Utility
• 2.1 Probabilities and Con dence
• 2.2 Formal Development.
• 2.3 Is Ambiguity Aversion Rational?.

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ISBN

• 0-444-53773-2
• 0-444-53772-4

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