The book illustrates the use of spatial econometric models to analyze the economic resilience of regions to climate-related shocks. Although climate change is a global externality, climate anomalies can trigger locally disruptive shocks, whose adverse effects on economic growth are transmitted through neighbouring relationships (based on geography, trade, or technological bonds).
After laying out the theoretical case for spatial analysis in the study of economic resilience, the book introduces spatial econometric models, their estimation and testing procedures, as well as applications of spatial econometrics in various domains. It then reviews the current literature on the role of space in the propagation of climate shocks, and discusses how adaptation and mitigation policies can leverage spatial dependencies, with a special focus on renewable energy technologies and agricultural productivity. It appeals to scholars of regional and spatial sciences and econometrics as well as those interested in the spatial effects of climate and environmental shocks.
Author(s): Rita De Siano, Valerio Leone Sciabolazza, Alessandro Sapio
Series: SpringerBriefs in Regional Science
Publisher: Springer
Year: 2020
Language: English
Pages: 124
City: Cham
Acknowledgements
Contents
1 Introduction
References
2 Economic Resilience and Regional Disparities: The Value Added of Spatial Analysis
2.1 Origin and Evolution of the Concept of Economic Resilience
2.2 Regional Economic Resilience
2.2.1 Engineering, Ecological and Evolutionary Resilience
2.3 Regional Economic Resilience to the Great Recession
2.4 Regional Resilience to Climate-Related Emergencies and Disasters
2.5 Resilience Measurement and Empirical Strategies
2.6 A Prime Overview of Spatial Dependence in Regional Economic …
References
3 Spatial Econometric Models: Theory
3.1 Introduction to Spatial Analysis
3.2 Modelling Space
3.3 Exploratory Spatial Data Analysis
3.4 Spatial Econometrics Models
3.4.1 Cross-Section Models
3.4.2 Panel Data Models
3.4.3 Specification Tests
3.4.4 Estimation Approaches
References
4 A Tutorial on Modelling Geographic, Economic and Social Interactions Using GIS Methods with R
4.1 Introduction
4.2 Chapter Overview
4.3 Load Data and Software Packages
4.4 Working with Coordinates
4.5 Modelling Spatial Interactions
4.5.1 Contiguity-Based Adjacency Matrices
4.5.2 Distance-Based Adjacency Matrices
4.5.3 K-Nearest-Neighbour Weights Matrix
4.6 Modelling Social Interactions
4.6.1 Creating and Plotting an Edgelist
4.6.2 Creating and Plotting Network Data
4.7 Spatial Tests for Autocorrelation
4.7.1 The Join Count Test
4.7.2 The Global Moran's I Test
4.7.3 The Global Geary's c Test
4.7.4 Local Moran's I Test
4.8 Conclusions
References
5 Resilience to Climate Change: Spatial Ricardian Analysis
5.1 Introduction
5.2 Measurement Issues
5.3 Spatial Ricardian Models
5.4 Estimates of Spatial Climate Spillovers on Land Value
5.5 Outlook and Conclusion
5.5.1 Resilience, Adaptation and Mitigation
5.5.2 Econometric and Simulative Impact Assessment: From Competition to Cooperation
References
6 Resilience to Climate Impacts and Spatial Propagation in the Power Industry
6.1 Introduction
6.2 Econometric Specification Issues
6.3 Power Demand and the Resilience of Power Systems
6.3.1 Resilience of a Power Market to Structural Change in Power Demand
6.3.2 Literature Review
6.4 The Adoption of Renewable Energy Technologies
6.4.1 Theoretical Insights
6.4.2 Literature Review
6.5 Conclusion
References
7 Conclusion and Open Issues
References
