Abstract
Environmental and natural resource economics has long wrestled with spatial elements of human behavior, biophysical systems, and policy design. The treatment of space by academic environmental economists has evolved in important ways over time, moving from simple distance measures to more complex models of spatial processes. This chapter presents knowledge developed in several areas of research in spatial environmental and natural resource economics. First, it discusses the role played by spatial heterogeneity in designing optimal land conservation policies and efficient incentive policies to control pollution. Second, it describes the role space plays in nonmarket valuation techniques, especially hedonic and travel cost approaches, which inherently use space as a means to identify values of nonmarket goods. Third, it explains a set of quasi- or naturalexperimental empirical methods which use spatial shocks to estimate the effects of pollution or environmental policy on a wide range of outcomes such as human health, employment, firm location decisions, and deforestation. Finally, it describes spatial models of human behavior including locational sorting and the interaction of multiple agents in a land use/conservation setting. The chapter ends with a discussion of some promising future areas for further evolution of the incorporation of space in environmental economics.
Original language | English (US) |
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Title of host publication | Handbook of Regional Science |
Subtitle of host publication | Second and Extended Edition: With 238 Figures and 78 Tables |
Publisher | Springer |
Pages | 1415-1434 |
Number of pages | 20 |
ISBN (Electronic) | 9783662607237 |
ISBN (Print) | 9783662607220 |
DOIs | |
State | Published - Jan 1 2021 |
Keywords
- Environmental amenity
- Hedonic model
- Housing price
- Marginal damage
- Spatial spillover
ASJC Scopus subject areas
- General Economics, Econometrics and Finance
- General Business, Management and Accounting
- General Earth and Planetary Sciences
- General Social Sciences