- Series Information
- List of Contributors
- Introduction: Land as an Integrating Theme in Economics
- Integrating Regional Economic Development Analysis and Land Use Economics
- Technology Adoption and Land Use
- Are Large Metropolitan Areas Still Viable?
- Modeling the Land Use Change with Biofuels
- Modeling the Determinants of Farmland Values in the United States
- Land Use and Sustainable Economic Development: Developing World
- The Economics of Wildlife Conservation
- Connecting Ecosystem Services to Land Use: Implications for Valuation and Policy
- Land Use and Climate Change
- Land Use, Climate Change, and Ecosystem Services
- Fire: An Agent and a Consequence of Land Use Change
- Land Use and Municipal Profiles
- An Assessment of Empirical Methods for Modeling Land Use
- Equilibrium Sorting Models of Land Use and Residential Choice
- Landscape Simulations with Econometric-Based Land Use Models
- An Economic Perspective on Agent-Based Models of Land Use and Land Cover Change
- Spatial Econometric Modeling of Land Use Change
- Using Quasi-Experimental Methods to Evaluate Land Policies: Application to Maryland’s Priority Funding Legislation
- Applying Experiments to Land Economics: Public Information and Auction Efficiency in Ecosystem Service Markets
- Open Space Preservation: Direct Controls and Fiscal Incentives
- Land Conservation in the United States
- European Agri-Environmental Policy: The Conservation and Re-Creation of Cultural Landscapes
- Agri-Environmental Policies: A Comparison of US and EU Experiences
- Stigmatized Sites and Urban Brownfield Redevelopment
- Regulatory Takings
- Eminent Domain and the Land Assembly Problem
- Future Research Directions in Land Economics
- Subject Index
Abstract and Keywords
Econometric-based landscape simulation models help to identify the nature and extent of market failure problems associated with terrestrial biodiversity and to quantify the effects of corrective land use policies. This article reviews the literature on econometric-based landscape simulation models and describes four important methodological challenges that analysts face with these models: (1) representing variation in private economic returns to land at the same scale at which land use varies, (2) modeling the private information that landowners possess about the returns to their land, (3) accounting for land use intensity, and (4) recognizing the probabilistic nature of the land use transition rules derived from econometric analysis. Ways to overcome these challenges are proposed, and directions for future research are explored.
Andrew J. Plantinga is Professor of Natural Resource Economics and Policy in the Bren School of Environmental Science and Management at University of California, Santa Barbara.
David J. Lewis is Associate Professor of Applied Economics at Oregon State University.
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