- 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
This chapter provides a targeted review and assessment of current empirical methods most commonly used in economics to model spatially explicit land use and land use change. Empirical models are broadly defined as those that use data on land use and the underlying demand and supply processes to specify model parameters in some way. Four main types of modeling methods are considered: reduced-form econometric, structural econometric, spatial equilibrium simulation, and agent-based simulation. Key strengths and weaknesses of each method are discussed, and the applicability of each method for answering various research questions, including policy scenarios, is illustrated with a few recent examples from the literature. The chapter concludes with a discussion of potential complementarities among these various approaches and several critical research gaps.
Elena G. Irwin is Professor in the Department of Agricultural, Environmental, and Development Economics at the Ohio State University.
Douglas H. Wrenn is Assistant Professor in the Department of Agricultural Economics, Sociology, and Education at the Pennsylvania State University.
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