Skip to main content

Spatial Environmental and Natural Resource Economics

  • Living reference work entry
  • First Online:
  • 126 Accesses

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 natural-experimental 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.

This is a preview of subscription content, log in via an institution.

References

  • Albers HJ, Robinson EJZ (2013) A review of the spatial economics of non-timber forest product extraction: implications for policy. Ecol Econ 92:87–95

    Article  Google Scholar 

  • Alix-Garcia JM, Shapiro EN, Sims KRE (2012) Forest conservation and slippage: evidence from Mexico’s national payments for ecosystem services program. Land Econ 88(4):613–638

    Article  Google Scholar 

  • Ando A, Howlader A, Mallory M (2018) Diversifying to reduce conservation outcome uncertainty in multiple environmental objectives. J Agric Resour Econ 47(2):220–238

    Article  Google Scholar 

  • Anselin L (2002) Under the hood: issues in the specification and interpretation of spatial regression models. Agric Econ 27(3):247–267

    Article  Google Scholar 

  • Avelino A, Baylis K, Honey-Rosés J (2016) Goldilocks and the raster grid: choosing a unit of analysis for evaluating conservation programs. PLoS One 12(11):e0167945

    Article  Google Scholar 

  • Banzhaf S, Ma L, Timmins C (2019) Environmental justice: the economics of race, place, and pollution. J Econ Perspect 33(1):185–208

    Article  Google Scholar 

  • Belloni A, Chernozhukov V, Hansen C (2014) High-dimensional methods and inference on structural and treatment effects. J Econ Perspect 28(2):29–50

    Article  Google Scholar 

  • Bishop KC, Murphy AD (2011) Estimating the willingness to pay to avoid violent crime: a dynamic approach. Am Econ Rev Pap Proc 101(3):625–629

    Article  Google Scholar 

  • Champ PA, Boyle KJ, Brown TC (eds) (2017) A primer on nonmarket valuation, The economics of non-market goods and resources, vol 13. Springer, Dordrecht

    Google Scholar 

  • Chen Z, Kahn ME, Liu Y, Wang Z (2018) The consequences of spatially differentiated water pollution regulation in China. J Environ Econ Manag 88:468–485

    Article  Google Scholar 

  • Cheng SH, Ahlroth S, Onder S, Shyamsundar P, Garside R, Kristjanson P, Mckinnon MC, Miller DC (2019) A systematic map of evidence on the contribution of forests to poverty alleviation. Environ Evid 8(3):1–22

    Google Scholar 

  • Donaldson D, Storeygard A (2016) The view from above: applications of satellite data in economics. J Econ Perspect 30(4):171–198

    Article  Google Scholar 

  • Glenk K, Johnston RJ, Meyerhoff J, Sagebiel J (2019) Spatial dimensions of stated preference valuation in environmental and resource economics: methods, trends and challenges. Environ Resour Econ. https://doi.org/10.1007/s10640-018-00311-w

  • Graff-Zivin J, Neidell M (2013) Environment, health and human capital. J Econ Lit 51(3):689–730

    Article  Google Scholar 

  • Hanna R, Oliva P (2015) The effect of pollution on labor supply: evidence from a natural experiment in Mexico City. J Public Econ 122:68–79

    Article  Google Scholar 

  • Jayachandran S, de Laat J, Lambin EF, Stanton CY, Audy R, Thomas NE (2017) Cash for carbon: a randomized trial of payments for ecosystem services to reduce deforestation. Science 357(6348):267–273

    Article  Google Scholar 

  • Joppa L, Pfaff A (2010) Reassessing the forest impacts of protection: the challenge of nonrandom location and a corrective method. Ann N Y Acad Sci 1185:135–149

    Article  Google Scholar 

  • Kaiser BA, Burnett KM (2010) Spatial economic analysis of early detection and rapid response strategies for an invasive species. Resour Energy Econ 32(4):566–585

    Article  Google Scholar 

  • Klaiber HA, Phaneuf DJ (2010) Valuing open space in a residential sorting model of the Twin Cities. J Environ Econ Manag 60(2):57–77

    Article  Google Scholar 

  • Kroetz K, Sanchirico JN (2015) The bioeconomics of spatial-dynamic systems in natural resource management. Ann Rev Resour Econ 7(1):189–207

    Article  Google Scholar 

  • Kuminoff NV, Smith VK, Timmins C (2013) The new economics of equilibrium sorting and policy evaluation using housing markets. J Econ Lit 51(4):1007–1062

    Article  Google Scholar 

  • Kuwayama Y, Brozović N (2013) The regulation of a spatially heterogeneous externality: tradable groundwater permits to protect streams. J Environ Econ Manag 66(2):364–382

    Article  Google Scholar 

  • Lawley C, Yang W (2015) Spatial interactions in habitat conservation: evidence from prairie pothole easements. J Environ Econ Manag 71:71–89

    Article  Google Scholar 

  • Newbold SC, Siikamäki J (2015) Conservation prioritization using reserve site selection methods, chapter 13. In: Halvorsen R, Layton DF (eds) Handbook on the economics of natural resources. Edward Elgar, Northampton, pp 358–398

    Google Scholar 

  • Parkhurst GM, Shogren JF, Crocker T (2016) Tradable set-aside requirements (TSARs): conserving spatially dependent environmental amenities. Environ Resour Econ 63(4):719–744

    Article  Google Scholar 

  • Polasky S, Lewis DJ, Plantinga AJ, Nelson E (2014) Implementing the optimal provision of ecosystem services. Proc Natl Acad Sci 111(17):6248–6253

    Article  Google Scholar 

  • Rasch S, Heckelei T, Storm H, Oomen R, Naumann C (2017) Multi-scale resilience of a communal rangeland system in South Africa. Ecol Econ 131:129–138

    Article  Google Scholar 

  • Zivin JSG, Kotchen MJ, Mansur ET (2014) Spatial and temporal heterogeneity of marginal emissions: implications for electric cars and other electricity-shifting policies. J Econ Behav Organ 107:248–268

    Article  Google Scholar 

Further Reading

  • Bateman I, Yang W, Boxall P (2006) Geographical information systems (GIS) and spatial analysis in resource and environmental economics. In: Tietenberg T, Folmer H (eds) The international yearbook of environmental and resource economics 2006/2007: a survey of current issues. Edward Elgar, Northampton, pp 43–92

    Google Scholar 

  • Cropper ML, Oates WE (1992) Environmental economics: a survey. J Econ Lit 30(2):675–740

    Google Scholar 

  • Fischer MM, Getis A (eds) (2010) Handbook of applied spatial analysis: software tools, methods, and applications. Springer, Berlin/Heidelberg

    Google Scholar 

  • Geoghegan J, Gray W (2005) Spatial environmental policy. In: Tietenberg T, Folmer H (eds) The international yearbook of environmental and resource economics 2005/2006: a survey of current issues. Edward Elgar, Northampton, pp 52–96

    Google Scholar 

  • Irwin EG, Bell KP, Bockstael NE, Newburn DA, Partridge MD, Wu J (2009) The economics of urban-rural space. Ann Rev Resour Econ 1(1):435–459

    Article  Google Scholar 

  • Khandker SJ, Koolwal GB, Samand HA (2010) Handbook on impact evaluation: quantitative methods and practices. World Bank, Washington, DC

    Google Scholar 

  • Polasky S (2005) Strategies to conserve biodiversity. In: Tietenberg T, Folmer H (eds) The international yearbook of environmental and resource economics 2005/2006: a survey of current issues. Edward Elgar, Northampton, pp 157–184

    Google Scholar 

  • Viscusi K, Gayer T (2005) Quantifying and valuing environmental health risks, chapter 20. In: Mäler KG, Vincent J (eds) Handbook of environmental economics, vol 2. Elsevier, Amsterdam, pp 1029–1103

    Google Scholar 

Download references

Acknowledgments

This chapter is based in part on work supported by USDA-NIFA Hatch project number #ILLU-470-316. Lead authorship is equally shared by the two coauthors. The authors thank the editors of this volume for useful comments on the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amy W. Ando .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer-Verlag GmbH Germany, part of Springer Nature

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Ando, A.W., Baylis, K. (2019). Spatial Environmental and Natural Resource Economics. In: Fischer, M., Nijkamp, P. (eds) Handbook of Regional Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36203-3_53-1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36203-3_53-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36203-3

  • Online ISBN: 978-3-642-36203-3

  • eBook Packages: Springer Reference Economics and FinanceReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

Publish with us

Policies and ethics