1932

Abstract

Data sets providing repeated observations of land use at fine spatial scales have enabled a new generation of land-use studies. In the past decade, these analyses have put increasing emphasis on empirical research designs that provide more convincing causal estimates. I review the use of instrumental variables, matching, difference-in-differences, regression discontinuity design, and randomized controlled trials in the recent land-use economics literature, exploring how new data have made possible the use of these research designs. I show that these estimators have produced different results than were obtained with traditional approaches and have provided new insights into important land-use policy issues such as additionality and spillover effects.

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2021-10-05
2024-04-18
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Literature Cited

  1. Alix-Garcia JM, Shapiro EN, Sims KR 2012. Forest conservation and slippage: evidence from Mexico's national payments for ecosystem services program. Land Econ 88:4613–38
    [Google Scholar]
  2. Anas A, Arnott R, Small KA. 1998. Urban spatial structure. J. Econ. Lit. 36:31426–64
    [Google Scholar]
  3. Andam KS, Ferraro PJ, Pfaff A, Sanchez-Azofeifa GA, Robalino JA 2008. Measuring the effectiveness of protected area networks in reducing deforestation. PNAS 105:4216089–94
    [Google Scholar]
  4. Angrist JD. 1990. Lifetime earnings and the Vietnam era draft lottery: evidence from social security administrative records. Am. Econ. Rev. 80:3313–36
    [Google Scholar]
  5. Angrist JD, Pischke JS. 2010. The credibility revolution in empirical economics: how better research design is taking the con out of econometrics. J. Econ. Perspect. 24:23–30
    [Google Scholar]
  6. Assunção J, Gandour C, Rocha R, Rocha R. 2020. The effect of rural credit on deforestation: evidence from the Brazilian Amazon. Econ. J. 130:626290–330
    [Google Scholar]
  7. Bayer P, Timmins C. 2007. Estimating equilibrium models of sorting across locations. Econ. J. 117:518353–74
    [Google Scholar]
  8. Bell KP, Boyle KJ, Rubin J 2006. Economics of Rural Land-Use Change Ashgate Stud. Environ. Nat. Resour. Econ. London: Routledge
  9. BenYishay A, Heuser S, Runfola D, Trichler R. 2017. Indigenous land rights and deforestation: evidence from the Brazilian amazon. J. Environ. Econ. Manag. 86:29–47
    [Google Scholar]
  10. Bigelow DP, Kuethe T. 2020. A tale of two borders: use-value assessment, land development, and irrigation investment. Am. J. Agric. Econ. 102:51404–24
    [Google Scholar]
  11. Bigelow DP, Plantinga AJ, Lewis DJ, Langpap C. 2017. How does urbanization affect water withdrawals? Insights from an econometric-based landscape simulation. Land Econ 93:3413–36
    [Google Scholar]
  12. Bishop KC, Kuminoff NV, Banzhaf HS, Boyle KJ, von Gravenitz K et al. 2020. Best practices for using hedonic property value models to measure willingness to pay for environmental quality. Rev. Environ. Econ. Policy 14:2260–81
    [Google Scholar]
  13. Black DA. 2015. Matching as a regression estimator. IZA World Labor 2015.186
    [Google Scholar]
  14. Black SE. 1999. Do better schools matter? Parental valuation of elementary education. Q. J. Econ. 114:2577–99
    [Google Scholar]
  15. Blackman A, Goff L, Planter MR. 2018. Does eco-certification stem tropical deforestation? Forest stewardship council certification in Mexico. J. Environ. Econ. Manag. 89:306–33
    [Google Scholar]
  16. Blundell RW, Powell JL. 2004. Endogeneity in semiparametric binary response models. Rev. Econ. Stud. 71:3655–79
    [Google Scholar]
  17. Burgess R, Hansen M, Olken BA, Potapov P, Sieber S. 2012. The political economy of deforestation in the tropics. Q. J. Econ. 127:41707–54
    [Google Scholar]
  18. Butsic V, Lewis DJ, Ludwig L. 2011. An econometric analysis of land development with endogenous zoning. Land Econ 87:3412–32
    [Google Scholar]
  19. Dempsey JA, Plantinga AJ. 2013. How well do urban growth boundaries contain development? Results for Oregon using a difference-in-difference estimator. Reg. Sci. Urban Econ. 43:6996–1007
    [Google Scholar]
  20. Díaz S, Settele J, Brondzio ES, Ngo HT, Agard J et al. 2019. Pervasive human-driven decline of life on earth points to the need for transformative change. Science 366:6471eaax3100
    [Google Scholar]
  21. Donaldson D, Storeygard A. 2016. The view from above: applications of satellite data in economics. J. Econ. Perspect. 30:4171–98
    [Google Scholar]
  22. Edwards RB, Falcon WP, Hadiwidjaja G, Higgins MM, Naylor RL, Sumarto S. 2020. Fight fire with finance: A randomized field experiment to curtail land-clearing fire in Indonesia Work. Pap 55-e/2020, TNP2K Jakarta, Indones: http://tnp2k.go.id/download/17936WP55%20FightfireR2.pdf
  23. Ferraro PJ, Miranda JJ. 2017. Panel data designs and estimators as substitutes for randomized controlled trials in the evaluation of public programs. J. Assoc. Environ. Resour. Econ. 4:1281–317
    [Google Scholar]
  24. Fienup M, Plantinga AJ. 2020. Unintended effects of environmental policies: the case of urban growth controls and agricultural intensification. Land Econ press
    [Google Scholar]
  25. Foster AD, Rosenzweig MR. 2003. Economic growth and the rise of forests. Q. J. Econ. 118:2601–37
    [Google Scholar]
  26. Grout CA, Jaeger WK, Plantinga AJ. 2011. Land-use regulations and property values in Portland, Oregon: a regression discontinuity design approach. Reg. Sci. Urban Econ. 41:298–107
    [Google Scholar]
  27. Hansen MC, Potapov PV, Moore R, Hancher M, Turubanova SA et al. 2013. High-resolution global maps of 21st-century forest cover change. Science 342:6160850–53
    [Google Scholar]
  28. Heilmayr R, Lambin EF 2016. Impacts of nonstate, market-driven governance on Chilean forests. PNAS 113:112910–15
    [Google Scholar]
  29. Irwin EG, Bockstael NE. 2002. Interacting agents, spatial externalities and the evolution of residential land use patterns. J. Econ. Geogr. 2:131–54
    [Google Scholar]
  30. Irwin EG, Bockstael NE 2007. The evolution of urban sprawl: evidence of spatial heterogeneity and increasing land fragmentation. PNAS 104:5220672–77
    [Google Scholar]
  31. Jack BK. 2013. Private information and the allocation of land use subsidies in Malawi. Am. Econ. J. Appl. Econ. 5:3113–35
    [Google Scholar]
  32. Jain M. 2020. The benefits and pitfalls of using satellite data for causal inference. Rev. Environ. Econ. Policy 14:1157–69
    [Google Scholar]
  33. 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 357:6348267–73
    [Google Scholar]
  34. Lewis DJ, Plantinga AJ. 2007. Policies for habitat fragmentation: combining econometrics with GIS-based landscape simulations. Land Econ 83:2109–27
    [Google Scholar]
  35. Lewis DJ, Provencher B, Butsic V. 2009. The dynamic effects of open-space conservation policies on residential development density. J. Environ. Econ. Manag. 57:3239–52
    [Google Scholar]
  36. Loomis JB. 2002. Integrated Public Lands Management: Principles and Applications to National Forests, Parks, Wildlife Refuges, and BLM Lands New York: Columbia Univ. Press
  37. Lubowski RN, Plantinga AJ, Stavins RN. 2008. What drives land-use change in the United States? A national analysis of landowner decisions. Land Econ 84:4529–50
    [Google Scholar]
  38. MacDonald AJ, Larsen AE, Plantinga AJ. 2019. Missing the people for the trees: identifying coupled natural–human system feedbacks driving the ecology of Lyme disease. J. Appl. Ecol. 56:2354–64
    [Google Scholar]
  39. Mason CF, Plantinga AJ. 2013. The additionality problem with offsets: optimal contracts for carbon sequestration in forests. J. Environ. Econ. Manag. 66:11–14
    [Google Scholar]
  40. Nelson GC, Hellerstein D. 1997. Do roads cause deforestation? Using satellite images in econometric analysis of land use. Am. J. Agric. Econ. 79:180–88
    [Google Scholar]
  41. Oliva P, Jack BK, Bell S, Mettetal E, Severen C. 2020. Technology adoption under uncertainty: take-up and subsequent investment in Zambia. Rev. Econ. Stat. 102:3617–32
    [Google Scholar]
  42. Panlasigui S, Rico-Straffon J, Pfaff A, Swenson J, Loucks C. 2018. Impacts of certification, uncertified concessions, and protected areas on forest loss in Cameroon, 2000 to 2013. Biol. Conserv. 227:160–66
    [Google Scholar]
  43. Pfaff A, Robalino J. 2017. Spillovers from conservation programs. Annu. Rev. Resour. Econ. 9:299–315
    [Google Scholar]
  44. Pfaff A, Santiago-Ávila F, Joppa L. 2017. Evolving protected-area impacts in Mexico: political shifts as suggested by impact evaluations. Forests 8:117
    [Google Scholar]
  45. Pfaff AS. 1999. What drives deforestation in the Brazilian Amazon? Evidence from satellite and socioeconomic data. J. Environ. Econ. Manag. 37:126–43
    [Google Scholar]
  46. Plantinga AJ. 2015. Integrating economic land-use and biophysical models. Annu. Rev. Resour. Econ. 7:233–49
    [Google Scholar]
  47. Robalino J, Pfaff A. 2013. Ecopayments and deforestation in Costa Rica: a nationwide analysis of PSA's initial years. Land Econ 89:3432–48
    [Google Scholar]
  48. Robalino J, Pfaff A, Villalobos L. 2017. Heterogeneous local spillovers from protected areas in Costa Rica. J. Assoc. Environ. Resour. Econ. 4:3795–820
    [Google Scholar]
  49. Robalino JA, Pfaff A. 2012. Contagious development: neighbor interactions in deforestation. J. Dev. Econ. 97:2427–36
    [Google Scholar]
  50. Saiz A. 2010. The geographic determinants of housing supply. Q. J. Econ. 125:31253–96
    [Google Scholar]
  51. Salzman J, Bennett G, Carroll N, Goldstein A, Jenkins M. 2018. The global status and trends of payments for ecosystem services. Nat. Sustain. 1:3136–44
    [Google Scholar]
  52. Severen C, Plantinga AJ. 2018. Land-use regulations, property values, and rents: decomposing the effects of the California Coastal Act. J. Urban Econ. 107:65–78
    [Google Scholar]
  53. Shukla PR, Skea J, Calvo Buendia E, Masson-Delmotte V, Pörtner HO et al. 2019. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems Geneva, Switz: IPCC. In press https://www.ipcc.ch/site/assets/uploads/2019/11/SRCCL-Full-Report-Compiled-191128.pdf
  54. Stavins RN, Jaffe AB. 1990. Unintended impacts of public investments on private decisions: the depletion of forested wetlands. Am. Econ. Rev. 80:3337–52
    [Google Scholar]
  55. Turner MA, Haughwout A, Van Der Klaauw W. 2014. Land use regulation and welfare. Econometrica 82:41341–403
    [Google Scholar]
  56. Wendland KJ, Baumann M, Lewis DJ, Sieber A, Radeloff VC. 2015. Protected area effectiveness in European Russia: a postmatching panel data analysis. Land Econ 91:1149–68
    [Google Scholar]
  57. West TA, Fearnside PM. 2021. Brazil's conservation reform and the reduction of deforestation in Amazonia. Land Use Policy 100:105072
    [Google Scholar]
  58. White FC, Fleming FN. 1980. An analysis of competing agricultural land uses. South. J. Agric. Econ. 12: 1378.99–103
    [Google Scholar]
  59. Wren-Lewis L, Becerra-Valbuena L, Houngbedji K. 2020. Formalizing land rights can reduce forest loss: experimental evidence from Benin. Sci. Adv. 6:26eabb6914
    [Google Scholar]
  60. Wrenn DH, Klaiber HA, Newburn DA. 2017. Confronting price endogeneity in a duration model of residential subdivision development. J. Appl. Econ. 32:3661–82
    [Google Scholar]
  61. Zipp KY, Lewis DJ, Provencher B. 2017. Does the conservation of land reduce development? An econometric-based landscape simulation with land market feedbacks. J. Environ. Econ. Manag. 81:19–37
    [Google Scholar]
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