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Abstract

Two factors have elevated recent academic and policy interest in tropical deforestation: first, the realization that it is a major contributor to climate change; and second, a revolution in satellite-based measurement that has revealed that it is proceeding at a rapid rate. We begin by reviewing the methodological advances that have enabled measurement of forest loss at a fine spatial resolution across the globe. We then develop a simple benchmark model of deforestation based on classic models of natural resource extraction. Extending this approach to incorporate features that characterize deforestation in developing countries—pressure for land use change, significant local and global externalities, weak property rights, and political economy constraints—provides us with a framework for reviewing the fast-growing empirical literature on the economics of deforestation in the tropics. This combination of theory and empirics provides insights not only into the economic drivers and impacts of tropical deforestation but also into policies that may affect its progression. We conclude by identifying areas where more work is needed in this important body of research.

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2023-09-13
2024-12-02
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Literature Cited

  1. Abman R, Carney C. 2020.. Agricultural productivity and deforestation: evidence from input subsidies and ethnic favoritism in Malawi. . J. Environ. Econ. Manag. 103::102342
    [Google Scholar]
  2. Abman R, Garg T, Pan Y, Singhal S. 2021.. Agriculture and deforestation. Work. Pap. , San Diego State Univ., San Diego, CA:
    [Google Scholar]
  3. Abman R, Lundberg C. 2020.. Does free trade increase deforestation? The effects of regional trade agreements. . J. Assoc. Environ. Resour. Econ. 7:(1):3572
    [Google Scholar]
  4. Achard F, Beuchle R, Mayaux P, Stibig HJ, Bodart C, et al. 2014.. Determination of tropical deforestation rates and related carbon losses from 1990 to 2010. . Glob. Change Biol. 20:(8):254054
    [Google Scholar]
  5. Albers HJ, Ando AW, Batz M. 2008.. Patterns of multi-agent land conservation: crowding in/out, agglomeration, and policy. . Resour. Energy Econ. 30:(4):492508
    [Google Scholar]
  6. Albers HJ, Fisher AC, Hanemann WM. 1996.. Valuation and management of tropical forests: implications of uncertainty and irreversibility. . Environ. Resour. Econ. 8::3961
    [Google Scholar]
  7. Alesina A, Gennaioli C, Lovo S. 2019.. Public goods and ethnic diversity: evidence from deforestation in Indonesia. . Economica 86:(341):3266
    [Google Scholar]
  8. Alix-Garcia J. 2007.. A spatial analysis of common property deforestation. . J. Environ. Econ. Manag. 53:(2):14157
    [Google Scholar]
  9. Alix-Garcia J, Gibbs HK. 2017.. Forest conservation effects of Brazil's zero deforestation cattle agreements undermined by leakage. . Glob. Environ. Change 47::20117
    [Google Scholar]
  10. Alix-Garcia J, McIntosh C, Sims KR, Welch JR. 2013.. The ecological footprint of poverty alleviation: evidence from Mexico's Oportunidades program. . Rev. Econ. Stat. 95:(2):41735
    [Google Scholar]
  11. Alix-Garcia J, Millimet DL. 2022.. Remotely incorrect? Work. Pap. , Oregon State Univ., Corvallis:
    [Google Scholar]
  12. Alix-Garcia JM, Sims KR, Yañez-Pagans P. 2015.. Only one tree from each seed? Environmental effectiveness and poverty alleviation in Mexico's payments for ecosystem services program. . Am. Econ. J. Econ. Policy 7:(4):140
    [Google Scholar]
  13. Amacher GS, Koskela E, Ollikainen M. 2009.. Deforestation and land use under insecure property rights. . Environ. Dev. Econ. 14:(3):281303
    [Google Scholar]
  14. Amacher GS, Ollikainen M, Koskela E. 2012.. Corruption and forest concessions. . J. Environ. Econ. Manag. 63:(1):92104
    [Google Scholar]
  15. Andam KS, Ferraro PJ, Pfaff A, Sanchez-Azofeifa GA, Robalino JA. 2008.. Measuring the effectiveness of protected area networks in reducing deforestation. . PNAS 105:(42):1608994
    [Google Scholar]
  16. Angelsen A. 1999.. Agricultural expansion and deforestation: modelling the impact of population, market forces and property rights. . J. Dev. Econ. 58:(1):185218
    [Google Scholar]
  17. Angelsen A, Kaimowitz D. 1999.. Rethinking the causes of deforestation. . World Bank Res. Obs. 14:(1):7398
    [Google Scholar]
  18. Angelsen A, Kaimowitz D 2001.. Agricultural Technologies and Tropical Deforestation. Wallingford, UK:: CAB Int
    [Google Scholar]
  19. Araujo C, Bonjean CA, Combes JL, Motel PC, Reis EJ. 2009.. Property rights and deforestation in the Brazilian Amazon. . Ecol. Econ. 68:(8–9):246168
    [Google Scholar]
  20. Araujo R, Costa F, Sant'Anna M. 2022.. Efficient forestation in the Brazilian Amazon. . SocArXiv, Dec. 10. https://doi.org/10.31235/osf.io/8yfr7
  21. Asher S, Garg T, Novosad P. 2020.. The ecological impact of transportation infrastructure. . Econ. J. 130:(629):117399
    [Google Scholar]
  22. Assunção J, Gandour C, Rocha R. 2015.. Deforestation slowdown in the Brazilian Amazon: prices or policies?. Environ. Dev. Econ. 20:(6):697722
    [Google Scholar]
  23. Assunção J, Gandour C, Rocha R. 2023a.. DETER-ing deforestation in the Amazon: environmental monitoring and law enforcement. . Am. Econ. J. Appl. Econ. 15:(2):12556
    [Google Scholar]
  24. Assunção J, Gandour C, Rocha R, Rocha R. 2020.. The effect of rural credit on deforestation: evidence from the Brazilian Amazon. . Econ. J. 130:(626):290330
    [Google Scholar]
  25. Assunção J, McMillan R, Murphy J, Souza-Rodrigues E. 2023b.. Optimal environmental targeting in the Amazon rainforest. . Rev. Econ. Stud. 90:(4):160841
    [Google Scholar]
  26. Austin KG, Schwantes A, Gu Y, Kasibhatla PS. 2019.. What causes deforestation in Indonesia?. Environ. Res. Lett. 14:(2):024007
    [Google Scholar]
  27. Avelino AFT, Baylis K, Honey-Rosés J. 2016.. Goldilocks and the raster grid: selecting scale when evaluating conservation programs. . PLOS ONE 11:(12):e0167945
    [Google Scholar]
  28. Babcock BA, Lakshminarayan P, Wu J, Zilberman D. 1996.. The economics of a public fund for environmental amenities: a study of CRP contracts. . Am. J. Agric. Econ. 78:(4):96171
    [Google Scholar]
  29. Baccini A, Goetz S, Walker W, Laporte N, Sun M, et al. 2012.. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. . Nat. Climate Change 2:(3):18285
    [Google Scholar]
  30. Baland JM, Bardhan P, Das S, Mookherjee D. 2010.. Forests to the people: decentralization and forest degradation in the Indian Himalayas. . World Dev. 38:(11):164256
    [Google Scholar]
  31. Baland JM, Platteau JP. 1996.. Halting Degradation of Natural Resources: Is There a Role for Rural Communities? Rome:: FAO
    [Google Scholar]
  32. Balboni C, Burgess R, Heil A, Old J, Olken BA. 2021.. Cycles of fire? Politics and forest burning in Indonesia. . Am. Econ. Assoc. Pap. Proc. 111::41519
    [Google Scholar]
  33. Balboni C, Burgess R, Olken BA. 2023.. The origins and control of forest fires in the tropics. Work. Pap. , Lond. Sch. Econ., London:
    [Google Scholar]
  34. Baragwanath K, Bayi E. 2020.. Collective property rights reduce deforestation in the Brazilian Amazon. . PNAS 117:(34):20495502
    [Google Scholar]
  35. Barbier EB, Burgess JC. 2001.. The economics of tropical deforestation. . J. Econ. Surv. 15:(3):41333
    [Google Scholar]
  36. Barbier EB, Burgess JC, Markandya A. 1991.. The economics of tropical deforestation. . Ambio 20:(2):5558
    [Google Scholar]
  37. Barbier EB, Rauscher M. 1994.. Trade, tropical deforestation and policy interventions. . Environ. Resour. Econ. 4:(1):7590
    [Google Scholar]
  38. BenYishay A, Heuser S, Runfola D, Trichler R. 2017.. Indigenous land rights and deforestation: evidence from the Brazilian Amazon. . J. Environ. Econ. Manag. 86::2947
    [Google Scholar]
  39. Berazneva J, Byker TS. 2017.. Does forest loss increase human disease? Evidence from Nigeria. . Am. Econ. Rev. 107:(5):51621
    [Google Scholar]
  40. Berck P, Bentley WR. 1997.. Hotelling's theory, enhancement, and the taking of the Redwood National Park. . Am. J. Agric. Econ. 79:(2):28798
    [Google Scholar]
  41. Blackman A, Goff L, Planter MR. 2018.. Does eco-certification stem tropical deforestation? Forest stewardship council certification in Mexico. . J. Environ. Econ. Manag. 89::30633
    [Google Scholar]
  42. Bohn H, Deacon RT. 2000.. Ownership risk, investment, and the use of natural resources. . Am. Econ. Rev. 90:(3):52649
    [Google Scholar]
  43. Borlaug N. 2007.. Feeding a hungry world. . Science 318:(5849):359
    [Google Scholar]
  44. Börner J, Schulz D, Wunder S, Pfaff A. 2020.. The effectiveness of forest conservation policies and programs. . Annu. Rev. Resour. Econ. 12::4564
    [Google Scholar]
  45. Bradshaw CJ, Sodhi NS, Brook BW. 2009.. Tropical turmoil: a biodiversity tragedy in progress. . Front. Ecol. Environ. 7:(2):7987
    [Google Scholar]
  46. Brander JA, Taylor MS. 1997.. International trade between consumer and conservationist countries. . Resour. Energy Econ. 19:(4):26797
    [Google Scholar]
  47. Brouwer R, Pinto R, Dugstad A, Navrud S. 2022.. The economic value of the Brazilian Amazon rainforest ecosystem services: a meta-analysis of the Brazilian literature. . PLOS ONE 17:(5):e0268425
    [Google Scholar]
  48. Brown K, Pearce DW 1994.. The Causes of Tropical Deforestation: The Economic and Statistical Analysis of Factors Giving Rise to the Loss of the Tropical Forests. Vancouver, Can:.: UBC Press
    [Google Scholar]
  49. Burgess R, Costa F, Olken BA. 2019.. The Brazilian Amazon's double reversal of fortune. Work. Pap. , Lond. Sch. Econ., London:
    [Google Scholar]
  50. Burgess R, Hansen M, Olken BA, Potapov P, Sieber S. 2011.. The political economy of deforestation in the tropics. . NBER Work. Pap. 17417
    [Google Scholar]
  51. Burgess R, Hansen M, Olken BA, Potapov P, Sieber S. 2012.. The political economy of deforestation in the tropics. . Q. J. Econ. 127:(4):170754
    [Google Scholar]
  52. Carlson KM, Heilmayr R, Gibbs HK, Noojipady P, Burns DN, et al. 2018.. Effect of oil palm sustainability certification on deforestation and fire in Indonesia. . PNAS 115:(1):12126
    [Google Scholar]
  53. Carreira I, Costa F, Pessoa JP. 2022.. The deforestation effects of trade and agricultural productivity in Brazil. . SocArXiv, June 29. https://doi.org/10.31235/osf.io/hy3np
  54. Carson RT. 2012.. Contingent valuation: a practical alternative when prices aren't available. . J. Econ. Perspect. 26:(4):2742
    [Google Scholar]
  55. Chomitz KM, Gray DA. 1996.. Roads, land use, and deforestation: a spatial model applied to Belize. . World Bank Econ. Rev. 10:(3):487512
    [Google Scholar]
  56. Cisneros E, Kis-Katos K, Nuryartono N. 2021.. Palm oil and the politics of deforestation in Indonesia. . J. Environ. Econ. Manag. 108::102453
    [Google Scholar]
  57. Coase RH. 1960.. The problem of social cost. . In Classic Papers in Natural Resource Economics, ed. C Gopalakrishnan , pp. 87137 London:: Palgrave Macmillan
    [Google Scholar]
  58. Copeland BR, Shapiro JS, Scott Taylor M. 2022.. Globalization and the environment. . In Handbook of International Economics: International Trade 5, ed. G Gopinath, E Helpman, K Rogoff , pp. 61146 Amsterdam: North-Holland:
    [Google Scholar]
  59. Copeland BR, Taylor MS. 2009.. Trade, tragedy, and the commons. . Am. Econ. Rev. 99:(3):72549
    [Google Scholar]
  60. Dasgupta P. 1996.. The economics of the environment. . Environ. Dev. Econ. 1:(4):387428
    [Google Scholar]
  61. Dasgupta P, Heal G. 1974.. The optimal depletion of exhaustible resources. . Rev. Econ. Stud. 41::328
    [Google Scholar]
  62. Dominguez-Iino T. 2023.. Efficiency and redistribution in environmental policy: an equilibrium analysis of agricultural supply chains. Work. Pap. , US Fed. Reserve Board, Washington, DC:
    [Google Scholar]
  63. Dupuis C, Lejeune P, Michez A, Fayolle A. 2020.. How can remote sensing help monitor tropical moist forest degradation? A systematic review. . Remote Sens. 12:(7):1087
    [Google Scholar]
  64. Edwards RB. 2019.. Export agriculture and rural poverty: evidence from Indonesian palm oil. Work. Pap. , Dartmouth Coll., Hanover, NH:
    [Google Scholar]
  65. Edwards RB, Falcon W, Hadiwidjaja G, Higgins M, Naylor R, Sumarto S. 2022.. Fight fire with finance: a randomized field experiment to curtail land-clearing fire in Indonesia. Work. Pap. 7/2022 , Aust. Natl. Univ., Canberra:
    [Google Scholar]
  66. Eisenbarth S, Graham L, Rigterink AS. 2021.. Can community monitoring save the commons? Evidence on forest use and displacement. . PNAS 118:(29):e2015172118
    [Google Scholar]
  67. FAO, UNEP. 2020.. The state of the world's forests 2020. Tech. Rep. , FAO, Rome:
    [Google Scholar]
  68. Faustmann M. 1968 (1849).. On the determination of the value which forest land and immature stands possess for forestry. . In Martin Faustmann and the Evolution of Discounted Cash Flow, ed. M Gane . Oxford, UK:: Commonw. For. Inst.
    [Google Scholar]
  69. Ferraro PJ, Simorangkir R. 2020.. Conditional cash transfers to alleviate poverty also reduced deforestation in Indonesia. . Sci. Adv. 6:(24):eaaz1298
    [Google Scholar]
  70. Ferreira S. 2004.. Deforestation, property rights, and international trade. . Land Econ. 80:(2):17493
    [Google Scholar]
  71. Fischer R, Taubert F, Müller MS, Groeneveld J, Lehmann S, et al. 2021.. Accelerated forest fragmentation leads to critical increase in tropical forest edge area. . Sci. Adv. 7:(37):eabg7012
    [Google Scholar]
  72. Fisher AC. 1981.. Resource and Environmental Economics. Cambridge, UK:: Cambridge Univ. Press
    [Google Scholar]
  73. Foster AD, Rosenzweig MR. 2003.. Economic growth and the rise of forests. . Q. J. Econ. 118:(2):60137
    [Google Scholar]
  74. Franklin SL, Pindyck RS. 2018.. Tropical forests, tipping points, and the social cost of deforestation. . Ecol. Econ. 153::16171
    [Google Scholar]
  75. Gao Y, Skutsch M, Paneque-Gálvez J, Ghilardi A. 2020.. Remote sensing of forest degradation: a review. . Environ. Res. Lett. 15:(10):103001
    [Google Scholar]
  76. Garcia A, Heilmayr R. 2022.. Conservation impact evaluation using remotely sensed data. Work. Pap. , Univ. Calif., Santa Barbara:
    [Google Scholar]
  77. Garg T. 2019.. Ecosystems and human health: the local benefits of forest cover in Indonesia. . J. Environ. Econ. Manag. 98::102271
    [Google Scholar]
  78. Gaveau DL, Sheil D, Salim MA, Arjasakusuma S, Ancrenaz M, et al. 2016.. Rapid conversions and avoided deforestation: examining four decades of industrial plantation expansion in Borneo. . Sci. Rep. 6::32017
    [Google Scholar]
  79. Giglio L, Justice C. 2015.. MOD14A1 MODIS/terra thermal anomalies/fire daily L3 global 1km SIN grid v006. . LAADS DAAC. https://lpdaac.usgs.gov/products/mod14a1v006/
    [Google Scholar]
  80. Gordon HS. 1954.. The economic theory of a common-property resource: the fishery. . J. Political Econ. 62:(2):12442
    [Google Scholar]
  81. Goundrey G. 1960.. Forest management and the theory of capital. . Can. J. Econ. Political Sci. 26:(3):43951
    [Google Scholar]
  82. Gov. Mexico. 2014.. Guía para la interpretación de cartografía uso del suelo y vegetación escala 1:250,000 serie V. Aguascaliente, Mex:.: INEGI
    [Google Scholar]
  83. Hansen MC, Loveland TR. 2012.. A review of large area monitoring of land cover change using Landsat data. . Remote Sens. Environ. 122::6674
    [Google Scholar]
  84. 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:(6160):85053
    [Google Scholar]
  85. Hardin G. 1968.. The tragedy of the commons. . Science 162:(3859):124348
    [Google Scholar]
  86. Hargrave J, Kis-Katos K. 2013.. Economic causes of deforestation in the Brazilian Amazon: a panel data analysis for the 2000s. . Environ. Resour. Econ. 54:(4):47194
    [Google Scholar]
  87. Harstad B. 2016.. The market for conservation and other hostages. . J. Econ. Theory 166::12451
    [Google Scholar]
  88. Harstad B. 2022.. The conservation multiplier. Work. Pap. , Univ. Oslo, Oslo, Nor.:
    [Google Scholar]
  89. Harstad B. 2023.. Trade, trees, and contingent trade agreements. Work. Pap. , Univ. Oslo, Oslo, Nor.:
    [Google Scholar]
  90. Harstad B, Mideksa TK. 2017.. Conservation contracts and political regimes. . Rev. Econ. Stud. 84:(4):170834
    [Google Scholar]
  91. Harstad B, Svensson J. 2011.. Bribes, lobbying, and development. . Am. Political Sci. Rev. 105:(1):4663
    [Google Scholar]
  92. Heilmayr R, Rausch LL, Munger J, Gibbs HK. 2020.. Brazil's Amazon soy moratorium reduced deforestation. . Nat. Food 1:(12):80110
    [Google Scholar]
  93. Hess S, Jaimovich D, Schündeln M. 2021.. Environmental effects of development programs: experimental evidence from West African dryland forests. . J. Dev. Econ. 153::102737
    [Google Scholar]
  94. Hotelling H. 1931.. The economics of exhaustible resources. . J. Political Econ. 39:(2):13775
    [Google Scholar]
  95. Hsiao A. 2022.. Coordination and commitment in international climate action: evidence from palm oil. Work. Pap. , Univ. Chicago, Chicago:
    [Google Scholar]
  96. Jack BK. 2013.. Private information and the allocation of land use subsidies in Malawi. . Am. Econ. J. Appl. Econ. 5:(3):11335
    [Google Scholar]
  97. Jack BK, Jayachandran S. 2019.. Self-selection into payments for ecosystem services programs. . PNAS 116:(12):532633
    [Google Scholar]
  98. Jain M. 2020.. The benefits and pitfalls of using satellite data for causal inference. . Rev. Environ. Econ. Policy 14:(1):15769
    [Google Scholar]
  99. Jayachandran S. 2009.. Air quality and early-life mortality evidence from Indonesia's wildfires. . J. Hum. Resourc. 44:(4):91654
    [Google Scholar]
  100. Jayachandran S. 2013.. Liquidity constraints and deforestation: the limitations of payments for ecosystem services. . Am. Econ. Assoc. Pap. Proc. 103:(3):30913
    [Google Scholar]
  101. Jayachandran S. 2023.. The inherent trade-off between the environmental and anti-poverty goals of payments for ecosystem services. . Environ. Res. Lett. 18:(2):025003
    [Google Scholar]
  102. 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):26773
    [Google Scholar]
  103. Kaimowitz D, Angelsen A. 1998.. Economic Models of Tropical Deforestation: A Review. Jakarta, Indones:.: CIFOR
    [Google Scholar]
  104. Kennedy RE, Townsend PA, Gross JE, Cohen WB, Bolstad P, et al. 2009.. Remote sensing change detection tools for natural resource managers: understanding concepts and tradeoffs in the design of landscape monitoring projects. . Remote Sens. Environ. 113:(7):138296
    [Google Scholar]
  105. Kraus S, Liu J, Koch N, Fuss S. 2021.. No aggregate deforestation reductions from rollout of community land titles in Indonesia yet. . PNAS 118:(43):e2100741118
    [Google Scholar]
  106. Krutilla JV. 1967.. Conservation reconsidered. . Am. Econ. Rev. 57:(4):77786
    [Google Scholar]
  107. Leijten F, Sim S, King H, Verburg PH. 2021.. Local deforestation spillovers induced by forest moratoria: evidence from Indonesia. . Land Use Policy 109::105690
    [Google Scholar]
  108. Liscow ZD. 2013.. Do property rights promote investment but cause deforestation? Quasi-experimental evidence from Nicaragua. . J. Environ. Econ. Manag. 65:(2):24161
    [Google Scholar]
  109. Livernois J, Thille H, Zhang X. 2006.. A test of the Hotelling rule using old-growth timber data. . Can. J. Econ. 39:(1):16386
    [Google Scholar]
  110. MacDonald AJ, Mordecai EA. 2019.. Amazon deforestation drives malaria transmission, and malaria burden reduces forest clearing. . PNAS 116:(44):2221218
    [Google Scholar]
  111. Mangonnet J, Kopas J, Urpelainen J. 2022.. Playing politics with environmental protection: the political economy of designating protected areas. . J. Politics 84:(3):145368
    [Google Scholar]
  112. Mason CF, Plantinga AJ. 2013.. The additionality problem with offsets: optimal contracts for carbon sequestration in forests. . J. Environ. Econ. Manag. 66:(1):114
    [Google Scholar]
  113. Meadows DH, Meadows DL, Randers J, Behrens WW. 1972.. The Limits to Growth: A Report for the Club of Rome's Project on the Predicament of Mankind. New York:: Universe Books
    [Google Scholar]
  114. Mendelsohn R. 1994.. Property rights and tropical deforestation. . Oxf. Econ. Pap. 46::75056
    [Google Scholar]
  115. Mitchard E, Viergever K, Morel V, Tipper R. 2015.. Assessment of the accuracy of University of Maryland (Hansen et al.) forest loss data in 2 ICF project areas–component of a project that tested an ICF indicator methodology Rep. , Ecometrica, Edinburgh, UK:
    [Google Scholar]
  116. Moffette F, Alix-Garcia J, Shea K, Pickens AH. 2021.. The impact of near-real-time deforestation alerts across the tropics. . Nat. Climate Change 11:(2):17278
    [Google Scholar]
  117. Nordhaus WD. 1975.. The political business cycle. . Rev. Econ. Stud. 42:(2):16990
    [Google Scholar]
  118. Olofsson P, Foody GM, Herold M, Stehman SV, Woodcock CE, Wulder MA. 2014.. Good practices for estimating area and assessing accuracy of land change. . Remote Sens. Environ. 148::4257
    [Google Scholar]
  119. Ostrom E. 1990.. Governing the Commons: The Evolution of Institutions for Collective Action. Cambridge, UK:: Cambridge Univ. Press
    [Google Scholar]
  120. Pailler S. 2018.. Re-election incentives and deforestation cycles in the Brazilian Amazon. . J. Environ. Econ. Manag. 88::34565
    [Google Scholar]
  121. Pattanayak SK, Wunder S, Ferraro PJ. 2010.. Show me the money: Do payments supply environmental services in developing countries?. Rev. Environ. Econ. Policy 4:(2):25474
    [Google Scholar]
  122. Peterson FM, Fisher AC. 1977.. The exploitation of extractive resources: a survey. . Econ. J. 87:(348):681721
    [Google Scholar]
  123. Pfaff A. 1999.. What drives deforestation in the Brazilian Amazon? Evidence from satellite and socioeconomic data. . J. Environ. Econ. Manag. 37:(1):2643
    [Google Scholar]
  124. Pfaff A, Robalino J, Walker R, Aldrich S, Caldas M, et al. 2007.. Road investments, spatial spillovers, and deforestation in the Brazilian Amazon. . J. Reg. Sci. 47:(1):10923
    [Google Scholar]
  125. Potapov P, Hansen MC, Laestadius L, Turubanova S, Yaroshenko A, et al. 2017.. The last frontiers of wilderness: tracking loss of intact forest landscapes from 2000 to 2013. . Sci. Adv. 3:(1):e1600821
    [Google Scholar]
  126. Probst B, BenYishay A, Kontoleon A, dos Reis TN. 2020.. Impacts of a large-scale titling initiative on deforestation in the Brazilian Amazon. . Nat. Sustain. 3:(12):101926
    [Google Scholar]
  127. Proctor J, Carleton T, Sum S. 2023.. Parameter recovery using remotely sensed variables. NBER Work. Pap. 30861
    [Google Scholar]
  128. Ratledge N, Cadamuro G, De la Cuesta B, Stigler M, Burke M. 2021.. Using satellite imagery and machine learning to estimate the livelihood impact of electricity access. NBER Work. Pap. 29237
    [Google Scholar]
  129. Robinson JA, Torvik R, Verdier T. 2006.. Political foundations of the resource curse. . J. Dev. Econ. 79:(2):44768
    [Google Scholar]
  130. Samuelson PA. 1976.. Economics of forestry in an evolving society. . Econ. Inq. 14:(4):46692
    [Google Scholar]
  131. Scott A. 1955.. The fishery: the objectives of sole ownership. . J. Political Econ. 63:(2):11624
    [Google Scholar]
  132. Scott P. 2014.. Dynamic discrete choice estimation of agricultural land use. Work. Pap. , Toulouse Sch. Econ., Toulouse, Fr.:
    [Google Scholar]
  133. Seabright P. 1993.. Managing local commons: theoretical issues in incentive design. . J. Econ. Perspect. 7:(4):11334
    [Google Scholar]
  134. Sims KR. 2010.. Conservation and development: evidence from Thai protected areas. . J. Environ. Econ. Manag. 60:(2):94114
    [Google Scholar]
  135. Sims KR, Alix-Garcia JM. 2017.. Parks versus PES: evaluating direct and incentive-based land conservation in Mexico. . J. Environ. Econ. Manag. 86::828
    [Google Scholar]
  136. Smith VL. 1968.. Economics of production from natural resources. . Am. Econ. Rev. 58:(3):40931
    [Google Scholar]
  137. Solow RM. 1974.. Intergenerational equity and exhaustible resources. . Rev. Econ. Stud. 41::2945
    [Google Scholar]
  138. Song XP, Hansen MC, Stehman SV, Potapov PV, Tyukavina A, et al. 2018.. Global land change from 1982 to 2016. . Nature 560:(7720):63943
    [Google Scholar]
  139. Souza-Rodrigues E. 2019.. Deforestation in the Amazon: a unified framework for estimation and policy analysis. . Rev. Econ. Stud. 86:(6):271344
    [Google Scholar]
  140. Stavins RN. 1999.. The costs of carbon sequestration: a revealed-preference approach. . Am. Econ. Rev. 89:(4):9941009
    [Google Scholar]
  141. Stiglitz J. 1974.. Growth with exhaustible natural resources: efficient and optimal growth paths. . Rev. Econ. Stud. 41::12337
    [Google Scholar]
  142. Szerman D, Assunção J, Lipscomb M, Mobarak AM. 2022.. Agricultural productivity and deforestation: evidence from Brazil. Discuss. Pap. 1091 , Yale Univ., New Haven, CT:
    [Google Scholar]
  143. Tarazona Y, Zabala A, Pons X, Broquetas A, Nowosad J, Zurqani HA. 2021.. Fusing Landsat and SAR data for mapping tropical deforestation through machine learning classification and the PVts-β non-seasonal detection approach. . Can. J. Remote Sens. 47:(5):67796
    [Google Scholar]
  144. Taubert F, Fischer R, Groeneveld J, Lehmann S, Müller MS, et al. 2018.. Global patterns of tropical forest fragmentation. . Nature 554:(7693):51922
    [Google Scholar]
  145. Torchiana AL, Rosenbaum T, Scott PT, Souza-Rodrigues E. 2023.. Improving estimates of transitions from satellite data: a hidden Markov model approach. . Rev. Econ. Stat. In press. https://doi.org/10.1162/rest_a_01301
    [Google Scholar]
  146. Tropek R, Sedláček O, Beck J, Keil P, Musilová Z, et al. 2014.. Comment on “High-resolution global maps of 21st-century forest cover change. Science 344:(6187):981
    [Google Scholar]
  147. Tseng TWJ, Robinson BE, Bellemare MF, BenYishay A, Blackman A, et al. 2021.. Influence of land tenure interventions on human well-being and environmental outcomes. . Nat. Sustain. 4:(3):24251
    [Google Scholar]
  148. UNEP-WCMC, IUCN. 2021.. Protected planet report 2020. . Protected Planet. https://livereport.protectedplanet.net/
    [Google Scholar]
  149. van der Ploeg F. 2018.. Political economy of dynamic resource wars. . J. Environ. Econ. Manag. 92::76582
    [Google Scholar]
  150. van der Werf GR, Morton DC, DeFries RS, Olivier JG, Kasibhatla PS, et al. 2009.. Co2 emissions from forest loss. . Nat. Geosci. 2:(11):73738
    [Google Scholar]
  151. Vancutsem C, Achard F, Pekel JF, Vieilledent G, Carboni S, et al. 2021.. Long-term (1990–2019) monitoring of forest cover changes in the humid tropics. . Sci. Adv. 7:(10):eabe1603
    [Google Scholar]
  152. von Thünen JH. 1966 (1826).. The Isolated State. London:: Pergamon
    [Google Scholar]
  153. Weitzman M. 1974.. Free access vs. private ownership as alternative systems for managing common property. . J. Econ. Theory 8:(2):22534
    [Google Scholar]
  154. Wong PY, Kuralbayeva K, Anderson LO, Pessoa AM, Harding T. 2022.. Individual pay for collective performance and deforestation: evidence from Brazil. Work. Pap. , Nor. Sch. Econ., Bergen, Nor.:
    [Google Scholar]
  155. Wren-Lewis L, Becerra-Valbuena L, Houngbedji K. 2020.. Formalizing land rights can reduce forest loss: experimental evidence from Benin. . Sci. Adv. 6:(26):eabb6914
    [Google Scholar]
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