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The Impact of Settlement Design on Tropical Deforestation Rates and Resulting Land Cover Patterns

Published online by Cambridge University Press:  15 September 2016

Jill Caviglia-Harris
Affiliation:
Department of Economics and Finance
Daniel Harris
Affiliation:
Department of Geography and Geosciences at Salisbury University in Salisbury, Maryland

Abstract

Policymakers in the Brazilian Amazon face the challenge of meeting environmental and developmental goals as cities and towns within these tropical forests continue to face migration pressure. Alternative government planning strategies have been implemented to address forest clearing in conjunction with meeting social agendas. This paper uses panel estimation methods to investigate the impact of settlement design on land use. Results indicate that new settlement designs developed to further social interaction have had a negative impact on land cover and land use transformation. Thus, while new settlement designs appear to positively impact stated social goals, including greater contact between families and access to water and services, these social advances have come at the expense of environmental goals.

Type
Contributed Papers
Copyright
Copyright © 2011 Northeastern Agricultural and Resource Economics Association 

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References

Allison, P.D. 2010. “Longitudinal Data Analysis Using Stata.” Longitudinal Data Analysis Workshop companion material, Stata Corporation. Available at http://www.statisticalhorizons.com/downloads/LDA.Stata2010.pdf (accessed August 4, 2011).Google Scholar
Andersen, L. Granger, C.W.J. Reis, E.J. Weinhold, D. and Wunder, S. 2002. The Dynamics of Deforestation and Economic Growth in the Brazilian Amazon. Cambridge, UK: Cambridge University Press.Google Scholar
Angelsen, A. and Kaimowitz, D. 1999. “Rethinking the Causes of Deforestation: Lessons from Economic Models.” World Bank Research Observer 14: 7398.Google Scholar
Ballester, M.V.R. de C. Victoria, D. Krusche, A.V. Coburn, R. Victoria, R.L. Richey, J.E. Logsdon, M.G. Mayorga, E. and Matricardi, E. 2003. “A Remote Sensing/GIS-Based Physical Template to Understand the Biogeochemistry of the Ji-Parana River Basin (Western Amazonia).Remote Sensing of Environment 87: 429445.Google Scholar
Batistella, M. Moran, E.F. and Robeson, S. 2003. “Settlement Design, Forest Fragmentation, and Landscape Change in Rondônia, Amazonia.Remote Sensing of Environment 87: 456–169.Google Scholar
Baum, C.F. 2006. An Introduction to Modern Econometrics Using Stata (1st edition). College Station, TX: Stata Press.Google Scholar
Bognola, I.A. and Soares, A.F. 1999. “Solos das ‘Glebas 01, 02, 03 e 06’ do Município de Machadinho d’Oeste, RO. Pesquisa Andamento, No. 10. EMBRAPA Monitoramento por Satélite, Campinas, Brazil.Google Scholar
Brandão, A. Jr., and Souza, C. Jr. 2006. “Deforestation in Land Reform Settlements in the Amazon: State of the Amazon.” Belem, Para: IMAZON.Google Scholar
Browder, J.O. Pedlowski, M.A. Walker, R. Wynne, R.H. Summers, P.M. Abad, A. Becerra-Cordoba, N. and Mil-Homens, J. 2008. “Revisiting Theories of Frontier Expansion in the Brazilian Amazon: A Survey of the Colonist Farming Population in Rondônia's Post-Frontier, 1992-2002.World Development 36(8): 14691492.Google Scholar
Chomitz, K.M. and Gray, D.A. 1996. “Roads, Land Use, and Deforestation: A Spatial Model Applied to Belize.” World Bank Economic Review 10(3): 487512.Google Scholar
dos Santos Silva, M.P. Câmara, G. Sobral Escada, M.I. and Modesto de Souza, R.C. 2008. “Remote-Sensing Image Mining: Detecting Agents of Land-Use Change in Tropical Forest Areas.” International Journal of Remote Sensing 29(16): 4803.Google Scholar
Escada, M.I.S. Vieira, I.C.G. Amaral, S. Arauja, R. Veiga, J.B.D. Aguiia, A.P.D. and Veiga, I. 2005. “Padões e processos de ocupação nas novas fronteiras da Amazonia: O interflúvio do Xingu/Iriri” (Land Use Patterns and Processes in Amazonian New Frontiers: The Xingu/Iriri Region). Estudos Avancados 19(54): 923.Google Scholar
Ewers, R.M. Laurance, W.F. and Souza, C.M. 2008. “Temporal Fluctuations in Amazonian Deforestation Rates.” Environmental Conservation 35(4): 303310.Google Scholar
Faminow, M.D. 1998. Cattle, Deforestation and Development in the Amazon: An Economic, Agronomic and Environmental Perspective (1st edition). Wallingford, UK: CAB International.Google Scholar
FAO (Food and Agriculture Organization). 2010. “Global Forest Resources Assessment 2010.FAO, Rome. Google Scholar
Fearnside, P.M. 2002. “Avanca Brasil: Environmental and Social Consequences of Brazil's Planned Infrastructure in Amazonia.” Environmental Management 30(6): 735747.Google Scholar
Ferraz, S.F.D. Vettorazzi, C.A. Theobald, D.M. and Ballester, M.V.R. 2005. “Landscape Dynamics of Amazonian Deforestation Between 1984 and 2002 in Central Rondonia, Brazil: Assessment and Future Scenarios.” Forest Ecology and Management 204: 6783.Google Scholar
Geist, H.J. and Lambin, E.F. 2001. “What Drives Tropical Deforestation? A Meta-analysis of Proximate and Underlying Causes of Deforestation Based on Subnational Case Study Evidence.” LUCC Report Series 4, LUCC International Project Office, Louvain-la-Neuve, Belgium.Google Scholar
Google Earth. 2011. Image dates: Itaituba (July 2008), Altamira (June 2010), Marabá (July 2010), Ariquemes (July 1989), Ouro Preto do Oeste (August 2003), Jaru (August 2008).Google Scholar
Gutierrez, R.G. 2008. “Tricks of the Trade: Getting the Most Out of Xtmixed.” Text presented at the 2008 UK Stata Users Group Meeting, September 11.Google Scholar
IBGE. 2010. “Censo Demográfico—2000: Trabalho e Rendimento: Resultados da Amostra” (Census-2000: Work and Income: Sample Results). Instituto Brasileiro de Geografia e Estatística, Rio de Janeiro, Brazil.Google Scholar
INPE. 2007. “Projeto Prodes Digital. Monitoramento da Floresta Amazonica Brasileira por Satelite” (Project Prodes Digital. Monitoring the Brazilian Amazon Forest by Satellite). Available at http://www.obt.inpe.br/prodes/ (accessed April 2007). Instituto Nacional de Pesquisas Espacias (National Institute for Space Research), Sao Jose dos Campos, São Paulo, Brazil.Google Scholar
INPE. 2010. “Projeto Prodes: Monitoramento da Floresta Amazônica Brasileira Por Satélite” (Project Prodes Digital. Monitoring the Brazilian Amazon Forest by Satellite). Instituto Nacional de Pesquisas Espaciais, São José dos Campos, SP, Brazil. Google Scholar
Irwin, E.G. Bell, K.P. and Geoghegan, J. 2003. “Modeling and Managing Urban Growth at the Rural-Urban Fringe: A Parcel-Level Model of Residential Land Use Change.” Agricultural and Resource Economics Review 32(1): 83102.Google Scholar
Kurodo, Y. and Yotopoulos, P. 1978. “A Microeconomic Analysis of Production Behavior of the Farm Household in Japan: A Profit Function Approach.” Economic Review (Japan) 29(2): 115129.Google Scholar
Lorena, R.B. and Lambin, E.F. 2009. “The Spatial Dynamics of Deforestation and Agent Use in the Amazon.” Applied Geography 29(2): 171181.Google Scholar
Pacheco, P. 2009. “Smallholder Livelihoods, Wealth and Deforestation in the Eastern Amazon.” Human Ecology 37(1): 2741.Google Scholar
Pfaff, A.S.P. 1999. “What Drives Deforestation in the Brazilian Amazon? Evidence from Satellite and Socioeconomic Data.” Journal of Environmental Economics and Management 37(1): 2643.Google Scholar
Pfaff, A. Barbieri, A. Ludewigs, T. Merry, F. Perz, S. and Reis, E.J. 2010. “Road Impacts in Brazilian Amazonia.” In Keller, M. Bustamente, M. Gash, J. and Dias, P. eds., Amazonia and Global Change. Washington, D.C.: American Geophysical Union.Google Scholar
Roberts, D.A. Batista, G. Pereira, J. Waller, E. and Nelson, B. 1998. “Change Identification Using Multitemporal Spectral Mixture Analysis: Applications in Eastern Amazonia.” In Elvidge, C. and Lunetta, R. eds., Remote Sensing Change Detection: Environmental Monitoring Applications and Methods. Ann Arbor, MI: Ann Arbor Press.Google Scholar
Roberts, D.A. Numata, I. Holmes, K. Batista, G. Krug, T. Monteiro, A. Powell, B. and Chadwick, O.A. 2002. “Large Area Mapping of Land-Cover Change in Rondônia Using Multitemporal Spectral Mixture Analysis and Decision Tree Classifiers.” Journal of Geophysical Research, Atmospheres 107(D20), 8073, LBA 40-1 to 40-18.Google Scholar
Robinson, D.T. Brown, D.G. Parker, D.C. Schreinemachers, P. Janssen, M.A. Huigen, M. Wittmer, H. Gotts, N. Promburom, P. Irwin, E. Berger, T. Gatzweiler, F. and Barnaud, C. 2007. “Comparison of Empirical Methods for Building Agent-Based Models in Land Use Science.” Journal of Land Use Science 2(1): 3155.Google Scholar
Shen, Q. and Zhang, F. 2007. “Land-Use Changes in a Pro-Smart-Growth State: Maryland, USA.Environment and Planning A 39(6): 14571477.Google Scholar
Shively, G.E. 2001. “Agricultural Change, Rural Labor Markets, and Forest Clearing: An Illustrative Case from the Philippines.” Land Economics 77(2): 268284.Google Scholar
Singh, I. Squire, L. and Strauss, J. 1986. “A Survey of Agricultural Household Models: Recent Findings and Policy Implications.” World Bank Economic Review 1(1): 149179.Google Scholar
Smith, N.J.H. 1976. “Brazil's Transamazon Highway Settlement Scheme: Agrovilas, Agropoli, and Ruropoli.” Proceedings, Association of American Geographers 8: 129132.Google Scholar
Song, Y. 2005. “Smart Growth and Urban Development Pattern: A Comparative Study.” International Regional Science Review 28(2): 239265.Google Scholar
Taylor, J.E. and Adelman, I. 2003. “Agricultural Household Models: Genesis, Evolution, and Extensions.” Review of Economics of the Household 1(1): 3358.Google Scholar
Turner, M.A. 2007. “A Simple Theory of Smart Growth and Sprawl.” Journal of Urban Economics 61(1): 2144.Google Scholar
Walker, R. Browder, J. Arima, E. Simmons, C. Pereira, R. Caldas, M. Shirota, R. and de Zen, S. 2009. “Ranching and the New Global Range: Amazonia in the 21st Century.” Geoforum 40(5): 732745.Google Scholar