Access the full text.
Sign up today, get DeepDyve free for 14 days.
R. Bourke (2001)
Intensification of Agricultural Systems in Papua New GuineaAsia Pacific Viewpoint, 42
(1988)
Oil Windfalls: Blessings or Curse
D. Reed (2019)
Structural Adjustment and the Environment
R. Houghton, D. Lefkowitz, D. Skole (1991)
Changes in the landscape of Latin America between 1850 and 1985 I. Progressive loss of forestsForest Ecology and Management, 38
W. Sunderlin, O. Ndoye, H. Bikié, N. Laporte, B. Mertens, J. Pokam (2000)
Economic crisis, small-scale agriculture, and forest cover change in southern CameroonEnvironmental Conservation, 27
R. Cooper, I. Little, R. Cooper, W. Corden, S. Rajapatirana (1994)
Boom, Crisis, and Adjustment: The Macroeconomic Experience of Developing CountriesForeign Affairs, 73
S. Mainardi (1998)
AN ECONOMETRIC ANALYSIS OF FACTORS AFFECTING TROPICAL AND SUBTROPICAL DEFORESTATIONAgrekon, 37
T. Rudel, J. Roper (1997)
The paths to rain forest destruction: Crossnational patterns of tropical deforestation, 1975-1990World Development, 25
C. Larrea (1992)
Mirage of development : oil, employment, and poverty in Ecuador (1972-1990)
(1991)
“ Ecuador . ” In
J. Hogendorn, P. Collier, J. Gunning (2001)
Trade Shocks in Developing CountriesAfrican Economic History
(1988)
Ecuador: Windfalls of a New Exporter.
W. Sunderlin, J. Pokam (2002)
Economic Crisis and Forest Cover Change in Cameroon: The Roles of Migration, Crop Diversification, and Gender Division of Labor*Economic Development and Cultural Change, 50
J. Neary, S. Wijnbergen (1985)
Natural resources and the macroeconomy : a theoretical frameworkResearch Papers in Economics
D. Bevan, P. Collier, J. Gunning (1999)
Nigeria and Indonesia
(2001)
“ Dimensions of Papua New Guinea Village Agriculture . ” Paper presented at Papua New Guinea Food and Nutrition 2000 Conference
P. Mayaux, F. Achard, J. Malingreau (1998)
Global tropical forest area measurements derived from coarse resolution satellite imagery: a comparison with other approachesEnvironmental Conservation, 25
Jonathan Adams, T. McShane (1998)
The Myth of Wild Africa: Conservation Without Illusion
D. Kaimowitz, Erwidodo, O. Ndoye, P. Pacheco, P. Balanza, W. Sunderlin (1998)
Considering the impact of structural adjustment policies on forests in Bolivia, Cameroon and Indonesia, 49
W. Sunderlin, J. Rodríguez (1996)
Cattle, broadleaf forests and the agricultural modernization law of Honduras: the case of Olancho
S. Wunder (2000)
The economics of deforestation: the example of Ecuador.
Author Corden (1984)
BOOMING SECTOR AND DUTCH DISEASE ECONOMICS: SURVEY AND CONSOLIDATION, 36
D. Kaimowitz, A. Angelsen (1998)
Economic models of tropical deforestation: a review.
A. Contreras-Hermosilla (2000)
The underlying causes of forest decline
A. Grainger (1996)
An Evaluation of the FAO Tropical Forest Resource Assessment, 1990The Geographical Journal, 162
(1984)
Dutch Disease in Developing Countries: Swallowing Bitter Medicine.
A. Angelsen, D. Kaimowitz (1999)
Rethinking the causes of deforestation: lessons from economic models.The World Bank research observer, 14 1
David Lubin (1992)
Aid and power: the World Bank and policy-based lendingInternational Affairs, 68
H. Geist, E. Lambin (2001)
What drives tropical deforestation?: a meta-analysis of proximate and underlying causes of deforestation based on subnational case study evidence
P. Collier (2000)
Economic Causes of Civil Conflict and their Implications for Policy
E. Barbier (2001)
The Economics of Tropical Deforestation and Land Use: An Introduction to the Special IssueLand Economics, 77
(2001)
Understanding the Forest Resources Assessment 2000
Lee Onn (2003)
Timber Booms and Institutional Breakdown in Southeast Asia (review)ASEAN Economic Bulletin, 20
F. Pichón (1997)
Settler households and land-use patterns in the Amazon frontier: Farm-level evidence from EcuadorWorld Development, 25
B. Heredia (1998)
The Paradox of Plenty: Oil Booms and Petro-States Terry Lynn Karl Berkeley: University of California Press, 1997, pp. xviii, 342Canadian Journal of Political Science, 31
Alexander Wood, P. Stedman-Edwards, J. Mang (2000)
The Root Causes of Biodiversity Loss
W. Sunderlin, S. Wunder (2000)
The influence of mineral exports on the variability of tropical deforestationEnvironment and Development Economics, 5
B. Mertens, E. Lambin (2000)
Land-Cover-Change Trajectories in Southern CameroonAnnals of the Association of American Geographers, 90
B. Allen, R. Bourke, L. Hanson (2001)
Dimensions of PNG Village Agriculture
L. Prasetyo (1996)
Application of geographical information system (GIS) for land-use changes study toward better understanding of deforestation process : case studies in Jabotabek and South Sumatra, Indonesia
How does an oil boom affect the forest cover of tropical oil-exporting countries? What macroeconomic linkages and policies are decisive? A comparison of research findings on long-run land-use changes in eight tropical developing economies reveals that the direct physical impacts of the oil industry on forests are unquestionably less than its derived macroeconomic impact. In most cases oil wealth indirectly but significantly protects tropical forests. The core mechanism is that oil rents cause macroeconomic “Dutch disease” decreasing the price competitiveness of agriculture and logging, strongly diminishing pressures for forest degradation and deforestation. But domestic policy responses to oil wealth are also vital determinants of the forest outcome. When governments use oil wealth for urban spending sprees, this reinforces the core effect by pulling more labor out of land-using and forest-degrading activities. When oil revenues finance road construction or frontier colonization, however, the core forest-protective effect can be reversed. Repeated currency devaluation and import protection of land-using domestic sectors also increase pressures on forests. Other international capital transfers, like bilateral credits, aid, or debt relief, can have impacts similar to those of oil wealth, either alleviating pressures on forests or aggravating specific forest-detrimental policies. These insights point to forest-friendly safeguards that can realistically be made in the design of structural adjustment programs, considering the important tradeoffs between development and conservation objectives.
The World Bank Research Observer – Oxford University Press
Published: Sep 1, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.