Biofuels and Land Use Change: Sugarcane and Soybean Acreage Response in Brazil

Environmental and Resource Economics

Volumn 51, Issue 2, 2012, Pages 163-187

  Hausman, Catherine ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Acreage response; Biofuels; Land use

Indexed keywords

BIOFUELS; COSTS; CROPS; ECOLOGY; ECONOMICS; ELASTICITY; FINANCIAL MARKETS;

ACREAGE RESPONSE; AGRICULTURAL LAND; BIOFUELS PRODUCTION; DYNAMIC PANEL DATA; IMPACT ASSESSMENTS; NATURAL ECOSYSTEM; PRICE ELASTICITY; SPOT AND FUTURES PRICES;

LAND USE;

AGRICULTURAL LAND; BIOFUEL; CERRADO; ENVIRONMENTAL ECONOMICS; ENVIRONMENTAL IMPACT ASSESSMENT; LAND USE CHANGE; SOYBEAN; SPATIOTEMPORAL ANALYSIS; SUGAR CANE;

BRAZIL;

GLYCINE MAX; ZEA MAYS;

EID: 84855962188     PISSN: 09246460     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10640-011-9493-7     Document Type: Article

References (27)

1. Anderson TW, Hsiao C (1982) Formulation and estimation of dynamic models using panel data. J Econ 18: 570-606.
2. Askari H, Cummings JT (1977) Agricultural supply response with the Nerlove model: a survey. Int Econ Rev 18(2): 257-292.
3. Attanasio OP, Picci L, Scorcu AE (2000) Saving, growth, and investment: a macroeconomic analysis using a panel of countries. Rev Econ Stat 82: 182-211.
4. Balcome K, Rapsomanikis G (2008) Bayesian estimation and selection of nonlinear vector error correction models: the case of the sugar-ethanol-oil Nexus in Brazil. Am J Agric Econ 90: 658-668.
5. Banerjee A (1999) Panel data unit roots and cointegration: an overview. Oxf Bull Econ Stat Special Issue 61(S1): 607-629.
6. Chavas J, Holt M (1990) Acreage decisions under risk: the case of corn and soybeans. West J Agric Econ 72: 27-33.
7. Fearnside PM (2001) Soybean cultivation as a threat to the environment in Brazil. Environ Conserv 28: 23-38.
8. Gardner BL (1976) Futures prices in supply analysis. Am J Agric Econ 58: 81-84.
9. Gurgel A, Reilly JM, Paltsev S (2007) Potential land use implications of a global biofuels industry. J Agric Food Ind Organ 5/2. Article no. 9.
10. InstitutoBrasileirodeGeografiae Estatística (IBGE) (2002) Pesquisas agropecuarias, 2nd ed. IBGE, Rio de Janeiro.
11. Instituto de Pesquisa Econômica Aplicada (IPEA). http://www. ipeadata. gov. br.
12. Judson RA, Owen AL (1999) Estimating dynamic panel data models: a guide for macroeconomists. Econ Lett 65: 9-15.
13. Kiviet JF (1995) On bias, inconsistency, and efficiency of various estimators in dynamic panel data models. J Econ 68: 53-78.
14. Klink CA, Machado R (2005) Conservation of the Brazilian Cerrado. Conserv Biol 19: 707-713.
15. Lin W, Dismukes R (2006) Supply response under risk: implications for counter-cyclical payments' production impact. Rev Agric Econ 29: 64-86.
16. Melillo JM, Reilly JM, Kicklighter DW, Gurgel AC, Cronin TW, Paltsev S, Felzer BS, Wang X, Sokolov AP, Schlosser CA (2009) Indirect emissions from biofuels: how important?. Science 326: 1397-1399.
17. Nagavarapu S (2010) Implications of unleashing Brazilian ethanol: trading off renewable fuel for how much forest and Savanna Land?. Working paper.
18. Nelson GC, Robertson RD (2008) Green gold or green wash: environmental consequences of biofuels in the developing world. Rev Agric Econ 30: 517-529.
19. Nerlove M (1956) Estimates of the elasticities of supply of selected agricultural commodities. J Farm Econ 38: 496-509.
20. Nerlove M, Bessler DA (2001) Expectations, information and dynamics. Handb Agric Econ 1: 155-206.
21. Nickell S (1981) Biases in dynamic models with fixed effects. Econometrica 49: 1417-1426.
22. Pfaff A, Robalino J, Walker R, Aldrich S, Caldas M, Reis E, Perz S, Bohrer C, Arima E, Laurance W, Kirby K (2007) Road investments, spatial spillovers, and deforestation in the Brazilian Amazon. J Reg Sci 47: 109-123.
23. Pirotte A (1999) Convergence of the static estimation toward the long run effects of dynamic panel data models. Econ Lett 63: 151-158.
24. Rask K (1995) The structure of technology in Brazilian sugarcane production, 1975-1987. J Appl Econ 10: 221-232.
25. Searchinger T, Heimlich R, Houghton RA, Dong F, Elobeid A, Fabiosa J, Tokgoz S, Hayes D, Yu T (2008) Use of US croplands for biofuels increases greenhouse gases through emissions from land-use change. Science 319: 1238-1240.
26. Stock JH, Wright JH, Yogo M (2002) A survey of weak instruments and weak identification in generalized method of moments. J Bus Econ Stat 20: 518-529.
27. United States Department of Agriculture (UDSA) (2007) Crop calendars. http://www. usda. gov/oce/weather/CropCalendars/index. htm.