Ben Youssef, Slim (2025): The determinants of forest area in Brazil: U-shaped relationship for GDP per capita and for value of agricultural production per hectare.
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Abstract
We evaluate the impact of gross domestic product per capita (GDPC), the value of agricultural production (VAP), and the value of agricultural production per hectare (VAPH) on the forest area in Brazil by considering annual time series data ranging from 1990 to 2022. The autoregressive distributed lag approach is used to estimate our long-run elasticities. The increase in the value of agricultural production reduces forest area in the long-run. However, the value of agricultural production per hectare and the gross domestic product per capita both have a U-shaped relationship with forest area. Indeed, with an increase in the VAPH (resp. GDPC), forest area decreases, then after a threshold point begins to increase. In Brazil, deforestation can be reversed by continuous economic growth accompanied by more propagation of environmental education within the population. Also, agricultural green technologies, as aeroponics for vegetable culture or smart agriculture, should be encouraged through subsidies or advantageous credits, as they increase the VAPH.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | The determinants of forest area in Brazil: U-shaped relationship for GDP per capita and for value of agricultural production per hectare |
| Language: | English |
| Keywords: | Value of agricultural production; Value of agricultural production per hectare; Gross domestic product per capita; U-shaped hypothesis; Autoregressive distributed lag; Brazil. |
| Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O44 - Environment and Growth O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O54 - Latin America ; Caribbean Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q1 - Agriculture > Q15 - Land Ownership and Tenure ; Land Reform ; Land Use ; Irrigation ; Agriculture and Environment |
| Item ID: | 127216 |
| Depositing User: | Prof. Slim Ben Youssef |
| Date Deposited: | 21 Jan 2026 10:28 |
| Last Modified: | 21 Jan 2026 10:28 |
| References: | Afonso, R., Miller, D.C., 2021. Forest plantations and local economic development: Evidence from Minas Gerais, Brazil. Forest Policy and Economics, 133, 102618. https://doi.org/10.1016/j.forpol.2021.102618. Ajanaku, B.A., Collins, A.R., 2021. Economic growth and deforestation in African countries: Is the environmental Kuznets curve hypothesis applicable? Forest Policy and Economics, 129, 102488. https://doi.org/10.1016/j.forpol.2021.102488. Aragão, R.B., Lima, M.G.B., Burns, G.L., Ross, H., Biggs, D., 2024. ‘Greenlash’ and reactionary stakeholders in environmental governance: An analysis of soy farmers against zero deforestation in Brazil. Forest Policy and Economics, 166, 103267. https://doi.org/10.1016/j.forpol.2024.103267. Ang, J. B., 2007. CO2 emissions, energy consumption, and output in France. Energy Policy, 35, 4772-4778. https://doi.org/10.1016/j.enpol.2007.03.032. Angelsen, A., 2010. Policies for reduced deforestation and their impact on agricultural production. Proceedings of the National Academy of Sciences of the United States of America, 107 (46), 19639-19644. https://doi.org/10.1073/pnas.0912014107. Aydin, M., Cutcu, I., Cayir, B., Magdalena, R., 2024. Investigating the role of biomass energy consumption and forest products trade on the forest footprint in Finland: an environmental Kuznets curve analysis. Environment, Development and Sustainability. https://doi.org/10.1007/s10668-024-05449-w. Barbier, E.B., Delacote, P., Wolfersberger, J., 2017. The economic analysis of the forest transition: A review. Journal of Forest Economics, 27, 10-17. https://doi.org/10.1016/j.jfe.2017.02.003. Barros, P. H. B. de., Stege, A. L., 2019. Deforestation and human development in the Brazilian agricultural frontier: An environmental Kuznets curve for MATOPIBA. Revista Brasileira de Estudos Regionais e Urbanos, 13 (2), 161–182. https://revistaaber.emnuvens.com.br/rberu/article/view/455. Benedek, Z., Fertő, I., 2020. Does economic growth influence forestry trends? An environmental Kuznets curve approach based on a composite Forest Recovery Index. Ecological Indicators, 112, 106067. https://doi.org/10.1016/j.ecolind.2020.106067. Bhattarai, M., Hammig, M., 2001. Institutions and the environmental Kuznets curve for deforestation: A crosscountry analysis for Latin America, Africa and Asia. World Development, 29 (6), 995-1010. https://doi.org/10.1016/S0305-750X(01)00019-5. Brown, R.L., Durbin, J., Evans, J.M., 1975. Techniques for testing the constancy of regression relations over time. Journal of the Royal Statistical Society, Series B, 37, 149–163. https://doi.org/10.1111/j.2517-6161.1975.tb01532.x. Carvalho, T.S., Domingues E.P., 2016. Economic and deforestation scenario for the Brazilian Amazon between 2006 and 2030. Nova Economia, 26 (2), 585–621. http://dx.doi.org/10.1590/0103-6351/2665. Caravaggio, N., 2022. Economic growth and forest transition in Latin America. Forest Policy and Economics, 135, 102667. https://doi.org/10.1016/j.forpol.2021.102667. Dickey, D.A., Fuller, W.A., 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74, 427-431. https://doi.org/10.1080/01621459.1979.10482531. Espindola, G.M., Silva Figueredo, E., Picanço Júnior, P., Reis Filho, A.A., 2021. Cropland expansion as a driver of land-use change: The case of Cerrado-Caatinga transition zone in Brazil. Environment, Development and Sustainability, 23, 17146–17160. https://doi.org/10.1007/s10668-021-01387-z. Faria, W.R., Almeida, A.N., 2016. Relationship between openness to trade and deforestation: Empirical evidence from the Brazilian Amazon. Ecological Economics, 121, 85-97. https://doi.org/10.1016/j.ecolecon.2015.11.014. Food and Agriculture Organisation, 2025. FAOSTAT. https://www.fao.org/faostat/en/#data. Grossman, G.M., Krueger, A.B., 1995. Economic growth and the environment. The Quarterly Journal of Economics, 110 (2), 353–377. https://doi.org/10.2307/2118443. Halkos, G., Skouloudis, A., 2020. Revisiting the dynamics of forest area change: A panel data assessment. Journal of Forest Economics, 35 (2-3), 107–127. http://dx.doi.org/10.1561/112.00000511. Huang, W., Deng, X., Lin, Y., Jiang, Q., 2010. An econometric analysis of causes of forestry area changes in northeast China. Procedia Environmental Sciences, 2, 557-565. https://doi.org/10.1016/j.proenv.2010.10.060. Hu, X., Wu, C., Hong, W., Qiu, R., Li, J., Hong, T., 2014. Forest cover change and its drivers in the upstream area of the Minjiang River, China. Ecological Indicators, 46, 121-128. https://doi.org/10.1016/j.ecolind.2014.06.015. Kauano, E.E., Silva, J.M.C., Filho, J.A.F.D., Michalski, F., 2020. Do protected areas hamper economic development of the Amazon region? An analysis of the relationship between protected areas and the economic growth of Brazilian Amazon municipalities. Land Use Policy, 92, 104473. https://doi.org/10.1016/j.landusepol.2020.104473. Lopes, C.L., Chiavari, J., 2024. Forest restoration in Brazil: Essential factors for promoting restoration at scale. Rio de Janeiro: Climate Policy Initiative. bit.ly/ForestRestorationInBrazil. Maertens, M., Zeller, M., Birner, R., 2006. Sustainable agricultural intensification in forest frontier areas. Agricultural Economics, 34 (2), 197-206. https://doi.org/10.1111/j.1574-0864.2006.00118.x. Mondal, P.C., Mukhopadhyay, A., Tippannanavar, M., Biswas, S., Meshram, S., 2025. Climate Change: Impacts on Forest Cover. In: Parray, J.A. (eds) Soil and Land Use Change. Sustainable Landscape Planning and Natural Resources Management. Springer, Cham. https://doi.org/10.1007/978-3-031-93075-1_11. Nagendra, H., 2007. Drivers of reforestation in human-dominated forests. Proceedings of the National Academy of Sciences of the United States of America, 104 (39), 15218 – 15223. https://doi.org/10.1073/pnas.0702319104. Pablo-Romero, M.P., Sánchez-Braza, A., Gil-Pérez, J., 2023. Is deforestation needed for growth? Testing the EKC hypothesis for Latin America. Forest Policy and Economics, 148, 102915. https://doi.org/10.1016/j.forpol.2023.102915. Pesaran, M.H., Pesaran, B., 1997. Working With Microfit 4.0: Interactive Econometric Analysis. Oxford University Press, Oxford. Pesaran, M.H., Smith, R.P., 1998. Structural analysis of cointegrating VARs. Journal of Economic Surveys, 12, 471–505. https://doi.org/10.1111/1467-6419.00065. Pesaran, M.H., Shin, Y., Smith, R.J., 2001. Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16, 289–326. https://doi.org/10.1002/jae.616. Pratzer, M., Fernández-Llamazares, Á., Meyfroidt, P., et al., 2023. Agricultural intensification, Indigenous stewardship and land sparing in tropical dry forests. Nature Sustainability, 6, 671–682. https://doi.org/10.1038/s41893-023-01073-0. Silva, J.M.C., Barbosa, L.C.F., Topf, J., Vieira, I.C.G., Scarano, F.R., 2022. Minimum costs to conserve 80% of the Brazilian Amazon. Perspectives in Ecology and Conservation, 20 (3), 216-222. https://doi.org/10.1016/j.pecon.2022.03.007. Silveira, F., Romero, J.P., Queiroz, A., Freitas, E., Stein, A., 2025. Economic complexity and deforestation in the Brazilian Amazon. World Development, 185, 106804. https://doi.org/10.1016/j.worlddev.2024.106804. Sousa, W. L., Irffi, G., Asevedo, M. D. G., 2022. Deforestation of the Atlantic Forest in the state of Ceará: Analysis of the Environmental Kuznets curve from panel data, 2011 to 2017. Revista de Economia e Sociologia Rural, 60(1), e229884. https://doi.org/10.1590/1806-9479.2021.229884. Souza, H., Barbosa, G., 2025. Testing Kuznets’ environmental hypothesis for the Legal Amazon: A nonlinear approach. Environment and Development Economics, 1-18. https://doi.org/10.1017/S1355770X25000063. Tan, J., Tachibana, S., 2025. Socioeconomic factors influencing forest area changes in China: Regional panel autoregressive distributed lag modeling approach. Japan Agricultural Research Quarterly, 59 (2), 175-186. https://doi.org/10.6090/jarq.24J05. Tan, J., Michinaka, T., Tachibana, S., 2022. Short- and long-run effects of socio-economic factors on forest dynamics in China. Nihon Ringakkai Shi/Journal of the Japanese Forestry Society, 104 (2), 74 – 81. https://doi.org/10.4005/jjfs.104.74. Toledo, E., Ochoa-Moreno, W. S., Alvarado, R., Cuesta, L., Murshed, M., Rehman, A., 2022. Forest Area: Old and New Factors That Affect Its Dynamics. Sustainability, 14(7), 3888. https://doi.org/10.3390/su14073888. Toto, R., Alix-García, J., Sims, K.R.E., Coutinho, B., Brenes, C.M., Pugliese, L., Mendes, A.F., 2025. Evidence on scaling forest restoration from the Atlantic Forest Restoration Pact in Brazil. Nature Communications, 16, 4715. https://doi.org/10.1038/s41467-025-59194-3. Tritsch, I., Arvor, D., 2016. Transition in environmental governance in the Brazilian Amazon: emergence of a new pattern of socio-economic development and deforestation. Land Use Policy, 59, 446-455. https://doi.org/10.1016/j.landusepol.2016.09.018. Xiao, H., Liu, J., He, G., Zhang, X., Wang, H., Long, T., Zhang, Z., Wang, W., Yin, R., Guo, Y., Cheng, B., Cao, Q., 2022. Data-driven forest cover change and its driving factors analysis in Africa. Frontiers in Environmental Science, 9, 780069. https://doi.org/10.3389/fenvs.2021.780069. Xu, L., He, Y., Zhang, L., Tang, C., Xu, H., 2025. Relationships and spatiotemporal variations of ecosystem services and land use in Alpine ecosystems: A case study of the Daxing’anling forest area, Inner Mongolia. Forests, 16, 359. https://doi.org/10.3390/f16020359. World Bank, 2025. World Development Indicators. Accessed at: https://databank.worldbank.org/source/world-development-indicators. Zivot, E., Andrews, D., 1992. Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business & Economic Statistics, 10 (3), 251-70. https://doi.org/10.1080/07350015.1992.10509904. |
| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/127216 |

