FACTORS THAT INDUCE THE RECOVERY OF DEGRADED PASTURES BY FARMERS OF THE RIO DAS CONTAS HYDROGRAPHIC BASIN

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Attawan Guerino Locatel Suela

Resumo

The present article identified what would be the impacts on the productive quantity of five large agricultural segments, if there was an increase in GHG emissions in Brazil. Methodologically, a Structural Vector Auto Regression Model was structured and operated with data between the years 1970 and 2018. The following information was used: the level of emissions produced by the Agriculture, Forestry and Other Land Use (AFOLU) sector, the quantity of sugarcane, corn and coffee produced, as well as the cattle and swine breeding stock. In general, the results obtained reveal the importance of controlling the level of emissions generated, as there was a reduction in the production of all studied segments. Thus, considering emissions from AFOLU, it is concluded that all sectors chosen for the study will suffer losses in production if there is no control over future emissions, indicating the need for pro-environmental public policies for the agricultural sectors.

Detalhes do artigo

Como Citar
LOCATEL SUELA, A. G. L. FACTORS THAT INDUCE THE RECOVERY OF DEGRADED PASTURES BY FARMERS OF THE RIO DAS CONTAS HYDROGRAPHIC BASIN. Revista Eletrônica Multidisciplinar de Investigação Científica, Brasil, v. 2, n. 2, 2023. DOI: 10.56166/remici.2023.5.v2n2.1.9. Disponível em: https://remici.com.br/index.php/revista/article/view/70. Acesso em: 23 nov. 2024.
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Artigos

Referências

AKLIN, M. et al. Understanding environmental policy preferences: new evidence from Brazil. Ecological Economics, v. 94, p. 28-36, 2013. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S092180091300181X. Acessado em: Fev, 2023.

BELOW, T. B. et al. Can farmers’ adaptation to climate change be explained by socio-economic household-level variables? Global environmental change, v. 22, n. 1, p. 223-235, 2012. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0959378011001993. Acessado em: Fev, 2023.

FAO - Food and Agriculture Organization of the United Nations. Climate-Smart Agriculture. 2013. Disponível: < http://www.fao.org/docrep/018/i3325e/i3325e.pdf>. Acessado em: Jun, 2017.

GURGEL, A. C.; LAURENZANA, R. D. Desafios e oportunidades da agricultura brasileira de baixo carbono. Agricultura, transformação produtiva e sustentabilidade. Brasília. p. 343 – 366. 2016. Disponível em: https://repositorio.ipea.gov.br/bitstream/11058/9262/1/Desafios%20e%20oportuniddes.pdf. Acessado em: Fev, 2023.

HARTTER, J. Attitudes of Rural Communities Toward Wetlands and Forest Fragments Around Kibale National Park, Uganda. Human Dimensions of Wildlife: An International Journal, v. 14, p. 433-447, 2009. Disponível em: https://www.tandfonline.com/doi/abs/10.1080/10871200902911834. Acessado em: Fev, 2023.

HYLAND, J. J. et al. Farmers’ perceptions of climate change: identifying types. Agriculture and Human Values, v. 33, n. 2, p. 323-339, 2016. Disponível em: https://eprints.whiterose.ac.uk/90045/1/HylandFarmerTypes.pdf. Acessado em: Fev, 2023.

IKEDA, R. N. et al. Contextos, cultura e subalternidade no cinema brasileiro contemporâneo. Interfaces Científicas-Humanas e Sociais, v. 4, n. 2, p. 63-72, 2015. Disponível em: https://periodicos.set.edu.br/humanas/article/view/2433/1550. Acessado em: Fev, 2023.

KASTNER, T. et al. Global changes in diets and the consequences for land requirements for food. Proceedings of the National Academy of Sciences, v. 109, n. 18, p. 6868-6872, 2012. Disponível em: https://www.pnas.org/doi/pdf/10.1073/pnas.1117054109. Acessado em: Fev, 2023.

KHATRI-CHHETRI, A. et al. Farmers' prioritization of climate-smart agriculture (CSA) technologies. Agricultural systems, v. 151, p. 184-191, 2017. Disponível em: https://www.sciencedirect.com/science/article/pii/S0308521X1630645X. Acessado em: Fev, 2023.

MACHADO FILHO, H. de O. et al. Climate change and its impacts on family farming in the North/Northeast regions of Brazil. Policy Research Brief-International Policy Centre for Inclusive Growth (IPC-IG), n. 52, 2016. Disponível em: https://www.cabdirect.org/cabdirect/abstract/20163220173. Acessado em: Fev, 2023.

MATOS, S. C. Percepção e Adaptação às Mudanças Climáticas de Agricultores da Bacia Hidrográfica do Rio das Contas, Bahia. 2016. 121f. Dissertação. Economia Aplicada – Universidade Federal de Viçosa. Minas Gerais. Acessado em: Jan. 2023. Disponível em: https://www.locus.ufv.br/bitstream/123456789/7834/1/texto%20completo.pdf. Acessado em: Fev, 2023.

MEYER, A. Does education increase pro-environmental behavior? Evidence from Europe. Ecological Economics, v. 116, p. 108-121, 2015. Disponível em: https://epublications.marquette.edu/cgi/viewcontent.cgi?article=1530&context=econ_fac. Acessado em: Fev, 2023.

NASA. Global Temperatura. 2016. Disponível em: <https://climate.nasa.gov/vital-signs/global-temperature/>. Acessa em: Jun, 2017.

OBSERVATÓRIO DO CLIMA. Análise da evolução das emissões de GEE no Brasil (1990-2012). São Paulo, p 21, 2014. Disponível em: < https://www.oc.eco.br/analise-da-evolucao-das-emissoes-de-gee-no-brasil-1990-2012-setor-de-energia/>. Acessado em: Jan, 2022.

PAULA, F. C. F. et al. Emissões naturais e antrópicas de metais e nutrientes para a bacia inferior do Rio de Contas, Bahia. Química Nova, v. 33, p. 70-75, 2010. Disponível em: https://www.scielo.br/j/qn/a/BB8ByHfpGxgSh5LpLNk4kGq/?lang=pt. Acessado em: Jan, 2022.

ROCKSTRÖM, J. et al. Sustainable intensification of agriculture for human prosperity and global sustainability. Ambio, v. 46, n. 1, p. 4-17, 2017. Disponível em: https://link.springer.com/article/10.1007/s13280-016-0793-6. Acessado em: Jan, 2022.

SUELA, A G. L. et al. Efeitos Ambientais da Implementação do Plano ABC no MATOPIBA: Uma Abordagem por Insumo-Produto. Revista Brasileira de Estudos Regionais e Urbanos. 2020a. Disponível em: https://revistaaber.org.br/rberu/article/view/654. Acesso em: Fev, 2023.

SUELA, A. G. L. et al. Conhecimento, percepção climática e comportamento pró-ambiental na agricultura. Revista Econômica do Nordeste, v. 51, n. 3, p. 193-206, 2020b. Disponível em: https://g20mais20.bnb.gov.br/revista/index.php/ren/article/view/1126. Acessado em: Jan, 2022.

SUELA, A. G. L. et al. Análise de impacto econômico e relações setoriais entre MATOPIBA e o restante do brasil: uma abordagem por insumo-produto/Economic Impact Analysis and Sectorial Relations between MATOPIBA and the Rest of Brazil: An Input-Output Approach. Informe GEPEC, v. 26, n. 1, p. 62-86, 2021. Disponível em: https://e-revista.unioeste.br/index.php/gepec/article/view/27994. Acessado em: Jan, 2022.