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Copyright of Revista de Economia e Sociologia Rural is the property of Sociedade Brasileira de Economia e Sociologia Rural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Beef cattle ranching is the main economic activity in the Brazilian Pantanal, undertaken in an extensive manner, mostly in natural environments and dynamic in space and time. The ongoing monitoring, assessment, and performance improvement are key aspects of the search for sustainable use of natural resources in beef cattle ranches, as these ranches are the management units in the Pantanal. In this paper we proposed a data envelopment analysis (DEA) approach to assess the performance of fourteen beef cattle ranches in the Pantanal wetland as a case study, considering financial, productive, and environmental sustainability dimensions. We modeled each dimension separately and calculated an overall performance score. We also fit fractional regression models to study the influence of potential covariates on the performance scores. The methodological approach proposed here proved to be adequate for the case study, as the results are in line with the expectations of decision-makers regarding the performance of the ranches. The overall performance analysis was influenced by the proportion of higher quality native forage resources, which depends on the dynamics and on the spatial-temporal variation of the landscapes. Therefore, overall performance requires adaptive management of ranches based on diversity conservation, which benefits the multifunctionality of products and services. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Research in the Tropics / Pesquisa Agropecuária Tropical is the property of Pesquisa Agropecuaria Tropical and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The objective of the work is to study the presence of organic agriculture and/or livestock on the income of agricultural establishments registered in the 2017 agricultural census. The analysis is based on data aggregated in a municipal scale. The presence of organic production is characterized regionally through contingency tables, via chi-square and covariance analysis, taking as contextual variables: regions, income classes, area, technical assistance, cooperatives, literacy, credit and area. A stochastic production frontier is also fit and identifies, at the municipality level, the effect of factors that directly affect production (gross income) and the technical inefficiency component. The number of establishments that practice organic agriculture and/or livestock decreased from 90,498 (in 2006) to 64,690 (in 2017). The predominance of organic agriculture is in the Southeast and the smallest proportion is in the Center-West. The predominant gross income class for establishments that practice livestock and/or organic agriculture, in all regions, is the class between zero to two minimum wages. Access to credit, membership in cooperatives, the level of literacy and access to technical assistance are the main factors necessary to promote income improvement. The fundamental input factors for productive inclusion are technology and labor with technology dominance. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Research in the Tropics / Pesquisa Agropecuária Tropical is the property of Pesquisa Agropecuaria Tropical and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)