Published July 1, 2021 | Version v1
Dataset Open

Degraded pastures: technical efficiency, stocking rates, pasture allocation and rural credit data

  • 1. World Resources Institute
  • 2. EPGE/FGV and IPEA*

Description

Degraded pasture is a major liability in Brazilian agriculture, but restoration and recovery efforts could turn this area into a new frontier to both agricultural yield expansion and forest restoration. Currently, rural properties with larger degraded pasture areas are associated with higher levels of technical inefficiency in Brazil. The recovery of 12 million ha of degraded pastures could generate an additional production of 17.7 million bovines while reducing the need for new agricultural land. Regional identification of degraded pastures would facilitate the targeting of agricultural extension and advisory services and rural credit efforts aimed at fostering pasture recovery. Since only 1% of Brazilian municipalities contain 25% of degraded pastures, focusing pasture recovery efforts on this small group of municipalities could generate considerable benefits. More efficient allocation of degraded and native pastures for meat production and forest restoration could provide land enough to fully comply with its Forest Code requirements, while adding 9 million heads to the cattle inventory. Degraded pasture recovery and restoration is a win–win strategy that could boost livestock husbandry and avoid deforestation in Brazil and have to be the priority strategy of agribusiness sector.

Notes

Detailed information can be found in Supplemental Material of the manuscript under label rsos-201854.R1.

Original data on Brazilian Agricultural Census is available at https://sidra.ibge.gov.br/pesquisa/censo-agropecuario/censo-agropecuario-2017

Original data on Rural Credit in Brazil is available at https://olinda.bcb.gov.br/olinda/servico/SICOR/versao/v2/aplicacao#!/recursos

In our dataset, missing values are identified as "." Missing data is absence of information in the original source (Brazilian Agricultural Census and/or Rural Credit in Brazil). 

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Additional details

Related works

Is source of
10.5281/zenodo.5043777 (DOI)