Food Self-Sufficiency Indicators for Agribusiness Territories in Mato Grosso, Brazil

Socioeconomic and agricultural production data from three municipalities in Mato Grosso, Brazil, were collected from the IBGE Demographic Census (2010), Agricultural Census (2006), and other IBGE sources up to 2016. Márcia Leopoldina Montanari Corrêa developed composite indicators to assess food self-sufficiency, analyzing crops like cotton, rice, banana, coffee, sugarcane, citrus, beans, sunflower, corn, soybean, and tomato. The study highlights territorial inequities, food dependence, and increased pesticide use linked to the agribusiness model.

Use Cases

• Modeling the relationship between commodity crop expansion and local food production based on cultivated area data.
• Assessing regional food self-sufficiency using composite socioeconomic and agricultural indicators.
• Analyzing the socioeconomic implications of agribusiness models based on census and interview data.

Strengths

• Data integrates multiple authoritative sources, including the IBGE Demographic Census (2010) and Agricultural Census (2006).
• Analysis covers 11 specific crop types (e.g., cotton, rice, soybean) across three municipalities.
• Methodology combines quantitative data with qualitative insights from interviews with rural workers.

Limitations

• Row count and specific column definitions are unknown, limiting suitability assessment.
• The temporal coverage is mixed, with data points ranging from 2006 to 2016.
• Data is focused on three specific municipalities, which may limit generalizability.

Provenance

Source

Brazilian Institute of Geography and Statistics (IBGE) census data and system (Sidra), plus author-conducted interviews.

Collection Method

Data collection from official censuses and surveys, supplemented by field interviews.

Time Range

Primary data spans 2006 to 2016.

Geography

Municipalities of Campos de Júlio, Sapezal, and Campo Novo dos Parecis in Mato Grosso state, Brazil.