Three decades of changes in Brazilian municipalities and their food production systems.

Abstract: Agricultural systems are heterogeneous across temporal and spatial scales. Although much research has investigated farm size and economic output, the synergies and trade-offs across various agricultural and socioeconomic variables are unclear. This study applies a GIS-based approach to official Brazilian census data (Agricultural Censuses of 1995, 2006, and 2017) and surveys at the municipality level to (i) evaluate changes in the average soybean farm size across the country and (ii) compare agricultural and socioeconomic outcomes (i.e., soybean yield, agricultural production value, crop production diversity, and rural labor employment) relative to the average soybean farm size. Statistical tests (e.g., Kruskal-Wallis tests and Spearman´s correlation) were used to analyze variable outcomes in different classes of farm sizes and respective Agricultural Censuses. We found that agricultural and socioeconomic outcomes are spatially correlated with soybean farm size class. Therefore, based on the concepts of trade-offs and synergies, we show that municipalities with large soybean farm sizes had larger trade-offs (e.g., larger farm size was associated with lower crop diversity), while small and medium ones manifest greater synergies. These patterns are particularly strong for analysis using the Agricultural Census of 2017. Trade-off/synergy analysis across space and time is key for supporting long-term strategies aiming at alleviating unemployment and providing sustainable food production, essential to achieve the UN Sustainable Development Goals.

Saved in:
Bibliographic Details
Main Authors: SILVA, R. F. B. da, BATISTELLA, M., MILLINGTON, J. D. A., MORAN, E., MARTINELLI, L. A., DOU, Y., LIU, J.
Other Authors: RAMON FELIPE BICUDO DA SILVA, Michigan State University, Unicamp; MATEUS BATISTELLA, CNPTIA, Unicamp; JAMES D. A. MILLINGTON, King´s College London; EMILIO MORAN, Michigan State University; LUIZ A. MARTINELLI, CENA/USP; YUE DOU, Vrije Universiteit Amsterdam; JIANGUO LIU, Michigan State University.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2020-11-05
Subjects:Sistema de produção de alimentos, Food commodities, Crop diversity, Sustainable development goals, Food systems, Desenvolvimento Sustentável, Farm size, Sustainable development,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126325
https://doi.org/10.3390/land9110422
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-alice-doc-1126325
record_format koha
spelling dig-alice-doc-11263252020-11-06T09:16:07Z Three decades of changes in Brazilian municipalities and their food production systems. SILVA, R. F. B. da BATISTELLA, M. MILLINGTON, J. D. A. MORAN, E. MARTINELLI, L. A. DOU, Y. LIU, J. RAMON FELIPE BICUDO DA SILVA, Michigan State University, Unicamp; MATEUS BATISTELLA, CNPTIA, Unicamp; JAMES D. A. MILLINGTON, King´s College London; EMILIO MORAN, Michigan State University; LUIZ A. MARTINELLI, CENA/USP; YUE DOU, Vrije Universiteit Amsterdam; JIANGUO LIU, Michigan State University. Sistema de produção de alimentos Food commodities Crop diversity Sustainable development goals Food systems Desenvolvimento Sustentável Farm size Sustainable development Abstract: Agricultural systems are heterogeneous across temporal and spatial scales. Although much research has investigated farm size and economic output, the synergies and trade-offs across various agricultural and socioeconomic variables are unclear. This study applies a GIS-based approach to official Brazilian census data (Agricultural Censuses of 1995, 2006, and 2017) and surveys at the municipality level to (i) evaluate changes in the average soybean farm size across the country and (ii) compare agricultural and socioeconomic outcomes (i.e., soybean yield, agricultural production value, crop production diversity, and rural labor employment) relative to the average soybean farm size. Statistical tests (e.g., Kruskal-Wallis tests and Spearman´s correlation) were used to analyze variable outcomes in different classes of farm sizes and respective Agricultural Censuses. We found that agricultural and socioeconomic outcomes are spatially correlated with soybean farm size class. Therefore, based on the concepts of trade-offs and synergies, we show that municipalities with large soybean farm sizes had larger trade-offs (e.g., larger farm size was associated with lower crop diversity), while small and medium ones manifest greater synergies. These patterns are particularly strong for analysis using the Agricultural Census of 2017. Trade-off/synergy analysis across space and time is key for supporting long-term strategies aiming at alleviating unemployment and providing sustainable food production, essential to achieve the UN Sustainable Development Goals. 2020-11-06T09:16:00Z 2020-11-06T09:16:00Z 2020-11-05 2020 Artigo de periódico Land, v. 9, n. 11, p. 1-17, Nov. 2020. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126325 https://doi.org/10.3390/land9110422 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Sistema de produção de alimentos
Food commodities
Crop diversity
Sustainable development goals
Food systems
Desenvolvimento Sustentável
Farm size
Sustainable development
Sistema de produção de alimentos
Food commodities
Crop diversity
Sustainable development goals
Food systems
Desenvolvimento Sustentável
Farm size
Sustainable development
spellingShingle Sistema de produção de alimentos
Food commodities
Crop diversity
Sustainable development goals
Food systems
Desenvolvimento Sustentável
Farm size
Sustainable development
Sistema de produção de alimentos
Food commodities
Crop diversity
Sustainable development goals
Food systems
Desenvolvimento Sustentável
Farm size
Sustainable development
SILVA, R. F. B. da
BATISTELLA, M.
MILLINGTON, J. D. A.
MORAN, E.
MARTINELLI, L. A.
DOU, Y.
LIU, J.
Three decades of changes in Brazilian municipalities and their food production systems.
description Abstract: Agricultural systems are heterogeneous across temporal and spatial scales. Although much research has investigated farm size and economic output, the synergies and trade-offs across various agricultural and socioeconomic variables are unclear. This study applies a GIS-based approach to official Brazilian census data (Agricultural Censuses of 1995, 2006, and 2017) and surveys at the municipality level to (i) evaluate changes in the average soybean farm size across the country and (ii) compare agricultural and socioeconomic outcomes (i.e., soybean yield, agricultural production value, crop production diversity, and rural labor employment) relative to the average soybean farm size. Statistical tests (e.g., Kruskal-Wallis tests and Spearman´s correlation) were used to analyze variable outcomes in different classes of farm sizes and respective Agricultural Censuses. We found that agricultural and socioeconomic outcomes are spatially correlated with soybean farm size class. Therefore, based on the concepts of trade-offs and synergies, we show that municipalities with large soybean farm sizes had larger trade-offs (e.g., larger farm size was associated with lower crop diversity), while small and medium ones manifest greater synergies. These patterns are particularly strong for analysis using the Agricultural Census of 2017. Trade-off/synergy analysis across space and time is key for supporting long-term strategies aiming at alleviating unemployment and providing sustainable food production, essential to achieve the UN Sustainable Development Goals.
author2 RAMON FELIPE BICUDO DA SILVA, Michigan State University, Unicamp; MATEUS BATISTELLA, CNPTIA, Unicamp; JAMES D. A. MILLINGTON, King´s College London; EMILIO MORAN, Michigan State University; LUIZ A. MARTINELLI, CENA/USP; YUE DOU, Vrije Universiteit Amsterdam; JIANGUO LIU, Michigan State University.
author_facet RAMON FELIPE BICUDO DA SILVA, Michigan State University, Unicamp; MATEUS BATISTELLA, CNPTIA, Unicamp; JAMES D. A. MILLINGTON, King´s College London; EMILIO MORAN, Michigan State University; LUIZ A. MARTINELLI, CENA/USP; YUE DOU, Vrije Universiteit Amsterdam; JIANGUO LIU, Michigan State University.
SILVA, R. F. B. da
BATISTELLA, M.
MILLINGTON, J. D. A.
MORAN, E.
MARTINELLI, L. A.
DOU, Y.
LIU, J.
format Artigo de periódico
topic_facet Sistema de produção de alimentos
Food commodities
Crop diversity
Sustainable development goals
Food systems
Desenvolvimento Sustentável
Farm size
Sustainable development
author SILVA, R. F. B. da
BATISTELLA, M.
MILLINGTON, J. D. A.
MORAN, E.
MARTINELLI, L. A.
DOU, Y.
LIU, J.
author_sort SILVA, R. F. B. da
title Three decades of changes in Brazilian municipalities and their food production systems.
title_short Three decades of changes in Brazilian municipalities and their food production systems.
title_full Three decades of changes in Brazilian municipalities and their food production systems.
title_fullStr Three decades of changes in Brazilian municipalities and their food production systems.
title_full_unstemmed Three decades of changes in Brazilian municipalities and their food production systems.
title_sort three decades of changes in brazilian municipalities and their food production systems.
publishDate 2020-11-05
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126325
https://doi.org/10.3390/land9110422
work_keys_str_mv AT silvarfbda threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
AT batistellam threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
AT millingtonjda threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
AT morane threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
AT martinellila threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
AT douy threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
AT liuj threedecadesofchangesinbrazilianmunicipalitiesandtheirfoodproductionsystems
_version_ 1756027203479404544