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Brazil has favored agribusiness instead of family farming. In the agribusiness production networks, food is nottreated as a social right, but rather as a commodity whose primary purpose is to obtain profit. This paper aims to contribute to the debate on the intrinsic relationship between agribusiness expansion and hunger in Brazil. Our starting point are some of the pillars that support food as a commodity, like ultra-processed food and economic concentration in its production and distribution. The methodology was structured according to the basic principles of qualitative research for the construction of a critical analysis. We conclude that in addition to the increase in production and productivity of agribusiness, we have the growth of people without access to food, showing that these processes are sides of the same coin. We also note that although hunger increased exponentially during the COVID-19 pandemic, agri-food businesses and supermarkets were among the most profitable during this period. [ABSTRACT FROM AUTHOR]

The way the researcher groups his research data will influence the result of his work. In the literature, this phenomenon is treated as a Problem of the Modifiable Areal Unit. The objective of this article was to analyze the three spatial levels by Municipalities, Regional Centers and Mesoregions using the following data: gross domestic product, effective agricultural production, grain production and gross value of agricultural production for the state of Paraná-Brazil in the period since 2012 until 2015. The methodological procedure studied data from the Paranaense Institute for Economic and Social Development of the above-named variables collected on the website of the Paranaense Institute for Economic and Social Development of the 399 municipalities, 23 regional centers and 10 mesoregions. The results found show the presence of the Modifiable Areal Unit Problem, presenting different results for each level of grouping. The study revealed the problem of the modifiable areal unit is a relevant occurrence and it should be disregarded by researchers who work with clusters of spatial data in their studies. The results found allow a better understanding of the scale effect and demonstrate the efficiency of spatial analysis in socioeconomic data. [ABSTRACT FROM AUTHOR]

Greenhouse gas emissions related to food production in selected countries around the world in 2000, 2007, and 2014 were analyzed in this paper. In recent decades, many studies have suggested that greenhouse gas emissions mostly caused by agricultural production should be reduced. However, a low-carbon agricultural sector often involves a reduction in inputs, which may result in smaller production volumes. Nevertheless, the overarching goal should be to maintain food production at a sufficient level to meet the population's food requirements. Food production is particularly important in the context of the forecasted growth of the world population. In this situation, greenhouse gas emissions per product unit should be regarded as a key indicator that reflects the environmental sustainability level of production processes. Defined as such, environmental sustainability was examined across the entire food production system—referred to as agribusiness. This study calculated the emissions of major greenhouse gases related to food production and compared them to the GDP of agribusiness. The average ratio of the agribusiness carbon footprint to GDP in countries examined was nearly 2 kg of CO 2 equivalent/USD in 2000. This value kept decreasing during the study period, reaching 1.21 in 2014. A decrease in the ratio was recorded despite an increase in agribusiness greenhouse gas emissions, which validated the research hypothesis that an increase in greenhouse gas emissions from agribusiness does not necessarily reflect a decline in the environmental performance of agribusiness production. This is especially true for China and Brazil, whose greenhouse gas emissions related to food production increased considerably in the years examined in this study along with a clear decline in emission levels per unit of agribusiness GDP. This study is innovative, because the literature does not provide any similar calculations for the food production subsystem, especially regarding emission levels per production unit. This approach required the authors to integrate the calculation methods used in agribusiness production with those applicable to agribusiness greenhouse gas emissions. Thus, this study relied on consistent methods developed by the authors to calculate these values. The research adds to existing literature by calculating the carbon footprint for the entire food production system, and it argues that better environmental performance of agribusiness production can be achieved despite higher greenhouse gas emissions. [ABSTRACT FROM AUTHOR]