http://repositorio.ufgd.edu.br/jspui/handle/prefix/5829 Sun, 18 Oct 2026 22:47:39 GMT 2026-10-18T22:47:39Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/7151 Título: Criação de valor e flexibilidade gerencial em sistemas agrícolas: desempenho da sucessão soja-milho e diversificação com amendoim Autor(es): Galego, Joyce Castro Xavier Primeiro Orientador: Ruviaro, Clandio Favarini Abstract: The increasing capital intensity and high levels of uncertainty that characterize agricultural activities make the assessment of economic performance and investment decision-making on rural properties more complex. In this context, this thesis aimed to evaluate the economic performance of the soybean second-crop maize succession system on a rural property located in the state of Mato Grosso do Sul, Brazil, and to analyze the economic feasibility of production diversification through peanut cultivation, incorporating the value of managerial flexibility. To this end, a systematic literature review of investment analysis methodologies applied to agriculture was conducted, followed by the application of the Economic Value Added (EVA) framework to assess the economic performance of the production system and Real Options Theory (ROT) to analyze the diversification decision. The systematic literature review revealed the predominance of traditional investment analysis methods, particularly Net Present Value (NPV), despite their limitations in incorporating the uncertainty and managerial flexibility inherent in agricultural investment decisions. The application of EVA demonstrated that economic value creation by the soybean–maize succession system was unstable throughout the period analyzed, with soybean exhibiting better economic performance than maize. Under uncertain conditions, Monte Carlo simulation indicated a 73.1% probability of economic value destruction. Spearman correlation analysis identified soybean price, operating costs, and productivity as the variables most strongly associated with EVA. The analysis of production diversification showed that peanut cultivation constitutes an economically viable alternative, while the application of Real Options Theory demonstrated that incorporating managerial flexibility increases the economic value of the investment compared with traditional analysis. It is concluded that the complementary use of Economic Value Added and Real Options Theory provides a more comprehensive assessment of economic performance and investment decisions in agricultural systems subject to uncertainty. Editor: Universidade Federal da Grande Dourados Tipo: Tese Tue, 18 Aug 2026 00:00:00 GMT http://repositorio.ufgd.edu.br/jspui/handle/prefix/7151 2026-08-18T00:00:00Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/7107 Título: Entre o balanço de carbono e narrativas: estratégias de comunicação para a sustentabilidade da pecuária de corte brasileira Autor(es): Camilo, Leandro Renne Primeiro Orientador: Ruviaro, Clandio Favarini Abstract: The objective of this thesis was to propose an analytical and applied model to understand and guide digital communication about carbon balance and sustainability in Brazilian beef cattle production, based on the identification of narratives, discursive framings, and forms of translation of scientific knowledge observed in audiovisual content published on YouTube and Instagram. The research was based on the observation that growing concern about climate change and sustainability has intensified public debate regarding the environmental impacts of beef production, often characterized by conceptual oversimplifications, misinformation, and competing narratives in digital environments. Methodologically, the study was structured in three complementary stages. First, a literature review on communication, sustainability, and beef cattle production was conducted. Next, a scoping review of the literature was carried out, guided by systematized procedures for searching, selecting, and mapping evidence, supported by the SysMap® method and by transparency principles associated with PRISMA-ScR, aiming to map scientific production on communication in agribusiness, identify approaches, strategies, and communication theories used in this field, and recognize gaps related to sustainability communication. Finally, a qualitative study was developed based on thematic content analysis of 23 videos published on YouTube® and Instagram® between 2019 and 2026, addressing topics related to carbon balance, greenhouse gas emissions, and sustainability in Brazilian livestock production. The results showed that communication about carbon balance in livestock production takes place in an environment characterized by competing narratives and varying levels of informational complexity. Five predominant communication patterns were identified: environmental moralization of livestock production, scientific correction of simplified perceptions, reputation defense anchored in institutions, algorithmic didacticization, and disputes over the framing of carbon and climate responsibility. As the main contribution of the thesis, the MCABCPA – Adaptive Communication Model for Carbon Balance in Brazilian Livestock Production was proposed, structured around five integrated dimensions: scientific, translational, strategic, digital, and interactive. The model is delimited as an analytical and applied instrument for organizing narrative elements, disseminated content, and observable forms of interaction, without claiming to demonstrate causal effects on consumers, purchase intention, public acceptance of technologies, or communication effectiveness. It is concluded that communication plays a relevant role in shaping public perceptions of sustainability in beef cattle production and may contribute to greater transparency and better translation of scientific knowledge. The thesis contributes to studies in environmental communication, science communication, and agribusiness within the limits of the corpus analyzed and the scoping review conducted, and indicates future research directions involving empirical validation of the model, reception analysis, and expansion of the corpus. Editor: Universidade Federal da Grande Dourados Tipo: Tese Thu, 09 Jul 2026 00:00:00 GMT http://repositorio.ufgd.edu.br/jspui/handle/prefix/7107 2026-07-09T00:00:00Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/7054 Título: “Impactos das variáveis climáticas sobre a produtividade da soja e do milho no Brasil entre 2012 e 2024: evidências da adaptação climática" Autor(es): Morais, Leucivaldo Carneiro Primeiro Orientador: Silva, Jonathan Gonçalves da Abstract: Climate change represents one of the main challenges facing Brazilian agriculture, particularly strategic crops such as soybeans and corn, whose productivity depends directly on temperature and precipitation conditions. This dissertation aimed to analyze the impacts of climate variables on soybean and corn productivity in Brazil, considering potential nonlinear effects and evidence of climate adaptation from 2012 to 2024. Data were obtained from the IBGE System of Automatic Recovery (SIDRA/IBGE), the Brazilian National Institute of Meteorology (INMET), and the Agricultural Activity Guarantee Program (Proagro/MAPA), and organized into a panel dataset comprising 701 observations. The empirical strategy was based on the estimation of fixed-effects panel data models, including a baseline model, a climate nonlinearity model, and a climate adaptation model, selected through specification tests and evaluated through residual diagnostic tests. The results indicated that average temperature has a negative effect on agricultural productivity, whereas precipitation has a positive effect, with corn being the crop most sensitive to climate variations. In the baseline model, a 1°C increase in temperature was associated with an approximately 6.09% reduction in corn productivity, while a 1 mm increase in precipitation was associated with an approximately 0.31% increase in productivity. The nonlinearity models provided evidence of diminishing returns to precipitation for corn, but no robust evidence of temperature nonlinearity. For soybeans, no statistically significant nonlinear effects were identified. The climate adaptation model showed a partial reduction in corn vulnerability to the adverse effects of temperature over the period analyzed, suggesting that technological advances and improvements in agricultural management contributed to mitigating some of the negative climate impacts. For soybeans, however, no statistically significant evidence of climate adaptation was found. The findings indicate that climate change significantly affects Brazilian agricultural productivity, particularly corn production, reinforcing the need for public policies focused on climate adaptation, technological development, and strengthening the resilience of agricultural production systems in response to the increasing frequency of extreme climate events. Editor: Universidade Federal da Grande Dourados Tipo: Tese Mon, 24 Aug 2026 00:00:00 GMT http://repositorio.ufgd.edu.br/jspui/handle/prefix/7054 2026-08-24T00:00:00Z http://repositorio.ufgd.edu.br/jspui/handle/prefix/6942 Título: Insegurança alimentar e seus determinantes em países de blocos econômicos e acordos preferenciais de comércio Autor(es): Rocha , Gisele Alves Soares Primeiro Orientador: Noriller , Rafael Martins Abstract: The objective of this thesis was to analyze Food Insecurity (FI) from a comparative perspective between countries, focusing on identifying structural factors capable of explaining its differences over time and between distinct national realities. It starts from the understanding that FI results from the interaction between economic, productive, social, institutional, and environmental factors, which manifest themselves unequally among countries. In terms of material and methods, the thesis was developed from three complementary articles. Article 1 conducted a literature review on the main concepts and methods for measuring FI. Article 2 constructed a multidimensional indicator of FI for comparison between countries within economic blocs and preferential trade agreements, based on descriptive statistics, internal consistency analysis, and Principal Component Analysis with VARIMAX rotation. Article 3 analyzed the exogenous factors associated with FI in 25 countries, from 2016 to 2022, using a panel data model. The results indicated, in Article 1, that food insecurity (FI) is a multidimensional phenomenon and that its measurement requires the consideration of different analytical dimensions, while in Article 2, the findings showed the robustness of the constructed indicator and its suitability for comparison between countries. In Article 3, the results showed that exogenous socioeconomic, productive, institutional, and environmental factors are associated with variations in the phenomenon among the countries analyzed. Finally, the thesis contributes by articulating a critical literature review, the construction of a multidimensional indicator, and comparative econometric analysis within the same research agenda. The study broadens the understanding of the determinants of FI and offers support for more consistent diagnoses and for the formulation of international cooperation strategies more sensitive to structural inequalities. Editor: Universidade Federal da Grande Dourados Tipo: Tese Fri, 10 Jul 2026 00:00:00 GMT http://repositorio.ufgd.edu.br/jspui/handle/prefix/6942 2026-07-10T00:00:00Z