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    <dc:date>2026-07-03T13:02:47Z</dc:date>
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  <item rdf:about="http://repositorio.ufc.br/handle/riufc/86827">
    <title>Capacidade de recuperação e desempenho das culturas alimentares no MATOPIBA: Impactos e desafios.</title>
    <link>http://repositorio.ufc.br/handle/riufc/86827</link>
    <description>Título: Capacidade de recuperação e desempenho das culturas alimentares no MATOPIBA: Impactos e desafios.
Autor(es): Frota, Marisa Guilherme da; Lemos, José de Jesus de Sousa; Ozaki, Vitor Augusto; Duarte, Gislaine Vieira
Abstract: This study sought to evaluate the recovery capacity of food crops (rice, beans, cassava, and corn)  in  the  MATOPIBA  region.  The  cultivation  of  rice,  beans,  and  cassava  largely  originates  from  family farming, which plays a crucial role in feeding the population and supplying the local market. Additionally,  it  is  essential  for  job  creation,  income  generation,  and,  most  importantly,  maintaining  food security. To assess the recovery capacity of these crops, an Agricultural Resilience Index was con-structed for each crop and state during the period from 2002 to 2021. The results show that the states of Maranhão and Bahia exhibited a downward trend in resilience for the cultivation of rice, beans, and cassava. The state of Tocantins stands out as the only state showing an upward trend in recovery capacity for all crops. Regarding corn and soybean cultivation across the four states, a growing trend in recovery capacity was observed.
Tipo: Artigo de Periódico</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://repositorio.ufc.br/handle/riufc/86824">
    <title>Ecoeficiência da produção de mel no Brasil: municípios como unidades tomadoras de decisão</title>
    <link>http://repositorio.ufc.br/handle/riufc/86824</link>
    <description>Título: Ecoeficiência da produção de mel no Brasil: municípios como unidades tomadoras de decisão
Autor(es): Chagas, Patricia Taynara de Jesus das
Abstract: Beekeeping holds significant economic, environmental, and social importance, &#xD;
particularly in rural areas, where it contributes to income generation, food security, and ecosystem conservation, despite facing increasing challenges related to land use and climate change. Although this sector is recognized as strategic, studies evaluating its eco-efficiency remain scarce. In this context, this dissertation aimed to analyze the eco-efficiency of honey production across Brazilian municipalities in 2017, investigating the influence of environmental and socioeconomic variables. The methodology was based on Data Envelopment Analysis (DEA), using an output oriented Slacks-Based Measure (SBM) model, followed by a Fractional Logit regression to analyze its determinants. The results revealed a scenario of profound disparity and low performance: the national average eco-efficiency was only 0.1061, with 96.71% of municipalities concentrated in the low eco-efficiency range. Only 0.54% &#xD;
of the localities reached the eco-efficiency frontier. Econometric modeling indicated that precipitation negatively impacts the activity. Contrary to theoretical expectations, land use variables, specifically pasture and soybeans, did not show a generalized effect on efficiency across the sample, while the presence of corn proved marginally positive only for lower-performing producers. A strong dual effect of temperature is also noteworthy, as rising temperatures harmed municipalities with low eco-efficiency but favored the most eco-efficient ones. In conclusion, Brazilian beekeeping operates largely below its sustainable potential. It does not adequately convert available productive and environmental resources into economic and ecological outcomes, despite the country's diverse biomes, extensive areas suitable for beekeeping, and a high number of beehives. Therefore, Brazilian beekeeping has the potential to generate significant economic and environmental value using its current base of natural and technological resources.
Tipo: Dissertação</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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  <item rdf:about="http://repositorio.ufc.br/handle/riufc/86809">
    <title>Elasticidades dinâmicas do investimento no crescimento da economia cearense: Uma análise do período 2003-2019.</title>
    <link>http://repositorio.ufc.br/handle/riufc/86809</link>
    <description>Título: Elasticidades dinâmicas do investimento no crescimento da economia cearense: Uma análise do período 2003-2019.
Autor(es): Tabosa, Francisco José Silva; Penna, Christiano Modesto; Barreto, Flavio Ataliba Flexa Daltro
Abstract: The main objective of this study was to analyze the sensitivity of Ceará’s economy to public and private investments in the state, and to estimate their respective dynamic elasticities in the period from 2003 to 2019. The econometric methodology used followed Bierens and Martins (2010), who modeled vectors of time-variant cointegration through the introduction of Chebyshev time polynomials. The results showed that both the elasticity of public and private investment is positive. That is, theinvestments provided economic growth in the state of Ceará. However, the impact of public investments in more efficient in the growt of Ceará´s economy than the private sector. The interaction between public and private investments, on the other hand, show increasing returns to scale until 2016
Tipo: Artigo de Periódico</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
  </item>
  <item rdf:about="http://repositorio.ufc.br/handle/riufc/86775">
    <title>Previsão de emissões de gases do efeito estufa (GEE) pelo setor agrícola do Estado do Piauí, Brasil</title>
    <link>http://repositorio.ufc.br/handle/riufc/86775</link>
    <description>Título: Previsão de emissões de gases do efeito estufa (GEE) pelo setor agrícola do Estado do Piauí, Brasil
Autor(es): Lemos, José de Jesus Sousa; Araújo, Francisco Nilson Silva; Almeida, Fernando Marciano de; Paiva, Elizama Cavalcante de; Sousa, Erika Costa
Abstract: This study aims to predict the evolution of average greenhouse gas (GHG) emissions in the state of Piauí, based on the 242 municipalities of the state, as well as: 1 -estimate the descriptive statistics associated with GHG emissions and average annual rainfall observed in the state of Piauí in the period from 1973 to 2023; 2 -create a model that is capable of predicting the trajectory of average greenhouse gas emissions that are aggregated from the emissions observed in the municipalities annually between1973 and 2023; 3 -hierarchize, in ascending order of GHG emissions, the municipalities of Piauí and divide them into quintiles, to evaluate the average behavior of emissions and rainfall in each quintile. The study's guiding hypothesis is that the 33 municipalities located in the southern part of the state, which are located within the agricultural frontier of MATOPIBA, where agriculture is intensive in the use of machinery, chemical fertilizers, pesticides, and cattle raising, are the largest GHG emitters in the region. The ARIMA (0, 2, 1) model was used to make the predictions. The main evidence from the study showed that there was a significant increase in GHG emissions in the state of Piauí during the analyzed period and that, in accordance with the study's guiding assumption, the municipalities located in the MATOPIBA region had the highest average GHG emissions during the analyzed period.
Tipo: Artigo de Periódico</description>
    <dc:date>2026-01-01T00:00:00Z</dc:date>
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