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  <title>DSpace Coleção:</title>
  <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/48" />
  <subtitle />
  <id>http://repositorio.ufc.br/handle/riufc/48</id>
  <updated>2026-04-05T23:50:21Z</updated>
  <dc:date>2026-04-05T23:50:21Z</dc:date>
  <entry>
    <title>Ensaios sobre pobreza no Brasil</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/84921" />
    <author>
      <name>Loayza, Ana Cecilia Vasconcelos</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/84921</id>
    <updated>2026-03-12T14:45:16Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Ensaios sobre pobreza no Brasil
Autor(es): Loayza, Ana Cecilia Vasconcelos
Abstract: The overall objective of this thesis is to analyze poverty in Brazil from an integrated approach, combining the construction of a multidimensional poverty index with the investigation of individual, household, and contextual determinants of poverty, from both a monetary and multidimensional perspective. The study consisted of three essays. The first aimed to construct a multidimensional poverty index for the years 2019 and 2023, based on the methodology of Alkire and Foster (2011), and to analyze the situation of deprivations using subgroup decompositions and a temporal analysis based on Shapley decompositions grounded in Roche's proposal (2013). The results indicate a decrease in multidimensional poverty in the country during the analyzed period and highlight the unequal distribution of deprivations faced by the poor in different regions and population subgroups. The second essay aimed to investigate the determinants at individual and contextual levels of monetary and multidimensional poverty in Brazil, based on the application of the multilevel logistic regression method. Data aggregated by geographic strata were used to analyze contextual determinants, allowing the identification of the extent to which the risk of poverty is associated with differences between these locations. The results highlight the importance of contextual factors in determining poverty; furthermore, it was observed that the effects are differentiated for rural and urban areas. The objective of the third essay was to investigate the individual and contextual factors specifically associated with rural poverty, measured using the extreme poverty indicator, emphasizing the role of nonagricultural occupation in poverty reduction. This study also applied a multilevel logistic regression model in conjunction with data from geographic strata. The results indicate that in structurally poorer strata, non-agricultural work plays an important role in mitigating poverty.
Tipo: Tese</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Ensaios sobre agroindústria brasileira</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/83726" />
    <author>
      <name>Alencar, Nataniele dos Santos</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/83726</id>
    <updated>2025-12-08T12:55:02Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Ensaios sobre agroindústria brasileira
Autor(es): Alencar, Nataniele dos Santos
Abstract: This dissertation is composed of three essays that analyze different dimensions of the Brazilian agroindustry, using data from the 2017 Agricultural Census. The first essay investigates the direct and indirect effects of the National Program for Strengthening Family Agriculture (Pronaf) on the production and sales values of rural agroindustry across Brazilian states, considering Internet access as a mediator. The results show that a significant share of Pronaf’s impact occurs indirectly, through the mediation of technical information obtained via the Internet, highlighting the relevance of digital connectivity for agroindustrial development. The second essay evaluates the technical efficiency of traditional agroindustries in the Northeastern semiarid region using the Stochastic Frontier Analysis (SFA) model. The findings reveal low average efficiency levels and strong heterogeneity among groups: less efficient agroindustries display greater dispersion and restricted productive capacity, whereas more efficient ones are characterized by greater homogeneity and stability. The third essay examines disparities in the value of rural agroindustrial production in the semiarid region of Ceará between family and non-family farming, based on municipal productive characteristics. Using unconditional quantile regressions and the Oaxaca-Blinder decomposition, the results indicate that family farming maintains superior productive performance compared to non-family farming, even under similar production conditions.
Tipo: Tese</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Política de atenção domiciliar no Brasil: análises espacial, de cobertura, focalização e impacto do programa melhor em casa</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/83280" />
    <author>
      <name>Albuquerque, Winnie Moreira</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/83280</id>
    <updated>2025-11-04T15:48:48Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Política de atenção domiciliar no Brasil: análises espacial, de cobertura, focalização e impacto do programa melhor em casa
Autor(es): Albuquerque, Winnie Moreira
Abstract: The home care policy in Brazil, represented by the Programa Melhor em Casa (PMeC), aims to promote in-home healthcare for patients with complex needs, thereby reducing hospital length of stay. This thesis evaluates the effectiveness of the PMeC on hospital length of stay between 2009 and 2024, employing a methodological approach that separates spatial analysis from impact assessment. For the spatial dimension, the Spatial Durbin Model (SDM) was applied to identify regional spillover effects, revealing a reduction in average hospital stays in municipalities neighboring those that implemented the program. Subsequently, the impact evaluation utilized the staggered difference-in-differences estimator proposed by Callaway and Sant’Anna (2021), allowing for the estimation of dynamic and time-varying policy effects. The findings indicate an average reduction of 4.45% in hospital stays among participating municipalities, intensifying to up to 17.71% after 13 years of implementation. The targeting and coverage analysis revealed that the PMeC prioritized municipalities with a higher proportion of elderly residents and well- stablished coverage of the Family Health Strategy (ESF), although territorial inequalities persist, characterized by low adoption in smaller municipalities and concentration in large urban centers. The results suggest that the PMeC constitutes a effective policy, whose effectiveness depends on institutional maturation and integration with primary care services.
Tipo: Tese</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Ensaios da dinâmica dos preços da soja, trigo e milho</title>
    <link rel="alternate" href="http://repositorio.ufc.br/handle/riufc/82601" />
    <author>
      <name>Lessa, Laura Cunha Rebouças</name>
    </author>
    <id>http://repositorio.ufc.br/handle/riufc/82601</id>
    <updated>2025-09-17T19:08:18Z</updated>
    <published>2025-01-01T00:00:00Z</published>
    <summary type="text">Título: Ensaios da dinâmica dos preços da soja, trigo e milho
Autor(es): Lessa, Laura Cunha Rebouças
Tipo: Tese</summary>
    <dc:date>2025-01-01T00:00:00Z</dc:date>
  </entry>
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