Adoção de estratégias para redução de riscos: identificação dos determinantes da diversificação produtiva no Polo Petrolina-Juazeiro

Filho, Silvio Fernando Santana Oliveira; Melo, André de Souza; Xavier, Leonardo Ferraz; Sobel, Tiago Farias; Costa, Écio de Farias

doi:10.1590/s0103-20032014000100007

Cited by 6 publications

(9 citation statements)

References 12 publications

(1 reference statement)

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“…The evidence supports the idea that farmers benefiting from free technical assistance tend to have a more diversified production. This finding is in line with other studies in the literature (Bravo-Ureta et al, 2006;Longpichai, 2013;Oliveira Filho et al, 2014). Note.…”

Section: Other Variablessupporting

confidence: 93%

“…Hence, larger farms and a large number of farms operated by the household are features that enhance diversification. This result is in line with the evidence for other countries (Pope & Prescott, 1980;McNamara & Weiss, 2005;Bravo-Ureta et al, 2006;Kiprono, 2012;Oliveira Filho et al, 2014). Decreasing returns to scale may be part of the explanation for that.…”

Section: Other Variablessupporting

confidence: 88%

“…Indeed, being member of a cooperative and/or an association seems to have effects on production diversity that vary across regions, and perhaps because of that do not have a significant effect in a dataset of all Brazilian regions altogether. Using a dataset of farms in the Petrolina-Juazeiro area, in the Brazilian northeast, Oliveira Filho et al (2014) found that co-op membership reduces production diversity. In that particular case, those co-ops are widely known for their specialization penchant, trading only a few specific goods.…”

Section: Other Variablesmentioning

confidence: 99%

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Production Diversity and Socioeconomic Characteristics of Household Farms

Sambuichi¹,

Pereira²,

Galindo³

et al. 2016

JAS

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The level of production diversity chosen by small household farms may not be optimal from a social perspective, due to the existence of market failures such as environmental externalities or barriers to credit. Public policies designed to stimulate more diversified crops are supposed to correct that inefficiency. Understanding the socioeconomic characteristics associated with agricultural diversification is important for a successful implementation of those policies. In this paper we investigate which are those characteristics that are mostly related with crop diversification. Unlike previous studies, which use small samples, circumvented to small geographical areas, we address these issues with a large and comprehensive dataset, with observations spread through a large geographical dimension, making it possible to analyze the role played by regions. We take a group of 4.7 million Brazilian farm households, of which a random sample is extracted and used in the estimation procedures. We then estimate a Tobit regression model using key agricultural variables and the well-known Simpson Diversification Index to measure crop diversification. The main findings are that the region where the farm is located, the on and off farm incomes, the farm's size, the access to technical assistance, the farmer's age and education all play important roles in explaining production diversity. Public policies will more likely achieve crop diversification if they take into account those characteristics.

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Section: Other Variablessupporting

confidence: 93%

Section: Other Variablessupporting

confidence: 88%

Section: Other Variablesmentioning

confidence: 99%

See 1 more Smart Citation

Production Diversity and Socioeconomic Characteristics of Household Farms

Sambuichi¹,

Pereira²,

Galindo³

et al. 2016

JAS

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“…Além dessas medidas, foram calculadas as razões de concentração (CR4 e CR8), visando caracterizar a maior ou menor dependência das regiões quanto a produtos específicos. A seguir, faz-se breve descrição de tais medidas, tendo por base Haddad (1989), Lara, Fiori e Zanin (2010), Lima et al (2006a), Lima et al (2006b), Oliveira Filho et al (2014.…”

Section: Indicadores Para a Caracterização Da Estrutura Produtiva Regunclassified

Regional analysis of agricultural production of Rio de Janeiro, considering the family and non-family sectors

Souza

Fornazier

et al. 2019

ESA

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Análise regional da produção agropecuária do Rio de Janeiro, considerando-se os segmentos familiar e não familiar Introdução Um dos menores estados do país, com extensão territorial de 43.900 Km², o Rio de Janeiro apresenta uma das maiores densidades populacionais, 327,26 habitantes por km², distribuídos por 92 municípios (RIBEIRO; CAVALCANTI, 2011). É caracterizado por elevado grau de urbanização, com forte concentração da distribuição populacional. Conforme Pereira et al. (2013), no ano 2000 mais de 96% da população residiam em áreas urbanas, e 76% desse total concentravam-se na região metropolitana do estado. O processo de desruralização do estado, marcado pelo esvaziamento econômico e demográfico, e pela perda de influência política e cultural do meio rural, foi muito intenso. Entre os anos de 1940 e 2000, a população rural diminuiu 830.000 habitantes (ALENTEJANO, 2005). Nesse contexto, a agricultura foi perdendo espaço e importância

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“…The global market for the production and consumption of flowers and ornamental plants is valued at more than BRL 226 billion (IBRAFLOR, 2017). In this economic sector, tropical floriculture is considered a profitable and viable alternative for small rural areas (JUNQUEIRA; PEETZ, 2011), making it possible to diversify both income and crops (OLIVEIRA FILHO et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Induction of somatic embryogenesis in two cultivars of anthurium analysed by scanning electron microscopy

Melo

Carvalho

Bertini

et al. 2019

AGRO@MBIENTE ON-LINE

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Somatic embryogenesis is an advantageous tool in the commercial production of micropropagated anthurium plantlets. As such, the aim of this study was to establish a protocol for the induction of somatic embryogenesis in Jureia and Luau cultivars. Defoliated nodal segments, 1.0 cm in length and containing one bud, were used as explants. The experimental design was completely randomised, in a 2 x 3 x 5 factorial scheme (cultivar: Jureia and Luau x auxin: 2,4-D, NAA and Picloram x concentration: 0, 2.5, 5.0, 7.5, and 10.0 μM), with 30 treatments in a scheme of plots split over time (15, 30, 45, 60, 75 and 90 days). The anatomy and percentage of embryogenic callus formation were analysed. The structures formed, analysed by scanning electron microscopy, corresponded to embryogenic calli. The Luau cultivar was superior in forming embryogenic calli. For the two cultivars, among the auxins under study, NAA demonstrated a greater induction potential for somatic embryogenesis, with the concentration of 7.5 μM giving the highest mean values. The 90-day evaluation period showed the maximum formation of embryogenic calli; however, mean values were fairly similar to the 75-day evaluation period. To induce embryogenic calli, therefore, it is suggested that the nodal segments be inoculated into a culture medium with added NAA growth regulator at a concentration of 7.5 μM, and that the explants remain in this medium for 75 days after inoculation.

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Adoção de estratégias para redução de riscos: identificação dos determinantes da diversificação produtiva no Polo Petrolina-Juazeiro

Cited by 6 publications

References 12 publications

Production Diversity and Socioeconomic Characteristics of Household Farms

Production Diversity and Socioeconomic Characteristics of Household Farms

Regional analysis of agricultural production of Rio de Janeiro, considering the family and non-family sectors

Induction of somatic embryogenesis in two cultivars of anthurium analysed by scanning electron microscopy

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