Logit and Tobit analyses of the determinants of likelihood of adoption and extent of adoption of improved soybean seed in Borno State, Nigeria

Idrisa, Y.L.; Ogunbameru, B.O.; Madukwe, M. C.

doi:10.15580/gjas.2013.3.1231

Cited by 48 publications

(53 citation statements)

References 16 publications

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“…The variable was found to be statistically significant (ρ ≤ 0.01) and positively related with the likelihood of adoption. This finding is also in accordance with the findings of De Castro and Teixera (2006); Ouma et al (2006); Omolehin et al (2007) and Idrisa et al (2012). Farmers need credit to acquire new technology.…”

Section: Resultssupporting

confidence: 91%

“…The negative sign of the coefficient implies that farmers who live closer to the source of technology are more likely to adopt the technology compared to farmers who live farther away from the source of technology. This trend is expected considering the fact that most of these farmers are rural farmers who can hardly travel to distant centres where the technologies are available (Idrisa et al, 2012).…”

Section: Resultsmentioning

confidence: 99%

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Determinants of farmers adoption decisions for improved pearl millet variety in Sahel savanna zone of northern Nigeria

Okeke-Agulu¹,

Onogwu²

2014

J. Dev. Agric. Econ.

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Millet is a staple food mainly from local varieties, throughout the Sahel and in parts of the Sudan Savanna. Improved millet varieties are higher yielding and of better quality than the local varieties. This study was carried out after the Yobe State Agricultural Development Program had carried out series of extension services to assess the determinants of adoption of the improved varieties. Multistage systematic and purposive random sampling techniques were used to select 300 farmer respondents. Descriptive statistics was used to describe the socioeconomic characteristics of the farmers while logit regression analysis was used to determine factors that affect the adoption of the technology in the study area. The result showed that household size, farm size, farming experience, maturity period of millet, yield of millet, and access to credit were positively significant in predicting the farmers' probability of adopting improved pearl millet variety. On the other hand, distance to source of technology (improved pearl millet seeds) negatively influenced the probability of adoption. The study recommends improving the funding of the extension organizations and making concerted effort to increase the quantity and quality of human resources available if food security is to be guaranteed in the region.

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Determinants of farmers adoption decisions for improved pearl millet variety in Sahel savanna zone of northern Nigeria

Okeke-Agulu¹,

Onogwu²

2014

J. Dev. Agric. Econ.

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“…The positive and significant influence of extension services on adoption of farm forestry agrees with findings of earlier studies (Alene et al, 2000;Idrisa et al, 2012;Staal et al, 2002). Access to extension services and formal skills training, provide farmers with information about plantation forestry technologies before they make a www.ccsenet.org/jsd Journal of Sustainable Development Vol.…”

Section: Resultssupporting

confidence: 87%

Adoption of On-Farm Plantation Forestry by Smallholder Farmers in Uganda

Kiyingi¹,

Edriss²,

Phiri³

et al. 2016

JSD

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The study assessed the factors influencing adoption and intensity of adoption of on-farm plantation forestry by comparing results from a censored Tobit model and a Double-hurdle model. Analysis indicated that determinants of adoption and intensity of adoption of on-farm plantation forestry are different, thus indicating a double-hurdle process. Results from the double-hurdle model indicated that size of landholding, secondary school education, forestry skills training, extension services and farmers' perceptions significantly explain the variation in the decision to invest in on-farm plantation forestry. On the other hand, gender of household head and size of landholding influenced the intensity of adoption. This study highlights some of the areas that should be considered in developing adoption strategies for on-farm plantation forestry. It also highlights the importance of farmers' perceptions in influencing adoption of farm forestry. The study suggests that since the factors influencing adoption and intensity of farm forestry adoption are made separately, it is important that both stages are considered in developing adoption strategies for farm forestry.

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“…The adoption of improved varieties was positively favored by rice cultivation experience (p < 0.01), as also reported elsewhere [15,40,41]. Similarly, the adoption of current technology in rice management in India was constrained by lack of experience [42].…”

Section: Discussionsupporting

confidence: 73%

“…From this point of view, to promote adoption there is a need for progressive growth of the technology and constant farmer training [43]. This finding is rational, as experienced farmers are generally more competent with better access to necessary information about modern technologies, implying that accumulated knowledge may help in better evaluating information and thus impacting adoption decision [40]. It is noteworthy that apart from solely being adopters, farmers are involved in the generation of innovations [44].…”

Section: Discussionmentioning

confidence: 99%

Adoption Determinants of Modern Rice Cultivars among Smallholders of Northern Iran

et al. 2019

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Several agronomic innovations and precision technologies have been developed and disseminated in rice cultivation, but adoption is often lagged, particularly in developing countries. The objective of this work was to collect information on the use of improved rice cultivars and factors affecting adoption through a farmers' survey in Guilan Province, northern Iran. About 4 out of 10 farmers (42.8%) used improved rice cultivars. Above half of the farmers (55.2%) recognized the high profitability of this technology and half (49.8%) realized that modern rice cultivars are of great importance. However, there were some farmers who perceived no profitability (14.8%) or no importance (12.5%) regarding this technology. Additionally, 9.8% were not aware of the profitability, and 16.2% were not aware of the importance of the technology. The majority of the farmers (60.5%) collaborated with fellow farmers about common production problems. Nevertheless, low cooperation with extension agents was noted for 58.5% of the farmers and low attendance of local agricultural offices activities was noted for 59.8% of the farmers. A logistic regression analysis showed that perceived profitability and perceived importance of modern varieties, background in rice farming, and size of livestock holdings were positively associated with the adoption of improved cultivars. It can be concluded that the low acceptance of modern rice cultivars in the study area is related to current farming socio-economic conditions. Dissemination of information on improved cultivars from experienced farmers to other farmers should be considered to promote adoption, along with financial incentives to low-income farmers.

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Logit and Tobit analyses of the determinants of likelihood of adoption and extent of adoption of improved soybean seed in Borno State, Nigeria

Cited by 48 publications

References 16 publications

Determinants of farmers adoption decisions for improved pearl millet variety in Sahel savanna zone of northern Nigeria

Determinants of farmers adoption decisions for improved pearl millet variety in Sahel savanna zone of northern Nigeria

Adoption of On-Farm Plantation Forestry by Smallholder Farmers in Uganda

Adoption Determinants of Modern Rice Cultivars among Smallholders of Northern Iran

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