Foreign Private Investment and Agricultural Production in Nigeria (1986-2006)

Abu, G. A.; Ekpebu, I. D.; Okpe, J. I.

doi:10.1080/09718923.2011.11892881

Cited by 2 publications

(4 citation statements)

References 1 publication

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“…The findings of Abegunde et al (2019) and Mujeyi et al (2021) are relevant to this outcome. The average farm size was 3 hectares, which is comparable to rural farmlands, which are typically tiny, dispersed, and fragmented (Abu et al, 2018;Anugwa et al, 2022). The mean vegetable cultivated in the area of study was okra, this means that vegetable farmers in the study area cultivated more okra probably due to the resilient nature of okra plants to climate impact such as flooding, relative humidity, high temperature, etc.…”

Section: Multinomial Logistic Regression Modelmentioning

confidence: 93%

Gender Role and Effects on Climate Change Adaptation Practices Among Vegetable Farmers in Delta Central Zone

Enwa,

Ogisi,

Ewuzie

2024

World J Environ Biosci

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In this study, we examined the gender role and the effects of climate change adaptation practices on small-scale vegetable farmers in Delta State. Specific objectives were to; estimate the determinants of climate change adaptation strategy; (ii) examine the resilience level of vegetable farmers by gender and analyze the impact of climate change on net farm income of vegetable farmers. A purposive sampling procedure was adopted where Ethiope East, Okpe, and Uvwie local government areas were selected from Delta Central Agricultural Zone. 119 vegetable farmers were selected for the study. In the regression analysis, descriptive statistics and Multinomial and Binary Logistic Regression Model were used to analyze the data collected during this study. Using the likelihood ratio Chi-square value of 68.5722 as a result of the determinant of climate change adaptation practices, the multinomial regression model fits accurately in estimating the determinant of climate change at a 1 percent probability level. As a result of binary logistics regression, the Black Chi was significant at 1 percent. This means that climate change events have affected vegetable farmers' income negatively. This therefore calls for more effort from the government to strengthen the provision of agricultural extension services by improving its climate information system, providing recommended agricultural inputs and training farmers on best agronomic practices to enhance their holistic adaptation to the effect of climate change.

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Section: Multinomial Logistic Regression Modelmentioning

confidence: 93%

Gender Role and Effects on Climate Change Adaptation Practices Among Vegetable Farmers in Delta Central Zone

Enwa,

Ogisi,

Ewuzie

2024

World J Environ Biosci

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“…Credit access could affect farming efficiency because farmers' credit could provide production input [25]. Credit access has given farmers the money to buy pesticides regardless of price [29,36]. Credit tended to lead to farmers buying more pesticides, which might affect the adoption of pesticides and frequency of application [36].…”

Section: Explanation and Measurement Of Independent Variablesmentioning

confidence: 99%

“…Access to credit had a positive correlation with the adoption and frequency of pesticide application and was significant at α 1%; this means that access to credit tended to increase the probability for farmers to adopt pesticides in lowland rice. Farmers who got credit tended to buy production inputs for their farming needs [25,36,44]. Access to credit tended to increase the frequency of pesticide application in lowland rice farming.…”

Section: Factors That Affected the Adoption And Frequency Of Pesticides Applicationmentioning

confidence: 99%

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Identification of Factors Affecting Decisions to Adopt Pesticides at Lowland Rice Farms in Indonesia

Effendy¹,

Antara²,

Muhardi³

et al. 2021

IJDNE

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Pesticides have been widely adopted in the farming industry to control weeds, pests, and diseases in order to minimize yield losses and maintain the quality of lowland rice products; however, farmers often over-apply pesticides. This study analyzed key factors that affected the decision of lowland rice farmers in adopting pesticides and the frequency of pesticide application. A double-hurdle model was used to estimate the factors that affected the decisions of farmers to adopt pesticides and determine the frequency of pesticide application. These results demonstrate that the adoption of pesticides was high (86%) at lowland rice farms in the study area. Lowland rice farmers were found to apply pesticides an average of eight times. Gender, age, education level, access to extension, farming experience, and access to credit significantly affected the decisions of farmers to adopt pesticides in controlling weeds, pests, and diseases at lowland rice farms. The independent variable also significantly affected the frequency of pesticide application. Towards the goal, government and non-government organizations had to increase human resources through education, agricultural extension services to young farmers had to be improved. Specifically, extension material was provided on environmentally-friendly methods of controlling weeds, pests, and diseases and other alternatives to reduce the use of pesticides at lowland rice farms.

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Foreign Private Investment and Agricultural Production in Nigeria (1986-2006)

Cited by 2 publications

References 1 publication

Gender Role and Effects on Climate Change Adaptation Practices Among Vegetable Farmers in Delta Central Zone

Gender Role and Effects on Climate Change Adaptation Practices Among Vegetable Farmers in Delta Central Zone

Identification of Factors Affecting Decisions to Adopt Pesticides at Lowland Rice Farms in Indonesia

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