Effect of Socio-Economic Characteristics of Farmers on Their Adoption of Organic Farming Practices

Adesope, OM; Matthews-Njoku, EC; Oguzor, Nkasiobi Silas; Ugwuja, V.C.

doi:10.5772/30712

Cited by 30 publications

(25 citation statements)

References 6 publications

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“…Table 2 shows that the majority (61.8%) of the respondents were between 41 and 50 years, with a mean age of 48 years, indicating that the farming households in the study area were mainly middle age who were in their economically active age and as such, can undergo the stress relating to the operation of farming enterprise. This result corroborates the finding of Adesope et al (2012) that higher proportions (37.7%) of the farmers in Imo state were between the age of 41 and 50 years. The finding showed that the ageing population was less engaged in the operation of farming activities in the study area.…”

Section: Adoption Status Of Animal and Crop Technologiessupporting

confidence: 82%

“…This finding is similar to that of Adesope et al (2012) that the majority of the farmers in Imo state were married. This is an indication that farming households were responsible, which implies that they were likely to access information sources for proven agricultural innovations to be adopted for long term sustainability.…”

Section: Socio-economic and Enterprise Characteristics Of Respondentssupporting

confidence: 80%

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Utilization of agricultural information sources and adoption of animal and crop technologies among farming households in Imo State, Nigeria

Uwandu¹,

Thomas²,

Okoro³

2018

jae

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The study ascertained effect of utilization of agricultural information sources on adoption of animal and crop technologies among farming households in Imo State, Nigeria. Structured interview schedule was used to collect data from one hundred and fifty respondents using a multi-stage sampling technique. Data were analyzed using both descriptive and inferential statistics: PPMC and t test. Respondent's mean age was 48 years; 99.1% had contact with extension agents; 88.4% had access to between 1 and 5 hectares of land; 33.6% practiced crop science; 29.9% practiced animal science. Recommended crop spacing was adopted by 36.6% of the respondents; while 29.9% adopted improved breeds of livestock. Agricultural Development Project (ADP) was the most accessed (x ̅ = 2.97) information source. There was a significant relationship between use of agricultural information sources and adoption of crop technologies (r=0.262; p < 0.000), while significant difference (t=3.068; p < 0.05) existed in the adoption of crop technologies between respondents with low and high access to agricultural information. Efforts by relevant agencies to improve frequency of use of information sources relating to appropriate

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Section: Adoption Status Of Animal and Crop Technologiessupporting

confidence: 82%

Section: Socio-economic and Enterprise Characteristics Of Respondentssupporting

confidence: 80%

Utilization of agricultural information sources and adoption of animal and crop technologies among farming households in Imo State, Nigeria

Uwandu¹,

Thomas²,

Okoro³

2018

jae

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“…Results from this study showed that very few farmers have access to credit which may limit their ability to expand production of maize. This finding agrees with Idrisa (2009), Ayayi and Solomon (2010), Adesope et al (2012) found out that credit availability was very essential for agricultural productivity. …”

Section: Credit Facilities On Early Maturing Maize Varietiessupporting

confidence: 83%

“…Also, it could be due to the various interventions received by Safana LGA through different Governmental and Non-Governmental Organizations. Adesope et al (2012) and Ango et al (2013) found in their study that respondents (farming households) had good source of information on agricultural technologies.…”

Section: Contact With Extension Agentsmentioning

confidence: 99%

Adoption and impact of early maturing maize varieties on farmers income in Safana Local Government Area of Katsina, Nigeria

Ndaghu¹,

Abdulsalam²,

Rahman³

et al. 2015

Afr. J. Agric. Res.

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This paper examined the adoption and impact of early maturing maize varieties on farmers' income in Safana Local Government Area of Katsina State, Nigeria. Using random sampling techniques, 300 maize farmers were selected across 10 communities in the Local Government. Data obtained were analyzed using descriptive statistics, adoption index, double difference method and Z-statistics to estimate impact of early maturing maize varieties on income of farmers. The study divided the respondents into 137 adopters and 163 non adopters. The major findings showed that 88% of respondents were male headed, average age of household head was 44 years, average household size was 11 persons, dependency ratio was 1.49, level of education was Islamic education, average years of schooling was 5 years and average years of farming was 25 years. About 65% of farmers had access to extension agent, only about 10% had access to credit and labor force was mostly family labor. Result from the study showed that out of 300 maize farmers sampled, 137 farming household adopted the varieties with a general adoption rate of 45.67%. The mean difference analysis of the impact on adoption of early maturing maize varieties on income status between adopters and non-adopters of early maturing maize varieties shows that there is a positive mean income of N 42,689. The result of the T-test showed that there was significant difference at 1% level of significance between adopters and non-adopters in relation to income level. Policy which provides adequately trained and equipped extension workers to disseminate improved agricultural technology has the potential to raise farmers' income.

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“…H 0 = There is no significant difference between the adopters and non-adopter in regarding their socio-economic characteristics. Adesope et al, (2012) [2] found out that 34.4% of the farmers were male, while 65.6% were female.. Also, 14.4% of the farmers were between the ages of 31and 40 years old, 36.7% were between 41 and 50 years, 26.7% were between 51 and 60 years, while 22.2% were 61 years and above. Agarwal & Singh (2014) [3] found out in their study that out of the total sample size of soybean growers which was 40.…”

Section: Hypothesismentioning

confidence: 94%

Socio-economic Characteristics of the Adopters and Non-adopters of Inter-cropping in Areca Nut Plantation in Ri-Bhoi District of Meghalaya

Sancley

Mazhar

2019

AJAEES

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The socio-economic status of farmers plays a vital role in Agriculture. It is observed from the present study that the farmers economic level affect the livelihood of the farmers in Ri-Bhoi District of Meghalaya. The farmers have tried to change their way of cropping by introducing inter-crops with the main crops to increase their income level. The purposed of this finding was to compare the difference in the socio-economic characteristics of the adopter and non-adopter of inter-cropping in areca nut plantation in Ri-Bhoi District of Meghalaya. Ri-Bhoi district of Meghalaya is therefore selected for the study. Since time immemorial, areca nut has been grown in Meghalaya as an important commercial crop. Ex-Post Facto research design was used for this study. The sample study was selected through multistage sampling method in the selected study area of the respondents. Number of respondents was selected using a simple random method based on the criteria of practicing areca nut plantation and those who practiced both areca nut plus intercropping. A survey of 310 adopters and 310 non-adopters of intercropping in areca nut plantation were selected for the study.2 appropriate statistical tools were used for interpretation of the data. Independent variables included in this were gender, age, marital status, educational level, type of house, family size, family type, social category, annual income, information seeking behaviour, participation in extension activities, social participation, innovativeness, scientific orientation, economic motivation and risk orientation. Based on the study it is observed there are few variables contributing to the significant difference between the adopters and the non-adopters in related to their socio-economic characteristics.

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Effect of Socio-Economic Characteristics of Farmers on Their Adoption of Organic Farming Practices

Cited by 30 publications

References 6 publications

Utilization of agricultural information sources and adoption of animal and crop technologies among farming households in Imo State, Nigeria

Utilization of agricultural information sources and adoption of animal and crop technologies among farming households in Imo State, Nigeria

Adoption and impact of early maturing maize varieties on farmers income in Safana Local Government Area of Katsina, Nigeria

Socio-economic Characteristics of the Adopters and Non-adopters of Inter-cropping in Areca Nut Plantation in Ri-Bhoi District of Meghalaya

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