Abstract:The study examined costs and returns in cocoa production in Cross River State by comparing three identified management systems of cocoa production in the area. A two-stage sampling procedure was used to select a hundred and fifty cocoa farmers for the study. Data used in the study were collected using structured questionnaires which were administered by the Agricultural Development Programme (ADP) extension agents using the participatory approach while the data were analysed using descriptive statistics such a… Show more
“…The least represented age group was 15-20 years' old which constituted only 6 percent of the total sample. The finding showed that the majority of the respondents were already in the productive age group and corroborates with past studies that also showed that youths in this age group tends to dominate agricultural activities (Adeogun, 2015;Nkang, Ajah, Abang and Edet, 2009). The result also show that half of the respondents were married (50%) followed by the singles (40%) divorced (6%) and the widows/widowers (4%).…”
Section: Results and Discussion Demographic Characteristics Of Resposupporting
“…The least represented age group was 15-20 years' old which constituted only 6 percent of the total sample. The finding showed that the majority of the respondents were already in the productive age group and corroborates with past studies that also showed that youths in this age group tends to dominate agricultural activities (Adeogun, 2015;Nkang, Ajah, Abang and Edet, 2009). The result also show that half of the respondents were married (50%) followed by the singles (40%) divorced (6%) and the widows/widowers (4%).…”
Section: Results and Discussion Demographic Characteristics Of Resposupporting
“…However, cocoa was abandoned for oil and this brought about a downslide of the cocoa economy. In recent years, the government has shifted attention to cocoa production, processing and marketing (Nkang et al, 2007).…”
This study investigated the compliance of marketers of agrochemicals with the approved and banned cocoa pesticides in selected cocoa producing states of southwest Nigeria. Primary data was collected through the use of structured questionnaire administered to randomly selected agrochemical marketers. All the marketers (100%) were aware of the recently banned cocoa pesticides, however, majority still have the pesticides in stock. About 70.6% of the marketers in Osun state and 58.8% in Ogun state stated that they did not receive information on the banned pesticides from government agencies but through other channels. More than half of the marketers (52.9% in Ogun, 55% in Kwara and 47.1% in Osun) strongly disagreed that government should place a ban on pesticides. Availability of banned pesticides in their stock, insufficient information from the concerned government agricultural agencies, and fear of short supply of approved pesticides are among the reasons proffered by the marketers for not supporting the ban of pesticides. Relevant government regulatory agencies should conduct a comprehensive inventory of pesticides offered for sale by the marketers of agrochemicals. There should be massive public awareness programme, and wellcoordinated association for all the marketers of agrochemicals. Agrochemical manufacturers should translate instructions and warnings on pesticide labels to local languages understood by the farmers.
“…With respect to employment, the cocoa sub-sector still offers quite a sizeable number of employments both directly and indirectly. In addition, cocoa is an important source of raw materials, as well as source of revenue to Governments of cocoa producing states (Nkang et al, 2009) The investment by cocoa farmers in new planting and replanting in Nigeria has been at low ebb. The objective of this paper is to assess the cocoa farmers' investment in cocoa planting and replanting…”
The paper examined investment in cocoa planting and replanting by cocoa farmers in Nigeria. The study sample comprised of 400 cocoa farmers selected from five major cocoa producing states in Nigeria of which 321 farmers responded. Questionnaire technique supplemented by oral interview was used for the study. The data were analysed using multiple regression, Likert rating and percentages. The results show that few cocoa farmers invested in new planting and replanting programme. There is no positive relationship between percentage of annual income invested in new planting and replanting by the cocoa farmers and the number of hectares of farm holding while age of farmers , years of experience as a cocoa farmer and average annual income show marginal positive relationship, however, farmers education has very high positive relationship with a coefficient of 0.935. The result also shows that the independent variables (farmer annual income, number of hectares owned by the farmers, age of the farmers, education and experience of the farmers) have marginal impact on the dependent variable with coefficient of variation of 0.033. The study concluded that cocoa farmers did not invest adequately in new planting and replanting because of lack of capital and non ploughing lack of capital and low ploughing back of kincome due to low income and social needs.
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