Resource use efficiency and productivity of Cocoa Farmers in Idanre LGA of Ondo State, Nigeria

Balogun, Olubunmi Lawrence; Obi-Egbedi, Ogheneruemu

doi:10.5251/ajsms.2012.3.2.60.67

Cited by 7 publications

(5 citation statements)

References 4 publications

(4 reference statements)

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“…This implies that the non-adopters of yam minisetts technology had fairly large families as this could help them to spend less on the labour cost, because of steady availability of family labour and can also increase their poverty level. This closely follows Balogun and Obi-Egbedi findings of an average of six persons per household in South west Nigeria [16]. The large household size has implication on the poverty status of the farming household.…”

Section: Resultssupporting

confidence: 88%

“…Despite the importance of yam, its production in Nigeria has not been accorded the needed attention [3]. This is reflected in the fall in output percentage growth rate of yam from 42% in 1990 to 16.3% in 2001 despite the increase in land devoted for the production of the crop from 1270 million hectares to 2742 million hectares in the same period [4]. International Institute of Tropical Agricultural (IITA) reported that there has been a general decline in yam production in Nigeria over years.…”

Section: Introductionmentioning

confidence: 99%

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2018

OAJAR

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This study evaluates the impact of adopting yam minisetts technology on poverty among yam farming households in Ekiti state, Nigeria. This study utilizes cross-sectional data from 600 households, collected in 2016, from twelve communities. This study examined the socioeconomic characteristics of yam farmers, determined the poverty profile of yam minisetts technology adopters and non-adopters and it further examined the effect of yam minisetts technology on poverty reduction among yam farming households using descriptive statistics, Propensity Score Matching (PSM) and Foster-Greer-Thorbecke (FGT). We find that the poverty incidence (P0) was 0.5642; poverty gap (P1) was 0.3173 while the poverty severity (P2) was 0.2131. The results of the Propensity Score Matching (PSM) indicated that adoption of yam minisett technology had a positive and significant (P=0.05) effect on consumption expenditure and also indicated that the adopters were less likely to be poor by about 6.8%-91.9% across the ATT estimator. Thus, has the power to lift the poor farmers above the poverty line. This study supports agricultural development programmes for farmers in order to effectively reduce hunger and poverty. Provision of farm inputs and improved seed varieties to the farmers at subsidized rate in order to stimulate adoption.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

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2018

OAJAR

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“…This result further suggests that a unit increase in the size of cocoa farms will culminate in a 0.469 tons increase in the output of cocoa per hectare and vice versa. The result conforms with the findings of Adeniyi and Ogunsola (2014) and Balogun and Obi-Egbedi (2012) that farm size has a positive relationship with cocoa output in Osun and Ondo States respectively.…”

Section: Source: Field Survey 2023supporting

confidence: 90%

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2024

EJAFR

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This study determined factors affecting resource use efficiency in cocoa production in Ikom local government area of Cross River State, Nigeria. The study described the socioeconomic characteristics of the cocoa farmers in the study area and determined the relationship between farm productive inputs and output of cocoa production. Primary data were collected and analysed using descriptive and inferential statistics such as frequency, percentages, mean, and regression analysis. From the findings of the study, it was revealed that males were dominant in cocoa production with 80.8% as compared to 19.2% in the case of females and a productive age bracket of 21-50 years. The distribution on marital status revealed that 57.5% of respondents were married, 20.0% were single, 9.2% and 13.3 % were widow/widower and divorced respectively. The study also indicated that cocoa farmers in the study area had household sizes ranging between 3 -20 in a household. The findings of the study indicated that most of the farmers had some level of formal educational background. The distribution of farming experience showed that cocoa farming is not just an occupation but a way of life for the people in the study area, hence, it does not require years of experience to be involved in cocoa production. The analysis of the regression results revealed that farm resources such as farm size, labour, capital, herbicides, insecticides and cocoa seedlings positively and significantly influenced cocoa output per hectare. Cocoa farmers are advised to join cooperatives to pool together their financial resources to get loans and enjoy other benefits of cooperative membership such as the availability of market outlets for cocoa sales; marketing information and improved cocoa seedlings for planting.

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“…However, this average cocoa production remains constantly lower compared to the production (1489.20 kg) obtained in the division of Meme in the South West of the country. This result agrees with Balogun and Obi-Egbedi [19], that the falling cocoa production output in Africa can be explained by some constraints such as diseases and pest, low adoption of the cocoa production technologies, inefficiency in the use and allocation of resources. As a result, the replacement of old cocoa plantations with new ones would considerably increase cocoa production in the Lekie division.…”

Section: Frequency Farming Experiencesupporting

confidence: 81%

The Economic Analysis of Resource Used Efficiency for Cocoa Production in Cameroon: The Case Study of Lekie Division

Nicodeme¹,

Suqun²,

Bosambe³

2017

AJRD

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The general objective of this study is to present an economic analysis of the resources efficiently used for cocoa production in the Lekie division of Cameroon. Data were collected in around forty cocoa farms which were selected randomly across five towns (Obala, Monatele, Evodoula, Ebebda and Okola) of the division "Lekie", Center Region of Cameroon. The data were analyzed using descriptive and regression techniques through stochastic production functions. The average cocoa production recorded in this study area was 643.275kg/ha. Our results showed the technical efficiency ranges from 10% to 100%, with an average efficiency of 43.7%. This implies that on average 56.3% more output would have been produced with the same level of inputs, if farmers were following best practices. The results observed that the size of the farmers' household, marital status, access to bank credit, area of arable land and farmer's membership in a cooperative are the main socioeconomic determinants of efficiency across farms in the division of Lekie. Technical training of farmers, extension service and rotation of cultivated land are the important measures that can be taken for increasing cocoa production in this part of Cameroon.

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Resource use efficiency and productivity of Cocoa Farmers in Idanre LGA of Ondo State, Nigeria

Cited by 7 publications

References 4 publications

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The Economic Analysis of Resource Used Efficiency for Cocoa Production in Cameroon: The Case Study of Lekie Division

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