Total factor productivity (TFP) of productive resources used in homestead poultry broiler farms in Niger state of Nigeria

Sanusi, Mohammed; Paul, Issac; Muhammad, Munawir; Muhammad, Lawal

doi:10.2298/jas1901101s

Cited by 3 publications

(2 citation statements)

References 8 publications

(9 reference statements)

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“…Therefore, inputs such as feed, labour, housing and equipment, may have to be reduced, while more land should be used, so as to achieve the optimal allocation of productive resources for poultry farmers. This is in agreement with the finding of Sanusi et al (2019). This will increase productivity and ultimately net returns for poultry farmers in addition to the improved management skills and the acquisition of economically viable exotic breeds.…”

Section: Allocative Efficiency Estimatessupporting

confidence: 91%

Profitability and Allocative Efficiency of Exotic Chicken Enterprises in Delta State, Nigeria

Gbigbi¹,

Isiorhovoja²

2021

SJA

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Section: Allocative Efficiency Estimatessupporting

confidence: 91%

Profitability and Allocative Efficiency of Exotic Chicken Enterprises in Delta State, Nigeria

Gbigbi¹,

Isiorhovoja²

2021

SJA

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“…TFP model Following Singh et al (2019) and Sadiq et al (2015), was used. The TFP approach adopted is given as: -…”

Section: Financial Analysismentioning

confidence: 99%

Economic Impact Analysis of Value Chain Development Programme (Vcdp) on Productivity of Rice Farmers in Niger State, Nigeria

ALABI,

SUNDAY,

EBUKİBA

2023

Journal of Agriculture

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This study evaluated economic impact analysis of value chain development programme on productivity of rice farmers in Niger State, Nigeria. Primary data were used. A multi-stage sampling technique was used to select a total sample size of two hundred and ninety-two (292) rice farmers which comprised of one hundred and fifty-five (155) value chain development program beneficiaries and one hundred and thirty-seven (137) non- beneficiaries. Data were analyzed using descriptive statistics, farm budgeting technique, total factor productivity index, Tobit dichotomous regression model, propensity score matching (PSM), principal component analysis, F-Chow test, and t-test. The results revealed that the 65.81% of the rice farmers who benefited from the value chain program were male. Also, 48.91% of the non-beneficiaries of VCDP were at sub-optimal productivity level, while 36.13% of the beneficiaries were at super-optimal productivity level. The result of the Tobit regression estimates shows that the significant factors influencing total factor productivity were: that household size (P< 0.10), farm experience (P< 0.10), access to credit (P< 0.05), labour input (P< 0.10), and farm size (P< 0.10). Rice production in the study area was profitable. The coefficient of Average Treatment Effect for all matching algorithms for yields of rice farmers such as nearest neighbor, radius, kernel, and stratification were significant at (P< 0.01). This shows that value chain development program impacted positively on productivity of rice farmers. Extension officers should be employed to train rice farmers. Governments should put policies in place that will help remove bottlenecks in accessing agricultural loans.

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Land Tenure Systems and Agricultural Productivity in Nigeria: A Case of Rice Production

Sanusi¹,

Madaki

David

2022

Int. J. Emerg. Sci Res

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This study examined land tenure systems and rice productivity in Nigeria. Primary data were used for the study. Data were collected with the aid of a well-structured questionnaire. A four-stage sampling technique was used to select a total sample size of three hundred and forty-nine (349) rice farmers for the study. Data were analysed using descriptive statistics, total factor productivity, and the Stochastic production frontier model. The study revealed that a large portion of the land (over 94%) used for rice production was acquired through inheritance mode of land acquisition and communal type of land tenure system widely practised. The result of total factor productivity indicated that 62.18% of the rice farmers were at a sub-optimal productivity level. The results of the stochastic production frontier function revealed that seed (P< 0.10), and fertilizer application (P<0.01) were the significant factors influencing the technical efficiency of rice production in the study area. Based on the findings, the study recommends that the current land use act and policy should be amended to prevent concurrent grabbing of agricultural land for non-agricultural purposes to enhance the availability and accessibility of land for agriculture.

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Total factor productivity (TFP) of productive resources used in homestead poultry broiler farms in Niger state of Nigeria

Cited by 3 publications

References 8 publications

Profitability and Allocative Efficiency of Exotic Chicken Enterprises in Delta State, Nigeria

Profitability and Allocative Efficiency of Exotic Chicken Enterprises in Delta State, Nigeria

Economic Impact Analysis of Value Chain Development Programme (Vcdp) on Productivity of Rice Farmers in Niger State, Nigeria

Land Tenure Systems and Agricultural Productivity in Nigeria: A Case of Rice Production

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