RURAL-URBAN INTERDEPENDENCE ON FUEL WOOD IN ANAMBRA STATE, NIGERIA

πŸ“„ Item Type: Project Material| πŸ“‹ 40 pages| πŸ“š 1–5 chapters| Amount: ₦5,000

RURAL-URBAN INTERDEPENDENCE ON FUEL WOOD IN ANAMBRA STATE, NIGERIA

πŸ“„ Project Material πŸ“‹ 40 pages πŸ“š Chapters 1–5 πŸ’Ύ MS-Word & PDF

Chapters 1–5  |  ₦5,000

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Β RURAL-URBAN INTERDEPENDENCE ON FUEL WOOD IN ANAMBRA STATE, NIGERIA

Abstract
This study examined the rural-urban interdependence on fuel wood in Anambra State,
Nigeria using cross-sectional data. The study used purposive and random sampling
techniques for the selection of 120 gatherers that constituted respondents for the
study. The study employed descriptive and relevant inferential statistics for data
analysis. The findings of the study revealed that out of the 14 indicators of the
importance of forest examined in the study, the respondents were aware of 11 as
importance of forest to people in the study area. The linear regression analysis with
an R2 of 0.702 showed that about 70% of the total variations in the income from fuel
wood were caused by the specified independent variables in the model. On ruralurban
interdependence on forest, (79%) of money and income related benefits flow
from urban to rural areas; (88%) of benefits relating to innovative ideas on forestry
management and conservation flow from urban to rural areas, about (68%) of forest
related market information spread from urban areas to the people in rural areas while
about (55%) of awareness of the importance of forest and its related products flow
from the urban to rural.

About (78%) of benefits in the form of forest related job
opportunities spread from rural to urban areas. Using a factor loading of 0.30, the
factors that constrain rural-urban flow of fuel wood in the area were: sociofinancial;
infrastructural/institutional; and distributive factors. The result of the
probit model with an R2 of 0.892 indicated that about (89%) of the total variations in
the decision of the respondents to either invest in forest development or not were
caused by the specified independent variables in the model. Based on the above
findings, it was recommended that government should ensure the provision of good
feeder and major road network between rural and urban areas in the state, that for
smooth flow of fuel wood, marketing channels should be encouraged in order to
hasten distribution of the fuel wood among others.

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