This page presents an excerpt of the available research material, including the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References. It provides a comprehensive overview of the study, enhancing readability and accessibility for students, and researchers seeking complete material on the topic stated above.
I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Agricultural Engineering (AE) for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Rural-Urban Interdependence on Fuel Wood in Anambra State, Nigeria provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.
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.
1.1 Introduction
… As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the aim and objectives of the study. Others are significance of the study, scope of work, Research hypothesis and questions, limitation of the study and definition of terms.…
