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 “Economic Analysis of Deforestation”.
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 Economics and Extension for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Economic Analysis of Deforestation 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.
The study provided an economic analysis of the losses from deforestation in Enugu State of Nigeria. Specifically, the study evaluated the effects of socioeconomic factors affecting deforestation in Enugu State. It also identified the factors that influence the decision to deforest. The study further examined the nature and extent of deforestation in the state. Primary and secondary data generated were analyzed with descriptive statistics, multiple regression and legit analytical techniques. Also total economic valuation (TEV) model of valuing deforestation was used to achieve aggregate economic loss from different deforestation operations in different sectors of forest use.
The major finding of the study shows that bush fire was the highest cause of deforestation in Enugu State. From the study, 69% of the respondents stated that they had no knowledge of any forest extension services. Furthermore, the total economic value (TEV) loss of forests in the last three years were N75,855,558.00 for 2008; N89,674,707.00 for 2007 and N85,683,956.00 for 2006. Multivariable linear results of farmland clearance of forest for cropping activities show that only size of land, land tenure system and types of cropping were significant at 5% in explaining the observed variabilities in the dependent variable (Y). The study further found out that deforestation experience, household size, total landholdings, educational attainment and gender of respondents were significant at 10% in explaining the observed variabilities for socioeconomic characteristics influencing the decision to clear forest for agricultural activities using farmers level legit regression results.
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 technical terms.…
