The Impact of Corruption on Deforestation: A Cross-Country Evidence

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The Impact of Corruption on Deforestation: A Cross-Country Evidence

Cross-Country Evidence

Abstract
We hypothesized that corruption could contribute to deforestation. The present study, therefore, try to identify such a relation between corruption and deforestation. By using three different corruption indices, we found a statistically significant strong positive relation between corruption and deforestation for different periods across different countries. This finding remains valid in both univariate and multivariate models. Also, the model takes the potential heteroscedasticity problem, common in cross-section studies, into account and makes correction if necessary. To our best knowledge, this study is the first cross-country study addressing to the issue by utilizing all available corruption indices, namely Corruption Perception Index (CPI), International Country Risk Guide (ICRG) index, and Business Intelligence (BI) index. Policies and measures taken towards reducing corruption, therefore, may help to decrease illegal forest activities (e.g. illegal logging and timbering, smuggling of forest products etc.) and in turn depletion of forests.

TABLE OF CONTENTS
Cover Page – – – – – – – – – –
Title Page – – – – – – – – – –
Certification – – – – – – – – – –
Dedication – – – – – – – – – –
Acknowledgement – – – – – – – – –
Abstract – – – – – – – – – –
Table of Content – – – – – – – – –
Chapter One: Introduction
Background of the Study – – – – – –
Statement of the Problem – – – – – –
Objectives of the Study – – – – – – –
Research Questions – – – – – – –
Research Hypotheses – – – – – – –
Significance of the Study – – – – – – –
Scope/ Limitation of the Study – – – – – –
Definition of Terms – – – – – – –
Chapter Two: Review of Related Literature
2.1 Introduction – – – – – – – – –
2.2 Conceptual Framework – – – – – – –
2.3 Theoretical Framework – – – – – – –
2.4 Empirical Review – – – – – – – –

Chapter Three: Research Methodology
3.1 Introduction – – – – – – – –
3.1 Research Design – – – – – – – –
3.3 Area of the Study – – – – – – – –
3.4 Population of the Study – – – – – – –
3.5 Sample Size and Sampling Techniques – – – –
3.6 Instrumentation – – – – – – – –
3.7 Validation of the Instrument – – – – – –
3.8 Administration of the Instrument – – – – –
3.9 Method of Data Analysis – – – – – – –

Chapter Four: Presentation, Analysis and Interpretation of Data
4.1 Introduction – – – – – – – – –
4.2 Presentation and Analysis of Data – – – – –
4.3 Testing of Hypotheses – – – – – – –
4.4 Discussion of Findings – – – – – – –
Chapter Five: Summary, Conclusion and Recommendations
5.1 Introduction – – – – – – – – –
5.2 Summary – – – – – – – – –
5.3 Conclusion——————-

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