Shopping Cart | Login | Register | Language: English

Modeling and Understanding the Interrelationship between Natural Resource Extraction, Poverty and Inequality: The Case of Forestry in Sub-Saharan Nigeria

Copyright © 2011. 26 pages.
OnDemand Chapter PDF Download
Download link provided immediately after order completion
$30.00
List Price: $37.50
Current Promotions:
20% Online Bookstore Discount*
Available. Instant access upon order completion.
DOI: 10.4018/978-1-60960-156-0.ch018
Sample PDFCite

MLA

Fonta, William M., Kanayo K. Ogujiuba and Uzochukwu Amakom. "Modeling and Understanding the Interrelationship between Natural Resource Extraction, Poverty and Inequality: The Case of Forestry in Sub-Saharan Nigeria." Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods. IGI Global, 2011. 366-391. Web. 22 Oct. 2014. doi:10.4018/978-1-60960-156-0.ch018

APA

Fonta, W. M., Ogujiuba, K. K., & Amakom, U. (2011). Modeling and Understanding the Interrelationship between Natural Resource Extraction, Poverty and Inequality: The Case of Forestry in Sub-Saharan Nigeria. In V. Olej, I. Obršálová, & J. Krupka (Eds.) Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods (pp. 366-391). Hershey, PA: Information Science Reference. doi:10.4018/978-1-60960-156-0.ch018

Chicago

Fonta, William M., Kanayo K. Ogujiuba and Uzochukwu Amakom. "Modeling and Understanding the Interrelationship between Natural Resource Extraction, Poverty and Inequality: The Case of Forestry in Sub-Saharan Nigeria." In Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods, ed. Vladimír Olej, Ilona Obršálová and Jirí Krupka, 366-391 (2011), accessed October 22, 2014. doi:10.4018/978-1-60960-156-0.ch018

Export Reference

Mendeley
Favorite
Modeling and Understanding the Interrelationship between Natural Resource Extraction, Poverty and Inequality: The Case of Forestry in Sub-Saharan Nigeria
Access on Platform
Browse by Subject
Top

Abstract

Many rural households in developing countries derived their income partly from forest extraction yet, very little is known about the distributional implications of this income source on poverty and household welfare in general. Applying Gini and poverty decomposable techniques to community level datasets in rural Nigeria for analyzing the distributional implications of forest income on household welfare, the study finds that forest income reduces both income inequality and poverty. 2-step Ordinary Least Square (OLS) analysis of the determinants of forest income indicates that the decision to participate in forest extraction increases with more access to natural forest areas, larger and poorer households; and decreases with membership in forestry management and higher educational attainment. Furthermore, poverty simulations revealed that poverty can be reduced in the short run, through programs that raise the price that households receive for minor forest products. However, in order to synergize forest-led poverty reduction and forest conservation, the study recommends the planting and use of minor forest products outside of the natural forest areas. Other policy options and implications of the study are fully discussed.
Chapter Preview

Introduction

Globally, there is a long tradition of concern and apprehension concerning forest dependence, poverty and household welfare (Sunderlin, Dewi, & Puntodewo, 2003; Lopez-Feldman, Mora & Taylor, 2007). The prospect of over 300 million people, most especially the poor, depending substantially on the forest for daily subsistence and survival, cannot be a matter of indifference (Mariara & Gachoki, 2008). Forest dependence can be linked with economic, social and cultural consequences. On the economic front, there are some associated costs and benefits. The costs would include: (1) increase global warming emanating from poor carbon sequestration caused by massive deforestation for farming and human settlement, and (2) destruction of natural habitats for several important ecosystem species. The benefits would include: (1) daily subsistence and survival from forest product gathering, and (2) income redistribution and poverty reduction. Socio-culturally, the benefits may include fresh water, recreational facilities, firewood, timber, medicine and the role of forestry in the local traditions and customs of the people. However, in the absence of quantitative analysis, it is difficult to say which one outweighs the other.

To date, very little empirical evidence exists on the causal relationship between forest extraction and household welfare (i.e., poverty and income redistribution). Most distributional studies are mainly concerned with taxation and migrant remittances with more recent focus on agricultural and non-agricultural activities. Fewer studies have looked at the quantitative relationship between forest extraction, poverty and income inequality (Lopez-Feldman, Mora & Taylor, 2007). Based on existing rich community level survey data from a community forest area in rural Nigeria, the chapter explores the empirical relationships among the key variables mentioned in the title. This is justified because changes in natural resource income, like any other household income sources, have economic, environmental, health and social consequences on human welfare.

Our work builds on earlier published and unpublished work (Okafor, 1994; Osemeobo & Ujor, 1999; Neumann & Hirch, 2000; Nweze & Igbokwe, 2000; Bison & Ajake, 2001; Pattanayak & Sills, 2001; Angelson & Wunder, 2003; Cavendish, 1997 & 2003; Campell, Jeffrey, Kozanayi, Luckert, Mutamba, & Zindi., 2002; Fisher, 2004; Vedeld, Angelsen, Sjaastad, & Kobugabe, 2004; Adhikari, 2004 & 2005; Paumgarten, 2007; Shackleton, Shackleton, Buiten, & Bird, 2007; Mariara & Gachoki, 2008; Ajake, 2008; Chukwuone & Okorji, 2008; Fonta, John, Ezeibe, Otu, & Ogujuiba, 2009; Fonta & Ichoku, 2010). Our specific research objectives with an overriding aim of providing policy-relevant evidence in the chapter are: to analyze the distributional and poverty effects of forest extraction income in a community forest area in rural Nigeria, using three variants of the Foster-Greer-Thorbecke (FGT) poverty decomposable indices (Foster, Greer & Thorbecke 1984); to estimate the impacts of forest income on rural income inequality in Nigeria, using the Gini coefficient decomposition technique (Lerman & Yitzhaki, 1985); and to identify the determinants of forest extraction income based on models of sample selection (Strazzera, Genius, Scarpa & Hutchinson, 2003; Fonta & Omoke, 2008).

Top

Complete Chapter List

Search this Book: Reset
Table of Contents
Preface
Vladimír Olej, Ilona Obršálová, Jirí Krupka
Chapter 1
Ting Yu, Manfred Lenzen, Christopher Dey
Input-output table plays a central role in the Economic Input-Output Life Cycle Assessment (EIO-LCA) method. This chapter presents an integrated and... Sample PDF
Large-Scale Computational Modeling for Environmental Impact Assessment
$37.50
Chapter 2
Mohamed M. Mostafa
The per capita Ecological Footprint (EF) is one of the most-widely recognized measures of environmental sustainability. It seeks to quantify the... Sample PDF
Modeling the Ecological Footprint of Nations via Evolutionary Computation and Machine Learning Models
$37.50
Chapter 3
Francesco di Pierro, Soon-Thiam Khu, Tim Oxley
Although it is widely recognized that urban planning has a large implication on the provision of utilities, services and other urban... Sample PDF
Stochastic System Dynamics Integrative Model: An Integrated Modeling Framework Spanning Policy Domains
$37.50
Chapter 4
František Božek, Josef Navrátil, Jirí Dvorák, Miloš Božek
The index method, which enables a complex assessment of regional risks, is described. The method is based on the comparison of critical indicators... Sample PDF
Regional Risks Assessment
$37.50
Chapter 5
Petr Hájek, Vladimír Olej
The chapter presents an overview of current methods for air quality assessment, i.e. air stress indices and air quality indices. Traditional air... Sample PDF
Air Quality Assessment by Neural Networks
$37.50
Chapter 6
Vladimír Olej, Petr Hájek
The chapter presents a design of parameters for air quality classification of districts into classes according to their pollution. Therefore, the... Sample PDF
Air Quality Modeling by Fuzzy Sets and IF-Sets
$37.50
Chapter 7
Miloslava Kašparová, Jirí Krupka
This chapter deals with modeling and metamodeling of air quality in the Pardubice region of the Czech Republic. From a regional point of view, the... Sample PDF
Air Quality Modeling and Metamodeling Approach
$37.50
Chapter 8
Robert Bata, Ticiano Costa Jordão
The chapter deals with the modeling of materials and energy flows associated with different types of heating fuels used in the household sector in... Sample PDF
Modeling the Influences of Heating Fuel Consumption in Gaseous Emissions and Solid Waste Generation
$37.50
Chapter 9
Maria da Conceição Cunha
Wastewater systems are very important environmental systems. They should be carefully planned and managed to contribute to a more sustainable... Sample PDF
Wastewater Systems Management at the Regional Level
$37.50
Chapter 10
Davide Viaggi, Meri Raggi
Mathematical programming tools are widely used to simulate agriculture water use thanks to their ability to provide a detailed technical and... Sample PDF
Estimation of Irrigation Water Demand on a Regional Scale Combining Positive Mathematical Programming and Cluster Analysis in Model Calibration
$37.50
Chapter 11
Ana Passuello, Marta Schuhmacher, Montse Mari, Oda Cadiach, Martí Nadal
In this chapter, the spatial problem of disposing sewage sludge on agricultural soils is addressed. Sewage sludge application on agricultural soils... Sample PDF
A Spatial Multicriteria Decision Analysis to Manage Sewage Sludge Application on Agricultural Soils
$37.50
Chapter 12
Peep Miidla
Contemporary scientific and economic developments in environmental technology suggest that it is of great importance to introduce new approaches... Sample PDF
Data Envelopment Analysis in Environmental Technologies
$37.50
Chapter 13
Renáta Myšková, Ivana Linkeová
The economic development of a region depends on a number of factors which influence it mainly bases in a macro-economic aspect. Each region has its... Sample PDF
Modeling of the Economic Development of a Region
$37.50
Chapter 14
Egor Sidorov, Iva Ritschelová
The chapter describes an approach for the calculation of coal depletion adjusted regional macroeconomic aggregates for the coal mining regions of... Sample PDF
Economic Performance and Environmental Quality at the Regional Level An Approach to Modeling Depletion Adjusted Macro Aggregates for the Czech Coal Mining Regions
$37.50
Chapter 15
Tim B. Williamson, Grant K. Hauer, M. K.(Marty) Luckert
Climate change will affect the expected values and distributions of key variables that influence forest management decisions. Risk analysis will... Sample PDF
Economic Concepts, Methods, and Tools for Risk Analysis in Forestry under Climate Change
$37.50
Chapter 16
Matthias Schröter, Oliver Jakoby, Roland Olbrich, Marcus Eichhorn, Stefan Baumgärtner
Bush encroachment is one of the most extensive changes in land cover in semi-arid rangelands and an urgent problem for cattle farming, rapidly... Sample PDF
Remote Sensing of Bush Encroachment on Commercial Cattle Farms in Semi-Arid Rangelands in Namibia
$37.50
Chapter 17
Pavel Jirava, Ilona Obršálová
This chapter is focused on the modeling and analysis of the relation between environment and health. Many research papers have found links between... Sample PDF
Modeling the Effects of the Quality of the Environment on the Health of a Selected Population
$37.50
Chapter 18
William M. Fonta, Kanayo K. Ogujiuba, Uzochukwu Amakom
Many rural households in developing countries derived their income partly from forest extraction yet, very little is known about the distributional... Sample PDF
Modeling and Understanding the Interrelationship between Natural Resource Extraction, Poverty and Inequality: The Case of Forestry in Sub-Saharan Nigeria
$37.50
Chapter 19
Jirí Krupka, Miloslava Kašparová, Pavel Jirava, Jan Mandys
The chapter presents the problem of quality of life modeling in the Czech Republic based on classification methods. It concerns a comparison of... Sample PDF
Quality of Life Modeling at the Regional Level
$37.50