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Economic Impact Appraisal of Municipal Solid Waste Dumpsite on Nearby Properties using Hedonic Model

Title: Economic Impact Appraisal of Municipal Solid Waste Dumpsite on Nearby Properties using Hedonic Model

Scientific Study , 2018 , 19 Pages , Grade: A

Autor:in: Muniru Oyewale Sholadoye (Author), Abdulfatai Adeyinka Tomori (Author)

Sociology - Individual, Groups, Society
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Summary Excerpt Details

The disposal of municipal solid waste in dumpsites located near to existing properties is a serious problem in developing countries, and littering of MSW is common in the streets that does not have adequate final disposal and responsible for serious negative impacts human health and the environment.

This work studies the off-site economic impact of solid waste dump on value of nearby residential properties with particular reference to Offa metropolis, Kwara state, Nigeria. The study hypothesized that solid waste dumpsite has no significant effect (positive or negative) on the values of its proximate properties. The hypothesis is tested with a standard hedonic pricing model using a sample of 450 respondents across the study area. The F- statistics for the model are highly significant at the 1% level, and R2 values are high in the model suggesting that a very high significance could be placed on the results and that the eight housing attributes considered sufficiently account for variation in apartment rentals the study area. Out of the eight explanatory variables used in the analysis, five of them show positive signs of considerable impact on rent apartment price.

The findings in this work suggest that waste dumpsites within fully developed residential area should be closed down and relocated. It is further suggested the need to introduce a recycling programmes through modern methods with a view of turning waste to wealth in the study area as it has being practiced in neighboring State of Osun, Nigeria.

Excerpt


Inhaltsverzeichnis (Table of Contents)

  • Introduction.
    • Economic perspective of housing demand and population influx.
  • Functional Form of Regression Model and Empirical Specification of a Study.
    • Functional form of regression model.
    • Empirical specification.
  • Study Area, Data Sample, and Research Design.
    • Study area.
      • Solid waste generation and disposal system.
      • Municipal solid waste management system.
    • Data sample and research design.
      • Data sample.
      • Research design.
  • Discussions of Findings.
    • Hedonic regression analysis of property off-site effect to waste dumpsite on apartment value.
  • Summary of Findings.
  • Conclusion and Recommendations.

Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)

This study examines the economic impact of municipal waste dumpsites on property values in Offa, Kwara State, Nigeria. It utilizes hedonic pricing models to determine the relationship between property characteristics and rental prices in the presence of a waste dumpsite.

  • Economic impact of municipal waste dumpsites on property values.
  • Hedonic pricing models to assess property value.
  • Environmental and social impact of waste management practices.
  • Relationship between housing demand and population influx in developing countries.
  • Sustainable evaluation of development incorporating social, environmental, and economic dimensions.

Zusammenfassung der Kapitel (Chapter Summaries)

  • Introduction: This chapter sets the stage for the study by discussing the increasing problem of municipal solid waste generation and its impact on property values, particularly in developing countries. It explores the economic and environmental implications of proximity to waste dumpsites, emphasizing the potential for contamination and the negative externalities associated with such locations. The chapter also highlights the growing demand for housing in urban areas due to population influx and the need for sustainable development practices.
  • Functional Form of Regression Model and Empirical Specification of a Study: This chapter delves into the methodology employed in the study, focusing on the hedonic pricing model used to examine the relationship between property values and various environmental factors. It provides a detailed explanation of the model's functional form and the specific variables selected for analysis.
  • Study Area, Data Sample, and Research Design: This chapter presents the study area, Offa metropolis, Kwara state, Nigeria, describing its waste generation and disposal systems. It outlines the data collection methods and the research design employed to gather information about property values and their proximity to the waste dumpsite. The chapter further elaborates on the sample size and the specific characteristics of the respondents.
  • Discussions of Findings: This chapter focuses on the results of the hedonic regression analysis, examining the impact of the waste dumpsite on apartment rental values. It analyzes the coefficients of the various explanatory variables, including proximity to the dumpsite, and draws conclusions about their influence on property values.

Schlüsselwörter (Keywords)

The study focuses on the economic impact of waste dumpsites on property values, employing the hedonic pricing model. Key terms include: hedonic model, dumpsites, property value, regression model, MSW, Offa, environmental impact, sustainable development, housing demand, population influx, and urban planning.

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Details

Title
Economic Impact Appraisal of Municipal Solid Waste Dumpsite on Nearby Properties using Hedonic Model
Grade
A
Authors
Muniru Oyewale Sholadoye (Author), Abdulfatai Adeyinka Tomori (Author)
Publication Year
2018
Pages
19
Catalog Number
V388781
ISBN (eBook)
9783668643215
ISBN (Book)
9783668643222
Language
English
Tags
hedonic model dumpsites property value regression model msw offa
Product Safety
GRIN Publishing GmbH
Quote paper
Muniru Oyewale Sholadoye (Author), Abdulfatai Adeyinka Tomori (Author), 2018, Economic Impact Appraisal of Municipal Solid Waste Dumpsite on Nearby Properties using Hedonic Model, Munich, GRIN Verlag, https://www.grin.com/document/388781
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