Empirical Review on Determinants of Willingness to Pay for Natural and Environmental Resource Valuation: Meta-Analysis

Even if natural and environmental resource plays detrimental role prosperity of nations, measuring their value is highly problematic. Lack of realistic markets data to estimate its value for the goods and services necessitates the use of nonmarket valuation techniques. The meta-analysis was carried out to see the mean size effect of certain demographic, socioeconomic and institutional factors on willingness to pay of natural resources conservation and improvement. The empirical analysis review was done on about 57 published articles for total of 116 observations. The data synthesis was done from published articles include coefficients of explanatory variable and standard error, model used, value measured, study region, sample size and publication from the year of 2002 up to 2019 year. The data analyzed in excel sheet and SPSS software. The study countries were Ethiopia, Uganda, Kenya, Guinea, Nigeria, Malaysia, USA, Iraq, China and India. The result confirmed that measurement errors and heterogeneity of case studies, interviewed resulted difference in willingness to pay estimate. The result implied inverse relationship between willingness estimate and environmental resource valued and study destination [Eat Africa]. The meta-analysis indicated mean size effect of willingness to pay defined as function of income, age, bid value, occupation, sex, knowledge, and education level of respondents. The empirical analysis result showed that increasing awareness, enabling to expand income earning believed to increase the willingness to pay value.

Authors

Publication Details

Journal
International Journal of Economy Energy and Environment
Published
2024-08-20
DOI
https://doi.org/10.11648/j.ijeee.20240903.12
Primary Topic
Economic and Environmental Valuation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Empirical Review on Determinants of Willingness to Pay for Natural and Environmental Resource Valuation: Meta-Analysis

Zekarias Bassa
International Journal of Economy Energy and Environment
Economic and Environmental Valuation
article

Empirical Review on Determinants of Willingness to Pay for Natural and Environmental Resource Valuation: Meta-Analysis

Zekarias Bassa
article en

Abstract

Even if natural and environmental resource plays detrimental role prosperity of nations, measuring their value is highly problematic. Lack of realistic markets data to estimate its value for the goods and services necessitates the use of nonmarket valuation techniques. The meta-analysis was carried out to see the mean size effect of certain demographic, socioeconomic and institutional factors on willingness to pay of natural resources conservation and improvement. The empirical analysis review was done on about 57 published articles for total of 116 observations. The data synthesis was done from published articles include coefficients of explanatory variable and standard error, model used, value measured, study region, sample size and publication from the year of 2002 up to 2019 year. The data analyzed in excel sheet and SPSS software. The study countries were Ethiopia, Uganda, Kenya, Guinea, Nigeria, Malaysia, USA, Iraq, China and India. The result confirmed that measurement errors and heterogeneity of case studies, interviewed resulted difference in willingness to pay estimate. The result implied inverse relationship between willingness estimate and environmental resource valued and study destination [Eat Africa]. The meta-analysis indicated mean size effect of willingness to pay defined as function of income, age, bid value, occupation, sex, knowledge, and education level of respondents. The empirical analysis result showed that increasing awareness, enabling to expand income earning believed to increase the willingness to pay value.

International Journal of Economy Energy and EnvironmentVol. 9(3)
Haramaya University
Openalex Percentile: Top 83%
Economic and Environmental Valuation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.