Exposure to green areas: Modelling health benefits in a context of study heterogeneity
Authors
Chiabai , Aline; Quiroga Gómez, Sonia; Martinez-Juarez , Pablo; Suárez Gálvez, Cristina Isabel; García De Jalón , Silvestre; [et al.]Identifiers
Permanent link (URI): http://hdl.handle.net/10017/59451DOI: 10.1016/j.ecolecon.2019.106401
ISSN: 0921-8009
Date
2020Affiliation
Universidad de Alcalá. Departamento de EconomíaBibliographic citation
Ecological Economics, 2020, v. 167, n. 106401
Keywords
Green areas
Health risk reduction
Heckman Selection Model
Contextual factors
Health inequalities
Adaptation
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/publishedVersion
Rights
© los autores
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Access rights
info:eu-repo/semantics/openAccess
Abstract
Although the beneficial health effects of green areas are gaining recognition, epidemiological studies show
mixed results with significance varying considerably by study and context, indicating that there is no unique and
clear evidence. This relationship is influenced by multiple factors and characterised by high complexity not
previously been incorporated in one single analysis. This study proposes a new application of the Heckman
selection model to find evidence of key patterns emerging throughout the literature and identify main determinants
affecting the relationship. The model aggregates outcomes of different studies and allows an assessment
of both significant and non-significant results from the literature in order to correct for unobserved
selection bias. Close attention is paid to the relevance of the background, particularly socioeconomic context.
The results show significant health benefits associated with increased exposure to green areas, where higher risk
reductions are observed for old and adult age groups, as well as in poorer countries, taking into account the
correction for the publication bias. This last issue points towards a redistributive impact of green areas in terms
of health and the importance of co-benefits arising from Ecosystem-based Adaptation, especially in poorer
neighbourhoods, translating in health care savings and reduced productivity loss.
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