Back to Search Start Over

Incorporating supra-local social structure into social impact assessment using causal network analysis.

Authors :
Aledo, Antonio
Ortiz, Guadalupe
Mañas-Navarro, José Javier
Climent-Gil, Emilio
Vallejos-Romero, Arturo
Source :
Environmental Impact Assessment Review; Jul2021, Vol. 89, pN.PAG-N.PAG, 1p
Publication Year :
2021

Abstract

This paper discusses the incorporation of supra-local social structure (SLSS) analysis into social impact assessment (SIA) practice in order to afford a deeper and more complex understanding of the social production of the impacts of planned interventions. We define SLSS as the total set of political, economic, socio-cultural and ideological driving forces and external structural phenomena shaping the social vulnerability of affected communities. We advocate causal network analysis for effectively incorporating SLSS into SIA and we take the conflict over the HydroAysén project in Chilean Patagonia as an empirical case study. While previous applications have interpreted planned interventions as the root cause of impacts, this paper analyses the dialectical interaction of four elements: the SLSS, the local community, the planned intervention and its impacts. This application revealed two fundamental issues. First, on a theoretical-conceptual level, it showed the capacity of SLSS to mould the causal pathways of a project's impacts on the affected community. Second, on an applied level, it enabled identification of the elements that should be addressed to facilitate social management of the project. • Technocratic practice of SIA has excluded the study of the sociostructural environment. • The SSE includes macro and meso driving forces acting on a supralocal scale. • Multicausal Impact Network Analysis allows for SSE incorporation into SIA. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01959255
Volume :
89
Database :
Supplemental Index
Journal :
Environmental Impact Assessment Review
Publication Type :
Academic Journal
Accession number :
150412386
Full Text :
https://doi.org/10.1016/j.eiar.2021.106604