Public–private partnership (PPP) has been positioned as a relevant contracting method for developing large-scale infrastructureprojects that entails potentially high-magnitude negative impacts on the environment. The effectiveness of the environmental impact assess-ment (EIA) is crucial to achieving sustainable development of these large-scale infrastructure projects. To unravel the drivers for the EIAeffectiveness and the multiple combinations built by the complexity of these drivers, this paper analyzes 28 road PPP projects from Colombiaemploying a fuzzy-set qualitative comparative analysis (fsQCA) approach. This paper decodes conjectural causal links between specificconditions grouped in superordinate clusters (i.e., consultants’capability, project features, and communities’participation) and EIA effec-tiveness dimensions (i.e., normative, procedural, substantive, and transactive). Findings revealed that no single combination of causal con-ditions ensures multidimensional EIA effectiveness. This study demonstrated that EIA effectiveness relies significantly on the integration ofspecific features of three external stakeholders: consultants, nonpreferred proponents, and communities. This study constitutes the first em-pirical multidimensional identification of the combination of conditions that generate EIA effectiveness in road PPPs.

Environmental Impact Assessment Effectiveness in Public-Private Partnerships: Study on the Colombian Road Program / Gabriel, Castelblanco; Jose, Guevara; Diego, Rojas; Juan, Correa; Koen, Verhoest. - In: JOURNAL OF MANAGEMENT IN ENGINEERING. - ISSN 0742-597X. - ELETTRONICO. - 39:2(2023). [10.1061/JMENEA.MEENG-5015]

Environmental Impact Assessment Effectiveness in Public-Private Partnerships: Study on the Colombian Road Program

Gabriel Castelblanco;
2023

Abstract

Public–private partnership (PPP) has been positioned as a relevant contracting method for developing large-scale infrastructureprojects that entails potentially high-magnitude negative impacts on the environment. The effectiveness of the environmental impact assess-ment (EIA) is crucial to achieving sustainable development of these large-scale infrastructure projects. To unravel the drivers for the EIAeffectiveness and the multiple combinations built by the complexity of these drivers, this paper analyzes 28 road PPP projects from Colombiaemploying a fuzzy-set qualitative comparative analysis (fsQCA) approach. This paper decodes conjectural causal links between specificconditions grouped in superordinate clusters (i.e., consultants’capability, project features, and communities’participation) and EIA effec-tiveness dimensions (i.e., normative, procedural, substantive, and transactive). Findings revealed that no single combination of causal con-ditions ensures multidimensional EIA effectiveness. This study demonstrated that EIA effectiveness relies significantly on the integration ofspecific features of three external stakeholders: consultants, nonpreferred proponents, and communities. This study constitutes the first em-pirical multidimensional identification of the combination of conditions that generate EIA effectiveness in road PPPs.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2977047