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Artículo

Toward rigorous telecoupling causal attribution: A systematic review and typology

Carlson, Andrew K.; Zaehringer, Julie G.; Garrett, Rachael D.; Silva, Ramon Felipe Bicudo; Furumo, Paul R.; Raya Rey, Andrea NélidaIcon ; Torres, Aurora; Chung, Min Gon; Li, Yingjie; Liu, Jianguo
Fecha de publicación: 11/2018
Editorial: MDPI
Revista: Sustainability (Switzerland)
ISSN: 2071-1050
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Naturales y Exactas

Resumen

Telecoupled flows of people, organisms, goods, information, and energy are expanding across the globe. Causes are integral components of the telecoupling framework, yet the rigor with which they have been identified and evaluated to date is unknown. We address this knowledge gap by systematically reviewing causal attribution in the telecoupling literature (n = 89 studies) and developing a standardized causal terminology and typology for consistent use in telecoupling research. Causes are defined based on six criteria: sector (e.g., environmental, economic), system of origin (i.e., sending, receiving, spillover), agent, distance, response time (i.e., time lapse between cause and effect), and direction (i.e., producing positive or negative effects). Using case studies from the telecoupling literature, we demonstrate the need to enhance the rigor of telecoupling causal attribution by combining qualitative and quantitative methods via process-tracing, counterfactual analysis, and related approaches. Rigorous qualitative-quantitative causal attribution is critical for accurately assessing the social-ecological causes and consequences of telecouplings and thereby identifying leverage points for informed management and governance of telecoupled systems.
Palabras clave: CAUSALITY , CAUSE , COUPLED HUMAN AND NATURAL SYSTEMS , EFFECT , TELECOUPLING
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/94800
DOI: http://dx.doi.org/10.3390/su10124426
URL: https://www.mdpi.com/2071-1050/10/12/4426
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Articulos(CADIC)
Articulos de CENTRO AUSTRAL DE INVESTIGACIONES CIENTIFICAS
Citación
Carlson, Andrew K.; Zaehringer, Julie G.; Garrett, Rachael D.; Silva, Ramon Felipe Bicudo; Furumo, Paul R.; et al.; Toward rigorous telecoupling causal attribution: A systematic review and typology; MDPI; Sustainability (Switzerland); 10; 12; 11-2018; 1-17
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