Código de proyecto: PID2020-119152GB-I00
Palabras clave: Settlement patterns Resource demand Material stocks Material footprint Infrastructure patterns Industrial ecology sustainability settlement patterns resource demand metabolism material stocks material footprint infrastructure patterns indicators flows economy consumption
Fecha de alta del registro: 2024-06-15
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
URL Documento de licencia: http://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Journal Of Industrial Ecology.
Referencia de l'ítem segons les normes APA: Duro, JA; Perez-Laborda, A; Löw, M; Matej, S; Plank, B; Krausmann, F; Wiedenhofer, D; Haberl, H (2024). Spatial patterns of built structures co-determine nations level of resource demand. Journal Of Industrial Ecology, (), -. DOI: 10.1111/jiec.13470
Tipo de publicación: Journal Publications
Código de projecto 3: PID2020-119152GB-I00
Autor según el artículo: Duro, JA; Perez-Laborda, A; Löw, M; Matej, S; Plank, B; Krausmann, F; Wiedenhofer, D; Haberl, H
Departamento: Economia
Acrónimo 3: MAT_STOCKS
Autor/es de la URV: Duro Moreno, Juan Antonio / Perez Laborda, Alejandro
Resumen: Societies’ use of material resources is increasingly recognized as a key factor behind sustainability problems. The mass of materials used per capita and year differs substantially between countries. However, a limited range of variables (mostly per-capita gross domestic product [GDP]) were analyzed to explain this variation. Spatial patterns of cities influence their resource use, but the role of patterns of settlements and infrastructures as co-determinants of national-level material use is unknown, mainly due to lacking data to investigate their effects at that scale. Here we start closing this gap by systematically analyzing a broad set of potential determinants of national per-capita material demand, including built structures. Material demand is represented by both production- and consumption-based indicators. Among its potential determinants, we analyze eight novel indicators representing extent and spatial patterns of settlements and transport infrastructures in each country, along with GDP and other indicators considered so far. Analyzing 123 countries inhabited by 91% of the world population and accounting for 92% of world GDP, we show that built structures strongly co-determine resource use. Indicators of extent and spatial patterns of built structures have substantial additional explanatory power beyond GDP and other conventional indicators for both production- and consumption-based material flow indicators. The area of built-up land per capita emerges as the strongest predictor, but several other indicators representing built structures are also highly relevant. Limiting built-up land and designing spatial patterns of built structures hence deserve attention in attempts to reduce societies’ resource throughput.
Áreas temáticas: Social sciences (miscellaneous) Social sciences (all) Interdisciplinar Green & sustainable science & technology General social sciences General environmental science Environmental sciences Environmental science (miscellaneous) Environmental science (all) Engineering, environmental Engenharias iii Economics and econometrics Economia Ciencias sociales
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: juanantonio.duro@urv.cat juanantonio.duro@urv.cat alejandro.perez@urv.cat
Identificador del autor: 0000-0002-1106-5251 0000-0002-1106-5251 0000-0003-4247-598X
Codigo del proyecto 2: 74195
Programa de financiación 2: H2020 European Research Council
Enlace a la fuente original: https://onlinelibrary.wiley.com/doi/full/10.1111/jiec.13470
Programa de financiación: MCIN/AEI
Programa de financiación 3: European Union's Horizon 2020
DOI del artículo: 10.1111/jiec.13470
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2024
Repositori URV