| Title |
Monitoring domestic material consumption at lower territorial levels: A novel data downscaling method |
| ID_Doc |
27270 |
| Authors |
Bianchi, M; Tapia, C; del Valle, I |
| Title |
Monitoring domestic material consumption at lower territorial levels: A novel data downscaling method |
| Year |
2020 |
| Published |
Journal Of Industrial Ecology, 24.0, 5 |
| DOI |
10.1111/jiec.13000 |
| Abstract |
The availability of harmonized and granular information is critical for the design of place-sensitive policies toward more sustainable economies. However, accessibility to disaggregated data at subnational levels remains an exception in many geographies and policy domains. In this article, we develop a novel three-stage-specification, optimization, extrapolation (SOE)-econometric approach to infer harmonized regional level estimates from broadly available socioeconomic data. The approach is tested by estimating domestic material consumption (DMC) in more than 280 European regions (at NUTS 2 level). Unlike previous methods based on similar econometric techniques, our method makes explicit the socio-metabolic profiles of subnational territories by estimating and applying country-specific elasticities. Our DMC estimates are consistent with those obtained by ad hoc material flow studies that could be accessed for a sample of regions. The SOE method presented in this paper provides decision-makers with a powerful tool to explore socio-metabolic profiles at subnational level and therefore to understand the potential effects of policies aimed at supporting circular economy transitions at such levels. The method can also be adapted with relative ease to support policy designs in other policy areas challenged by severe data scarcity. |
| Author Keywords |
circular economy; domestic material consumption (DMC); economy-wide material flow analysis (EW-MFA); industrial ecology; regional MFA; social metabolism |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000525960600001 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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