Monitoring domestic material consumption at lower territorial levels: A novel data downscaling method
| Autor: | Ikerne del Valle, Carlos Tapia, Marco Bianchi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
media_common.quotation_subject Domestic Material Consumption (DMC) 0211 other engineering and technologies Extrapolation Sample (statistics) 02 engineering and technology 010501 environmental sciences 01 natural sciences Scarcity Econometrics Regional MFA 021108 energy Circular Economy 0105 earth and related environmental sciences General Environmental Science media_common Industrial ecology Material consumption Circular economy Social metabolism General Social Sciences Material flow Economy-Wide Material flow analysis (EW-MFA) Downscaling |
| Zdroj: | Journal of Industrial Ecology. 24:1074-1087 |
| ISSN: | 1530-9290 1088-1980 |
| Popis: | 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. The authors gratefully acknowledge partial funding by the ESPON EGTC (project CIRCTER). |
| Databáze: | OpenAIRE |
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