Domestic Material Consumption - Europe (NUTS 2) regions

Published: 05-02-2021| Version 2 | DOI: 10.17632/95bkkgcvnn.2
Contributor:
Marco Bianchi

Description

The dataset provides regional (NUTS 2) estimates for the DMC indicator from 2006 to 2015. The provision of granular data on material consumption represents a critical input for comparative research conducted at regional level. It can potentially advance the general understanding of metabolic systems and their influencing factors at local levels, supporting the design of place-based policies and strategies in support of sustainable resource use. The methodology is based on a three-steps econometric model, including: (1) global model specification, (2) optimization of parameters, and (3) regional extrapolation. Step (1) focuses on the identification of the best regression model describing DMC patterns across European countries. The main output of this first task is the estimation of the global parameters (i.e. the regression coefficients observed between DMC and its explanatory variables at European level). Step (2) calibrates the model in order to reflect the specific socio-metabolic regimes of the different countries. This calibration is implemented by an optimization algorithm that automatically adjusts the estimated parameters based on the specific characteristics of each country. This generates a set of country-specific parameters. Finally, in Step (3) we extrapolate the regional figures for DMC by applying the country-specific parameters on the selected explicative variables, measured at the regional level. Even though the method relies on the assumption of same model specification across scales – similarly to other top-down approaches –, it offers two important advantages on how territorial heterogeneity is considered in the model. First it considers the issue of national regimes dependency, and second it avoids approximation based on a single proxy factor by accounting for multiple correlations.. A detailed description of the methodology is provided in https://doi.org/10.1111/jiec.13000.

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https://doi.org/10.1111/jiec.13000