EXIOBASE v3.3.sm

Description: A new version of the monetary product-by-product ITA IO database EXIOBASE v3.3 1995-2011 where materials produced with secondary technologies (i.e. recycling industries) are explicitly represented.

Institute: Leiden University, Institute of Environmental Sciences CML, Department of Industrial Ecology
Authors: Franco Donati, Arjan de Koning, Sidney Niccolson
Year:2019


Files in data.zip can be imported directly into python using numpy or pandas.

    Y_v4.npy = Final Demand matrix (one aggregated final demand category per country)
    A_v4.npy = Technical coefficient matrix
    L_v4.npy = Leontief inverse matrix
    B_v4.npy = Indicators coefficient matrix (selected extensions and characterized indicators, it does not contain the full Exiobase extensions)

All IO tables contained in the data.zip folder do not have labels. In order to understand regions and categories' locations labels need to be associated to the tables. 

Labels arrangement by matrix with labels under the labels folder

    Y_v4.npy  => products x final_demand
    A_v4.npy, L_v4.npy => products x products
    B_v4.npy => indicators x products


The folder label_trees contains all labels as used for selectables in the ramascene platform. These files are different from those under the labels folder as they contain nested structures of different labels which may be useful for aggregation. 

    final_countryTree_exiovisuals.csv => it contains macro-regions and regions
    final_productTree_exiovisuals.csv => it contains sectors, subsectors and product categories
    modelling_final_productTree_exiovisuals.csv => similar to final_productTree_exiovisuals.csv but it contains also final demand as a selectable
    mod_indicators.csv => nested labels of the indicators