DOI: 10.5281/zenodo.17671302
title: ADB MRIO Panel Data (2000-2023) for adbmrio R Package

description: This dataset provides a pre-processed, harmonized panel of the Asian Development Bank (ADB) Multi-Regional Input–Output (MRIO) tables. It integrates historical MRIO releases and the more recent environmentally extended tables into a single, consistent R list object, suitable for time-series analysis of production, trade, and global value chain (GVC) linkages.

All values are expressed in constant prices. The panel covers 63 economies and 35 sectors, with a uniform sectoral classification and matrix dimension across time.

Temporal Coverage

The panel contains 17 benchmark years within the 2000–2023 period:





Available years: 2000, 2007, 2008, 2009, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023




Non-available years: 2001–2006, 2010



Key Features





Harmonized time series. Variables, country coverage, sector coverage, and matrix dimensions are standardized across all 17 years.




Environmental extension.





2017–2023. Includes ADB’s Environmentally Extended Multiregional Input–Output Tables (EE-MRIOTs) with CO₂ emissions in both level form (CO2_raw) and intensity coefficients (CO2_coeff, CO2_diag).




2000–2016. Emission-related variables are zero-valued placeholder matrices. This design preserves a stable data structure so that code using emissions can run without modification while returning zeros for environmental indicators in earlier years.






Efficient storage. The dataset is stored as a compressed .rds file using sparse matrix formats to support large-scale linear algebra operations in R.



Intended Use

The panel is designed as the core input for the adbmrio R package and for MRIO-based research on trade, production linkages, and GVC participation. Its structure is compatible with bilateral trade decomposition and GVC analysis following, for example, Zhang et al. (2017) and related frameworks.

File Information





File name: ADB_MRIO_Merged_Panel_2000_2023.rds




Format: R serialized list object (saveRDS)



Dimensions





Number of economies (S): 63




Number of sectors per economy (N): 35




Total sectors (GN): 2,205




Global IO matrix size: 2,205 × 2,205



Data Structure

At the top level, the object is a list with two main elements:





metadata




years



Each entry mrio$years[["YYYY"]] corresponds to a specific benchmark year and contains:





dimensions





num_countries (63)




num_sectors (35)




total_sectors (2,205)






core_matrices





Z . Intermediate use matrix (2,205 × 2,205)




X . Gross output vector (2,205 × 1)




Y . Final demand matrix (2,205 × 315)




VA_raw . Value-added vector (2,205 × 1)






coefficients





A . Total technical coefficient matrix




A_D . Block-diagonal domestic technical coefficients




A_F . Foreign (cross-border) technical coefficients




VA_coeff . Value-added coefficients




VA_diag . Diagonal matrix of value-added coefficients






multipliers





B . Global Leontief inverse, ((I - A)^{-1})




L . Domestic Leontief inverse, ((I - A_D)^{-1})






final_demand





Y_R . Total final demand by sector




Y_D_R . Domestic final demand by sector




Y_F_R . Foreign (export) final demand by sector




Y_country . Final demand by absorbing country (2,205 × 63)




Y_D . Domestic final demand matrix




Y_F . Foreign final demand matrix






trade





E_s . Gross exports by sector






emissions





CO2_raw CO₂ emissions vector (non-zero for 2017–2023, zeros for 2000–2016)




CO2_coeff . CO₂ emission coefficients




CO2_diag . Diagonal matrix of emission coefficients





The metadata element records the list of years included, the number of countries and sectors, and basic information on the data source and matrix format.

Related Software





R package: adbmrio





Repository: https://github.com/BallavBabu/adbmrio





Attribution

This dataset is constructed from the Asian Development Bank MRIO Database. Users should cite the original ADB MRIO documentation and data sources when using this panel in academic or policy research, in addition to citing this Zenodo record and any related methodological papers.