Future Development of the Inter‐Country Input‐Output (ICIO) Database for Global Value Chain (GVC) and Environmental Analyses

Yamano, Norihiko; Webb, Colin

doi:10.1111/jiec.12758

Cited by 15 publications

(9 citation statements)

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“…Many scholars have constructed MRIO tables in the past decade, especially at the international level. The most commonly used MRIO tables in the international scientific community are GTAP 12 , 13 , WIOD 8 , EORA 14 , OECD-ICIO 15 and EXIOBASE 16 . In China, several provincial MRIO tables are already available (Table 1 ).…”

Section: Background and Summarymentioning

confidence: 99%

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

et al. 2021

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Global production fragmentation generates indirect socioeconomic and environmental impacts throughout its expanded supply chains. The multi-regional input-output model (MRIO) is a tool commonly used to trace the supply chain and understand spillover effects across regions, but often cannot be applied due to data unavailability, especially at the sub-national level. Here, we present MRIO tables for 2012, 2015, and 2017 for 31 provinces of mainland China in 42 economic sectors. We employ hybrid methods to construct the MRIO tables according to the available data for each year. The dataset is the consistent China MRIO table collection to reveal the evolution of regional supply chains in China’s recent economic transition. The dataset illustrates the consistent evolution of China’s regional supply chain and its economic structure before the 2018 US-Sino trade war. The dataset can be further applied as a benchmark in a wide range of in-depth studies of production and consumption structures across industries and regions.

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Section: Background and Summarymentioning

confidence: 99%

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

et al. 2021

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“…Environmentally-extended multi-regional-input-output (MRIO) analysis is one form of life-cycle assessment that can provide such information [14][15][16][17][18][19][20] . However, the level of detail is limited by the spatial, sectoral, and temporal resolution of the underlying MRIOdatabase [21][22][23][24][25][26][27] . Recently, an MRIO database with high spatial, sectoral, and temporal resolution has been created 28, 29 by using the synergies of two MRIO databases with high sectoral 21 and regional resolution 22 .…”

Section: Introductionmentioning

confidence: 99%

Hotspots of Mining-Related Biodiversity Loss in Global Supply Chains and the Potential for Reduction through Renewable Electricity

Cabernard¹,

Pfister²

2022

Preprint

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The expected growth in infrastructure and energy transition may exacerbate biodiversity loss by the rising demand for mining products. Many mining products are extracted in the Global South and exported to the global North for further processing and final consumption, where a link to the devastating environmental effects is often missing. Based on an enhanced multi-regional input-output database, this study assesses global biodiversity loss associated with land use of mining (mining-related) to identify hotspots, key processing industries, and final consumers of mining products. Our study reveals that half of global mining-related biodiversity loss occur in Indonesia, Australia, and New Caledonia. Major international trade flows of embodied biodiversity loss involve Indonesia’s coal exports to China and India, New Caledonia’s nickel exports to Japan and Australia, and Australia’s iron and aluminum exports to China. Key consumers include China’s growing infrastructure and households in the EU and USA. Electricity generation accounted for 10% of global mining-related biodiversity loss in 2014. The impact of coal-fired electricity is far higher compared to renewables, both overall and per electricity generated. Our results underline synergies in fostering renewables while reducing global biodiversity loss, and provide transparency for industry and policy to source more sustainable mining products.

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“…Wu and Sabuhoro (2018) examine heterogeneities in firm size, export status, and ownership and find that standard I-O tables generate a 5 percentage point downward bias in the import content of exports for Canada. Yamano and Webb (2018) lay out a broader ongoing agenda for supply-use and input-output tables to better account for firm-level heterogeneities.…”

Section: Introductionmentioning

confidence: 99%

Measuring Trade in Value Added With Firm-Level Data

Bems

Kikkawa

2019

SSRN Journal

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Future Development of the Inter‐Country Input‐Output (ICIO) Database for Global Value Chain (GVC) and Environmental Analyses

Cited by 15 publications

References 0 publications

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

Chinese provincial multi-regional input-output database for 2012, 2015, and 2017

Hotspots of Mining-Related Biodiversity Loss in Global Supply Chains and the Potential for Reduction through Renewable Electricity

Measuring Trade in Value Added With Firm-Level Data

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