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Published on: February 1, 2020
Chinese provincial multi-regional input-output database for 2012, 2015, and 2017
Heran Zheng1, Yangchun Bai2, Wendong Wei3
1Industrial Ecology Programme, Department of Energy and Process Engineering, Norwegian University of Science and Technology, Trondheim, 7491, Norway. heran.zheng@ntnu.no.
This study presents multi-regional input-output (MRIO) tables for China, revealing regional supply chain evolution. The data enables analysis of socioeconomic and environmental impacts across Chinese provinces.
Area of Science:
- Economics
- Environmental Science
- Regional Science
Background:
- Global production fragmentation causes indirect socioeconomic and environmental impacts.
- Multi-regional input-output (MRIO) models trace supply chains but face data limitations, especially at sub-national levels.
Purpose of the Study:
- To construct consistent multi-regional input-output (MRIO) tables for 31 Chinese provinces across 42 economic sectors for 2012, 2015, and 2017.
- To reveal the evolution of regional supply chains and economic structures in China before the 2018 US-Sino trade war.
- To provide a benchmark dataset for in-depth studies on production and consumption structures.
Main Methods:
- Employed hybrid methods to construct the MRIO tables using available data for each specified year.
- Compiled a consistent China MRIO table collection for sub-national analysis.
Main Results:
- Developed a novel dataset of consistent China MRIO tables for 2012, 2015, and 2017 at the provincial level.
- Illustrated the evolution of China's regional supply chains and economic structure during a key economic transition period.
- The dataset highlights inter-provincial economic linkages and structural changes.
Conclusions:
- The consistent China MRIO table collection offers valuable insights into regional supply chain dynamics.
- This dataset serves as a crucial benchmark for future research on China's economic landscape.
- Facilitates a deeper understanding of spillover effects and structural evolution in China's economy.
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