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Importance measurement of domestic and foreign firms in Chinese provinces: A multi-regional input-output table based on the double extension of geographic regions and firm ownerships Cover

Importance measurement of domestic and foreign firms in Chinese provinces: A multi-regional input-output table based on the double extension of geographic regions and firm ownerships

Journal of Data and Information Science
Volume 10 (2025): Issue 4 (November 2025)
By: Fangke Liu and  Lizhi Xing  
Open Access
|Aug 2025

Figures & Tables

Figure 1.

The process flow chart of RODE-MRIO compilation.
The process flow chart of RODE-MRIO compilation.

Table 1.

IRIO table.
IRIO table.

Figure 2.

Provincial Inter-Industry Output Trends by Sector Based on IRIO (2010–2019). (a), (c), and (e) display three volatile sectors: S14 (Computer, electronic and optical equipment), S21 (Information transfer, software and IT services), and S22 (Financial and insurance activities). (b), (d), and (f) show three stable sectors: S16 (Electricity, gas, water supply, sewerage, waste and remediation services), S23 (Real estate activities), and S26 (Public administration and defence). Each line represents the total output of a sector in a specific province: gray = Beijing, red = Henan, blue = Shanghai, and green = Chongqing. The output is measured by the IRIO row sum, indicating the sector’s total intermediate input to the rest of China.
Provincial Inter-Industry Output Trends by Sector Based on IRIO (2010–2019). (a), (c), and (e) display three volatile sectors: S14 (Computer, electronic and optical equipment), S21 (Information transfer, software and IT services), and S22 (Financial and insurance activities). (b), (d), and (f) show three stable sectors: S16 (Electricity, gas, water supply, sewerage, waste and remediation services), S23 (Real estate activities), and S26 (Public administration and defence). Each line represents the total output of a sector in a specific province: gray = Beijing, red = Henan, blue = Shanghai, and green = Chongqing. The output is measured by the IRIO row sum, indicating the sector’s total intermediate input to the rest of China.

Figure 3.

FIS Output Trends by Sector and Province Based on OE-IRIO (2010-2019). a–f show the OE-IRIO row sum (sector’s total intermediate output to the rest of China) for sectors S14, S16, S21, S23, S22 and S26, respectively. Colored dots and lines represent provinces: gray = Beijing, red = Henan, blue = Shanghai, green = Chongqing.
FIS Output Trends by Sector and Province Based on OE-IRIO (2010-2019). a–f show the OE-IRIO row sum (sector’s total intermediate output to the rest of China) for sectors S14, S16, S21, S23, S22 and S26, respectively. Colored dots and lines represent provinces: gray = Beijing, red = Henan, blue = Shanghai, green = Chongqing.

Table 11.

RODE-MRIO table (intermediate use area).
RODE-MRIO table (intermediate use area).

Table 12.

RODE-MRIO table containing only two countries (intermediate use area).
RODE-MRIO table containing only two countries (intermediate use area).

Figure 4.

Topology of the GDFEBN-PRC model. (a) and (b)shows the network structure in 2010, and panel (b) shows the structure in 2019. Red nodes represent domestic-invested sectors (DIS), and blue nodes represent foreign-invested sectors (FIS). Node size reflects node degree, indicating the level of connectivity within the network.
Topology of the GDFEBN-PRC model. (a) and (b)shows the network structure in 2010, and panel (b) shows the structure in 2019. Red nodes represent domestic-invested sectors (DIS), and blue nodes represent foreign-invested sectors (FIS). Node size reflects node degree, indicating the level of connectivity within the network.

Figure 5.

Downstream Value Chain Influence of FIS by Province in China.
Downstream Value Chain Influence of FIS by Province in China.

Figure 6.

Upstream Value Chain Influence of FIS by Province in China.
Upstream Value Chain Influence of FIS by Province in China.

Figure 7.

Global Value Chain Profitability of FIS by Province in China.
Global Value Chain Profitability of FIS by Province in China.

Figure 8.

Downstream Value Chain Robustness of FIS by Province in China.
Downstream Value Chain Robustness of FIS by Province in China.

Figure 9.

Upstream Value Chain Robustness of FIS by Province in China.
Upstream Value Chain Robustness of FIS by Province in China.

OE-IRIO table_

Region R1R2
OwnershipDFDF
R1DZDDR1R1 ZDFR1R1 ZDDR1R2 ZDFR1R2
FZFDR1R1 ZFFR1R1 ZFDR1R2 ZFFR1R2
R2DZDDR2R1 ZDFR2R1 ZDDR2R2 ZDFR2R2
FZFDR2R1 ZFFR2R1 ZFDR2R2 ZFFR2R2

ICIO table for two countries and two sectors (intermediate use area)_

Country AB
SectorS1S2S1S2
AS1ZS1S1AA ZS1S2AA ZS1S1AB ZS1S2AB
S2ZS2S1AA ZS2S2AA ZS2S1AB ZS2S2AB
BS1ZS1S1BA ZS1S2BA ZS1S1BB ZS1S2BB
S2ZS2S1BA ZS2S2BA ZS2S1BB ZS2S2BB

IRIO table prioritized by sector (intermediate use area)_

Sector S1S2
RegionR1R2R1R2
S1R1ZS1S1R1R1 ZS1S1R1R2 ZS1S2R1R1 ZS1S2R1R2
R2ZS1S1R2R1 ZS1S1R2R2 ZS1S1R2R2 ZS1S2R2R2
S2R1ZS2S1R1R1 ZS2S1R1R2 ZS2S2R1R1 ZS2S2R1R2
R2ZS2S1R2R1 ZS2S1R2R2 ZS2S2R2R1 ZS2S2R2R2

OE-ICIO table prioritized by sector (intermediate use area)_

Sector S1S2
CountryABAB
S1(D)AZS1S1AA ZS1S1AB ZS1S2AA ZS1S2AB
BZS1S1BA ZS1S1BB ZS1S2BA ZS1S2BB
S2(D)AZS2S1AA ZS2S1AB ZS2S2AA ZS2S2AB
BZS2S1BA ZS2S1BB ZS2S2BA ZS2S2BB
S1(F)AZS1S1AA ZS1S1AB ZS1S2AA ZS1S2AB
BZS1S1BA ZS1S1BB ZS1S2BA ZS1S2BB
S2(F)AZS2S1AA ZS2S1AB ZS2S2AA ZS2S2AB
BZS2S1BA ZS2S1BB ZS2S2BA ZS2S2BB

OE-IRIO table prioritized by sector (intermediate use area)_

Sector S1S2
RegionR1R2R1R2
S1(D)R1ZS1S1R1R1 ZS1S1R1R2 ZS1S2R1R1 ZS1S2R1R2
R2ZS1S1R2R1 ZS1S1R2R2 ZS1S2R2R1 ZS1S2R2R2
S2(D)R1ZS2S1R1R1 ZS2S1R1R2 ZS2S2R1R1 ZS2S2R1R2
R2ZS2S1R2R1 ZS2S1R2R2 ZS2S2R2R1 ZS2S2R2R2
S1(F)R1ZS1S1R1R1 ZS1S1R1R2 ZS1S2R1R1 ZS1S2R1R2
R2ZS1S1R2R1 ZS1S1R2R2 ZS1S2R2R1 ZS1S2R2R2
S2(F)R1ZS2S1R1R1 ZS2S1R1R2 ZS2S2R1R1 ZS2S2R1R2
R2ZS2S1R2R1 ZS2S1R2R2 ZS2S2R2R1 ZS2S2R2R2

ICIO table prioritized by sector(intermediate use area)_

Sector S1S2
CountryABAB
S1AZS1S1AA ZS1S1AB ZS1S2AA ZS1S2AB
BZS1S1BA ZS1S1BB ZS1S2BA ZS1S2BB
S2AZS2S1AA ZS2S1AB ZS2S2AA ZS2S2AB
BZS2S1BA ZS2S1BB ZS2S2BA ZS2S2BB

Interregional input-output coefficients based on IRIO tables (intermediate-use area)_

Sector S1S2
RegionR1R2R1R2
S1R1AS1S1R1R1 AS1S1R1R2 AS1S2R1R1 AS1S2R1R2
R2AS1S1R2R1 AS1S1R2R2 AS1S2R2R1 AS1S2R2R2
S2R1AS2S1R1R1 AS2S1R1R2 AS2S2R1R1 AS2S2R1R2
R2AS2S1R2R1 AS2S1R2R2 AS2S2R2R1 AS2S2R2R2

Table RE-MRIO for regional extensions for country A (intermediate use area)_

Country/Region AR1AR2B
SectorS1S2S1S2S1S2
AR1S1ZS1S1AR1AR1 ZS1S2AR1AR1 ZS1S1AR1AR2 ZS1S2AR1AR2 ZS1S1AR1B ZS1S2AR1B
S2ZS2S1AR1AR1 ZS2S2AR1AR1 ZS2S1AR1AR2 ZS2S2AR1AR2 ZS2S1AR1B ZS2S1AR2B
AR2S1ZS1S1AR2AR1 ZS1S2AR2AR1 ZS1S1AR2AR2 ZS1S2AR2AR2 ZS1S1AR2B ZS1S2AR2B
S2ZS2S1AR2AR1 ZS2S2AR2AR1 ZS2S1AR2AR2 ZS2S2AR2AR2 ZS2S2AR1B ZS2S2AR2B
BS1ZS1S1BAR1 ZS1S2BAR1 ZS1S1BAR2 ZS1S2BAR2 ZS1S1BB ZS1S2BB
S2ZS2S1BAR1 ZS2S2BAR1 ZS2S1BAR2 ZS2S2BAR2 ZS2S1BB ZS2S2BB

IRIO table for two regions and two sectors in country A (intermediate use area)_

Region R1R2
SectorS1S2S1S2
R1S1ZS1S1R1R1 ZS1S2R1R1 ZS1S1R1R2 ZS1S2R1R2
S2ZS2S1R1R1 ZS2S2R1R1 ZS2S1R1R2 ZS2S2R1R2
R2S1ZS1S1R2R1 ZS1S2R2R1 ZS1S1R2R2 ZS1S2R2R2
S2ZS2S1R2R1 ZS2S2R2R1 ZS2S1R2R2 ZS2S2R2R2
DOI: https://doi.org/10.2478/jdis-2025-0041 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 13 - 43
Submitted on: Mar 11, 2025
Accepted on: Jul 9, 2025
Published on: Aug 7, 2025
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Multiregional Input-Output Tables,
Global Value Chain Reconfiguration,
Industry Shift,
Development Heterogeneity
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2025 Fangke Liu, Lizhi Xing, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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