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Research on China interregional industrial transformation slowdown and influencing factors of industrial transformation based on numerical simulation

Liyan Sun

Liyan Sun

School of Economics and Management, Anhui University of Science and TechnologyAnhui, China
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Sun, Liyan
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Yousef Saeed Alsenani

Yousef Saeed Alsenani

Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz UniversityJeddah, Saudi Arabia
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Alsenani, Yousef Saeed
 and 
Li Yang

Li Yang

School of Management, University of Science and Technology of ChinaAnhui, China
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Yang, Li
  
Dec 15, 2021
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Published Online: Dec 15, 2021
Page range: 561 - 570
Received: Jun 16, 2021
Accepted: Sep 24, 2021
DOI: https://doi.org/10.2478/amns.2021.1.00060
Keywords
© 2021 Liyan Sun et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

θ1 = θ2 The influence of different transportation costs on the composition of industrial transfer
θ1 = θ2 The influence of different transportation costs on the composition of industrial transfer

Fig. 2

θ1θ2=2 {{{\theta _1}} \over {{\theta _2}}} = 2 The influence of different transportation costs on the composition of industrial transfer
θ1θ2=2 {{{\theta _1}} \over {{\theta _2}}} = 2 The influence of different transportation costs on the composition of industrial transfer

Fig. 3

θ1θ2=5 {{{\theta _1}} \over {{\theta _2}}} = 5 The influence of different transportation costs on the composition of industrial transfer
θ1θ2=5 {{{\theta _1}} \over {{\theta _2}}} = 5 The influence of different transportation costs on the composition of industrial transfer

Fig. 4

θ1θ2=1 {{{\theta _1}} \over {{\theta _2}}} = 1 The influence of high, medium and low transportation cost on industrial transfer under the condition
θ1θ2=1 {{{\theta _1}} \over {{\theta _2}}} = 1 The influence of high, medium and low transportation cost on industrial transfer under the condition

Game results between firm 1 acting first and firm 2 acting later

Enterprise 2
{Cooperation, cooperation} {Cooperation, don’t cooperate} {Don’t cooperate, cooperation} {Don’t cooperate, don’t cooperate}
Cooperation 1 Cooperation 1 kR−C1 kR−C1 k2 R2 k2 R2
2 (1−k+s) R−C2 (1−k+s) R−C2 − k2 R2 − k2 R2
Don’t cooperate 1 − k1 R1 0 − k1 R1 0
2 (k1+s)R1 0 (k1+s)R1 0

The payoff matrix analysis results of vendor layout

A B
A πa,πa πs,πs
B πs,πs πb,πb
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