The impacts of internal capital allocation efficiency on R&D investments: evidence from China

2020 ◽  
pp. 1-7
Author(s):  
Hai-Yun Ren ◽  
Ching-Chi Hsu ◽  
Gen-Fu Feng ◽  
Jing Jia ◽  
Wei-Che Tsai
Keyword(s):  
Capital Allocation ◽  
Allocation Efficiency ◽  
Internal Capital ◽  
Capital Allocation Efficiency

scholarly journals CEO Duality, Agency Costs, and Internal Capital Allocation Efficiency

2018 ◽  
Vol 30 (2) ◽  
pp. 473-493 ◽  
Author(s):  
Nihat Aktas ◽  
Panayiotis C. Andreou ◽  
Isabella Karasamani ◽  
Dennis Philip
Keyword(s):  
Agency Costs ◽  
Capital Allocation ◽  
Ceo Duality ◽  
Allocation Efficiency ◽  
Internal Capital ◽  
Capital Allocation Efficiency

Impact of capital enrichment on resource allocation efficiency in China’s manufacturing industry

2021 ◽  
pp. 1-17
Author(s):  
Lina Ma ◽  
Fengju Xu ◽  
Lihua Wang ◽  
Akther Taslima
Keyword(s):  
Resource Allocation ◽  
Manufacturing Industry ◽  
Evaluation Model ◽  
Development Trend ◽  
Inhibitory Effect ◽  
Capital Allocation ◽  
Curvilinear Relationship ◽  
Allocation Efficiency ◽  
Capital Allocation Efficiency ◽  
Resource Allocation Efficiency

Capital enrichment (CE) results from capital flows, which reflect the capital distribution among different regions and industries. This paper constructs the evaluation model of resource allocation efficiency from the perspective of capital and innovation resources. It expounds on CE’s theoretical mechanism by using the panel data from 2011 to 2018 for system GMM estimation. It finds that the manufacturing capital allocation efficiency (CAE) and innovation resource allocation efficiency (IRAE) show a volatile development trend. Both static and dynamic panel models show that there is a significant U-shaped curvilinear relationship between CE and CAE, CE and IRAE. CE’s inhibitory effect on CAE and IRAE decreases with the improvement of CE until it exceeds the critical value of 8.27 and 8.93. After that, its impact on CAE and IRAE changes from negative to positive.

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