scholarly journals Financing Efficiency Evaluation and Influencing Factors of Hydrogen Energy Listed Enterprises in China

Energies ◽  
2022 ◽  
Vol 15 (1) ◽  
pp. 281
Author(s):  
Yuanying Chi ◽  
Meng Xiao ◽  
Yuexia Pang ◽  
Menghan Yang ◽  
Yuhao Zheng

Existing studies of financing efficiency concentrate on capital structure and a single external environment or internal management characteristic. Few of the studies include the internal and external financing environments at the same time for hydrogen energy industry financing efficiency. This paper used the data envelopment analysis (DEA) model and the Malmquist index to measure the financing efficiency of 70 hydrogen energy listed enterprises in China from 2014 to 2020 from both static and dynamic perspectives. Then, a tobit model was constructed to explore the influence of external environment and internal factors on the financing efficiency. The contributions of this paper are studying the internal and external financing environments, and integrating financing cost efficiency and capital allocation efficiency into the financing efficiency of hydrogen energy enterprises. The results show that, firstly, the financing efficiency of China’s hydrogen energy listed enterprises showed an upward trend during the years 2014–2020. Secondly, China’s hydrogen energy enterprises mainly gather in the eastern coastal areas, and their financing efficiency is more than that in western areas. Thirdly, the regional economic development level, enterprise scale, financing structure, capital utilization efficiency and profitability have significant effects on the financing efficiency. These results can promote the achievement of “carbon neutrality” in China.

2021 ◽  
pp. 1-17
Author(s):  
Lina Ma ◽  
Fengju Xu ◽  
Lihua Wang ◽  
Akther Taslima

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.


2018 ◽  
Vol 10 (9) ◽  
pp. 3045 ◽  
Author(s):  
Jianjun Yu ◽  
Dan Zhu

In the supply chain financing (SCF) system composed of a capital-constrained retailer, a supplier and a commercial bank, we design two different limited financing modes (internal financing and external financing) based on the retailer’s collateral assets. A newsvendor-like retailer has a single opportunity to order goods from a supplier to satisfy future uncertain demand. In the presence of bankruptcy risk for the retailer, we model their strategic interaction as a Stackelberg game with the supplier as the leader and analyze the optimal decisions for each participant. Regardless of which financing mode is chosen, the capital-constrained retailer orders fewer goods if the financing cost is relatively high. In addition, when the market demand obeys the uniform distribution, if the retailer possesses more collateral assets, he will enjoy a lower loan interest rate and increase order quantity gradually. Moreover, compared with the internal financing mode, each participant obtains the larger expected profits under the external financing mode.


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