Analysis on the Relationship between Financing Constraints and Research and Development from the Perspective of the Location of Top Management Network

Taking listed Chinese companies during 2009–2019 as objects, this paper constructs a multivariate discriminant model to measure the degrees of multiple financing constraints and establishes empirical models to analyze the non-linear relationship between the financing constraints and research and development (R&D) investment. Further, the author investigated how the top management network (TMN) location acts on the relationship between financing constraints and R&D investment. The research provides a robust evidence to an inverted U-shaped relationship between the degrees of financing constraints and corporate R&D investment: appropriate financing constraints promote corporate R&D investment; once passing a turning point, excess financing constraints would suppress corporate R&D investment. Besides, it was learned that TMN location positively moderates the financing constraints and R&D investment. In addition, TMN location plays a more obvious regulating role in non-state-owned enterprises (non-SOEs) than in SOEs. The research clarifies the relationship between financing constraints and R&D investment, as well as the moderating role of TMN location. Empirical evidence was provided to help the government reduce credit discrimination and enterprises to widen financing channels and improve innovation capability.

Difference in Housing Finance Usage and Its Impact on Housing Wealth Inequality in Urban China

With the increasing importance of financial loans in home purchases in urban China, the role of housing loans in the accumulation of housing wealth needs to be unraveled. Using the data from the 2017 China Household Finance Survey (CHFS), this study investigates the use of housing loans and their impact on housing wealth inequality. It has been found that people with higher socioeconomic status and institutional advantages benefit more from housing provident fund loans and are more likely to fully invoke different financing channels to accumulate housing wealth. On the contrary, disadvantaged groups have to resort to costly market-based mortgages to finance their home purchases. This leads them to fall further behind in housing wealth accumulation. The spatial stratification of housing wealth accompanying the urban hierarchy was also observed and found to be closely linked to the type of housing loans. In this increasingly financialized era, relying on financial instruments in the process of household asset accumulation may further amplify the existing wealth inequality among social groups.

Supply and Demand Matching of Financial Support Policies for Private Enterprises Based on Text Measurement

The degree of matching between supply and demand for financial support policies is a key factor for policy effectiveness. In this paper, we use policy text computing method that integrates topic mining, text classification, and training set predictions to study the supply and demand matching of China’s financial support policies for private enterprises. We find that supply and demand match for policies on diversified financing channels. However, there is mismatch in financial service facilitation policies and local subsidy policies. Our research implies that China’s development of a multiple-layer financial market has promoted the diversification of financing channels, which has improved the financing conditions for private enterprises. However, financial service network is still not convenient to facilitate private enterprises.

An Empirical Study on the Influence of Asset-backed Securitization on the Profitability and Liquidity of Commercial Banks of China

This paper uses the panel data of Chinese commercial banks to analyze the impact of credit asset-backed securitization on the profitability and liquidity of Chinese commercial banks. The results show that there is a significant negative correlation between asset-backed securitization and the profitability of commercial banks in China. The main reason for this phenomenon is that China’s credit asset-backed securitization is still in the pilot stage. The main purpose of asset-backed securitization is not to improve the level of profitability, but to broaden the financing channels, in addition, the high transaction cost of asset-backed securitization is also an important reason. However, there is no significant correlation between asset-backed securitization and the liquidity of commercial banks in China. The reason is that although asset-backed securitization can make the future income of banks cash in advance, considering the efficiency of capital use and the rationality of assets and liabilities, banks will use these funds to make new loans, which reduces the liquidity of banks.

The impact of financial repression on manufacturing upgrade based on fractional Fourier transform and probability

This paper proposes a method combining fractional Fourier transform (FRFT) and a high peak-to-average power ratio suppression algorithm. Calculations show that as the order of the FRFT decreases, the peak-to-average power ratio of the signal gradually decreases; combined with the suppression algorithm can further reduce the peak-to-average power ratio of the system and solve the problem of the suppression algorithm affecting system performance. At the same time, this paper uses the 2012 World Bank survey data of Chinese manufacturing enterprises to study the influence of financial repression on the selection of financing channels of manufacturing enterprises. The research results show that financial repression has a significant impact on the choice of financing channels for manufacturing enterprises, which greatly increases the proportion of informal financial financing in the operating capital of enterprises and reduces the proportion of formal financial financing. Financial repression has led to an increase in the cost of formal financial financing, making enterprises choose informal financial channels for financing. Among them, large enterprises tend to choose commercial credit in informal finance, while small and medium-sized enterprises choose private credit It is possible to choose two financing channels, which reflects the ‘scale discrimination’ characteristics of financial repression.

Financing Strategy and Carbon Emission Abatement in a Supply Chain considering Retailers’ Competition

This paper investigates the issues of financing channels (bank credit financing, trade credit financing, and dual-channel financing) and carbon emission abatement in a supply chain consisting of one capital-constrained manufacturer and two capital-constrained retailers. Compared with bank credit, we find that every member can make more profit under trade credit when only one financing channel is available. When both bank credit and trade credit are available, the retailers’ financing strategy highly depends on the interest rates charged by the creditors. In addition, we also examine the impact of financing channels on emission abatement. It shows that the manufacturer reduces more carbon emissions under trade credit. Interestingly, the emission abatement has nothing to do with trade credit interest rate when retailers only adopt trade credit, whereas it is closely related to trade credit interest rate under dual-channel financing.

Digitization in the Market for Entrepreneurial Finance: Innovative Business Models and New Financing Channels

Digitization creates new financial channels that complement traditional intermediaries, but may raise concerns over fraud, cybersecurity, or bubbles. Artificial intelligence and machine learning change the way in which traditional investors work. This special issue focuses on economic, cultural, and regulatory determinants of fintech development, and on the new forms of information production and processing engendered by digital entrepreneurial finance. We provide a general overview of digitization in the market for entrepreneurial finance, illustrate how the different articles in the special issue contribute to advance our knowledge, and identify promising avenues for research.

Has Digital Financial Inclusion Narrowed the Urban-Rural Income Gap: The Role of Entrepreneurship in China

The combination of digital technology and finance has brought about a new development model for financial inclusion. What impact will it have on the current imbalance in the distribution of financial resources and the urban-rural income gap in China? To answer this question, this paper uses relevant data from 2014–2018 to study the impact of digital inclusive finance on the urban-rural income gap from the theory of financial exclusion, and analyzes the transmission of digital inclusive finance through alleviating financial exclusion, widening financing channels and helping residents with entrepreneurial spirit to start their own businesses, thus increasing jobs, raising the income of rural residents and reducing the urban-rural income gap. The conclusions are as follows: (1) digital inclusive finance can significantly converge the urban-rural income gap; (2) among the dimensions of digital inclusive finance, only the breadth of coverage can significantly reduce the urban-rural income gap, while the effects of depth of use and digitalization are not significant; (3) digital inclusive finance can alleviate the urban-rural income gap through the transmission mechanism of promoting residents’ entrepreneurship; (4) the worse the regional economic development and education, the better the effect of digital inclusive finance on the urban-rural income gap. This paper combines the above results to propose corresponding policy recommendations.

The Role of Green Finance in Community Renewable Energy Projects of main Region and Taiwan

In order to achieve the goal of "non-nuclear homeland and realize the policy target that renewable energy accounts for 20% of power generation, the Taiwan government has actively promoted the integration of energy generation. Many small and medium-sized enterprises or start-up companies are faced with the challenge of financing their business expansion. This paper adopted document analysis method to seek more diversified financing channels compared with traditional ways of financing and lending from financial institutions, the combination of fintech and the power of the masses, such as crowdfunding, has become one of the emerging financial instruments for the development of green energy industry. Finally, the empirical result is compared main region about the community renewable energy projects and realized how to obtain renewable energy resources through new financing source. The study will be providing related reference to decision-making of country which plan to develop renewable energy projects.

Optimal Operation and Financing Decisions in Green Supply Chain with a Capital-Constrained Manufacturer

Capital constraint, immensely existing in practice, became major stressors for manufacturers during the green research and development (R & D) triggered by managers integrating green concept into their business models. Considering the initial capital of a capital-constrained manufacturer, this paper formulates a Stackelberg game model comprising a manufacturer and a retailer, to discuss the optimal operation and financing decisions under the bank financing channel and trade credit financing channel, to detect the relationship between the manufacturer’s initial capital and green R & D investment, and to find which financing channel is better by comparing the two financing channels when the same initial capital is set. According to the above analysis, the results find that the capital-constrained manufacturer prefers financing only when meeting certain conditions. Furthermore, financing might be detrimental to the manufacturer but always beneficial to the retailer. Especially, under trade credit financing channel, the profit improvement of the retailer is higher than the manufacturer in the same financing channel, which suggests that the retailer has strong internal motivation to cooperate with the manufacturer from the perspective of financing.