Accounting Information Quality, Financing Constraints, And Company Innovation Investment Efficiency By Big Data Analysis

This paper takes the listed companies in China from 2008 to 2017 as the research sample to study the relationship between accounting information quality (AIQ) and company innovation investment efficiency. The results show that AIQ is negatively correlated with both the underinvestment and overinvestment of corporate innovation. Further, AIQ can alleviate financing constraints and reduce the lack of innovation investment; At the same time, AIQ can also alleviate the agency conflict and reduce the excessive investment in innovation. Finally, AIQ can promote the innovation investment efficiency of companies with low information environment.

Does the Carbon Emissions Trading Policy Increase Corporate Tax Avoidance? Evidence from China

Based on the natural experiment of carbon emissions trading pilots in China, this paper investigates the effect of environmental regulation on corporate tax avoidance. The results show that: 1) Market-incentivized environmental regulation significantly increase the level of corporate tax avoidance. 2) Heterogeneity analysis shows that the effect is more obvious on the non-state-owned firms, firms with severe financing constraints, and firms in highly competitive industries. 3) We find that the reduction of cash flow is the channel for environmental regulation to affect corporate tax avoidance. 4) Further analysis shows that government subsidies can alleviate the enhancement of tax avoidance by environmental regulation. The more government subsidies a company receives, the less tax avoidance it has.

Analyzing Relationship between Financing Constraints, Entrepreneurship, and Agricultural Company Using AI-Based Decision Support System

Decision support technology has become a key link in modern information strategy. With the deepening of research, introduced expert systems have been introduced into decision support systems. In this way, decision support systems gradually become more uncertain and capable of handling uncertainties. The development direction of decision support system is typically based on qualitative analysis. Intelligent decision support system is a system that combines decision support system with artificial intelligence technology. This study attempts to assess in an innovative way the relationship between financing constraints, entrepreneurship, and agricultural firms. The most recently proposed intelligent decision support system, AI-assisted Intelligent Decision Support System (AIIDSS), is used to predict the impact of entrepreneurship on corporate performance. The paper constructs an entrepreneurship index from five aspects: innovation, competitiveness, human capital accumulation, management capability, and adventurous spirit. The method intends to construct the Kaplan–Zingales (KZ) index to evaluate financing constraints. Through an empirical study, it was found that entrepreneurship can significantly promote the growth of listed agricultural companies. The study can drastically reduce the difficulties involved in financing constraints normally faced by agricultural companies. The impact paths include increasing agricultural company operating cash flow, improving stock liquidity, and increasing debt financing. The research suggests that if listed agricultural companies are to improve financing constraints, entrepreneurs must improve their own competitiveness and management capabilities. This will help in reasonably controlling research and development investment besides the impulse to take risks. As the growth of an enterprise relies on considering the determinants of financing constraints, this research provides an effective investigation technique. Moreover, the findings of the study will help entrepreneurs, particularly agricultural companies, to bear most of the risks and to avail most of the opportunities.

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.

The Study of Comprehensive Risk Management and Corporate Finance Constraints

The reasons why companies implement comprehensive risk management and the benefits it can bring to companies have been a subject of academic interest. However, there is still room for further exploration of this topic for the following three reasons: firstly, most of the existing literature is focused on the study of corporate performance and value, and there is less research on the level of corporate financing constraints; secondly, a few papers have initially explored the relationship between the implementation of comprehensive risk management and corporate financing costs, but the research on the intrinsic impact mechanism remains at the theoretical level and lacks empirical testing Finally, comprehensive risk management has been a hot topic in recent years, but most of the literature has focused on developed countries such as Europe and the US, and domestic research is still very limited. Therefore, this paper attempts to empirically test how the implementation of comprehensive risk management affects corporate financing constraints, in the hope that it can complement the existing literature.

Discretionary Effort on Green Technology Innovation: How Chinese Enterprises Act when Facing Financing Constraints

Firm’s effort on Green technology innovation (hereafter, called G-innovation) is affected by financing constraints, and firm will make a discretionary choice according to its own situation, to achieve the maximization of self-interests. Based on the data of Chinese micro enterprises, firstly, we empirically analyze firms’ decision-making towards G-innovation when faced with financing constraints. It supports the view that financing constraints can hinder enterprise technological innovation. And we also make an explanation that the social benefits of green technology innovation are greater than personal benefits, which makes enterprises tend to reduce green technology innovation when facing financing constraints. Then we examine firms’ heterogonous behaviors under different internal attributes and external environments. The results reveal that: First, firms are reluctant to pay more efforts to G-innovation when faced with increased financing constraints. Second, firms with different attributes exhibit heterogeneous G-innovation. Political connections will change firms’ willingness to innovate, while the structure of property rights and the pollution degree will not. Third, firms under different external environment also exhibit heterogeneous G-innovation. When economic policy uncertainty increases, firms’ willingness to innovate weakens. The development of shadow banks fail to improve firm’s willingness to innovate.

Corporate Financialization, Financing Constraints, and Environmental Investment

This paper took non-financial listed companies on A-shares from 2014 to 2018 as samples to empirically test the relationship between corporate financialization, financing constraints, and environmental investment. The empirical results showed that the degree of corporate financialization is negatively related to environmental investment, and the negative relationship between long-term financial assets and environmental investment is more significant. Financialization has a “crowding out” effect on environmental investment when the firm is a non-state enterprise or a small-scale enterprise. Financialization has a “reservoir” effect on environmental investment when it is subject to less financing constraints. Further analysis revealed that both long-term and short-term financial assets have an inhibiting effect on environmental investment when environmental regulations are stringent. This paper provides a theoretical reference for companies to make investment decisions on financial assets and to improve their ability on environmental investment and green sustainability.