Oleksandr Nazarenko

With the continuous improvement of China’s market economy and the intensification of global integration trends, the relationship between the supply and demand of China’s agricultural products has also undergone significant changes. From the previous short supply to the current oversupply, the sales of agricultural products have become a key factor restricting the development of the Chinese rural economy. Solving the problem of agricultural sales has become the internal driving force to promote the steady development of family farms, which is also the fundamental purpose of this paper. Therefore, this paper makes an empirical analysis of the factors influencing the choice of agricultural products’ sales channels among 170 family farms in Henan Province using a logistic regression model. The results show that selling agricultural products from family farms to consumers, enterprises, and large sales households are the main sales channels, accounting for 17.3%, 15.3%, and 15.2% respectively. The proportion of Internet sales ranks seventh among the eight channels, which has not been widely recognized. The regression results and assumptions are verified. The brand and certification of family farms’ agricultural products, business form of a farm, and understanding of the Internet have a significant impact on the choice of sales channels. According to the weight of influencing factors, the paper puts forward four suggestions for the selection and innovation in sales channels of family farms’ agricultural products.

Acknowledgment
This study is funded by The National Social Science Fund of China (grant no: 19BJ1Y144).

High-quality information support for modern high-tech enterprises in any country is of undeniable relevance. An open, accessible, and fair, transparent economy creates an atmosphere of trust in which people easily perceive transparency, fairness, and efficiency of economic management. The purpose of this study is to determine the impact of a transparent economy on the investment environment, innovation, competitive advantage, government regulation, and the formation of corporate social responsibility in the modern business environment on the example of high-tech enterprises in China. This study uses a multiple linear regression model to analyze the impact of a transparent economy on high-tech enterprises. The research sources included the CSMAR database, China’s stock market and accounting research, China’s economic and financial research database, CRSP, COMPUSTAT, and others, and financial statements of selected high-tech companies. Sustainable development, R&D and innovation, investor relations, social responsibility, and market competitiveness are identified as key aspects of the relationship between a transparent economy and high-tech enterprises. The study confirmed a positive correlation between a transparent economy and the efficiency of resource allocation of high-tech enterprises, the innovation capabilities of high-tech enterprises, the market competitiveness of high-tech enterprises, and the efficiency of state supervision of high-tech enterprises.