Abstract The article combines the two main development lines of digital inclusive finance and high-quality economic development in the new era, with 41 cities in the Yangtze River Delta region as the research object. The digital inclusive finance development index is used to measure the level of digital inclusive finance development in cities, and the entropy weight TOPSIS method is used to measure the level of high-quality economic development in cities. A panel model is used to analyze the impact of digital inclusive finance on high-quality economic development. The conclusion is that the development level of digital inclusive finance is on the rise in all cities, but the regional development imbalance is also very obvious. Digital inclusive development has a positive promoting effect on the high-quality economic development of the Yangtze River Delta region. In addition, there is regional heterogeneity in the promoting effect of digital inclusive finance on high-quality economic development. With the improvement of urban level in the Yangtze River Delta region, the promoting effect of digital inclusive finance on high-quality economic development continues to improve. To this end, relevant policy recommendations are proposed. Firstly, to accelerate the development of digital finance and promote highquality economic development. Secondly, to increase government investment and strengthen new infrastructure construction. Thirdly, to focus on information technology construction and enhance the level of digital technology. Fourthly, to deepen regional coordinated development and improve the quality of economic development.

Abstract Nowadays, oil is not only a necessary energy for industrial development but also an important strategic resource for the international economy. Previously, many factors led to a sharp rise in international crude oil prices. Therefore, it is of great significance to explore the influence mechanism between oil price fluctuations and the macroeconomy. In this paper, the VAR model is used to quantitatively analyze the dynamic relationship between oil price, China’s GDP, China’s CPI, and oil import volume, and the orthogonal impulse response analysis and Granger causality test are carried out. The results show that China’s crude oil import volume is the largest factor in GDP; that is, the early changes in China’s crude oil imports can effectively explain the changes in China’s GDP. China’s CPI and GDP show a short-term inverse response, and the change in the data is more dependent on the data of the previous quarter. Given the above problems, this paper proposes that China should attach importance to the long-term stability of oil exploitation, reserves, and the oil market and maintain the stability of the oil trade market by adjusting macroeconomic and gasoline prices when necessary.