This study estimates the impact of third-party online payment systems on trade, export, import, and Internet retailing in China. Also, the study examines the financial development mechanism via which third-party payment affects trade, export, import, and Internet retailing in China. By employing a sample of 31 provinces in China covering 2011 to 2018, the findings indicate that, third-party payment drives China’s trade (0.43%), export (0.42%), import (0.47%), and Internet retailing (0.24%). The study also finds that third-party payment complements financial development to positively affect trade, export, import, and Internet retailing in China. The study recommends policymakers promote third-party payment development in China to boost trade, export, import, and Internet retailing.

Against the backdrop of deepening globalization, the widespread adoption and application of digital technologies are reshaping global trade patterns and providing new momentum for low-carbon economic cooperation. Based on panel data from 10 ASEAN countries for the period 2010–2020, this study investigates the role of digital trade in the trade-environment nexus. The findings reveal an inverted U-shaped relationship between digital trade and carbon emissions, which is explained through the scale effect, structural effect, and technological effect. Furthermore, the study examines the influence of economic development levels and industrial structures on this relationship, identifying significant heterogeneity. Countries with higher levels of economic development and more advanced industrial structures exhibit a more pronounced inverted U-shaped relationship between digital trade and carbon emissions.

We offer an extensive analysis of the significance of information within the realm of Gaussian quadratic economies. We build upon the seminal papers of Morris and Shin (2002, 2007) and consider a signal game of incomplete information. Particularly, we question the suitability of partial transparency portrayed by fragmented information in addition to the private signal in terms of welfare effects. We can summarize our findings in two main points. First, fragmented information, in conjunction with a private signal, can reduce the reliance on public signals. Second, a conflicting effect arises between increasing full disclosure and increasing the precision of fragmented (semi-public) information when examining different complex scenarios, involving for example endogenous private information or imperfect correlated signals. For a critical threshold, an optimal communication strategy designed by fragmented information should be implemented whenever that kind of information is acquired at a high precision.

As governments worldwide grapple with the urgent need to mitigate climate change, understanding the nuanced relationship between fiscal targets and environmental innovation is crucial for crafting effective policy frameworks. Green technological advancement stands as the cornerstone of enterprise competitiveness, driving improvements in both economic prosperity and environmental sustainability. Government fiscal policies play a pivotal role in shaping the landscape of green transformation within enterprises, particularly through the establishment of fiscal revenue targets. Drawing upon data from prefecture-level cities and enterprise records, this study employs empirical analysis utilizing a fixed effects model and instrumental variable method. Our findings underscore the significant impact of fiscal revenue target setting on the trajectory of green technological advancement within enterprises. Specifically, the imposition of fiscal revenue growth targets exerts a dampening effect on the propensity for green technological advancement among enterprises. Notably, this disincentive is particularly pronounced among state-owned enterprises, as well as those with lower and moderate returns on capital, and those characterized by labor-intensive operations. Furthermore, our research delves into the underlying mechanisms of this inhibitory effect. We ascertain that the pressure associated with fiscal revenue growth targets hampers corporate green technological advancement by amplifying tax burdens and exacerbating financing constraints. In light of these findings, our study not only contributes to the theoretical understanding of the interplay between government fiscal policies and corporate innovation but also provides empirical evidence to inform strategies aimed at reconciling the imperative of fiscal revenue growth with the imperative of fostering green technological advancement within enterprises. In the broader context of governmental efforts to address climate change, this research underscores the importance of aligning fiscal policies with environmental objectives.

The development of digital economy is becoming an important path to promote the kinetic energy of China's tax revenue development. Based on the panel data from 2011 to 2018, this paper uses Gini coefficient to analyze the regional differences of China's digital economy, and uses fixed effect model, spatial Durbin model, multi-period double difference model and other empirical methods to examine the tax effects of digital economy development. The results show that the regional disparity is the main reason for the regional disparity of digital economy development in China. The development of digital economy directly increases the tax amount of local digital industry, and at the same time it also radiates and drives the increase of local total tax revenue; The tax effect of digital economy has a negative spatial spillover, showing a "siphon effect" to neighboring areas; Mechanism analysis shows that the development of digital economy mainly promotes the increase of local tax revenue through growth effect.