Jianfeng Guo

Jianfeng Guo

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Jianfeng Guo has a total of 14 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Can the Carbon Emissions Trading Pilot Policy Improve the Ecological Well-Being Performance of Cities in China?

    by Jianfeng Guo, Xiaotong Ou, Yan Li, Kecheng Liu

    Adhering to ecological priorities and promoting environmental regulations is essential for improving ecological well-being performance (EWP); conversely, EWP is a crucial measure of social and economic sustainability. From the perspective of high-quality development, we see China’s cities’ adoption of the carbon emissions trading pilot (CETP) policy as a quasi-natural experiment, and we use the difference-in-differences (DID) approach to analyze how market-based carbon credits affect the urban EWP and its action mechanism. The findings of the empirical study show that: (1) The implementation of CETP can effectively improve the quality of urban development, with an increase of 29.1% in the EWP value, effectively contributing to the realization of the goal of high-quality development; (2) the urban EWP levels in China are higher in the east, lower in the west and lowest in the middle, but they all show a fluctuating upward trend; (3) according to the heterogeneity study, the implementation of CETP has a scale effect and significant urban locational differences, and its impact on EWP of cities is greater in “advanced cities” and central region cities; (4) the implementation of CETP can advance industrial structure upgrading, thereby promoting the EWP level, but the mediating effect of technological innovation is not significant. The possible innovations in this paper are as follows: (1) It broadens the existing research system on the effectiveness of CETP policies. (2) It reconstructs the index system of EWP from the perspective of high-quality development so that its measurement results can reflect the quality of urban development more comprehensively. (3) The research samples of CETP and EWP are enriched by using prefectural-level data.


  • Probability rough set and portfolio optimization integrated three-way predication decisions approach to stock price

    by Juncheng Bai, Jianfeng Guo, Bingzhen Sun, Yuqi Guo, Youwei Chen, Xia Xiao


  • Open Access

    Exploring the Mechanism of the Impact of Green Finance and Digital Economy on China’s Green Total Factor Productivity

    by Jianfeng Guo, Kai Zhang, Kecheng Liu

    In the context of the “double cycle,” promoting the development of a green economy is an important goal for China’s high-quality economic development in the digital age. This paper uses data from 30 provinces (municipalities and autonomous regions) in China during the 2006–2019 period using the Compiled Green Finance Index (GF) and Digital Economy Index (DE). The interrelationship between green finance, digital economy and green total factor productivity (GTFP) is empirically tested by conducting multiple regressions on panel data from 2006–2019 to perform an empirical analysis. Based on this, further analysis was performed with the threshold model. This study found that green finance and digital economy can contribute well to green total factor productivity, but the combination of the two does not have a good effect on green total factor productivity. Further study found that the green finance and digital economy’s contribution to green total factor productivity is mainly derived from technological progress. The regression results based on the panel threshold model show that the more underdeveloped the digital economy is in certain regions, the stronger the role of green finance in promoting efficiency improvement. Therefore, policymakers should formulate differentiated green financial policies according to the level of development of the digital economy and give play to the role of green finance and the digital economy in promoting green total factor productivity.