Pengfei Guo

Prof. Pengfei Guo

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 July 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
XHXinyun Hu
Xinyun Hu
PGPengfei Guo
Pengfei Guo

12 January 2024 in Heliyon
Verified
Journal Article
Open access
XHXinyun Hu
Xinyun Hu
YJYanling Jiang
Yanling Jiang
PGPengfei Guo
Pengfei Guo
MLMingming Li
Mingming Li
Based on the panel data of 280 cities in China from 2011 to 2019, this paper examines the effects of big data policies on the digital economy development by using the national big data comprehensive pilot zones as a quasi-natural experiment. The findings of this paper are as follows. First, the big data policy significantly promotes China's digital economy development. Second, cities at a higher administrative level receive higher policy benefits than cities at a lower administrative level. Third, technological innovation and human capital are important ways for the big data policy to improve the development of the digital economy. The conclusions of this paper not only help to assess the effectiveness of big data policies and ensure the efficacy of policy implementation, but also provide policy support for local governments to fully explore the value of data elements and grasp the new opportunities for the digital economy development with the help of the pilot zones.

12 November 2022 in Economic Research-Ekonomska Istraživanja
Verified
Journal Article
Open access
PGPengfei Guo
Pengfei Guo
XHXinyun Hu
Xinyun Hu
SZShikuan Zhao
Shikuan Zhao
MLMingming Li
Mingming Li
To verify the impact mechanism between infrastructure capital investment and regional economic growth in China, this study first estimates production capital stocks of the infrastructure by Perpetual Inventory Method (PIM) based on a balanced panel dataset for 31 Chinese provinces, autonomous regions and municipalities covering 1993–2017, then analyses the important mediating role of regional innovation capacity in the relationship between infrastructure capital investment and regional economic growth in China. The empirical results indicate that infrastructure capital investment can effectively promote economic growth in China. Furthermore, through analysing the mediating impact mechanism, the infrastructure capital investment can indirectly affect regional economic growth through the regional innovation capacity. When fully considering the potential heterogeneity, the mediating effect of developed regions is more significant than that of underdeveloped regions, and such a mediating effect is increasing with deepening industrialization. Therefore, a harmonious relationship between infrastructure capital investment and economic growth can be achieved if policymakers attempt to arouse the positive mediating role of regional innovation capacity when formulating relevant policies.

30 December 2024 in Humanities and Social Sciences Communications
Verified
Journal Article
Open access
PDF file
PGPengfei Guo
Pengfei Guo
HCHang Chen
Hang Chen
XHXinyun Hu
Xinyun Hu
Based on the sample data of 63 higher education institutions in Chongqing from 2013 to 2022, this paper adopts the entropy value method and the coupling coordination degree evaluation model to measure the coupling coordination degree and coupling mechanism between higher education and industrial economy in Chongqing. The results of the study found that: (1) the level of higher education in Chongqing shows a trend of rapid growth followed by basic stability and slight decline during the sample period, with the public undergraduate > the public specialized > the private undergraduate > the private specialized, and the central urban area > the new area of the city proper > the two clusters. Meanwhile, the level of industrial economy and its three subsystems in Chongqing also showed an upward trend, in which industrial efficiency > industrial scale > industrial structure. (2) The coupling coordination degree between higher education and industrial economy in Chongqing is at a medium level, with a phenomenon of high constant high and low constant low. It is characterized by an olive-shaped structure with fewer areas at the two ends, more areas in the middle for the quantity distribution, and one area higher than two clusters for the geospatial distribution. (3) There is a mutual promoting effect between higher education and industrial economy in Chongqing. The development of higher education, industrial economy, industrial efficiency, industrial scale, and industrial structure can improve the coupling coordination degree. Except for the industrial scale, other variables have a positive moderating effect on the coupling coordination degree. In addition, the heterogeneity analysis shows that the positive effect of higher education on the coupling coordination degree is higher in private institutions, undergraduate institutions, two clusters, and new area of the city proper.