Haoqiang Yuan

Prof. Dr. Haoqiang Yuan

School of law, Southeast University, Nanjing, Jiangsu, China

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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24 September 2024 in Sustainability
Verified
Journal Article
Open access
PDF file
HYHaoqiang Yuan
Haoqiang Yuan
栾栾栾海燕 栾
栾海燕 栾
XWXi Wang
Xi Wang
Corporate green technology innovation is an important driver to promote the green transformation of the manufacturing industry 4.0 and an important engine to achieve China’s carbon peak, carbon neutrality, and high-quality economic development. Based on the theory of informal environmental regulation of social systems, this study empirically analyzes the impact of ESG rating events on corporate green technology innovation by constructing a multi-period DID model using panel data of Chinese listed companies from 2010 to 2022 as the research sample. The findings suggest that ESG rating events and ESG scores can stimulate corporate green technology innovation. ESG rating uncertainty can inhibit corporate green technology innovation. The mediation effect analysis shows that ESG rating events can stimulate firms’ green technology innovation by reducing financing constraints, increasing the degree of corporate internal control, and increasing R&D investment. In addition, heterogeneity analyses indicate that ESG rating events have a better stimulating effect on the quantity of innovation of non-state-owned enterprises than state-owned enterprises, while the stimulating effect on the quality of innovation of non-state-owned enterprises is inferior to that of state-owned enterprises. Moreover, the innovation stimulation effect of ESG rating events shows a trend of east-high and west-low in geographical distribution. Therefore, the government should accelerate the construction of the ESG rating system, promote the degree of convergence with international standards, and improve the level of enterprises’ utilization of digital technology while paying attention to informal environmental regulation.

29 April 2024 in Chemical Engineering Science
Verified
Journal Article
Closed access
JZJun Zhang
Jun Zhang
BZBojin Zhu
Bojin Zhu
HYHaoqiang Yuan
Haoqiang Yuan
HPHui Peng
Hui Peng
JZJie Zhong
Jie Zhong
ZLZhen Li
Zhen Li

25 September 2020 in BioResources
Verified
Journal Article
Closed access
DZDongliang Zhao
Dongliang Zhao
HYHaibiao Yu
Haibiao Yu
XBXiuchun Bao
Xiuchun Bao
JLJinwei Liu
Jinwei Liu
HYHaoqiang Yuan
Haoqiang Yuan
ZXZhenhua Xue
Zhenhua Xue
Poplar and pine wood were extracted with water, 1% NaOH (wt%) solution, and benzene:ethanol solution (V1 : V2, 2 : 1) to investigate the governing factors and mechanism by which extractives affect wood structure and mechanical properties. The structure, pore distribution, crystal structure, and mechanical properties of samples were analyzed by Fourier transform infrared spectroscopy (FTIR), adsorption of N2 gas, X-ray diffraction (XRD), and mechanical testing, respectively. The results demonstrated that cellulose, hemicellulose, and lignin were degraded to some extent in the course of the dissolution of the extractives. This degradation had a great influence on the structure and quantity of pores. The extraction treatment did not change the crystallization type of the wood, but it increased the crystallinity of the wood, and the length and width of the crystallization area changed. In addition, the mechanical properties of wood were changed when the content of the extractives was reduced.

3 September 2025 in Sustainability
Verified
Journal Article
Open access
PDF file
HYHaoqiang Yuan
Haoqiang Yuan
KDKai Du
Kai Du
The escalating frequency of natural disasters and political conflicts has heightened focus on industrial supply chain resilience and security, making corporate supply chain resilience enhancement a critical global concern. Data, as a novel production factor, presents an effective pathway to fortify supply chain resilience. This paper investigates data factor marketisation by constructing a theoretical framework linking it with manufacturing enterprise supply chain resilience. Using China’s Big Data Comprehensive Experimental Zone establishment as a quasi-natural experiment, we analyzed data from Chinese A-share listed manufacturing firms spanning 2003–2023 to empirically validate our theoretical analysis. Our findings reveal that data factor marketisation significantly enhances manufacturing enterprise supply chain resilience, as confirmed using rigorous robustness checks. Mechanism analysis demonstrates that data factor marketisation improves resilience by reducing information asymmetries, boosting management efficiency, mitigating supply chain reliance, and enhancing supply chain financing. Heterogeneity analysis indicates stronger positive impacts in non-state-owned enterprises, smaller firms, companies with advanced data capabilities, non-digital-intensive businesses, enterprises with substantial supply chain funding needs, and those in regions with strong rule of law. Further analysis shows that improved employment, financing, innovation, and communication environments amplify the positive relationship between data factor marketisation and supply chain resilience. This study provides crucial insights for policy makers seeking to leverage data marketisation for industrial resilience enhancement and offers strategic guidance for enterprises navigating an increasingly uncertain global supply chain environment.