Jinyu Chen

Dr. Jinyu Chen


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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27 September 2023 in Business Strategy and the Environment
Verified
Journal Article
Closed access
JCJinyu Chen
Jinyu Chen
DZDandan Zhu
Dandan Zhu
SDShijie Ding
Shijie Ding
JQJingxiao Qu
Jingxiao Qu

30 October 2022 in Business Strategy and the Environment
Verified
Journal Article
Closed access
JCJinyu Chen
Jinyu Chen
YGYuan Geng
Yuan Geng
RLRan Liu
Ran Liu

6 July 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
YGYuan Geng
Yuan Geng
JCJinyu Chen
Jinyu Chen
TLTianqi Liu
Tianqi Liu
DTDali Tao
Dali Tao

13 July 2022 in Business Strategy and the Environment
Verified
Journal Article
Closed access
PDF file
XZXuehong Zhu
Xuehong Zhu
RLRan Liu
Ran Liu
JCJinyu Chen
Jinyu Chen

6 December 2019 in Emerging Markets Finance and Trade
Verified
Journal Article
Closed access
JCJinyu Chen
Jinyu Chen
XZXuehong Zhu
Xuehong Zhu
Based on a structural vector autoregression (SVAR) model, we investigate the impacts of different types of oil price shocks on industrial producer price index (PPI) in China for the period from 1996:10 to 2017:6. The results show that an increase in oil prices caused by oil supply shocks has negative impacts on China’s industrial PPI, while industrial PPI and an increase in oil prices caused by aggregate demand and oil-specific demand shocks move in the same direction. There are significant inter-industry differences in the effect of oil price shocks on industrial PPI. Energy intensity is an important factor affecting the inter-industry differences in oil supply and oil-specific demand shocks, while the inter-industry differences in aggregate demand shocks are mainly affected by export dependence. A variance decomposition analysis reveals that the increase in oil prices driven by aggregate demand shocks has the most important influence on the PPIs in most sub-industries.

26 November 2024 in International Journal of Operations & Production Management
Verified
Journal Article
Closed access
QDQian Ding
Qian Ding
JCJinyu Chen
Jinyu Chen
Purpose: Customer resource allocation efficiency (RAE) refers to the ability of customers to use, allocate and manage their available resource inputs to produce valuable outputs. This study draws on organizational entrainment theory (OET) to examine how the implementation of supplier digitalization affects customer RAE through supply chain entrainment.Design/methodology/approach: Based on supplier and customer data disclosed by Chinese A-share listed firms from 2009 to 2022, this study uses fixed effects panel data models to empirically examine the impact of supplier digitalization on customer RAE and the mechanistic role of supply chain entrainment.Findings: The results show that supplier digitalization significantly increases customer RAE. It improves RAE by influencing the three dimensions of supply chain entrainment (the bullwhip effect, inventory management coordination and risk management coordination).Practical implications: This study provides important insights into how managers can adapt the external digital environments and maintain synchronous operations with their supply partners. Our findings demonstrate how managers can fully leverage the advantages of digitalization of their suppliers to improve their own RAE through supply chain entrainment strategies.Originality/value: This study introduces the concept of supply chain entrainment to reveal how firms optimize their own resource allocation strategies and achieve efficient operations. Our research enriches the understanding of supply chain governance in the digital age and contributes to the literature on supply chain digitalization.