Lin Wang

Dr. Lin Wang


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

View All Publications
1 April 2017 in International Journal of Project Management
Verified
Journal Article
Open access
LWLin Wang
Lin Wang
Martin KuncMartin Kunc
Martin Kunc
SBSi-Jun Bai
Si-Jun Bai

9 June 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
LPLili Pan
Lili Pan
LWLin Wang
Lin Wang
QFQianqian Feng
Qianqian Feng
Aiming to identify the intellectual structure of risk management in foreign direct investment and its evolving trends, this paper introduces bibliometric analysis to systematically review the 1231 articles published between 1995 and 2022. Through the analysis of publication trends, influential indicators, cooperative networks, and citations, we draw the following important conclusions. From 1995 to 2021, the average annual growth rate of scientific production in the field reached 21.4%, with scholars from the United States and China contributing the most. Regarding the cooperation network, its structure is relatively dispersed, and the deep cooperation among a wide range of researchers has not yet been formed. As for research topics, the popularity of interest in environmental protection, carbon dioxide emissions, energy consumption, and climate change has increased significantly in recent years. Moreover, this paper points out that future research directions include new risks and challenges posed by the COVID-19 pandemic and the effects of climate risks on foreign direct investment. These results are helpful for scholars to systematically understand the current research status, research frontiers, and future trends of risk management in foreign direct investment.

25 December 2022 in Energies
Verified
Journal Article
Open access
PDF file
LWLin Wang
Lin Wang
YXYuping Xing
Yuping Xing
Because reliance on gas for electricity generation rises over time, the natural gas and electricity markets are highly connected. However, both of them are susceptible to various risk factors that endanger energy security. The intricate interactions among multiple risks and between the two markets render risk assessment more challenging than for individual markets. Taking a systematic perspective, this study first undertook a thorough analysis of the evolution mechanism that indicated the key risk factors and dual interactions, with real-world illustrative examples. Subsequently, a system dynamics model was constructed for understanding the causal feedback structures embedded in the operation of a coupled natural gas–electricity market in the face of risks. Quantitative experiments were conducted by using data from China’s Energy Statistical Yearbook, China’s Statistical Yearbook and other reliable sources to assess the effects of individual risks, depict the evolutionary behavior of coupled markets and compare the risk response strategies. The findings revealed the evolution of dominant risk factors and the aggregated effects of multiple risks in multiple markets, suggesting the need to comprehensively monitor dynamic risks. Moreover, risk factors can propagate from one market to another via interactions, yet it depends on multiple aspects such as the severity of the risk and the intensity of the interactions. Demand compression and emergency natural gas supply behave differently throughout the market’s recovery, necessitating a balance between short-term and long-term risk response strategies.


25 February 2022 in Journal of Systems Science and Information
Verified
Journal Article
Closed access
LPLili Pan
Lili Pan
QFQianqian Feng
Qianqian Feng
JLJianping Li
Jianping Li
LWLin Wang
Lin Wang

1 January 2022 in Complexity
Verified
Journal Article
Open access
PDF file
CLChao Li
Chao Li
LWLin Wang
Lin Wang
RLRundong Luo
Rundong Luo
GNGuangjie Ning
Guangjie Ning
PZPeiya Zhao
Peiya Zhao
XYXiaoning Yu
Xiaoning Yu
By empirically testing the scale and structure hypotheses of aging’s impacts on the financial market using Tobit, FRM, and Heckman selection models, this paper proves that the number and proportion of elderly family members change the structure of families’ financial assets, though without significant effects on their overall size. Specifically, aging increases the share of cash and deposits in families’ total financial assets and decreases both the quantity and percentage of investment in risky assets. One more family member aged sixty and over, the risky assets decline by 5, 500RMB and its share decreases by 8.8 percent. A Heckman two‐step model verifies the robustness of our results. The heterogeneity analysis reveals that aging plays different roles in different types of financial assets.