Qiong Shen

Prof. Qiong Shen

Sichuan Agricultural University
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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29 May 2023 in Humanities and Social Sciences Communications
Verified
Journal Article
Open access
PDF file
Xingwei LiXingwei Li
Xingwei Li
JDJiachi Dai
Jiachi Dai
XZXiaowen Zhu
Xiaowen Zhu
JLJingru Li
Jingru Li
JHJinrong He
Jinrong He
Qiong ShenQiong Shen
Qiong Shen
The green development behavior of construction enterprises is an environmental behavior that contributes evidence from construction enterprises to the field of resource recycling and environmental protection. Revealing the mechanism of green development behavior of construction enterprises has become the key to guide construction enterprises to adopt green development behavior and improve the level of green development. However, existing studies on the mechanistic discussion of green development behavior of construction enterprises do not reach a consensus. In order to reveal the mechanism of the green development behavior of construction enterprises, this study examines how the green development behavior of construction enterprises is influenced by factors based on the Theory of Planned Behavior. Using partial least squares structural equation modeling (PLS-SEM), this study analyzed 306 questionnaire data points from construction enterprises in 28 provinces (cities) across China. The main conclusions are as follows. (1) Attitudes, subjective norms and perceived behavioral control have significant positive effects on the green development behavioral intentions of construction enterprises, with attitudes being the strongest predictor. (2) Intention intermediates the relationships between attitude, subjective norms, perceived behavioral control, and the green development behavior of construction enterprises to varying degrees. (3) Regional green development level and enterprise size positively moderate the four groups of the relationship between attitude, subjective norms, perceived behavioral control, intention and green development behavior of construction enterprises. This study provides theoretical guidance for promoting green transformation and upgrading construction enterprises and helps the construction industry achieve a balanced mode of development that supports both economic growth and environmental protection.

1 February 2015 in Ecological Indicators
Verified
Journal Article
Closed access
HLHongbing Luo
Hongbing Luo
XLXiaoling Liu
Xiaoling Liu
BABruce C. Anderson
Bruce C. Anderson
KZKe Zhang
Ke Zhang
XLXiaoting Li
Xiaoting Li
MJMingshu Jiang
Mingshu Jiang

1 July 2017 in Applied Thermal Engineering
Verified
Journal Article
Closed access
XMXi Meng
Xi Meng
TLTao Luo
Tao Luo
YGYanna Gao
Yanna Gao
LZLili Zhang
Lili Zhang
Qiong ShenQiong Shen
Qiong Shen
ELEnshen Long
Enshen Long

1 February 2018 in Applied Thermal Engineering
Verified
Journal Article
Closed access
XMXi Meng
Xi Meng
TLTao Luo
Tao Luo
YGYanna Gao
Yanna Gao
LZLili Zhang
Lili Zhang
XHXing Huang
Xing Huang
ELEnshen Long
Enshen Long

Xingwei LiXingwei Li
Xingwei Li
RHRuonan Huang
Ruonan Huang
JDJiachi Dai
Jiachi Dai
JLJingru Li
Jingru Li
Qiong ShenQiong Shen
Qiong Shen
At present, China has not yet formed an effective development model for the industrialization of construction waste. The level of construction waste treatment and resource utilization is still low, and recycled products also lack market competitiveness. In order to promote the effective development of the remanufactured construction and demolition waste supply chain better, and based on the present situation, this manuscript establishes a game model for recycling units in two different situations: with and without remanufacturing capabilities. However, most existing studies have determined that all recycling units have remanufacturing capabilities. In the first situation, the main players of the game are recycling units with remanufacturing capabilities and consumers. In the second situation, the main players of the game are recycling units without remanufacturing capabilities and the third-party remanufacturer with remanufacturing ability. Therefore, our research can ascertain the optimal strategy choices of both parties in the game under different return situations and discuss the impact of changes to related parameters through numerical simulations. The results show: (1) When the recycling unit has remanufacturing capabilities, corporate leadership and government supervision rate have positive effects on its evolution to strict manufacturing. Only a high supervision rate can effectively suppress the negative impact of speculative gains and drive the system to (strict manufacturing; positive). Furthermore, the higher the supervision rate, the faster the system will converge. Then, the consumer’s payment difference coefficient has a negative effect on the evolution of the recycling unit to strict manufacturing. The larger the payment difference coefficient, the faster the system will converge to a stable state (tendency to formal manufacturing; negative). (2) When the recycling unit does not have the ability to remanufacture, the government cost subsidy rate and the recycling unit’s effort profit coefficient have positive effects on the recycling unit’s evolution to the direction of effort. Meanwhile, the larger the profit coefficient of the recovery unit’s effort, the faster the system will converge. The conclusions obtained provide certain theoretical guidance for the decision making of CDW recycling supply chain recovery units and relevant government departments.

3 February 2022 in Behavioral Sciences
Verified
Journal Article
Open access
PDF file
Xingwei LiXingwei Li
Xingwei Li
JDJiachi Dai
Jiachi Dai
JLJingru Li
Jingru Li
JHJinrong He
Jinrong He
XLXiang Liu
Xiang Liu
Qiong ShenQiong Shen
Qiong Shen
The environmental situation is not optimistic. Improving the level of enterprise green development behavior can help enterprises to comply with the trend of environmental protection. However, existing studies do not explain the factors influencing enterprise green development behavior. This research collects and screens 33 empirical studies related to enterprise green development behavior from multiple authoritative data platforms, which cover 10 different countries and regions. A quantitative approach is then used to comprehensively explore the influencing factors, deeply dig into their degree of influence, and explore the moderating effect of the moderators. The results show the following: (1) corporate tangible resources, corporate intangible resources, market environment, policy and institutional environment, and public supervision have positive effects on enterprise green development behavior, and there are differences in the degree of influence; (2) corporate intangible resources have the most significant influence on enterprise green development behavior; (3) the size, region, and industry of enterprise can moderate enterprise green development behavior. This research suggests four participants: society, enterprise, market, and government. The research results are intended to provide a basis for researchers to further study enterprise green development behavior for specific industries and promote enterprise green development.