Yuqing GENG

Prof. Dr. Yuqing GENG

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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28 September 2022 in Environmental Science and Pollution Research
Verified
Journal Article
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YGYuqing GENG
Yuqing GENG
RZRenjun Zhu
Renjun Zhu
MMMukasar Maimaituerxun
Mukasar Maimaituerxun

1 July 2022 in Sage Open
Verified
Journal Article
Open access
YGYuqing GENG
Yuqing GENG
MMMukasar Maimaituerxun
Mukasar Maimaituerxun
The involvement of green marketing in sustainable consumption is becoming a hot topic in recent decades. However, the co-themed studies of these two terms are relatively less sufficient, and more detailed integrated research should be processed. This study uses CiteSpace to do bibliometric analysis regarding the knowledge structure and evolution of green marketing in sustainable consumption with visualization. Results show that green marketing in sustainable consumption is a prosperous topic with increasing annual publications. Besides, there are relatively complicated collaboration networks among institutions and strong extensive cross-regional collaborations, and the most productive authors may not be highly cited, which contradicts with former results of other studies. Furthermore, “green,” “consumption,” “sustainability,” and “consumer” are more welcomed in this research domain and are at the dominating status in the recent studies; some new research directions have emerged, and research focuses are more diversified, implying the multidisciplinary and comprehensiveness nature of this research domain. This study enjoys novelties by combining green marketing and sustainable consumption, constructing a knowledge framework of this domain, revealing current gaps, and proposing key research directions in the future, which cover the deficiencies of former studies and enrich the knowledge system, and are significant references for scholars to explore the research of this domain in the future more effectively and efficiently.

31 January 2020 in Discrete Dynamics in Nature and Society
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Journal Article
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YGYuqing GENG
Yuqing GENG
ZWZejun Wei
Zejun Wei
HZHan Zhang
Han Zhang
MMMukasar Maimaituerxun
Mukasar Maimaituerxun
The results show that the comprehensive development degree (CDD) of the tourism-air environment system mainly maintains stable with fluctuation and the gap among different reaches in the Zone is declining; the coupling coordination degree’s (CCD) tendency in most regions remains similar as in the previous decade. The results illustrate that the method combing information entropy weight and the technique for order preference by similarity to an ideal solution (IEW-TOPSIS), coupling coordination degree model (CCDM), and gray GM (1, 1) prediction model is effective in evaluating the coupling coordination relationship between the subsystems of tourism and air environment and in proposing specific countermeasures for tourism development and air environment governance.

1 June 2020 in PLOS ONE
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YGYuqing GENG
Yuqing GENG
NZNan Zhao
Nan Zhao
This paper constructs the 6E evaluation index system, a comprehensive index including the dimensions of economy, effectiveness, efficiency, equity, earnings and equality, to measure the sustainable higher education development of the 31 provincial regions of China by utilizing the information entropy weight-TOPSIS method. This paper then makes a spatial and temporal analysis of the coupling coordination relationship among the dimensions of sustainable higher education development by using the coupling coordination model. In addition, this paper proposes specific and applicable countermeasures for sustainable higher education development. The results show that the comprehensive degrees of sustainable higher education development in most regions are not high, and the coastal regions and the Central-south China regions have higher grades; in addition, for most regions, the coupling coordination degrees mainly remain stable, with mild growth in the respective classifications, and the gap between the west and other regions is declining. The improved method is applicable to measure the sustainable development of higher education and to propose detailed and appropriate suggestions for further development.

12 September 2020 in Environmental Monitoring and Assessment
Verified
Journal Article
Closed access
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YGYuqing GENG
Yuqing GENG
HZHan Zhang
Han Zhang

7 September 2021 in PLOS ONE
Verified
Journal Article
Open access
PDF file
YGYuqing GENG
Yuqing GENG
YYYan Yan
Yan Yan
This study aims to explore whether higher education and science popularization can achieve coordinated growth with temporal and spatial characteristics. Selecting the provincial regions of the Yangtze River Economic Belt in China as cases with data from the national statistics administrations (such as China Statistical Yearbook), this study uses entropy weight analysis, TOPSIS, GM(1,1) gray prediction methods and coupling coordination degree model to evaluate the coordinated growth status. The key findings are: (1) the annual budget per student, and the number of science and technology museums affect both systems more obviously; (2) the overall performances of science popularization fluctuate more obviously than those of higher education; (3) the coordinated growth performances of the two systems in most regions remain mild fluctuations and keep relatively stable coordinated status, however, temporal and spatial variation tendencies do exist among regions. Therefore, corresponding countermeasures should be implemented: generally, national authority needs to involve in coordination activities among regions; the regions with satisfactory coordinated growth performances need more creative approaches to maintain the coordinated growth interactions; the regions at the transitioning status need to prevent the grade decline and upgrade the performances; the regions with lagging performances need to stop the decline and reduce the gaps with others. The novelties include analyzing the coordinated growth interaction mechanism between the two, selecting indices to assess the abstract interaction mechanism precisely, proposing suggestions based on temporal and spatial comparisons of the coordinated growth performances, etc.