Chenchen Shi

Dr. Chenchen Shi

Capital University of Economics and Business, Beijing, China
orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 January 2015 in Physics and Chemistry of the Earth, Parts A/B/C
Verified
Journal Article
Open access
Xiangzheng DengXiangzheng Deng
Xiangzheng Deng
QSQingling Shi
Qingling Shi
QZQian Zhang
Qian Zhang
CSChenchen Shi
Chenchen Shi
FYFang Yin
Fang Yin

26 August 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
CSChenchen Shi
Chenchen Shi
NGNaliang Guo
Naliang Guo
XGXing Gao
Xing Gao
Feng WuFeng Wu
Feng Wu

16 June 2022 in Land
Verified
Journal Article
Open access
PDF file
CSChenchen Shi
Chenchen Shi
XZXiaoping Zhu
Xiaoping Zhu
HWHaowei Wu
Haowei Wu
Zhihui LiZhihui Li
Zhihui Li
Climate change and rapid urbanization bring natural and anthropogenetic disturbance to the urban ecosystem, damaging the sustainability and resilience of cities. Evaluation of urban ecological resilience and an investigation of its impact mechanisms are of great importance to sustainable urban management. Therefore, taking the Beijing-Tianjin-Hebei Urban Agglomeration (BTHUA) region in China as a study area, this study builds an evaluation index to assess urban ecological resilience and its spatial patterns with the resilience surrogate of net primary production during 2000–2020. The evaluation index is constructed from two dimensions, including the sensitivity and adaptability of urban ecosystems, to capture the two key mechanisms of resilience, namely resistance and recovery. Resilience-influencing factors including biophysical and socio-economic variables are analyzed with the multiple linear regression model. The results show that during 2000–2020, the spatial pattern of urban ecological resilience in the BTHUA is characterized by high resilience in the northwest and relatively low resilience in the southeast. High resilience areas account for 40% of the whole region, mainly contributed by Zhangjiakou and Chengde city in Hebei Province, which is consistent with the function orientation of the BTH region in its coordinated development. Along with urbanization in this region, ecological resilience decreases with increased population and increases with GDP growth; this indicates that, although population expansion uses resources, causes pollution and reduces vegetation coverage, with economic growth and technological progress, the negative ecological impact could be mitigated, and the coordinated development of social economy and ecological environment could eventually be reached. Our findings are consistent with mainstream theories examining the ecological impact of socio-economic development such as the Environmental Kuznets Curve, Porter Hypothesis, and Ecological Modernization theories, and provide significant references for future urbanization, carbon neutrality, resilience building, and urban ecological management in China.

23 October 2019 in Geographical Research
Verified
Journal Article
Closed access
PDF file
SRSarah Rogers
Sarah Rogers
DCDan Chen
Dan Chen
HJHong Jiang
Hong Jiang
Ian RutherfurdIan Rutherfurd
Ian Rutherfurd
MWMark Yaolin Wang
Mark Yaolin Wang
WZWenjing Zhang
Wenjing Zhang

1 November 2019 in Journal of Cleaner Production
Verified
Journal Article
Closed access
CSChenchen Shi
Chenchen Shi
QSQingling Shi
Qingling Shi
FGFeng Guo
Feng Guo

23 December 2014 in Sustainability
Verified
Journal Article
Open access
PDF file
QSQingling Shi
Qingling Shi
SCShiyi Chen
Shiyi Chen
CSChenchen Shi
Chenchen Shi
ZWZhan Wang
Zhan Wang
Xiangzheng DengXiangzheng Deng
Xiangzheng Deng
China has been stressing the needs of promoting regional sustainable development through industrial transformation. In the northwest region of China, which is faced with both urgent socioeconomic development and fragile ecological conditions, with water scarcity being one of the major characters, the relationship between industrial transformation and water use efficiency ought to be investigated. This paper conducted an empirical analysis of industry transformation’s impact on water use efficiency by using the Input-output analysis. First, we compiled an extended Input-output table with water use account; Second, the input-output analysis model was built based on the extended Input-output table; Then, a counterfactual experiment was performed to document the water use efficiency caused by industrial transformation; Finally, water use efficiency of different sectors in both northwest region of China as a whole and its five provinces were calculated. The results show that water use efficiency of northwest region of China is improved by optimizing industrial structure. Also, sectors with low water use efficiency but huge improvement potential were found out. Then policy implications for regional sustainable development and water resources management are provided at the end of the article.