Jungang Shao

Jungang Shao


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

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

Representative Publications

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14 January 2023 in Sustainability
Verified
Journal Article
Open access
PDF file
YXYingxia Xue
Yingxia Xue
FLFang Liu
Fang Liu
Guangbin WangGuangbin Wang
Guangbin Wang
JSJungang Shao
Jungang Shao
In order to improve the living environment and meet the daily needs of residents, the Chinese government is vigorously promoting the policy of old community renovation, which is closely related to the life quality and happiness of the residents. However, conflicts often occur between residents and contractors in the construction stage of old community renovation projects as a result of failing to satisfy residents’ demands. This paper uses evolutionary game theory to explore this issue. An evolutionary game model between contractor and resident is established, and then nine different strategy evolution scenarios are derived based on it. Numerical simulation is conducted to analyze the influencing factors of conflict between resident and contractor in the construction stage. It is found that construction cost, reputation, and loss caused by resident’s protest are important factors for the contractor to consider resident’s demand. Protesting cost, probability of winning the protest, and increase in benefit of winning protest exert great impact on the evolution of resident’s strategy decision on whether to protest. The paper can help to predict and affect the strategy evolution of the two parties, which will promote smooth progress of old community renovation.

21 July 2023
Verified
Book Chapter
Open access
PDF file
JSJungang Shao
Jungang Shao
QLQing Li
Qing Li
The Yangtze River Delta (YRD) is an experimental location of highquality holistic growth in China and an important area for realizing the "dual carbon" goal. Utilizing panel data from 27 important municipalities in the YRD urban agglomeration from 2010 to 2020, the fixed-effect model is used to evaluate the stage of advancement in the digital economy on urban emission levels. As an intermediary variable, industrial structure modification was tested to see how the digital economy affected local dioxide emissions. The results show that: (1) After an array of robustness tests, the overall impact on both core variables is inverted Ushaped, facilitating and then constraining emissions; (2) As part of its function in cutting emissions, the digital economy also impacts the industrial framework, which has an indirect, nonlinear, U-shaped effect on the intensity of regional dioxide emissions; (3) Looking further, regions with high levels of government spending and investment in innovation are those where carbon emissions are most clearly affected by digitalization. There is still opportunity for evolution and optimization of the YRD region's energy consumption process. The study's findings expand our comprehension of the factors that influence high-quality community growth as well as how the digital economy works to support it.