Hui Peng

Dr. Hui Peng

Huazhong University of Science & Technology
orcid

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

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1 September 2021 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Hui PengHui Peng
Hui Peng
NSNeng Shen
Neng Shen
HYHuanqin Ying
Huanqin Ying
QWQunwei Wang
Qunwei Wang

1 June 2021 in Socio-Economic Planning Sciences
Verified
Journal Article
Closed access
NSNeng Shen
Neng Shen
Hui PengHui Peng
Hui Peng

1 May 2020 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Hui PengHui Peng
Hui Peng
NSNeng Shen
Neng Shen
Haolan LiaoHaolan Liao
Haolan Liao
HXHeqiang Xue
Heqiang Xue
QWQunwei Wang
Qunwei Wang

1 July 2021 in Environmental Impact Assessment Review
Verified
Journal Article
Closed access
Hui PengHui Peng
Hui Peng
NSNeng Shen
Neng Shen
HYHuanqin Ying
Huanqin Ying
QWQunwei Wang
Qunwei Wang

8 August 2020 in Sustainability
Verified
Journal Article
Open access
PDF file
NSNeng Shen
Neng Shen
YWYifan Wang
Yifan Wang
Hui PengHui Peng
Hui Peng
ZHZhiping Hou
Zhiping Hou
Excessive consumption of traditional fossil energy has led to more serious global air pollution. This article incorporates renewable energy green innovation (REGI), fossil energy consumption (FEC), and air pollution into a unified analysis framework. Using China’s provincial panel data, a spatial measurement model was used to investigate the spatial effects of renewable energy green innovation and fossil energy consumption on air pollution in China from 2011 to 2017. The global Moran index shows that over time, the spatial correlation of air pollution has gradually weakened, while the global correlation of renewable energy green innovation and fossil energy consumption is increasing year by year. ArcGIS visualization and partial Moran index show that air pollution, renewable energy green innovation, and fossil energy consumption are extremely uneven in geographic space. The spatial distribution of air pollution, renewable energy green innovations, and fossil energy consumption are all characterized by high in the east and low in the west and they all show a strong spatial aggregation. Applying the spatial adjacency matrix to the spatial Durbin model gave the results that China’s air pollution has a significant spatial spillover effect. Replacing fossil fuels with clean renewable energy will reduce air pollutant emissions. The Environment Kuznets Curve (EKC) hypothesis has not been supported and verified in China. The partial differential method test found that the spatial spillover benefits can be decomposed into direct effects and indirect effects. The direct and indirect effects of renewable energy green innovation on air pollution are both significantly negative, indicating that green innovation of renewable energy not only inhibits local air pollution, but also inhibits air pollution in nearby areas. The consumption of fossil energy will significantly increase the local air pollution, while the impact of sulfur dioxide (SO2) and soot (DS) pollution in nearby areas is not obvious. It is recommended to increase investment in renewable energy green innovation, reduce the proportion of traditional fossil energy consumption, and pay attention to the spatial connection and overflow of renewable energy green innovation and air pollution.

9 January 2023 in Energy
Verified
Journal Article
Closed access
Hui PengHui Peng
Hui Peng
YLYaobin Lu
Yaobin Lu
QWQunwei Wang
Qunwei Wang