Wendong Wei

Prof. Wendong Wei

School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai 200030, China
orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

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

Representative Publications

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4 January 2021 in Nature Sustainability
Verified
Journal Article
Closed access
PDF file
HQHaoqi Qian
Haoqi Qian
SXShaodan Xu
Shaodan Xu
JCJing Cao
Jing Cao
FRFeizhou Ren
Feizhou Ren
Wendong WeiWendong Wei
Wendong Wei
LWLibo Wu
Libo Wu

1 August 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
FSFei Shen
Fei Shen
BLBei Liu
Bei Liu
FLFang Luo
Fang Luo
CWChangchang Wu
Changchang Wu
HCHao Chen
Hao Chen
Wendong WeiWendong Wei
Wendong Wei

1 June 2020 in Journal of Environmental Management
Verified
Journal Article
Closed access
CBCaiquan Bai
Caiquan Bai
CFChen Feng
Chen Feng
HYHong Yan
Hong Yan
XYXing Yi
Xing Yi
ZCZhujun Chen
Zhujun Chen
Wendong WeiWendong Wei
Wendong Wei

19 October 2022 in Journal of Environmental Management
Verified
Journal Article
Closed access
HWHui Wang
Hui Wang
YLYueyue Li
Yueyue Li
WLWeifen Lin
Weifen Lin
Wendong WeiWendong Wei
Wendong Wei

22 September 2021 in Scientific Data
Verified
Journal Article
Open access
PDF file
HZHeran Zheng
Heran Zheng
YBYangchun Bai
Yangchun Bai
Wendong WeiWendong Wei
Wendong Wei
JMJing Meng
Jing Meng
ZZZhengkai Zhang
Zhengkai Zhang
DGDabo Guan
Dabo Guan
Global production fragmentation generates indirect socioeconomic and environmental impacts throughout its expanded supply chains. The multi-regional input-output model (MRIO) is a tool commonly used to trace the supply chain and understand spillover effects across regions, but often cannot be applied due to data unavailability, especially at the sub-national level. Here, we present MRIO tables for 2012, 2015, and 2017 for 31 provinces of mainland China in 42 economic sectors. We employ hybrid methods to construct the MRIO tables according to the available data for each year. The dataset is the consistent China MRIO table collection to reveal the evolution of regional supply chains in China’s recent economic transition. The dataset illustrates the consistent evolution of China’s regional supply chain and its economic structure before the 2018 US-Sino trade war. The dataset can be further applied as a benchmark in a wide range of in-depth studies of production and consumption structures across industries and regions.

30 May 2023 in Nature Communications
Verified
Journal Article
Open access
KPKun Peng
Kun Peng
KFKuishuang Feng
Kuishuang Feng
BCBin Chen
Bin Chen
YSYuli Shan
Yuli Shan
NZNing Zhang
Ning Zhang
JLJiashuo Li
Jiashuo Li
The low-carbon power transition, which is key to combatting climate change, has far-reaching effects on achieving the Sustainable Development Goals (SDGs) in terms of issues such as resource use, environmental emissions, employment, and many more. Here, we assess the potential impacts of the power transition on progress toward achieving multiple SDGs (covering 18 targets across the 17 goals) across 49 economies under nine socioeconomic and climate scenarios. We find that the low-carbon power transition under the representative concentration pathway (RCP)2.6 scenarios could lead to an approximately 11% improvement in the global SDG index score from 54.70 in 2015 to 59.89-61.33 in 2100. However, the improvement would be significantly decreased to 4.42%-7.40% and 7.55%-8.93% under the RCP6.0 and RCP4.5 scenarios, respectively. The power transition could improve the overall SDG index in most developed economies under all scenarios while undermining their resource-related SDG scores. Power transition-induced changes in international trade would improve the SDG progress of developed economies but jeopardize that of developing economies, which usually serve as resource hubs for meeting the demand for low-carbon power transition in developed economies.