Yongda He

Shanxi University of Finance and Economics - School of Statistics

Taiyuan

China

  • Shanxi University of Finance and Economics - School of Statistics

SCHOLARLY PAPERS

3

DOWNLOADS

158

TOTAL CITATIONS

3

Scholarly Papers (3)

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1.

Exploring the Connectedness Between Major Volatility Indices and Worldwide Sustainable Investments

Number of pages: 37 Posted: 06 Mar 2024
Danyang Xu, Yang Hu, Les Oxley, Boqiang Lin and Yongda He
University of Waikato, University of Waikato - Management School, University of Waikato - Department of Economics and Finance, Xiamen University - Collaborative Innovation Center for Energy Economics and Energy Policy and Shanxi University of Finance and Economics - School of Statistics
Downloads 57 (719,495)
Citation 1

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ESG, COVOL, COVID-19, Connectedness

2.

The Effectiveness of China's Fiscal and Monetary Policy and the Impact of Uncertainty Shocks: From the Perspective of Three Industries

Number of pages: 30 Posted: 02 Sep 2021 Last Revised: 02 Aug 2022
Yongda He, Dayu Liu, Wanying Chen, Wei Li and Harald Schmidbauer
Shanxi University of Finance and Economics - School of Statistics, Jilin University (JLU), Jilin University (JLU), Shanxi University of Finance and Economics and FOM University of Applied Sciences for Economics and Management
Downloads 54 (737,283)

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policy level shocks, policy uncertainty shocks, large-scale benchmark VAR model, industry regulation

3.

Can Industrial Intellectualization Reduce Carbon Emissions? Empirical Evidence from the Perspective of Carbon Total Factor Productivity in China

Number of pages: 33 Posted: 26 Mar 2022
Linhui Wang, Hui Wang, Yongda He, Zhiqing Dong, Shixiang Wang and Zhanglu Cao
affiliation not provided to SSRN, affiliation not provided to SSRN, Shanxi University of Finance and Economics - School of Statistics, affiliation not provided to SSRN, Jilin University of Finance and Economics and affiliation not provided to SSRN
Downloads 47 (782,238)
Citation 2

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Industrial intellectualization, Carbon total factor productivity, Internet technology, Big Data, Skilled labor