Yifan Xu

ORCID: 0000-0001-5641-6134
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About
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Research Areas
  • Energy, Environment, Economic Growth
  • Energy and Environment Impacts
  • Energy, Environment, and Transportation Policies
  • Global trade and economics
  • Technology and Data Analysis
  • Credit Risk and Financial Regulations
  • Data Mining Algorithms and Applications
  • Customer churn and segmentation
  • International Business and FDI
  • E-commerce and Technology Innovations

Anhui University of Finance and Economics
2024

Soochow University
2021

There is serious debate among researchers regarding the sustainability implications of economic prosperity and energy dependence. Energy consumption has a critical linkage with growth, but it also degrades environmental quality. Therefore, important to investigate relationship between mix, sustainability. However, empirical literature utilizes narrow variables capture Because this, this research introduces new variable using entropy weighting combining deforestation, household carbon...

10.1016/j.heliyon.2024.e26535 article EN cc-by-nc-nd Heliyon 2024-02-01

Although it is widely recognized that Foreign Direct Investment (FDI) inflows have a dominant effect on economic growth of host countries, the determinants FDI are still unclear. Especially, about exchange rate inflow, results reached by scholars vary across countries or regions. It great practical and theoretical significance to explore influencing effects inflow identify mechanisms underlie them in close association with regional characters so as help local government implement targeted...

10.1155/2021/7280879 article EN Mathematical Problems in Engineering 2021-11-28

Recent theories propose that intermediate inputs can induce an operating hedging decrease expected return. Empirically, using the input-output tables of BEA I find industries whose fraction total purchased to value added is higher, and lower returns, consistent with narrative.

10.2139/ssrn.4206131 article EN SSRN Electronic Journal 2022-01-01

Based on the sentiment analysis of commodity evaluation text, a self-updating iterative algorithm is proposed to solve problem mismatch between and scoring, experiment proves that simple efficient, accuracy can reach more than 99.17%.

10.1109/icaica52286.2021.9498066 article EN 2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) 2021-06-28
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