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Работы, на которые ссылается эта работа

Работ: 68

Работа: How do semiconductors, artificial intelligence, geopolitical risk, and their moderating effects shape renewable energy production in leading semiconductor manufacturing countries?

  1. A simple panel unit root test in the presence of cross‐section dependence

    M. Hashem Pesaran

    Статья2007Цитирований: 122
    ABI
  2. Testing slope homogeneity in large panels

    M. Hashem Pesaran, Takashi Yamagata

    Статья2007Цитирований: 92
    ABI
  3. General Diagnostic Tests for Cross Section Dependence in Panels

    M. Hashem Pesaran

    Статья2004Цитирований: 58
    ABI
  4. New Simple Tests for Panel Cointegration

    Joakim Westerlund

    Статья2005Цитирований: 20
    ABI
  5. Testing slope homogeneity in large panels with serial correlation

    Johan Blomquist, Joakim Westerlund

    Статья2013Цитирований: 19
    ABI
  6. The Next Generation of the Penn World Table

    Robert C. Feenstra, Robert Inklaar, Marcel P. Timmer

    Статья2015Цитирований: 6
    ABI
  7. How does artificial intelligence promote renewable energy development? The role of climate finance

    Congyu Zhao, Kangyin Dong, Kun Wang +1

    Статья2024Цитирований: 5
    ABI
  8. Time-varying interactions between geopolitical risks and renewable energy consumption

    Yifei Cai, Yanrui Wu

    Статья2021Цитирований: 3
    ABI
  9. Geopolitical risk and renewable energy asset prices: Implications for sustainable development

    Anupam Dutta, Probal Dutta

    Статья2022Цитирований: 3
    ABI
  10. A review of the applications of artificial intelligence in renewable energy systems: An approach-based study

    Mersad Shoaei, Younes Noorollahi, Ahmad Hajinezhad +1

    Обзорная статья2024Цитирований: 3
    ABI
  11. Can artificial intelligence help accelerate the transition to renewable energy?

    Zhao Qian, Lu Wang, Sebastian Emanuel Stan +1

    Статья2024Цитирований: 3
    ABI