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Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis

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  • Hasan, Mohammad Maruf
  • Li, Lanrui

Abstract

Effective environmental technologies are crucial in addressing China's sustainability challenges, especially in green technology, green supply chains, and smart development. This study addresses the research gap in prioritizing green technologies, production or processing of goods, digital assistants, and financial mechanisms through specific policies to accelerate China's green development and strengthen its global environmental leadership. In this context, the study aims to investigate the relationships among supply chain disruptions, digitalization, remittances, research & development (R&D), and GDP on environment-related technologies in the Chinese economy by employing the wavelet quantile regression and wavelet quantile correlation analysis using quarterly data from 1995 to 2021. The results show a strong relationship among supply chain, digitalization, remittances, and R&D on environmental technology in the short term; however, these relationships tend to weaken over time. The correlation with GDP is relatively weak in the short term and strengthens only under specific long-term conditions. These findings emphasize the significance of examining both temporal and distributional aspects when assessing the influence of different factors on environmental technology. Study findings offer valuable insights for policymakers and stakeholders.

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  • Hasan, Mohammad Maruf & Li, Lanrui, 2025. "Do supply chain and digitalization Foster China's advancement in green development? An evidence from wavelet quantile regression and wavelet quantile correlation analysis," Energy Economics, Elsevier, vol. 142(C).
    • Handle: RePEc:eee:eneeco:v:142:y:2025:i:c:s0140988324008089
    DOI: 10.1016/j.eneco.2024.108099
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