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Climate Finance with Big Data Analytics

Author

Listed:
  • Jingli Ren

    (Zhengzhou University, China)

  • Fan Jia

    (Zhengzhou University, China)

  • Yutong Sun

    (Chinese Academy of Sciences, China)

Abstract

This book offers a deep dive into the investment and business implications of climate change, uncovering both the emerging opportunities and pressing challenges. Through a powerful lens of big data analytics, it guides readers across four critical pillars of climate finance: climate data, indices, pricing, and reporting and engagement.

Suggested Citation

  • Jingli Ren & Fan Jia & Yutong Sun, 2026. "Climate Finance with Big Data Analytics," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 14433, September.
    • Handle: RePEc:wsi:wsbook:14433
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    File URL: https://www.worldscientific.com/worldscibooks/10.1142/14433
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    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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