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Examining the impact of extreme temperature on green innovation in China: Evidence from city-level data

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  • Hu, Haiqing
  • Wei, Wei
  • Chang, Chun-Ping

Abstract

This research systematically investigates the effects of extreme temperature on green innovation outcomes from a dataset of 273 cities in China spanning 2000 to 2020. The estimation results show that daily temperature has a non-linear influence on green innovative outputs in cities of China. When the temperature fluctuates higher or lower, city-level green innovation drops accordingly - namely, extreme temperature follows lower green innovation output. Next, we utilize the three special types of innovation to see the detrimental effect is stronger in invention innovation, followed by utility innovation and design innovation. Robust analyses verify our results that when replacing the green innovation variable of trademark, it broadens the width of temperature bins. Overall, we demonstrate that the influences of extreme temperature on city-level green innovation differ remarkably for special types of innovative outputs in cities of China. Our findings contribute to the existing literature in examining the different impacts of extreme temperature on green innovation outcomes.

Suggested Citation

  • Hu, Haiqing & Wei, Wei & Chang, Chun-Ping, 2022. "Examining the impact of extreme temperature on green innovation in China: Evidence from city-level data," Energy Economics, Elsevier, vol. 114(C).
    • Handle: RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004558
    DOI: 10.1016/j.eneco.2022.106326
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    Cited by:

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    3. Minjie Li & Mengjun Meng & Yihui Chen, 2024. "The impact of the digital economy on green innovation: the moderating role of fiscal decentralization," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-33, April.
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    5. Su, Ruixin & Shui, Xiaolong & Zhang, Minhao & Li, Si, 2024. "Too hot to be innovative: Examining the relationship between high temperatures and corporate green innovation," International Journal of Production Economics, Elsevier, vol. 274(C).
    6. Jiang, Lei & Yang, Yue & Wu, Qingyang & Yang, Linshuang & Yang, Zaoli, 2024. "Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China," Energy Economics, Elsevier, vol. 130(C).

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    More about this item

    Keywords

    Extreme temperature; Green innovation; Ordinary least square; Panel data;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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