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

Haiqing Hu, Wei Wei and Chun-Ping Chang

Energy Economics, 2022, vol. 114, issue C

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.

Keywords: Extreme temperature; Green innovation; Ordinary least square; Panel data (search for similar items in EconPapers)
JEL-codes: C23 O33 Q43 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:114:y:2022:i:c:s0140988322004558

DOI: 10.1016/j.eneco.2022.106326

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