Ullah Sabeeh, Khattak Sajid Rahman, Ullah Rezwan, Fayaz Mohammad, Han Heesup, Yoo Sunghoon, Ariza-Montes Antonio, Raposo António
Institute of Business and Management Sciences, The University of Agriculture, Peshawar, Pakistan.
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China.
Heliyon. 2023 Dec 29;10(1):e23815. doi: 10.1016/j.heliyon.2023.e23815. eCollection 2024 Jan 15.
This study examined the relationships between pandemic fear, government responses, and climate change using a time-series dataset from January 1, 2020, to December 31, 2020. By employing an auto-regressive distributed lag (ARDL) approach, the results revealed that pandemic fear significantly impacts climate change, while government responses to COVID-19 negatively influence climate change in the long run. Climate change and government responses significantly positively affect pandemic fear in the long run. Moreover, we found a bidirectional causality between government responses and climate change, unidirectional causality from government responses to pandemic fear, and no Granger causality between pandemic fear and climate change. Our findings have some important policy implications. Governments must encourage coordination, enhance crisis responses, and consider revising economic metrics to maintain environmental sustainability. The COVID-19 experience can inform strategies for reducing CO2 emissions and investing in green economies and healthcare to prepare for future challenges.
本研究使用2020年1月1日至2020年12月31日的时间序列数据集,考察了大流行恐惧、政府应对措施与气候变化之间的关系。通过采用自回归分布滞后(ARDL)方法,结果显示,大流行恐惧对气候变化有显著影响,而政府对新冠疫情的应对措施从长期来看对气候变化有负面影响。从长期来看,气候变化和政府应对措施对大流行恐惧有显著的正向影响。此外,我们发现政府应对措施与气候变化之间存在双向因果关系,政府应对措施与大流行恐惧之间存在单向因果关系,而大流行恐惧与气候变化之间不存在格兰杰因果关系。我们的研究结果具有一些重要的政策意义。政府必须鼓励协调、加强危机应对,并考虑修订经济指标以维持环境可持续性。新冠疫情的经验可为减少二氧化碳排放、投资绿色经济和医疗保健以应对未来挑战的战略提供参考。