Exploring Relationships among Crude Oil, Bitcoin, and Carbon Dioxide Emissions: Quantile Mediation Analysis

被引:0
|
作者
Hsu, Tzu-Kuang [1 ]
Lien, Wan-Chu [1 ]
Lee, Yao-Hsien [2 ]
机构
[1] Chung Hua Univ, Program Management, 707 Sec 2,WuFu Rd, Hsinchu 30012, Taiwan
[2] Chung Hua Univ, Dept Finance, 707 Sec 2,WuFu Rd, Hsinchu 30012, Taiwan
关键词
Brent crude (BRT); cryptocurrency; CO2; emissions; renewable energy; nonlinear inverted U-shaped curve; AUTOREGRESSIVE TIME-SERIES; ECONOMIC-GROWTH; CO2; EMISSIONS; COINTEGRATION; IMPACT; CONSUMPTION; ENERGY; GOLD;
D O I
10.3390/pr11051555
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Crude oil, Bitcoin, and carbon dioxide emissions are major issues that are significantly impacting the global economy and environment. These three issues are complexly interlinked, with profound economic and environmental implications. In this study, we explore the correlation among these three issues and attempt to understand the influence of crude oil and Bitcoin on carbon dioxide emissions. We created a novel approach, named quantile mediation analysis, which blends mediation regression with quantile regression, enabling us to explore the influence of Brent crude oil on carbon dioxide emissions by considering the mediating impact of Bitcoin. According to the findings from using our new approach, the impact of Brent crude oil on carbon dioxide emissions is partly mediated by Bitcoin, and the association between Brent crude oil and carbon dioxide emissions involves both direct and indirect effects. Since the carbon dioxide generated by the extraction of crude oil and Bitcoin has a great impact on the environment, accelerating the use of clean energy technologies to reduce our reliance on crude oil should be the direction that the cryptocurrency industry ought to pursue in the future.
引用
收藏
页数:17
相关论文
共 50 条
  • [1] Using Quantile Mediation Analysis to Explore Relationships among Hydropower Energy Consumption, Economic Growth, and Carbon Dioxide Emissions in Taiwan
    Hsu, Tzu-Kuang
    Yeh, Yuan-Sheng
    Granmo, Anders
    [J]. PROCESSES, 2023, 11 (02)
  • [2] Causal Relationships among Population and Carbon Dioxide Emissions
    Xiao Zhouyan is an Associate Professor.
    [J]. China Population Today, 2012, 29 (02) : 40 - 40
  • [3] Determinants of industrial carbon dioxide emissions growth in Shanghai: A quantile analysis
    Lin, Boqiang
    Benjamin, Nelson I.
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 217 : 776 - 786
  • [4] The effect of renewable energy on carbon dioxide emission in Taiwan: Quantile mediation analysis
    Hsu, Tzu-Kuang
    [J]. SCIENCE PROGRESS, 2021, 104
  • [5] Extreme risk transmission among bitcoin and crude oil markets
    Li, Dongxin
    Hong, Yanran
    Wang, Lu
    Xu, Pengfei
    Pan, Zhigang
    [J]. RESOURCES POLICY, 2022, 77
  • [6] Exploring the nexus of oil price shocks: Impacts on financial dynamics and carbon emissions in the crude oil industry
    Lu, Qingchang
    Umair, Muhammad
    Qin, Zhilong
    Ullah, Mirzat
    [J]. Energy, 312
  • [7] The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis
    Zhang, Yue-Jun
    Jin, Yan-Lin
    Chevallier, Julien
    Shen, Bo
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2016, 112 : 220 - 227
  • [8] Advances in distillation: Significant reductions in energy consumption and carbon dioxide emissions for crude oil separation
    Mathew, Tony Joseph
    Narayanan, Sundar
    Jalan, Amrit
    Matthews, Logan
    Gupta, Himanshu
    Billimoria, Rustom
    Pereira, Carla Sofia
    Goheen, Chris
    Tawarmalani, Mohit
    Agrawal, Rakesh
    [J]. JOULE, 2022, 6 (11) : 2500 - 2512
  • [9] Bitcoin and carbon dioxide emissions: Evidence from daily production decisions
    Papp, Anna
    Almond, Douglas
    Zhang, Shuang
    [J]. JOURNAL OF PUBLIC ECONOMICS, 2023, 227
  • [10] Information spillover and market connectedness: multi-scale quantile-on-quantile analysis of the crude oil and carbon markets
    Ren, Xiaohang
    Dou, Yue
    Dong, Kangyin
    Li, Yiying
    [J]. APPLIED ECONOMICS, 2022, 54 (38) : 4465 - 4485