Carbon dioxide emissions and environmental risks: Long term and short term

被引:9
作者
Boubaker, Sabri [1 ,2 ,3 ]
Liu, Zhenya [8 ,4 ,5 ]
Mu, Yuhao [4 ]
Zhan, Yaosong [6 ]
机构
[1] EM Normandie Business Sch, Metis Lab, Paris, France
[2] Vietnam Natl Univ, Int Sch, Hanoi, Vietnam
[3] Swansea Univ, Swansea, Wales
[4] Renmin Univ China, Sch Finance, Beijing 100872, Peoples R China
[5] Renmin Univ China, China Financial Policy Res Ctr, Beijing, Peoples R China
[6] Sun Yat Sen Univ, Business Sch, Shenzhen, Peoples R China
关键词
change-point detection; COVID-19; global warming; Paris Agreement; WARMING WELL; CLIMATE; STATIONARITY; DEPENDENCE; PLEDGES;
D O I
10.1111/risa.14281
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
The world is currently experiencing the environmental challenge of global warming, necessitating careful planning of carbon dioxide (CO2) emissions to deal with this problem. This study examines the environmental challenge posed by CO2 emissions from both a long and short-term perspective. In the long term, despite efforts made by countries, our change-point detection analysis shows that there has been no structural change in CO2 emissions since 1950. Without significant efforts, the carbon budget corresponding to the Paris Agreement's target will be exhausted by 2046. To achieve this target, a significant reduction in global CO2 emissions of 3.22% per year is necessary. In the short term, COVID-19 is thought to have relieved pressure on CO2 emissions. However, this study shows that CO2 emissions quickly returned to normal levels after a brief downturn, and we provide information on the order of CO2 emissions recovery for different sectors.
引用
收藏
页码:523 / 543
页数:21
相关论文
共 45 条
[1]   Warming caused by cumulative carbon emissions towards the trillionth tonne [J].
Allen, Myles R. ;
Frame, David J. ;
Huntingford, Chris ;
Jones, Chris D. ;
Lowe, Jason A. ;
Meinshausen, Malte ;
Meinshausen, Nicolai .
NATURE, 2009, 458 (7242) :1163-1166
[2]   Uncertainty in Climate Change Modeling: Can Global Sensitivity Analysis Be of Help? [J].
Anderson, Barry ;
Borgonovo, Emanuele ;
Galeotti, Marzio ;
Roson, Roberto .
RISK ANALYSIS, 2014, 34 (02) :271-293
[3]   Stationarity and Long Range Dependence of Carbon Dioxide Emissions: Evidence for Disaggregated Data [J].
Barros, Carlos Pestana ;
Gil-Alana, Luis A. ;
Perez de Gracia, Fernando .
ENVIRONMENTAL & RESOURCE ECONOMICS, 2016, 63 (01) :45-56
[4]   Change-point analysis as a tool to detect abrupt climate variations [J].
Beaulieu, Claudie ;
Chen, Jie ;
Sarmiento, Jorge L. .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2012, 370 (1962) :1228-1249
[5]   Identification and characterization of abrupt changes in the land uptake of carbon [J].
Beaulieu, Claudie ;
Sarmiento, Jorge L. ;
Fletcher, Sara E. Mikaloff ;
Chen, Jie ;
Medvigy, David .
GLOBAL BIOGEOCHEMICAL CYCLES, 2012, 26
[6]   Projections of Future Extreme Weather Losses Under Changes in Climate and Exposure [J].
Bouwer, Laurens M. .
RISK ANALYSIS, 2013, 33 (05) :915-930
[7]   Consistency of global satellite-derived aerosol and cloud data sets with recent brightening observations [J].
Cermak, Jan ;
Wild, Martin ;
Knutti, Reto ;
Mishchenko, Michael I. ;
Heidinger, Andrew K. .
GEOPHYSICAL RESEARCH LETTERS, 2010, 37
[8]  
Chesney M., 2012, Applied Mathematical Finance, V19, P447, DOI DOI 10.1080/1350486X.2011.639948
[9]  
Costa M. H., 2021, GLOBAL CARBON OTHER
[10]  
Csorgo M., 1997, Limit Theorems in Change-Point Analysis