Open AccessDecomposition analysis of Japan’s CO2 emissions
Author(s) -
Jalil Vega,
Jeremias A. Gonzaga,
Laurence A. Gan Lim,
Neil Stephen Lopez
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1109/1/012060
Subject(s) - divisia index , logarithmic mean , carbon dioxide , environmental science , greenhouse gas , emission intensity , electricity , energy intensity , decomposition , index (typography) , natural resource economics , driving factors , carbon fibers , logarithm , economics , economy , energy (signal processing) , china , engineering , mathematics , chemistry , geography , computer science , statistics , archaeology , world wide web , biology , algorithm , composite number , mathematical analysis , ecology , excitation , organic chemistry , electrical engineering
Studies have been conducted to uncover the underlying factors of global CO 2 emissions. One method to quantify the driving forces of carbon dioxide emissions is decomposition analysis. In this paper, the logarithmic mean Divisia index (LMDI) method was used to investigate the driving forces of carbon dioxide emissions in Japan for the period of 1990-2017. As one of the world’s leading economies, it also contributes one of the highest CO 2 emissions globally. Results highlighted the flaw of energy structure as one major factor affecting CO 2 emission intensity. Another notable finding is how the state of the economy played a pivotal role in the shift of carbon emission levels. Potential policy recommendations were also introduced to establish a better power structure for electricity generation in the country.