Premium
Industrial Distribution and LMDI Decomposition of Trade‐Embodied CO 2 in China
Author(s) -
Cao Zi,
Wei Jie
Publication year - 2019
Publication title -
the developing economies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.305
H-Index - 30
eISSN - 1746-1049
pISSN - 0012-1533
DOI - 10.1111/deve.12207
Subject(s) - divisia index , china , energy intensity , emission intensity , manufacturing sector , final demand , intensity (physics) , agricultural economics , index (typography) , secondary sector of the economy , input–output model , economics , environmental science , natural resource economics , production (economics) , economy , energy (signal processing) , mathematics , international economics , engineering , statistics , geography , computer science , macroeconomics , archaeology , world wide web , quantum mechanics , excitation , physics , electrical engineering , market economy
This paper investigates trade‐embodied CO 2 in China, with a special focus on the production processes and materials of each industrial sector from 1990 to 2013. It uses an input–output model, which analyzes the specific causes of periodic waves. Our findings suggest that the machine‐manufacturing sector produced the largest amount of emissions, whereas the metal and nonmetal sector had the highest intensity of emissions. Moreover, the total emission quantities in trade increased from 612 to 3,331 million tons from 1990 to 2013. We employ the log‐mean Divisia index (LMDI) model to decompose the carbon emissions changes into export structure, export volume, energy structure, and energy intensity and estimate the influence of these factors at a number of time points. We find that energy intensity curbed emissions increase and that export volume expansion was the strongest driving force.