Review of Panel Data Clustering Methods and Applications

Ao, Xiqin; Wei, Erbao

doi:10.1109/icaibd55127.2022.9820005

Cited by 3 publications

(1 citation statement)

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“…The carbon emission factor of the structural decomposition analysis is a panel data. Ao and Wei (2022) show that there are three types of clustering methods for the existing panel data: methods based on dimension reduction, methods based on similarity measure index design and methods based on gray correlation analysis. Wang and Deng (2019) introduced the concept of trend distance, based on which panel data are clustered to overcome the problem that previous clustering methods cannot reflect the similarity of dynamic development trends of data.…”

Section: Literature Reviewmentioning

confidence: 99%

Driving Factors of Carbon Emissions in G20 Countries: A Weighted Average Structural Decomposition Approach

Xia

2023

Preprint

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As a major part of global development governance, G20 countries ' carbon emissions account for 80 % of global carbon emissions. In order to achieve the "carbon neutrality" goal proposed by the United Nations, it is important to compare and analyze the driving factors of carbon emissions in G20 countries and provide suggestions for their carbon elimination. Based on the carbon emission input-output data of seventeen countries out of G20 in the EORA database, this paper compares the driving factors of carbon emissions between the countries from 1990 to 2016 using the weighted average structural decomposition and K-mean model. This paper focus on four driving factors including carbon emission intensity, final demand structure, export structure and production structure. The carbon emission intensity and final demand structure are the main factors of carbon emission reduction and the other two factors have little effect. In G20 countries, Italy was in the first category because it does best on the final demand structure factor, however Australia is in the last category because it does not make full use of four factors. Therefore, the development of energy-saving technologies and adjustment of demand structure has become an important means for countries to transform and achieve carbon neutrality.

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Section: Literature Reviewmentioning

confidence: 99%