Proceedings of the 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021)

Analysis of National CO2 Emission Performance Based on Agricultural Emission Indicator

Authors
Xuanyou Chen1, *, Yue Zhang1, Pengxu Chen2, Anduo Wang3
1Nansha College Preparatory Academy, Fok Ying Tung High School, Guangzhou, Guangdong 510000, China
1Chu Kochen Honors College, Zhejiang University, Hangzhou, Zhejiang 310058, China
2Tianjin Yinghua International School, tianjin, 301700, China
3Beijing New Talent Academy, Beijing, 101300, China
*Corresponding author. Email: 22dchen@ncpachina.org
Corresponding Author
Xuanyou Chen
Available Online 24 December 2021.
DOI
10.2991/assehr.k.211220.363How to use a DOI?
Keywords
Food and Agriculture Organization; Agriculture CO2 Emission; Socioeconomic Factors; Agricultural Emission Indicator
Abstract

This study uses data from the Food and Agriculture Organization (FAO) of the United Nations to investigate the relationship between agricultural CO2 emission, production, and related socioeconomic factors. First, we gather and process emission and production data, and then organize data based on country, year, and the source of emission. Second, we derive an Agricultural Emission Indicator measuring countries’ ability to making efficient use of CO2 emission in agricultural production, and weight the score by a country’s production capacity and composition. Third, we analyze the correlation between our Agricultural Emission Indicator and several economics-related measurements in an attempt to generalize trends and connections among countries. The three most important findings are: one, a country tends to be affected more and score higher on the type of food taking up the highest share of overall production; two, the emission scores for crop products including cereal and rice are more variable than scores for animal products including egg, meat, and milk; three, the performance of countries might be associated with their GDP, geographic, location, population. The findings offer insight into the role of economic activities in influencing agricultural emissions. We also develop a shiny app to show the emission and rank of a certain country and choose several typical countries for further analysis. However, the results of this study are limited by missing data, data inaccuracy, and a limited scope of investigation focusing only on CO2 and agricultural emissions. Future studies could consider expanding upon the scope of this research to include more GHG types and more economic activities, as well as gathering primary data from more reliable sources.

Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
24 December 2021
ISBN
10.2991/assehr.k.211220.363
ISSN
2352-5398
DOI
10.2991/assehr.k.211220.363How to use a DOI?
Copyright
© 2021 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xuanyou Chen
AU  - Yue Zhang
AU  - Pengxu Chen
AU  - Anduo Wang
PY  - 2021
DA  - 2021/12/24
TI  - Analysis of National CO2 Emission Performance Based on Agricultural Emission Indicator
BT  - Proceedings of the 2021 4th International Conference on Humanities Education and Social Sciences (ICHESS 2021)
PB  - Atlantis Press
SP  - 2108
EP  - 2114
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.211220.363
DO  - 10.2991/assehr.k.211220.363
ID  - Chen2021
ER  -