Analysis of National CO2 Emission Performance Based on Agricultural Emission Indicator
- 10.2991/assehr.k.211220.363How to use a DOI?
- Food and Agriculture Organization; Agriculture CO2 Emission; Socioeconomic Factors; Agricultural Emission Indicator
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.
- © 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 -