Xiangbo Xu, Qiran Zhao, Jianbing Guo, Chang Li, Jing Li, Kunyu Niu, Shuqin Jin, Chao Fu, Paul P. J. Gaffney, Yan Xu, Mingxing Sun, Yinghao Xue, Dunhu Chang, Yumei Zhang, Wei Si, Shenggen Fan, Linxiu Zhang
{"title":"1993 至 2020 年中国农村农业温室气体排放强度的不平等有所上升","authors":"Xiangbo Xu, Qiran Zhao, Jianbing Guo, Chang Li, Jing Li, Kunyu Niu, Shuqin Jin, Chao Fu, Paul P. J. Gaffney, Yan Xu, Mingxing Sun, Yinghao Xue, Dunhu Chang, Yumei Zhang, Wei Si, Shenggen Fan, Linxiu Zhang","doi":"10.1038/s43016-024-01071-1","DOIUrl":null,"url":null,"abstract":"Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality—measured as average GHG emissions per unit planted area—increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs. Understanding greenhouse gas (GHG) emission patterns in crop production, particularly their spatial and temporal distributions, is key to designing better policies. This study combines secondary data and household survey data to examine the GHG emissions intensity of croplands in China and how it has fluctuated in the past few decades and to identify the factors driving emissions intensity inequality.","PeriodicalId":94151,"journal":{"name":"Nature food","volume":"5 11","pages":"916-928"},"PeriodicalIF":23.6000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inequality in agricultural greenhouse gas emissions intensity has risen in rural China from 1993 to 2020\",\"authors\":\"Xiangbo Xu, Qiran Zhao, Jianbing Guo, Chang Li, Jing Li, Kunyu Niu, Shuqin Jin, Chao Fu, Paul P. J. Gaffney, Yan Xu, Mingxing Sun, Yinghao Xue, Dunhu Chang, Yumei Zhang, Wei Si, Shenggen Fan, Linxiu Zhang\",\"doi\":\"10.1038/s43016-024-01071-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality—measured as average GHG emissions per unit planted area—increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs. Understanding greenhouse gas (GHG) emission patterns in crop production, particularly their spatial and temporal distributions, is key to designing better policies. This study combines secondary data and household survey data to examine the GHG emissions intensity of croplands in China and how it has fluctuated in the past few decades and to identify the factors driving emissions intensity inequality.\",\"PeriodicalId\":94151,\"journal\":{\"name\":\"Nature food\",\"volume\":\"5 11\",\"pages\":\"916-928\"},\"PeriodicalIF\":23.6000,\"publicationDate\":\"2024-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature food\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43016-024-01071-1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature food","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43016-024-01071-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Inequality in agricultural greenhouse gas emissions intensity has risen in rural China from 1993 to 2020
Reducing greenhouse gas (GHG) emissions in crop production while ensuring emission equity is crucial for sustainable agriculture in China, yet long-term large-scale data on GHG emissions intensity (GEI) are limited. Using an extensive dataset based on surveyed farm households (n > 430,000 households) from 1993 to 2020, we reveal that 2015 was a turning point for GEI levels, which dropped 16% in 2020, while inequality—measured as average GHG emissions per unit planted area—increased 13%. The key driving forces behind such trends included farmland input, all other inputs, agricultural labour input and total factor productivity but not capital input. Notably, farmland input and all other inputs contributed to 80% of the inequality, while contribution of total factor productivity gradually declined and was replaced by migration-induced agricultural labour input differences. Reducing GEI levels and guarding against widening inequality require optimizing production factor inputs. Understanding greenhouse gas (GHG) emission patterns in crop production, particularly their spatial and temporal distributions, is key to designing better policies. This study combines secondary data and household survey data to examine the GHG emissions intensity of croplands in China and how it has fluctuated in the past few decades and to identify the factors driving emissions intensity inequality.