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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:

第47卷

期数:

2025年第03期

页码:

470-484

栏目:

黄河流域生态保护和高质量发展专刊(上)

出版日期:

2025-05-15

文章信息/Info

Title:

Regional Differences and Influencing Factors of Agricultural Carbon Emission Efficiency in the Jiziwan Area of Yellow River Basin—Taking 20 Villages in Yulin City of Shaanxi Province, China as Examples

文章编号:

1672-6561(2025)03-0470-15

作者:

宋永永¹; 2*; 余 焕¹; 王 宁¹; 李娅儒¹; 杨 丹¹

(1.陕西师范大学 地理科学与旅游学院,陕西 西安 710119; 2.榆林沙漠黄土过渡带生态与环境陕西省野外科学观测研究站,陕西 西安 710119)

Author(s):

SONG Yong-yong¹; 2*;  YU Huan¹;  WANG Ning¹;  LI Ya-ru¹;  YANG Dan¹

(1.School of Geography and Tourism,Shaanxi Normal University,Xi'an 710119,Shaanxi,China; 2.Shaanxi Observation and Research Station for Ecology and Environment of Desert-loess Zone at Yulin,Xi'an 710119,Shaanxi,China)

关键词:

农业碳排放;  绿色转型;  数据包络分析;  地理探测器;  碳减排路径;  村域尺度;  陕西

Keywords:

agricultural carbon emission;  green transformation;  data envelopment analysis;  geodetector;  carbon reduction path;  village scale;  Shaanxi

分类号:

X322; F327

DOI:

10.19814/j.jese.2025.01035

文献标志码:

A

摘要:

科学揭示村域尺度农业碳排放效率的空间分异规律与影响因素,是实现“双碳”目标,推动村域农业全面绿色转型的迫切需要。选择黄河“几字弯”核心区——陕西省榆林市榆阳区为案例地,采用数据包络分析(DEA)和地理探测器等方法,从村域尺度研究榆阳区20个典型村农业碳排放量及碳排放效率的地域差异特征,揭示村域农业碳排放效率的影响因素,提出村域农业绿色低碳发展模式和路径。结果表明:①榆阳区村域农业碳排放量地域差异显著,岔河则村种植业碳排放量最高,达到3 149.12 t·年^-1,大圪堵村养殖业碳排放量最高,达到1 687.28 t·年^-1; ②榆阳区村域农业碳排放构成差异明显,化肥投入和羊养殖是农业碳排放的主要来源; ③榆阳区村域农业碳排放效率提升空间大,种植业和养殖业碳排放效率平均值分别为0.951和0.713,在劳动力投入、灌溉面积、农药使用量、牛饲养量和家禽饲养量方面存在冗余; ④榆阳区农业碳排放效率受到自然因素、社会经济因素、物质投入因素等多重因素的共同作用。因此,加快农业生产技术革新,减少牲畜肠道发酵碳排放,完善绿色低碳农业政策等,是促进榆阳区农业绿色低碳转型、实现高质量发展的关键路径。

Abstract:

It is an urgent need to scientifically reveal the spatial differentiation patterns and influencing factors of agricultural carbon emission efficiency at village scale, which is oriented to the “dual carbon” goals and promotes the comprehensive green transformation of agriculture. The Yuyang district of Yulin city, Shaanxi province, which is located in the core area of the Jiziwan area, Yellow River, was selected as a case; the characteristics of regional differences in agricultural carbon emissions and their efficiency were investigated at village scale, the influencing factors of agricultural carbon emission efficiency were revealed by data envelopment analysis(DEA)and geodetector, and the green and low-carbon development models and pathways for agriculture were put forward. The results show that ① there are significant regional differences in agricultural carbon emissions in the village areas of Yuyang district, the annual carbon emission from the planting industry in Chaheze village is highest, reaching 3 149.12 t per year, and the annual carbon emission from the breeding industry in Dagudu village is highest, reaching 1 687.28 t per year; ② the composition of agricultural carbon emissions in the village areas of Yuyang district is significantly different, the fertilizer input and sheep breeding are the main sources of agricultural carbon emissions; ③ there is a large space for improving the agricultural carbon emission efficiency in the village areas of Yuyang district, the average carbon emission efficiencies of the planting and breeding industries are 0.951 and 0.713, respectively, and there is redundancy in terms of labor input, irrigation area, pesticide requirement, cattle and poultry breeding quantity; ④ the agricultural carbon emission efficiency in Yuyang district is affected by multiple factors, such as natural, socio-economic, and material input factors, etc. Therefore, accelerating the technological innovation of agricultural production, reducing carbon emission of livestock enteric fermentation, and improving green and low-carbon agricultural policies, are the key paths to promote the green and low-carbon transformation of agriculture and achieve high-quality development.

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备注/Memo

备注/Memo:

收稿日期:2025-01-20; 修回日期:2025-04-08
基金项目:国家自然科学基金项目(42001251); 陕西师范大学2024年“青春筑梦”挑战杯系列竞赛专项实践校级一类项目(SHSJ2024TZB05)
*通信作者:宋永永(1990-),男,甘肃平凉人,陕西师范大学副教授,理学博士,博士后,E-mail:syy2016@snnu.edu.cn。

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更新日期/Last Update: 2025-06-20