|Table of Contents|

Research on Low-carbon Agricultural Development in Shanxi Province Under the Background of ‘Two Mountains’ Theory

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2024年10
Page:
140-147
Research Field:
Publishing date:

Info

Title:
Research on Low-carbon Agricultural Development in Shanxi Province Under the Background of ‘Two Mountains’ Theory
Author(s):
ZHI Huiyong; HAN Weihong; LI Jianjun; YAO Xiaoping; ZHANG Zhenyu
(College of Agricultural Economics and Management，Shanxi Agricultural University，Jinzhong,Shanxi 030801)
Keywords:
Two Mountains’ theory; carbon emissions; low-carbon agriculture; development mode
PACS:
F 323.22
DOI:
10.11937/bfyy.20234072
Abstract:
Under the background of the ‘Two Mountains’ theory，the issue of agricultural greenhouse gas emissions has attracted wide attention from all walks of life，and positive measures need to be taken to mitigate the impact on climate change，and the heat of low-carbon agriculture is increasing.This study used emission factor method and parameter estimation method to estimate agricultural carbon emission and carbon sink from 2010 to 2021 in Shanxi Province，and used SBM model to evaluate agricultural environmental efficiency.The results showed that the agricultural carbon emission in Shanxi Province presents a trend of ‘rapid rise-slow decline-rapid rise’ during 2010—2021，and the emission intensity showed a downward trend.The overall agricultural carbon sink showed a trend of ‘rapid rise-decline-slow rise’，and the net carbon sink was roughly the same.In 2021，agricultural carbon emissions will total 7.270 3×104 t and carbon sinks will total 15.492 5×104 t.The environmental efficiency model was used to evaluate agricultural environmental efficiency in Shanxi Province from 2010 to 2021.The environmental efficiency of Shanxi Province was steadily improved，reaching the optimal fit in 2020 and maintaining the optimal fit in 2021.This study summarized four typical low-carbon agricultural development modes in Shanxi Province，ecological cycle，clean energy，combination of planting and breeding and green science and technology.In order to provide reference for the high quality development of low carbon agriculture in Shanxi Province，three suggestions were put forward,vigorously developing organic dry farming agriculture，optimizing agricultural production mode and developing agricultural carbon trading market.

References:

［1］范振浩,邢巍巍,卜元卿，等.江苏省种植业碳排放的测算及达峰分析［J］.水土保持学报,2023,37(5):78-85.［2］任洪杰,李辉尚,冯祎宇.基于时空视角的广东省农业碳排放动态演化特征及发展趋势研究［J］.中国生态农业学报(中英文),2023,31(8):1287-1300.［3］杨雪,王永平,王静.数字乡村发展对农业碳排放强度的影响效应及作用机制检验［J］.统计与决策,2023,39(11):66-71.［4］邓荣荣,肖湘涛,刘凡璠.公平和效率双重视角下中国粮食主产区农业碳排放研究［J］.调研世界,2023(6):14-25.［5］徐玥,王辉,韩秋凤.中国农业净碳效应与农业经济发展的时空耦合规律研究［J］.新疆农垦经济,2023(7):1-12.［6］吴嘉莘,杨红娟.农业净碳汇测算方法研究综述［J］.农业经济,2020(10):29-31.［7］毕文泰,李宗泽,陈素云.“双碳” 目标下农业碳汇交易与粮食主产区利益补偿机制研究［J］.价格理论与实践,2023(1):161-164,204.［8］王娜.河南省低碳农业发展水平及其评价［J］.中国农业资源与区划,2018,39(2):123-127.［9］邓悦,崔瑜,卢玮楠,等.市域尺度下中国农业低碳发展水平空间异质性及影响因素:来自种植业的检验［J］.长江流域资源与环境,2021,30(1):147-159.［10］何可,李凡略,张俊飚,等.长江经济带农业绿色发展水平及区域差异分析［J］.华中农业大学学报,2021,40(3):43-51.［11］申云,洪程程.数字普惠金融与农业绿色低碳发展:水平测度和机制检验［J］.金融理论与实践,2023(1):45-60.［12］王树芬,高冠龙,李伟，等.2000—2020年山西省农业碳排放时空特征及趋势预测［J］.农业环境科学学报,2023,42(08):1882-1892.［13］赵晓强,张元庆.山西省农业温室气体排放探析［J］.中国农业资源与区划,2019,40(8):38-44.［14］杨果,李扬杰,张莉.基于分享经济的低碳农业发展模式及对策研究［J］.生态经济,2022,38(12):97-103,110.［15］冉锦成,苏洋,胡金凤,等.新疆农业碳排放时空特征、峰值预测及影响因素研究［J］.中国农业资源与区划,2017,38(8):16-24.［16］张瑞玲.山西省农业碳排放的测度及影响因素研究［D］.太原:山西财经大学,2019.［17］李孝忠,李佳辰,李东.低碳经济视域下黑龙江省农业现代化水平综合评价［J］.农业经济与管理,2020(6):33-42.［18］张莹.吉林省乡村振兴与农业绿色高质量发展的耦合协调研究［J］.北方园艺,2023(20):136-146.［19］洪名勇,龙娇,卓雯君.我国农业生产效率及时空特征探析［J］.北方园艺,2023(2):135-144.［20］智慧勇,韩伟宏,李建军,等.方山县肉牛全产业链体系研究［J］.中国牛业科学,2023,49(4):25-31,46.［21］李建军,刘俊俊,杨玉,等.“双碳” 目标下黑龙江省智慧农业绿色发展对策［J］.北方园艺,2023(6):145-151.［22］杨玉莹,毛世平.河北、河南、山东三省农户绿色防控技术采纳行为研究［J］.北方园艺,2022(10):137-143.

Memo

Memo:
-
Last Update: 2024-06-13