中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatiotemporal characteristics and influencing factors of grain yield at the county level in Shandong Province, China

文献类型:期刊论文

作者He, Huanhuan2; Ding, Rijia2; Tian, Xinpeng1
刊名SCIENTIFIC REPORTS
出版日期2022-07-14
卷号12期号:1页码:12
ISSN号2045-2322
DOI10.1038/s41598-022-14801-x
通讯作者Ding, Rijia(rijiading@126.com)
英文摘要China's food security has always been a high priority issue on the political agenda with rapid urbanization affecting agricultural land, and it is challenged by several factors, such as human activities, social politics and policy. Shandong is an important grain-producing province and the second most populous province in China. In this paper, the spatiotemporal characteristics of grain yield and their potential influencing factors were explored at the county level in Shandong by using panel data over a 19-year period. The location Gini coefficient (L-Gini) and exploratory spatial data analysis (ESDA) were used to study the spatial agglomeration characteristics of grain yield, and spatial regression methods (SRMs) were used to analyse the influencing factors. The results indicated that grain yield increased from 38.3 million metric tons to 53.2 million metric tons in 2000-2018, with a growth rate of approximately 28.0%. The increase in grain yield in Shandong was due to the driving effect of radiation from high-yield counties to surrounding moderate-yield counties. This revealed an upward trend of spatial polarization in Shandong's grain yield. In 2000-2018, the L-Gini and global Moran's I increased from 0.330 to 0.479 and from 0.369 to 0.528, respectively. The number of counties in high-high (HH) and low-low (LL) agglomeration areas increased, and the spatial polarization effect was significant. SRMs analysis showed that irrigation investment and non-grain attention have significant positive and negative effects on grain production, respectively. The spatial relationship between grain yield and its influencing factors was explored to provide a reference for formulating scientific and rational agricultural policies.
WOS关键词URBAN EXPANSION ; FOOD SECURITY ; CONSUMPTION ; PREVALENCE ; FARMLAND
WOS研究方向Science & Technology - Other Topics
语种英语
WOS记录号WOS:000825428500006
资助机构Shandong Provincial Natural Science Foundation, China ; China National Key R&D Program during the 13th Five-year Plan Period
源URL[http://ir.yic.ac.cn/handle/133337/37377]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_海岸带信息集成与综合管理实验室
通讯作者Ding, Rijia
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
2.China Univ Min & Technol Beijing, Sch Management, Beijing 100083, Peoples R China
推荐引用方式
GB/T 7714
He, Huanhuan,Ding, Rijia,Tian, Xinpeng. Spatiotemporal characteristics and influencing factors of grain yield at the county level in Shandong Province, China[J]. SCIENTIFIC REPORTS,2022,12(1):12.
APA He, Huanhuan,Ding, Rijia,&Tian, Xinpeng.(2022).Spatiotemporal characteristics and influencing factors of grain yield at the county level in Shandong Province, China.SCIENTIFIC REPORTS,12(1),12.
MLA He, Huanhuan,et al."Spatiotemporal characteristics and influencing factors of grain yield at the county level in Shandong Province, China".SCIENTIFIC REPORTS 12.1(2022):12.

入库方式: OAI收割

来源:烟台海岸带研究所

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