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
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出版日期 | 2022-07-14 |
卷号 | 12期号:1页码:12 |
ISSN号 | 2045-2322 |
DOI | 10.1038/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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