An analysis of spatiotemporal patterns in Chinese agricultural productivity between 2004 and 2014

doi:10.1016/j.ecolind.2018.05.073

	An analysis of spatiotemporal patterns in Chinese agricultural productivity between 2004 and 2014
	Jin, Gui 1,2,4; Li, Zhaohua 2,4; Deng, Xiangzheng 1; Yang, Jun 3; Chen, Dongdong 4; Li, Wenqiang 4
刊名	ECOLOGICAL INDICATORS
	2019-10-01
卷号	105 页码:591-600
关键词	Agricultural productivity ESAP Spatiotemporal patterns China
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2018.05.073
通讯作者	Jin, Gui(jingui@hubu.edu.cn)
英文摘要	Understanding spatiotemporal patterns in Chinese agriculture is extremely important for national sustainable development. We apply the Estimation System of Agricultural Productivity (ESAP) model in this study to calculate this variable across China between 2004 and 2014 and further analyze spatiotemporal patterns at the municipal level using Moran's I and Local Indicators of Spatial Association (LISA) indices. The results of this study reveal that input factors have been dynamically embedded within this system and can therefore be utilized to avoid overestimates of agricultural productivity via the ESAP model, while the dependence of productivity on climatic factors also determines inter-annual variability and spatial patterns. The results of this analysis show that average agricultural productivity has tended to decrease spatially from south-to-north and from east-to-west across China, while generally increasing temporally between 2004 and 2014. The data presented in this study reveal a strong positive spatial correlation between values for agricultural productivity in municipal administrative areas, to the extent that identified LISA agglomeration types can mostly be categorized as either "high-high" (HH) or "low-low" (LL).
资助项目	National Natural Science Foundation of China[41501593] ; National Natural Science Foundation of China[41601592] ; National Key Research and Development Program of China[2016YFA0602500] ; Wuhan Soft Science Project[2016040306010208] ; National Natural Science Funds of China for Distinguished Young Scholar Project[71225005]
WOS关键词	CLIMATE-CHANGE ; GRAIN-YIELD ; SPATIAL AUTOCORRELATION ; LAND-USE ; IMPACTS ; CONSEQUENCES ; POLICY ; GROWTH
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000490574200054
资助机构	National Natural Science Foundation of China ; National Key Research and Development Program of China ; Wuhan Soft Science Project ; National Natural Science Funds of China for Distinguished Young Scholar Project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/129672]
专题	中国科学院地理科学与资源研究所
通讯作者	Jin, Gui
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Hubei Prov Key Lab Reg Dev & Environm Response, Wuhan 430062, Hubei, Peoples R China 3.Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China 4.Hubei Univ, Fac Resources & Environm Sci, Wuhan 430062, Hubei, Peoples R China
推荐引用方式 GB/T 7714	Jin, Gui,Li, Zhaohua,Deng, Xiangzheng,et al. An analysis of spatiotemporal patterns in Chinese agricultural productivity between 2004 and 2014[J]. ECOLOGICAL INDICATORS,2019,105:591-600.
APA	Jin, Gui,Li, Zhaohua,Deng, Xiangzheng,Yang, Jun,Chen, Dongdong,&Li, Wenqiang.(2019).An analysis of spatiotemporal patterns in Chinese agricultural productivity between 2004 and 2014.ECOLOGICAL INDICATORS,105,591-600.
MLA	Jin, Gui,et al."An analysis of spatiotemporal patterns in Chinese agricultural productivity between 2004 and 2014".ECOLOGICAL INDICATORS 105(2019):591-600.