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Spatial Differences of Fruits and Vegetables Field Pre-cooling and Production Agglomeration in Xinjiang

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2020年06
Page:
149-159
Research Field:
Publishing date:

Info

Title:
Spatial Differences of Fruits and Vegetables Field Pre-cooling and Production Agglomeration in Xinjiang
Author(s):
WU Ting12LI Hong1ZHAN Jijuan3
(1.School of Economics and Trade,Xinjiang Agricultural University,Urumqi,Xinjiang 830052;2.Xinjiang Agricultural Vocational Technical College,Changji,Xinjiang 831100;3.School of Business Administration,Xinjiang University of Finance & Economics,Urumqi,Xinjiang 830052)
Keywords:
fruits and vegetablesfield pre-coolingproduction agglomerationspatial differences
PACS:
-
DOI:
10.11937/bfyy.20193108
Abstract:
The empirical analysis of spatial differences between fruit-and-vegetable production and field pre-cooling was based on the method of Exploratory Spatial Data Analysis by using the output data and quantity of postharvest fresh-keeping equipments in Xinjiang.The global distribution of vegetables and melons production had significant characteristics of spatial concentration but with different agglomeration areas respectively.On the contrary,field pre-cooling had no remarkable agglomeration areas with low developing level.Moran′s I statistics showed strong evidence that spatial autocorrelation existing in the vegetables and melons production,but random on field pre-cooling with no obvious spatial correlation.Further local analys about spatial correlation mode and space-time evolution indicated that distribution of vegetables changed smaller than melons,which trended to expand.Urumqi and Changji districts were cluster areas of vegetables,while Turpan and Hami were that of melons.Kashgar Prefecture was the common agglomeration area of vegetables and melons.Finally,policy suggestions would be given to solve ‘the first one kilometer’ problems of fresh agricultural product accordingly.

References:

[1]刘京.产地预冷:农产品“最先一公里”的重要保障[J].物流技术与应用,2017(S1):14-16.[2]汪旭辉,张其林.基于物联网的生鲜农产品冷链物流体系构建:框架、机理与路径[J].南京农业大学学报(社会科学版),2016(1):31-41.[3]汪旭辉,杜航.基于物联网采纳的生鲜农产品冷链物流决策[J].系统工程,2016(6):89-97.[4]LIDDELL S,BAILEY D V,WEN X C.Market opportunities and threats to the U.S.pork industry posed by traceability systems[J].International Food & Agribusiness Management Review,2001(3):287-302.[5]HOBBS J,BAILEY D V.Traceability in the Canadian red meat sector:Do consumers care?〖KG-*3〗[J].Canadian Journal of Agricultural Economics,2005(1):47-65.[6]AIELLO G,SCALIA G L.Simulation analysis of cold chain performance based on time-temperature data[J].Production Planning & Control,2012(6):468-476.[7]冯颖,余云龙,张炎治,等.TPL服务商参与决策的生鲜农产品三级供应链协调机制[J].管理工程学报,2015(4):213-221.[8]刘浩.生鲜农产品冷链物流的现状及发展对策[J].中国农业资源与区划,2016(3):184-186,232.[9]高敏.我国果蔬批发市场冷链流通影响因素的实证研究:基于对市场商户的实地调查[J].中国流通经济,2016(3):10-17.[10]沈体雁,冯等田,孙铁山.空间计量经济学[M].北京:北京大学出版社,2010.[11]JING N,CAI W X.Analysis on the spatial distribution of logistics industry in the developed East Coast Area in China[J].The Annals of Regional Science,2010,45:331-350.[12]LUC A.Exploring spatial data with GeoDa:A workbook[M].Center for Spatially Integrated Social Science,2005.[13]李波,张吉献.粮食主产区县域城镇化与农村协调发展的时空格局研究:以河南省108个县(县级市)为例[J].中国农业资源与区划,2016(8):52-60.

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Last Update: 2020-05-26