Matches in SemOpenAlex for { <https://semopenalex.org/work/W2382478726> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2382478726 abstract "With the support of Geographic Information System(GIS),we aim to present andanalyze spatial difference of agricultural productivity in China at county level in this paper.First,we calculate agricultural land productivity,which is composed of two indicators,by using data of2014 counties,including grain production,labor,agricultural added value and so on.By employingGIS,spatial attributes are applied to agricultural labor productivity,which indicates that everycounty possesses two unique indicators.Based on previously constructed database,we integratetwo indicators into agricultural labor productivity,which are sorted into three categories by theirvalue and simultaneously display and map the spatial distribution within the GIS system.Furthermore,these differences are analyzed with specific data on agricultural input,such asmechanical power and fertilizer.Similarly,we calculate agricultural land productivity at countylevel,divide them into three categories and obtain the spatial difference in China.The resultsindicate that the spatial difference of agriculture productivity in China is distinct.There are 229counties with high agricultural labor productivity,which are mainly located in Sanjiang plain,thepiedmont plain of Yanshan and Taihang Mountain,Jiaodong Peninsula,Hebei-Shandong-Henanlower plain,Dongtinghu plain,eastern part of Jianghuai plain,western part of Fujian province,andmost part of Xinjiang.The high agricultural labor productivity is due to high agriculturalmechanization,as well as high level of multiple-cropping index.There are 201 counties with lowagricultural labor productivity,which are distributed in Losses plateau,Sichuan and Yunnanplateau,Qingling and Daba mountain area,Inner Magnolia and the area long the Great Wall,southern part of Guangdong,Western part of Yunnan,and southern part of Tibet.It can be indicatedfrom the results that China should enhance agricultural investment in these areas to change the pooragricultural resource and low agricultural input.The number of counties with high agricultural landproductivity is 197,most of which are located in Jiang-Han plain,Dongtinghu plain,Poyanghuplain,Su-Wan plain,and Yangtze River delta,where level of agricultural input is high and croppingstructure decides the high productivity.By contrast,277 counties with low agricultural landproductivity are clustered in western part of Songnen plain,Sanjiang plain,eastern part of InnerMagnolia,Losses plateau,Qingling and Daba mountain area,Sichuan and Yunnan plateau.In theseareas,low land productivity is accompanied by poor agricultural facilities and low agriculturalinput." @default.
- W2382478726 created "2016-06-24" @default.
- W2382478726 creator A5035281991 @default.
- W2382478726 date "2009-01-01" @default.
- W2382478726 modified "2023-09-26" @default.
- W2382478726 title "Spatial Difference of Agricultural Productivity in China at County Level" @default.
- W2382478726 hasPublicationYear "2009" @default.
- W2382478726 type Work @default.
- W2382478726 sameAs 2382478726 @default.
- W2382478726 citedByCount "0" @default.
- W2382478726 crossrefType "journal-article" @default.
- W2382478726 hasAuthorship W2382478726A5035281991 @default.
- W2382478726 hasConcept C100970517 @default.
- W2382478726 hasConcept C118518473 @default.
- W2382478726 hasConcept C128383755 @default.
- W2382478726 hasConcept C13558536 @default.
- W2382478726 hasConcept C159620131 @default.
- W2382478726 hasConcept C162324750 @default.
- W2382478726 hasConcept C166957645 @default.
- W2382478726 hasConcept C18903297 @default.
- W2382478726 hasConcept C191935318 @default.
- W2382478726 hasConcept C204983608 @default.
- W2382478726 hasConcept C205649164 @default.
- W2382478726 hasConcept C2776026763 @default.
- W2382478726 hasConcept C2777016058 @default.
- W2382478726 hasConcept C41856607 @default.
- W2382478726 hasConcept C48824518 @default.
- W2382478726 hasConcept C502990516 @default.
- W2382478726 hasConcept C50522688 @default.
- W2382478726 hasConcept C58640448 @default.
- W2382478726 hasConcept C62649853 @default.
- W2382478726 hasConcept C67268981 @default.
- W2382478726 hasConcept C67715294 @default.
- W2382478726 hasConcept C86803240 @default.
- W2382478726 hasConceptScore W2382478726C100970517 @default.
- W2382478726 hasConceptScore W2382478726C118518473 @default.
- W2382478726 hasConceptScore W2382478726C128383755 @default.
- W2382478726 hasConceptScore W2382478726C13558536 @default.
- W2382478726 hasConceptScore W2382478726C159620131 @default.
- W2382478726 hasConceptScore W2382478726C162324750 @default.
- W2382478726 hasConceptScore W2382478726C166957645 @default.
- W2382478726 hasConceptScore W2382478726C18903297 @default.
- W2382478726 hasConceptScore W2382478726C191935318 @default.
- W2382478726 hasConceptScore W2382478726C204983608 @default.
- W2382478726 hasConceptScore W2382478726C205649164 @default.
- W2382478726 hasConceptScore W2382478726C2776026763 @default.
- W2382478726 hasConceptScore W2382478726C2777016058 @default.
- W2382478726 hasConceptScore W2382478726C41856607 @default.
- W2382478726 hasConceptScore W2382478726C48824518 @default.
- W2382478726 hasConceptScore W2382478726C502990516 @default.
- W2382478726 hasConceptScore W2382478726C50522688 @default.
- W2382478726 hasConceptScore W2382478726C58640448 @default.
- W2382478726 hasConceptScore W2382478726C62649853 @default.
- W2382478726 hasConceptScore W2382478726C67268981 @default.
- W2382478726 hasConceptScore W2382478726C67715294 @default.
- W2382478726 hasConceptScore W2382478726C86803240 @default.
- W2382478726 hasLocation W23824787261 @default.
- W2382478726 hasOpenAccess W2382478726 @default.
- W2382478726 hasPrimaryLocation W23824787261 @default.
- W2382478726 hasRelatedWork W1512025005 @default.
- W2382478726 hasRelatedWork W1607083410 @default.
- W2382478726 hasRelatedWork W2148639932 @default.
- W2382478726 hasRelatedWork W2228192506 @default.
- W2382478726 hasRelatedWork W2356426098 @default.
- W2382478726 hasRelatedWork W2357924807 @default.
- W2382478726 hasRelatedWork W2370061123 @default.
- W2382478726 hasRelatedWork W2896334055 @default.
- W2382478726 hasRelatedWork W2961819143 @default.
- W2382478726 hasRelatedWork W2998291253 @default.
- W2382478726 hasRelatedWork W2999446420 @default.
- W2382478726 hasRelatedWork W3087209376 @default.
- W2382478726 hasRelatedWork W3141545813 @default.
- W2382478726 hasRelatedWork W3142008150 @default.
- W2382478726 hasRelatedWork W3142555385 @default.
- W2382478726 hasRelatedWork W3146953936 @default.
- W2382478726 hasRelatedWork W3151143110 @default.
- W2382478726 hasRelatedWork W3158827607 @default.
- W2382478726 hasRelatedWork W3201794797 @default.
- W2382478726 hasRelatedWork W2625325587 @default.
- W2382478726 isParatext "false" @default.
- W2382478726 isRetracted "false" @default.
- W2382478726 magId "2382478726" @default.
- W2382478726 workType "article" @default.