Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28515
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Building and Real Estateen_US
dc.creatorGuo, Sen_US
dc.creatorShen, GQPen_US
dc.date.accessioned2015-07-13T10:33:28Z-
dc.date.available2015-07-13T10:33:28Z-
dc.identifier.issn0013-936Xen_US
dc.identifier.urihttp://hdl.handle.net/10397/28515-
dc.language.isoenen_US
dc.publisherAmerican Chemical Societyen_US
dc.rights© 2014 American Chemical Societyen_US
dc.rightsThis document is the Accepted Manuscript version of a Published Work that appeared in final form in Environmental Science & Technology, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://dx.doi.org/10.1021/es503637f.en_US
dc.rightsEnvironmental Science & Technology is available at https://pubs.acs.org/journal/esthag.en_US
dc.titleMultiregional input-output model for China's farm land and water useen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage403en_US
dc.identifier.epage414en_US
dc.identifier.volume49en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1021/es503637fen_US
dcterms.abstractLand and water are the two main drivers of agricultural production. Pressure on farm land and water resources is increasing in China due to rising food demand. Domestic trade affects China's regional farm land and water use by distributing resources associated with the production of goods and services. This study constructs a multiregional input-output model to simultaneously analyze China's farm land and water uses embodied in consumption and interregional trade. Results show a great similarity for both China's farm land and water endowments. Shandong, Henan, Guangdong, and Yunnan are the most important drivers of farm land and water consumption in China, even though they have relatively few land and water resource endowments. Significant net transfers of embodied farm land and water flows are identified from the central and western areas to the eastern area via interregional trade. Heilongjiang is the largest farm land and water supplier, in contrast to Shanghai as the largest receiver. The results help policy makers to comprehensively understand embodied farm land and water flows in a complex economy network. Improving resource utilization efficiency and reshaping the embodied resource trade nexus should be addressed by considering the transfer of regional responsibilities.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationEnvironmental science & technology, 6 Jan. 2015, v. 49, no. 1, p. 403-414en_US
dcterms.isPartOfEnvironmental science & technologyen_US
dcterms.issued2015-01-06-
dc.identifier.scopus2-s2.0-84924970130-
dc.identifier.eissn1520-5851en_US
dc.identifier.rosgroupid2014002847-
dc.description.ros2014-2015 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0136-n02-
dc.description.pubStatusPublisheden_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
Guo_Multiregional_Input-output_Model.pdfPre-Published version1.53 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

197
Last Week
3
Last month
Citations as of Apr 14, 2024

Downloads

160
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

87
Last Week
0
Last month
0
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

78
Last Week
0
Last month
0
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.