IGSNRR OpenIR
Effect of tourist flow on province-scale food resource spatial allocation in China
Li, Yunyun1,2; Zhou, Bin3; Wang, Ling-en1; Cheng, Shengkui1
2019-12-01
Source PublicationJOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
Volume239Pages:12
Corresponding AuthorWang, Ling-en(wangle@igsnrr.ac.cn)
AbstractThe spatial pattern of food supply and demand is the most direct reflection of the human-land relationship. Under a market economy, the spatial flow of food resources is mainly driven by the consumption demand. With a rapidly increasing tourist population, the driving effect of off-site consumption on the spatial allocation of food resources in China is becoming increasingly significant. For the first time, this study describes the macroscopic spatial coupling relationship between tourism and food. According to the spatial transfer of food consumption demand due to the flow of tourist population, and by using the provincial administrative unit as the spatial unit, the geographical distribution of food resources was quantitatively calculated for 31 provinces, municipalities, and autonomous regions of China. This was achieved by employing multi-source data and the inward and outward resource flow balance. The results show that tourism has changed the spatial distribution pattern of regional food consumption demand in China: (1) The highest food consumption demands transferred in and out by tourism were in Guangxi, Hunan, Chongqing, Liaoning, and Shanxi (inward flow) and Guangdong, Tianjin, Sichuan, Shandong, and Shanghai (outward flow). (2) The total transfer (in and out) of food consumption demand due to tourism population flow was the greatest in Beijing (2.2 million tons/year). Ningxia, Tibet, and Qinghai exhibited the least transfer of total food consumption demand. (3) Between provinces, food consumption demand transfer was the highest from Sichuan to Chongqing (296,000 tons/year). (4) On the regional scale, the greatest net value of food consumption demand was transferred from east China to southwest China (292,200 tons/year). This study provides a reference for decision-makers to improve resource allocation efficiency and optimize patterns of food production and sales in the context of the rapid development of tourism in China. (C) 2019 Elsevier Ltd. All rights reserved.
KeywordFood resources Consumption demand Population flow Tourist Quantitative accounting
DOI10.1016/j.jclepro.2019.117931
WOS KeywordLOCAL FOOD ; WATER ; CONSUMPTION ; SECURITY ; DEMAND ; BASIN
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Project of China[2016YFE0113100] ; Natural Science Foundation of China[41701620] ; Chinese Academy of Sciences Key Deployment[KJZD-EW-G20]
Funding OrganizationNational Key Research and Development Project of China ; Natural Science Foundation of China ; Chinese Academy of Sciences Key Deployment
WOS Research AreaScience & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS SubjectGreen & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS IDWOS:000487237100064
PublisherELSEVIER SCI LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69568
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Ling-en
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, 19A Yuquan Rd, Beijing 100049, Peoples R China
3.Ningbo Univ, Dept Tourism, Ningbo 315211, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Li, Yunyun,Zhou, Bin,Wang, Ling-en,et al. Effect of tourist flow on province-scale food resource spatial allocation in China[J]. JOURNAL OF CLEANER PRODUCTION,2019,239:12.
APA Li, Yunyun,Zhou, Bin,Wang, Ling-en,&Cheng, Shengkui.(2019).Effect of tourist flow on province-scale food resource spatial allocation in China.JOURNAL OF CLEANER PRODUCTION,239,12.
MLA Li, Yunyun,et al."Effect of tourist flow on province-scale food resource spatial allocation in China".JOURNAL OF CLEANER PRODUCTION 239(2019):12.
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