Jin-he Zhang

Prof. Jin-he Zhang

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
HHHuan Hu
Huan Hu
JZJin-he Zhang
Jin-he Zhang
CWChang Wang
Chang Wang
PYPeng Yu
Peng Yu
GCGuang Chu
Guang Chu

1 February 2019 in Journal of Environmental Management
Verified
Journal Article
Closed access
CWChang Wang
Chang Wang
JZJin-he Zhang
Jin-he Zhang
JCJingjing Cao
Jingjing Cao
HHHuan Hu
Huan Hu
PYPeng Yu
Peng Yu

1 September 2018 in Waste Management
Verified
Journal Article
Closed access
HHHuan Hu
Huan Hu
JZJin-he Zhang
Jin-he Zhang
GCGuang Chu
Guang Chu
JYJinhua Yang
Jinhua Yang
PYPeng Yu
Peng Yu

1 May 2018 in Science of The Total Environment
Verified
Journal Article
Closed access
YZYu Zhang
Yu Zhang
JZJin-he Zhang
Jin-he Zhang
QTQing Tian
Qing Tian
ZLZe-Hua Liu
Ze-Hua Liu
HZHong-Lei Zhang
Hong-Lei Zhang

1 July 2016 in Science of The Total Environment
Verified
Journal Article
Closed access
YZYu Zhang
Yu Zhang
JZJin-he Zhang
Jin-he Zhang
GTGuorong Tang
Guorong Tang
MCMin Chen
Min Chen
LWLachun Wang
Lachun Wang

13 July 2016 in Tourism Geographies
Verified
Journal Article
Closed access
HPHongsong Peng
Hongsong Peng
JZJin-he Zhang
Jin-he Zhang
ZLZehua Liu
Zehua Liu
LLLin Lu
Lin Lu
LYLu Yang
Lu Yang
In contrast to the extensive research regarding tourist flows on the international, intranational, interregional, intercity, intracity and tourism-spot scales, little attention has been paid to the cross-provincial boundary perspective. In view of the fact that China's provincial administrative boundaries have a long history and a profound influence on the society, culture and economy of neighboring provinces, this study focuses on tourist-flow networks in China that cross ‘provincial’ boundaries. Tourist-flow data from a questionnaire survey and travel-agency-recommended routes were acquired, and the social network analysis method and boundary effect analysis were adopted for the first time to study the cross-boundary tourist flows. Lugu Lake in China was selected for the case study. The spatial distribution and impact factors of cross-boundary tourist flows are discussed, and a scientific basis for future collaborations among cross-boundary tourism destinations is provided. The following conclusions are reached. (1) The spatial structure of cross-boundary tourist-flow networks is complex. There is a core–periphery structure, and each node assumes different roles and functions. (2) Cross-boundary tourist flows are significantly influenced by the boundary-shielding effect, and the properties, direction and extent of the effects are diverse and depend on accessibility, resource endowments, resource heterogeneity and the extent of regional integration. (3) Cross-boundary tourist flows are affected by a boundary-mediating effect, and structural holes play a critical role in the boundary-mediating effect and drive the integration of regional tourism.