2019
DOI: 10.1111/grow.12320
|View full text |Cite
|
Sign up to set email alerts
|

Spatial–temporal evolution of the port–hinterland relationship: A case study of the Midstream Yangtze River, China

Abstract: Most scientific attention on port studies centers on deep sea ports, especially container ports. In this paper, in contrast, attention is focused on the spatial–temporal development of inland waterway ports on the Midstream Yangtze River from 2001 to 2013. The aim of this study is to assess two relevant and complementary questions of the hinterland evolution: its geographical extent and the coordination relationship with the inland port. To conduct the study, it was necessary to first identify the boundaries o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
9

Relationship

2
7

Authors

Journals

citations
Cited by 14 publications
(4 citation statements)
references
References 47 publications
0
4
0
Order By: Relevance
“…From the perspective of development economics, the development of the hinterland economy is uneven at different stages, industries, and regions [7][8]. The role of ports has both positive and negative effects, such as promoting regional economic development through ports.…”
Section: Related Workmentioning
confidence: 99%
“…From the perspective of development economics, the development of the hinterland economy is uneven at different stages, industries, and regions [7][8]. The role of ports has both positive and negative effects, such as promoting regional economic development through ports.…”
Section: Related Workmentioning
confidence: 99%
“…Principal component analysis (PCA) is one of the most common methods for estimating pattern coefficients. It provides a mathematical solution to make the unobservable components expressed as functions of observable variables [39], which successfully forms a comprehensive parameter to represent a variety of variables [31,25]. In this paper, we used the PCA of SPSS 20.0 to calculate the influence strength of provinces and ports.…”
Section: Calculation Of Model Parametersmentioning
confidence: 99%
“…With the undertaking of manufacturing transfers from the eastern coastal regions, the CYRM has been in the stage of the rapid development of industrialization (He, Sun, Gao, & Lau, 2019) and has become one of the most crucial manufacturing bases in China. During this period, PS have begun to separate from the manufacturing, and specialized division of labor promotes the PS rapid development, with an average annual growth rate of nearly 20% from 2000 to 2014.…”
Section: Data Collection and City-network Constructionmentioning
confidence: 99%