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Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

Spatial distribution and influencing factors of leisure fishery in Zhejiang Province, China

Jiao Wu A , Saiqi Zheng https://orcid.org/0000-0002-6208-8939 B * and Yubao Wang https://orcid.org/0000-0002-0864-3962 C
+ Author Affiliations
- Author Affiliations

A College of Business, Nantong Institute of Technology, Nantong, PR China.

B School of Finance and Trade, Wenzhou Business College, Wenzhou, PR China.

C Department of Quality-Oriented Education, Nanjing Vocational College of Information Technology, Nanjing, 210023, PR China.

* Correspondence to: zhengmarriott@outlook.com

Handling Editor: Wan Zhanhong

Marine and Freshwater Research - https://doi.org/10.1071/MF22194
Submitted: 16 September 2022  Accepted: 9 January 2023   Published online: 13 February 2023

© 2023 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context: The leisure-fishery (LF) industry is an industry that provides fishing activities for recreation and sports. A well-designed layout of LF can reduce resource allocation costs, give play to regional advantages, and maximise utility.

Aims: This paper aims to provide a spatial evolutionary understanding of the development of leisure fishery, and on this basis provide guidance for the future development of leisure-fishery industry, focusing mainly on Zhejiang, an important coastal province of China.

Methods: ArcGIS spatial analysis tool was used to calculate the nearest-neighbour index, outlier analysis, kernel-density analysis, clustering, and coefficient of variation, to analyse the spatial-distribution characteristics of LF units and influencing factors of the spatial distribution in Zhejiang Province.

Key results: The results showed significant differences in the distribution density of LF units among cities in Zhejiang. Traffic, market, and scenic-spot location significantly affected the distribution of LF units in Zhejiang Province. Furthermore, population and economics also affected the spatial distribution of LF units.

Conclusions: The main influencing factors of LF were closely related to traffic, market, and scenic spots.

Implications: Future policy making should focus on the siphoning effects of infrastructure by achieving more rational transport planning and market incentives.

Keywords: ArcGIS, China, influencing factors, leisure fishery, location selection, market, POI, spatial analysis, traffic.


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