Spatial distribution and influencing factors of leisure fishery in Zhejiang Province, China
Jiao Wu A , Saiqi Zheng
B * and Yubao Wang 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.
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.
References
Armendáriz, G, Quiroz-Martínez, B, and Alvarez, F (2017). Risk assessment for the Mexican freshwater crayfish: the roles of diversity, endemism and conservation status. Aquatic Conservation: Marine and Freshwater Ecosystems 27, 78–89.| Risk assessment for the Mexican freshwater crayfish: the roles of diversity, endemism and conservation status.Crossref | GoogleScholarGoogle Scholar |
Bai, Y, Chou, L, and Zhang, W (2021). Industrial innovation characteristics and spatial differentiation of smart grid technology in China based on patent mining. Journal of Energy Storage 43, 103289.
| Industrial innovation characteristics and spatial differentiation of smart grid technology in China based on patent mining.Crossref | GoogleScholarGoogle Scholar |
Bedeian, AG, and Mossholder, KW (2000). On the use of the coefficient of variation as a measure of diversity. Organizational Research Methods 3, 285–297.
| On the use of the coefficient of variation as a measure of diversity.Crossref | GoogleScholarGoogle Scholar |
Bertolini, L (2020). From ‘streets for traffic’ to ‘streets for people’: can street experiments transform urban mobility? Transport Reviews 40, 734–753.
| From ‘streets for traffic’ to ‘streets for people’: can street experiments transform urban mobility?Crossref | GoogleScholarGoogle Scholar |
Bradley, D, Merrifield, M, Miller, KM, Lomonico, S, Wilson, JR, and Gleason, MG (2019). Opportunities to improve fisheries management through innovative technology and advanced data systems. Fish and Fisheries 20, 564–583.
| Opportunities to improve fisheries management through innovative technology and advanced data systems.Crossref | GoogleScholarGoogle Scholar |
Chen, G, Zhao, Q, Qi, S, and Chen, X (2022). 海南省休闲渔业空间分布及影响因素分析 [Spatial distribution of recreational fishery in Hainan province and its influence factors.] 上海海洋大学学报 [Journal of Shanghai Ocean University] 31, 542–553.
| 海南省休闲渔业空间分布及影响因素分析 [Spatial distribution of recreational fishery in Hainan province and its influence factors.]Crossref | GoogleScholarGoogle Scholar |
Dong, J, Peng, J, Liu, Y, Qiu, S, and Han, Y (2020). Integrating spatial continuous wavelet transform and kernel density estimation to identify ecological corridors in megacities. Landscape and Urban Planning 199, 103815.
| Integrating spatial continuous wavelet transform and kernel density estimation to identify ecological corridors in megacities.Crossref | GoogleScholarGoogle Scholar |
Feng, S, Lu, Q, Wu, Z, and Guo, Z (2022). The distribution model and spatial structure of market towns in the Pearl River Delta during the Ming, Qing, and Min-Guo periods: a case study of Taishan County. Land 11, 1354.
| The distribution model and spatial structure of market towns in the Pearl River Delta during the Ming, Qing, and Min-Guo periods: a case study of Taishan County.Crossref | GoogleScholarGoogle Scholar |
Gavériaux, L, Laverrière, G, Wang, T, Maslov, N, and Claramunt, C (2019). GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong. Annals of GIS 25, 207–218.
| GIS-based multi-criteria analysis for offshore wind turbine deployment in Hong Kong.Crossref | GoogleScholarGoogle Scholar |
Huang, P, Miao, Q, Sang, G, Zhou, Y, and Jia, M (2021). Research on quantitative method of particle segregation based on axial center nearest neighbor index. Minerals Engineering 161, 106716.
| Research on quantitative method of particle segregation based on axial center nearest neighbor index.Crossref | GoogleScholarGoogle Scholar |
Lin, Y (2020). Coupling analysis of marine ecology and economy: case study of Shanghai, China. Ocean & Coastal Management 195, 105278.
| Coupling analysis of marine ecology and economy: case study of Shanghai, China.Crossref | GoogleScholarGoogle Scholar |
Liu, J, Chen, T, and Chen, Z (2022). Revolution of new energy industry: spatio-temporal dynamics and drivers of technological diffusion in Zhejiang, China. Frontiers in Environmental Science 10, 1058372.
| Revolution of new energy industry: spatio-temporal dynamics and drivers of technological diffusion in Zhejiang, China.Crossref | GoogleScholarGoogle Scholar |
Liu, Y, Han, L, Pei, Z, and Jiang, Y (2023). Evolution of the coupling coordination between the marine economy and urban resilience of major coastal cities in China. Marine Policy 148, 105456.
| Evolution of the coupling coordination between the marine economy and urban resilience of major coastal cities in China.Crossref | GoogleScholarGoogle Scholar |
Low, R, Tekler, ZD, and Cheah, L (2021). An end-to-end point of interest (POI) conflation framework. ISPRS International Journal of Geo-Information 10, 779.
| An end-to-end point of interest (POI) conflation framework.Crossref | GoogleScholarGoogle Scholar |
Peng, D, Yang, Q, Yang, H-J, Liu, H, Zhu, Y, and Mu, Y (2020). Analysis on the relationship between fisheries economic growth and marine environmental pollution in China’s coastal regions. Science of The Total Environment 713, 136641.
| Analysis on the relationship between fisheries economic growth and marine environmental pollution in China’s coastal regions.Crossref | GoogleScholarGoogle Scholar |
Qiu, Y, Wang, E, Bu, Y, and Yu, Y (2021). Valuing recreational fishery attributes, opportunities and associated activities in China from the tourists’ satisfaction perspectives. Marine Policy 131, 104616.
| Valuing recreational fishery attributes, opportunities and associated activities in China from the tourists’ satisfaction perspectives.Crossref | GoogleScholarGoogle Scholar |
Ren, W, Ji, J, Chen, L, and Zhang, Y (2018). Evaluation of China’s marine economic efficiency under environmental constraints – an empirical analysis of China’s eleven coastal regions. Journal of Cleaner Production 184, 806–814.
| Evaluation of China’s marine economic efficiency under environmental constraints – an empirical analysis of China’s eleven coastal regions.Crossref | GoogleScholarGoogle Scholar |
Song H (2022) Evaluation of sustainable development of recreational fisheries. MSc thesis, Shanghai Ocean University, Shanghai, PR China.
Su, C, Wang, C, Wang, Z, Zhang, L, and Tian, Y (2022). Technological innovation evolution and industrial modernization driven by green factors: case of combined heat and power (CHP) industry in Yangtze River Delta, China. Frontiers in Environmental Science 10, 962633.
| Technological innovation evolution and industrial modernization driven by green factors: case of combined heat and power (CHP) industry in Yangtze River Delta, China.Crossref | GoogleScholarGoogle Scholar |
Wang, B, Han, L, and Zhang, H (2021). Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China. PLoS ONE 16, e0259853.
| Analysis on the structure effect of marine fishery total factor productivity under high-quality development in China.Crossref | GoogleScholarGoogle Scholar |
Wu, Y, Li, X, Yu, L, Wang, T, Wang, J, and Liu, T (2022). Review of soil heavy metal pollution in China: spatial distribution, primary sources, and remediation alternatives. Resources, Conservation and Recycling 181, 106261.
| Review of soil heavy metal pollution in China: spatial distribution, primary sources, and remediation alternatives.Crossref | GoogleScholarGoogle Scholar |
Yang, S, Qu, Y, Ma, J, Liu, L, Wu, H, Liu, Q, Gong, Y, Chen, Y, and Wu, Y (2020). Comparison of the concentrations, sources, and distributions of heavy metal(loid)s in agricultural soils of two provinces in the Yangtze River Delta, China. Environmental Pollution 264, 114688.
| Comparison of the concentrations, sources, and distributions of heavy metal(loid)s in agricultural soils of two provinces in the Yangtze River Delta, China.Crossref | GoogleScholarGoogle Scholar |
Yu, D, Wu, L, Regenstein, JM, Jiang, Q, Yang, F, Xu, Y, and Xia, W (2020). Recent advances in quality retention of non-frozen fish and fishery products: a review. Critical Reviews in Food Science and Nutrition 60, 1747–1759.
| Recent advances in quality retention of non-frozen fish and fishery products: a review.Crossref | GoogleScholarGoogle Scholar |
Zhang, H, Kang, M, Shen, L, Wu, J, Li, J, Du, H, Wang, C, Yang, H, Zhou, Q, Liu, Z, Gorfine, H, and Wei, Q (2020). Rapid change in Yangtze fisheries and its implications for global freshwater ecosystem management. Fish and Fisheries 21, 601–620.
| Rapid change in Yangtze fisheries and its implications for global freshwater ecosystem management.Crossref | GoogleScholarGoogle Scholar |
Zhu AF (2022) Research on the coupling coordination of economic, social and ecological benefits of marine fisheries in China. MSc thesis, Shanghai Ocean University, Shanghai, China.
