海南省休闲渔业空间分布及影响因素分析
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S937.0

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上海市海洋渔业科学与技术专业建设项目(B1-5002-17-0001)


Spatial distribution of recreational fishery in Hainan province and its influence factors
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    摘要:

    科学合理的企业空间布局有利于休闲渔业经营单位减少资源调配成本,发挥区位优势,实现效益最大化。本研究以海南省799个休闲渔业经营单位为研究对象,综合运用最近邻指数、变异系数、核密度分析法、聚类和异常值分析法,借助ArcGIS空间分析工具,从分布形态、分布均衡程度、分布密度等3个维度对海南省休闲渔业经营单位的空间分布特征进行分析,并对其空间分布特征的影响因素进行探讨。结果表明:海南省休闲渔业经营单位整体上呈现集聚型的分布形态,集聚程度由高到低排序依次是琼北区、琼南区、琼西区、琼东区、琼中区;海南省休闲渔业经营单位的空间分布密度具有显著差异性,形成南北两极,零星集聚,沿海环绕内陆的密度特征,密度梯度自沿海向内陆呈现4个等级的递减差度;海南省休闲渔业经营单位的空间分布受交通、市场、景区区位因素的影响显著,符合“沿路”、“环城”、“傍景”的分布规律;同时,人口规模和经济水平也在一定程度上影响休闲渔业经营单位的空间分布。研究结果可为优化海南省休闲渔业企业选址,提高企业经营效率提供科学依据。

    Abstract:

    Scientific and reasonable enterprise spatial layout is conducive to recreational fishery business units to reduce resource allocation costs and give full play to regional advantages. Taking 799 recreational fishery business units in Hainan province as the research object, the spatial distribution characteristics of recreational fishery business units in Hainan province were analyzed from the three dimensions of distribution form, distribution equilibrium degree and distribution density by nearest neighbor index, coefficient of variation and kernel density analysis, and the influencing factors of spatial distribution were explored using clustering and outlier analysis and vector data buffer method. The results showed that: the distribution pattern of recreational fishery business units in Hainan province is agglomeration type, and the order of agglomeration degree from high to low is Qiongbei district, Qiongnan district, Qiongxi District, Qiongdong district and Qiongzhong district. the spatial distribution density of the recreational fishery business units showed significant differences, forming the density characteristics of north and south poles, sporadic agglomeration and coastal surrounding inland; the density gradient presented four grades of decreasing difference from coastal to inland. the spatial distribution of recreational fishery business units in Hainan province was largely affected by resources of transport, market and tourist, which were mainly located near the scenic spots, around the cities and along the traffic trunk roads. Furthermore, the population size and economic level also partly affected the spatial distribution of recreational fishery business units. The research results can provide a scientific basis for optimizing the location selection and improving the operation efficiency of recreational fishery business units in Hainan province.

    参考文献
    [1] 赵奇蕾,陈新军,韩博.国际休闲渔业研究进展[J].上海海洋大学学报, 2020, 29(2):295-304. ZHAO Q L, CHEN XJ, HAN B. Review on the research of recreational fisheries in the world[J]. Journal of Shanghai Ocean University, 2020, 29(2):295-304.
    [2] 海南省发展和改革委员会.海南省发展和改革委员会关于印发《海南省休闲渔业发展规划(20192025年)》的通知[EB/OL].(2019-09-11)[2021-07-28].http://plan.hainan.gov.cn/sfgw/0400/201909/59518bef3c684c33a3d98dd86a47c86d.shtml. Hainan Provincial Development and Reform Commission.Notice of the Hainan Provincial Development and Reform Commission on the issuance of the"Hainan provincial recreational fishery development plan (2019-2025)"[EB/OL].(2019-09-11)[2021-07-28].http://plan.hainan.gov.cn/sfgw/0400/201909/59518bef3c684c33a3d98dd86a47c86d.shtml.
    [3] 罗霞,陈雪怡.海南休闲渔业蓄势谋突破[EB/OL].(2019-08-13)[2021-11-13].https://www.hainan.gov.cn/hainan/5309/201908/f6ffcbd1db434d47a251203e0efca697.shtml. LUO X, CHEN X Y. Hainan's recreational fishery is poised for a breakthrough[EB/OL].(2019-08-13)[2021-11-13].https://www.hainan.gov.cn/hainan/5309/201908/f6ffcbd1db434d47a251203e0efca697.shtml.
    [4] ROBERTS A, MUNDAY M, ROCHE N, et al. Assessing the contribution of recreational sea angling to the English economy[J]. Marine Policy, 2017, 83:146-152.
    [5] KIM D H, SEUNG C K, SEO Y I. Multi-regional economic impacts of recreational fisheries:analysis of small sea ranch in Gyeong-Nam Province, Korea[J]. Marine Policy, 2017, 84:90-98.
    [6] PITA P, ARTETXE I, DIOGO H, et al. Research and management priorities for Atlantic marine recreational fisheries in southern Europe[J]. Marine Policy, 2017, 86:1-8.
    [7] IHDE T F, WILBERG M J, LOEWENSTEINER D A, et al. The increasing importance of marine recreational fishing in the US:challenges for management[J]. Fisheries Research, 2011, 108(2/3):268-276.
    [8] 张震.基于海洋牧场建设的休闲渔业开发研究[D].青岛:中国海洋大学, 2015. ZHANG Z. Research on the development of recreationalfishery based on the construction of marineranching[D]. Qingdao:Ocean University of China, 2015.
    [9] 张广海,卢飞.山东省休闲渔业区(点)分布特征与影响因素研究[J].中国渔业经济, 2018, 36(4):29-37. ZHANG G H, LU F. Study on distribution characteristics and influencing factors of recreational fishery scenic (spots) in Shandong Province[J]. Chinese Fisheries Economics, 2018, 36(4):29-37.
    [10] 卢飞,宫红平.中国休闲渔业发展质量的区域特征与空间格局演变[J].资源开发与市场, 2020, 36(10):1092-1099. LU F, GONG H P. Regional characteristics and spatial pattern evolution of the development quality of recreational fishery in China[J]. Resource Development&Market, 2020, 36(10):1092-1099.
    [11] 柴寿升,戴欢丹,王海建.休闲渔业资源的分类及其开发评价研究[J].中国海洋大学学报(社会科学版), 2010(1):32-37. CHAI S S, DAI H D, WANG H J. A study on classification of recreational fishery resources and evaluation of its development[J]. Journal of Ocean University of China (Social Sciences Edition), 2010(1):32-37.
    [12] 于谨凯,莫丹丹.海域承载力视角下海洋渔业空间布局适应性优化研究:基于响应面法的分析[J].中国海洋大学学报(社会科学版), 2015(4):1-7. YU J K, MO D D. The research on adaptive optimization of marine fisheries spatial layout from the perspective of marine carrying capacity:an analysis based on response surface methodology[J]. Journal of Ocean University of China (Social Sciences Edition), 2015(4):1-7.
    [13] 赵奇蕾,陈新军.中国省域休闲渔业竞争力评价与建议[J].水产学报, 2021, 45(8):1415-1429. ZHAO Q L, CHEN X J. Evaluation of on competitiveness of China's provincial recreational fisheriesand our suggestions[J]. Journal of Fisheries of China, 2021, 45(8):1415-1429.
    [14] 赵奇蕾,徐乐俊,陈新军.中国省域休闲渔业综合发展水平评价及障碍因子分析[J].中国农业资源与区划, 2021, 42(9):119-129. ZHAO Q L, XU L J, CHEN X J. Evaluation of comprehensive development level of China's provincial recreational fisheries and analysis of obstacle factors[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2021, 42(9):119-129.
    [15] 汪晓春,熊峰,王振伟,等.基于POI大数据与机器学习的养老设施规划布局:以武汉市为例[J].经济地理, 2021, 41(6):49-56. WANG X C, XIONG F, WANG Z W, et al. Planning and layout of facilities for the elders based on POI and machine learning:a case study of Wuhan[J]. Economic Geography, 2021, 41(6):49-56.
    [16] 吴必虎,唐子颖.旅游吸引物空间结构分析:以中国首批国家4A级旅游区(点)为例[J].人文地理, 2003, 18(1):1-5, 28. WU B H, TANG Z Y. A study on spatial structure of national 4A grade tourism attractions in China[J]. Human Geography, 2003, 18(1):1-5, 28.
    [17] 谢志华,吴必虎.中国资源型景区旅游空间结构研究[J].地理科学, 2008, 28(6):748-753. XIE Z H, WU B H. Tourism spatial structure of resources-based attractions in China[J]. Scientia Geographica Sinica, 2008, 28(6):748-753.
    [18] 李朝奎,卜璞,方军,等.基于改进引力模型的医疗服务可达性评价[J].经济地理, 2018, 38(12):83-88. LI C K, BU P, FANG J, et al. Research on accessibility evaluation of medical service in Xiangtan city based on improved gravity model[J]. Economic Geography, 2018, 38(12):83-88.
    [19] DUYCKAERTS C, GODEFROY G. Voronoi tessellation to study the numerical density and the spatial distribution of neurones[J]. Journal of Chemical Neuroanatomy, 2000, 20(1):83-92
    [20] DEHNAD K. Density estimation for statistics and data analysis[J]. Technometrics, 1987, 29(4):495.
    [21] 高楠,张新成,王琳艳.中国红色旅游网络关注度时空特征及影响因素[J].自然资源学报, 2020, 35(5):1068-1089. GAO N, ZHANG X C, WANG L Y. Spatio-temporal characteristics and influencing factors of Chinese red tourism network attention[J]. Journal of Natural Resources, 2020, 35(5):1068-1089.
    [22] 方百寿,卢飞,宫红平.国内休闲渔业研究综述[J].中国海洋大学学报(社会科学版), 2008(5):20-22. FANG B S, LU F, GONG H P. A review of China's recreational fisheries studies[J]. Journal of Ocean University of China (Social Sciences Edition), 2008(5):20-22.
    [23] 杨威,蔡礼彬,林明裕.中国休闲渔业的空间溢出效应及影响因素研究[J].资源开发与市场, 2021, 37(9):1115-1121. YANG W, CAI L B, LIN M Y. Study on the spatial spillover effect of recreational fisheries in China and its influencing factors[J]. Resource Development&Market, 2021, 37(9):1115-1121.
    [24] 向雁,陈印军,侯艳林,等.河北省休闲农业的空间分布及影响机制[J].地理科学, 2019, 39(11):1806-1813. XIANG Y, CHEN Y J, HOU Y L, et al. Spatial distribution and influencing factors of leisure agriculture:a case from Hebei province[J]. Scientia Geographica Sinica, 2019, 39(11):1806-1813.
    [25] 刘东皇,季小立,朱林.城乡居民边际消费倾向的时序变化及其影响因素分析[J].统计与决策, 2021, 37(14):117-120. LIU D H, JI X L, ZHU L. Time series change of marginal consumption propensity of urban and rural residents and its influencing factors[J]. Statistics and Decision, 2021, 37(14):117-120.
    [26] 任开荣,董继刚.山东省休闲农业资源空间分布及影响因素分析[J].中国农业资源与区划, 2017, 38(10):185-191. REN K R, DONG J G. Spatial distribution and affecting factors of the leisure agricultural resources in Shandong province[J]. Chinese Journal of Agricultural Resources and Regional Planning, 2017, 38(10):185-191.
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陈桂莹,赵奇蕾,祁思琼,陈新军.海南省休闲渔业空间分布及影响因素分析[J].上海海洋大学学报,2022,31(2):542-553.
CHEN Guiying, ZHAO Qilei, QI Siqiong, CHEN Xinjun. Spatial distribution of recreational fishery in Hainan province and its influence factors[J]. Journal of Shanghai Ocean University,2022,31(2):542-553.

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  • 收稿日期:2021-10-07
  • 最后修改日期:2021-12-11
  • 录用日期:2022-02-18
  • 在线发布日期: 2022-03-29
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