本文主要研究内容
作者张天资（2019）在《山东省现代海洋渔业投资风险的灰色评价模型研究》一文中研究指出：现代海洋渔业是集现代科技和综合管理于一体的多层次、多结构、多目标的战略性新兴产业,目前山东省加大对现代海洋渔业的投资力度,对于发展“蓝色经济”和实现新旧动能转换具有重要意义。但现代海洋渔业作为新兴产业风险性较高,如果没有一套完整有效地投资风险评价体系,难以预估投资现代海洋渔业产业可能存在的风险或代价,因此现代海洋渔业投资风险问题引起了政府、企业以及学术界的重视。本文在前人的研究基础上,主要基于灰色关联分析法和灰色-层次分析法构建山东省现代海洋渔业投资风险灰色评价体系,并得出结论。本文的研究目标是对山东省现代海洋渔业投资风险进行整体的评估,建立投资风险的灰色评价机制。首先,通过梳理相关文献,发现针对现代海洋渔业投资风险的评价方法单一,评价指标主要包括系统性风险和非系统性风险。此外,在研究综述的基础上,对投资风险评价机制和灰色系统理论进行基础分析,并选用灰色-层次分析法作为评价模型。其次,研究分析山东省现代海洋渔业投资风险的发展现状,包括系统性风险、非系统性风险和投资收益三个方面,研究发现渔业投资活动受到汇率、利率、购买力水平、固定资产投资、财政补助等影响,还包括渔业补贴力度小、渔业贷款难度大和渔业灾情造成的经济损失较重等制约因素。再次,选择表示系统性风险、非系统性风险和投资收益的24项指标,采用描述性统计和灰色关联分析模型,对评价指标进行分析,得出2012年-2017年评价指标的灰色关联度基本在0.85以上,说明选取的指标可以作为分析山东省渔业投资风险的评价指标。最后,在指标体系构建完成的基础上,建立灰色-层次评价模型,将2012年至2017年6年的数据导入模型,研究发现三类主因素风险指标的权重分布均衡,投资风险主要包括渔业财政补助和渔业贷款政策、渔业环境、技术水平、渔企财务状况、渔业产业结构和固定资产投资等方面,利用灰色—层次分析法进行评价,为风险防控找准方向。研究结论主要有三点:(1)系统性风险的各项指标中,权重较高的是政策风险和环境风险。一方面,财政补助不足和渔业贷款力度不够,由此更强调转变财政支农方式、创新渔业金融支持模式的重要性。另一方面,渔业环境污染程度较重,应当健全渔业环境保护机制。(2)非系统性风险的各项指标中,技术风险和财务风险的权重较高。一方面,渔企在技术的“模仿创新”过程中普遍存在同质化问题。另一方面,在财务风险指标中,负债水平、盈利能力和变现能力指标权重较高。因此,要实现渔业链条设计,推动渔业供应链金融发展,提高渔业企业自主创新能力和科技竞争力。(3)通过指标权重的测算,投资收益主要考虑渔业产业结构和渔业固定资产投资两个方面。因此,应当加快产业融合,开展多样化的渔业固定资产投资形式。
Abstract
xian dai hai xiang yu ye shi ji xian dai ke ji he zeng ge guan li yu yi ti de duo ceng ci 、duo jie gou 、duo mu biao de zhan lve xing xin xing chan ye ,mu qian shan dong sheng jia da dui xian dai hai xiang yu ye de tou zi li du ,dui yu fa zhan “lan se jing ji ”he shi xian xin jiu dong neng zhuai huan ju you chong yao yi yi 。dan xian dai hai xiang yu ye zuo wei xin xing chan ye feng xian xing jiao gao ,ru guo mei you yi tao wan zheng you xiao de tou zi feng xian ping jia ti ji ,nan yi yu gu tou zi xian dai hai xiang yu ye chan ye ke neng cun zai de feng xian huo dai jia ,yin ci xian dai hai xiang yu ye tou zi feng xian wen ti yin qi le zheng fu 、qi ye yi ji xue shu jie de chong shi 。ben wen zai qian ren de yan jiu ji chu shang ,zhu yao ji yu hui se guan lian fen xi fa he hui se -ceng ci fen xi fa gou jian shan dong sheng xian dai hai xiang yu ye tou zi feng xian hui se ping jia ti ji ,bing de chu jie lun 。ben wen de yan jiu mu biao shi dui shan dong sheng xian dai hai xiang yu ye tou zi feng xian jin hang zheng ti de ping gu ,jian li tou zi feng xian de hui se ping jia ji zhi 。shou xian ,tong guo shu li xiang guan wen suo ,fa xian zhen dui xian dai hai xiang yu ye tou zi feng xian de ping jia fang fa chan yi ,ping jia zhi biao zhu yao bao gua ji tong xing feng xian he fei ji tong xing feng xian 。ci wai ,zai yan jiu zeng shu de ji chu shang ,dui tou zi feng xian ping jia ji zhi he hui se ji tong li lun jin hang ji chu fen xi ,bing shua yong hui se -ceng ci fen xi fa zuo wei ping jia mo xing 。ji ci ,yan jiu fen xi shan dong sheng xian dai hai xiang yu ye tou zi feng xian de fa zhan xian zhuang ,bao gua ji tong xing feng xian 、fei ji tong xing feng xian he tou zi shou yi san ge fang mian ,yan jiu fa xian yu ye tou zi huo dong shou dao hui lv 、li lv 、gou mai li shui ping 、gu ding zi chan tou zi 、cai zheng bu zhu deng ying xiang ,hai bao gua yu ye bu tie li du xiao 、yu ye dai kuan nan du da he yu ye zai qing zao cheng de jing ji sun shi jiao chong deng zhi yao yin su 。zai ci ,shua ze biao shi ji tong xing feng xian 、fei ji tong xing feng xian he tou zi shou yi de 24xiang zhi biao ,cai yong miao shu xing tong ji he hui se guan lian fen xi mo xing ,dui ping jia zhi biao jin hang fen xi ,de chu 2012nian -2017nian ping jia zhi biao de hui se guan lian du ji ben zai 0.85yi shang ,shui ming shua qu de zhi biao ke yi zuo wei fen xi shan dong sheng yu ye tou zi feng xian de ping jia zhi biao 。zui hou ,zai zhi biao ti ji gou jian wan cheng de ji chu shang ,jian li hui se -ceng ci ping jia mo xing ,jiang 2012nian zhi 2017nian 6nian de shu ju dao ru mo xing ,yan jiu fa xian san lei zhu yin su feng xian zhi biao de quan chong fen bu jun heng ,tou zi feng xian zhu yao bao gua yu ye cai zheng bu zhu he yu ye dai kuan zheng ce 、yu ye huan jing 、ji shu shui ping 、yu qi cai wu zhuang kuang 、yu ye chan ye jie gou he gu ding zi chan tou zi deng fang mian ,li yong hui se —ceng ci fen xi fa jin hang ping jia ,wei feng xian fang kong zhao zhun fang xiang 。yan jiu jie lun zhu yao you san dian :(1)ji tong xing feng xian de ge xiang zhi biao zhong ,quan chong jiao gao de shi zheng ce feng xian he huan jing feng xian 。yi fang mian ,cai zheng bu zhu bu zu he yu ye dai kuan li du bu gou ,you ci geng jiang diao zhuai bian cai zheng zhi nong fang shi 、chuang xin yu ye jin rong zhi chi mo shi de chong yao xing 。ling yi fang mian ,yu ye huan jing wu ran cheng du jiao chong ,ying dang jian quan yu ye huan jing bao hu ji zhi 。(2)fei ji tong xing feng xian de ge xiang zhi biao zhong ,ji shu feng xian he cai wu feng xian de quan chong jiao gao 。yi fang mian ,yu qi zai ji shu de “mo fang chuang xin ”guo cheng zhong pu bian cun zai tong zhi hua wen ti 。ling yi fang mian ,zai cai wu feng xian zhi biao zhong ,fu zhai shui ping 、ying li neng li he bian xian neng li zhi biao quan chong jiao gao 。yin ci ,yao shi xian yu ye lian tiao she ji ,tui dong yu ye gong ying lian jin rong fa zhan ,di gao yu ye qi ye zi zhu chuang xin neng li he ke ji jing zheng li 。(3)tong guo zhi biao quan chong de ce suan ,tou zi shou yi zhu yao kao lv yu ye chan ye jie gou he yu ye gu ding zi chan tou zi liang ge fang mian 。yin ci ,ying dang jia kuai chan ye rong ge ,kai zhan duo yang hua de yu ye gu ding zi chan tou zi xing shi 。
论文参考文献
论文详细介绍
论文作者分别是来自曲阜师范大学的张天资，发表于刊物曲阜师范大学2019-07-17论文，是一篇关于现代海洋渔业论文,投资风险评价论文,灰色关联分析法论文,灰色层次分析法论文,曲阜师范大学2019-07-17论文的文章。本文可供学术参考使用，各位学者可以免费参考阅读下载，文章观点不代表本站观点，资料来自曲阜师范大学2019-07-17论文网站，若本站收录的文献无意侵犯了您的著作版权，请联系我们删除。
标签：现代海洋渔业论文; 投资风险评价论文; 灰色关联分析法论文; 灰色层次分析法论文; 曲阜师范大学2019-07-17论文;