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中国生物工程杂志

CHINA BIOTECHNOLOGY
中国生物工程杂志  2021, Vol. 41 Issue (6): 89-97    DOI: 10.13523/j.cb.2102013
产业发展     
基于灰色综合关联分析法的粤港澳大湾区生物医药产业效益研究*
谭清立1,2,**(),林岱衡1,刘珈瑗1,林兴纯1
1 广东药科大学医药商学院 中山 528400
2 广东省药品监管科学研究基地 中山 528400
Study on the Benefits of Biomedical Industry in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Grey Comprehensive Correlation Analysis
TAN Qing-li1,2,**(),LIN Dai-heng1,LIU Jia-yuan1,LIN Xing-chun1
1 School of Medical Business,Guangdong Pharmaceutical University,Zhongshan 528400,China
2 Guangdong Research Base for Regulatory Science, Zhongshan 528400,China
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摘要:

生物医药产业是中国医药制造业的第三大产业,也是粤港澳大湾区重点扶持的新兴高技术产业之一。透视产业主营业务收入与各类指标的关联情况是进一步指导粤港澳大湾区生物医药产业建设规划的必要之举。而灰色综合关联分析法是探索指标间关联程度的重要工具。通过多种权威途径获得粤港澳大湾区生物医药产业规模以上企业数量、企业孵化器数量、新增专利数、自然科学基金立项投入总额、非自然科学基金立项数量、产学研合作项数量六大指标数据。采用灰色关联分析法,将所得数据进行建模并求解,得出这六大指标与粤港澳大湾区生物医药产业主营业务收入的关联度。结果显示,规模以上企业数量与粤港澳大湾区生物医药产业主营业务收入的关联度最高,其次为自然科学基金立项投入总额,再次为产学研合作项数量,非自然科学基金立项数量位列第四,企业孵化器数量、新增专利数分别位列第五、第六。因此,谋求粤港澳大湾区生物医药产业的进一步发展应着重从提高规模以上企业数量、重视自然科学基金投入、加强政产学研合作3个层面入手。

关键词: 粤港澳大湾区生物医药产业医药制造业灰色关联度分析    
Abstract:

Biomedical industry is the third largest industry in China’s pharmaceutical manufacturing industry and also one of the emerging high-tech industries supported by Guangdong-Hong Kong-Macao Greater Bay Area. It is necessary to further guide the construction planning of biomedical industry in Guangdong-Hong Kong-Macao Greater Bay Area by analyzing the relationship between the main business income and various indicators. The grey comprehensive correlation analysis method is an important tool to explore the correlation degree between indicators. Through various authoritative channels, six index data are obtained, including the number of enterprises above designated size, business incubators, new patents, projects approved by non NSFC, industry university research cooperation projects and the total investment of projects approved by NSFC. The grey relational analysis method is used to model and solve the data and the correlation degree between the six indicators and the main business income of Guangdong-Hong Kong-Macao Greater Bay Area biomedical industry is obtained. The results show that the number of enterprises above designated size has the highest correlation with the main business income of the biomedical industry in Guangdong-Hong Kong-Macao Greater Bay Area, followed by the total investment of NSFC funded projects and the number of industry university research cooperation projects. The number of non NSFC funded projects ranked fourth, the number of business incubators and the number of new patents ranked fifth and sixth, respectively. Therefore, in order to further develop the biomedical industry in Guangdong-Hong Kong-Macao Greater Bay Area, three aspects should be focused on, increasing the number of enterprises above designated size, attaching importance to the investment of NSFC funded projects and strengthening the cooperation of industry.

Key words: The Guangdong-Hong Kong-Macao Greater Bay Area    Biomedicine    Industrial benefits    Grey correlation analysis
收稿日期: 2021-02-09 出版日期: 2021-07-06
ZTFLH:  R95  
基金资助: * 广东省软科学研究计划(2019A101002068);大学生创新创业训练项目(S201910573052)
通讯作者: 谭清立     E-mail: tanql@vip.163.com
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引用本文:

谭清立,林岱衡,刘珈瑗,林兴纯. 基于灰色综合关联分析法的粤港澳大湾区生物医药产业效益研究*[J]. 中国生物工程杂志, 2021, 41(6): 89-97.

TAN Qing-li,LIN Dai-heng,LIU Jia-yuan,LIN Xing-chun. Study on the Benefits of Biomedical Industry in the Guangdong-Hong Kong-Macao Greater Bay Area Based on Grey Comprehensive Correlation Analysis. China Biotechnology, 2021, 41(6): 89-97.

链接本文:

https://manu60.magtech.com.cn/biotech/CN/10.13523/j.cb.2102013        https://manu60.magtech.com.cn/biotech/CN/Y2021/V41/I6/89

X 1(k) X 2(k) X 3(k) X 4(k) X 5(k) X 6(k)
2014年 0.465 0.946 0.622 0.857 0.395 0.618
2015年 0.573 0.913 0.664 0.972 0.863 1.000
2016年 0.741 0.866 0.630 0.720 0.792 0.835
2017年 0.686 0.802 0.784 0.857 0.956 0.669
2018年 0.359 0.942 0.412 0.975 0.333 0.932
表1  因素间关联系数结果
评价项 关联度 排名
X 1(k) 0.565 6
X 2(k) 0.894 1
X 3(k) 0.622 5
X 4(k) 0.876 2
X 5(k) 0.668 4
X 6(k) 0.811 3
表2  关联度排序结果
[1] 徐凯, 孙利华. 我国生物医药产业园区发展现状及存在问题. 中国新药杂志, 2019, 28(20):2440-2446.
Xu K, Sun L H. Development status and problems of biomedical industrial parks in China. Chinese Journal of New Drugs, 2019, 28(20):2440-2446.
[2] 瞿礼萍, 曾洁, 黄倩倩, 等. 我国高校生物医药类专利转化现状研究. 科技管理研究, 2020, 40(14):196-203.
Qu L P, Zeng J, Huang Q Q, et al. Research on the transformation status of biomedical patents in Chinese colleges and universities. Science and Technology Management Research, 2020, 40(14):196-203.
[3] 刘宇, 康健, 邵云飞. 产业共性技术协同创新的三螺旋演进与动力研究:以成德绵生物医药产业的比较为例. 中国科技论坛, 2017(12):83-90.
Liu Y, Kang J, Shao Y F. Triple helix evolution and motive force of industry generic technology collaborative innovation:An example of comparing bio-medical industry among Chengdu, Deyang and Mianyang. Forum on Science and Technology in China, 2017(12):83-90.
[4] 高小宁, 欧光军, 蔡姝莎, 等. 生物医药产业创新效率评价及提升路径研究:以湖北省为例. 科技管理研究, 2018, 38(14):75-80.
Gao X N, Ou G J, Cai S S, et al. Research on evaluation and promotion of the innovation efficiency of biopharmaceutical industry: A case study of Hubei Province. Science and Technology Management Research, 2018, 38(14):75-80.
[5] 尹政清, 白京羽, 林晓锋. 我国各区域生物产业竞争力评价及实证分析. 生物工程学报, 2020, 36(10):2216-2225.
Yin Z Q, Bai J Y, Lin X F. Assessment and empirical analysis of the competitiveness of bioindustry in various regions of China. Chinese Journal of Biotechnology, 2020, 36(10):2216-2225.
[6] 黄怡淳. 广东省知识产权服务业助推生物医药产业发展案例研究. 知识管理论坛, 2017, 2(4):348-352.
Huang Y C. A case study on the promotion of biopharmaceutical industry by the intellectual property service. Knowledge Management Forum, 2017, 2(4):348-352.
[7] 尹政清, 白京羽, 林晓锋. 美国生物医药产业竞争力分析与启示. 中国生物工程杂志, 2020, 40(9):87-94.
Yin Z Q, Bai J Y, Lin X F. Competitiveness analysis and enlightenment of biomedical industry in USA. China Biotechnology, 2020, 40(9):87-94.
[8] 胡鸢雷, 姚卫浩, 濮润, 等. 美国创新创业生态系统中生物技术孵化器的作用. 中国生物工程杂志, 2019, 39(12):103-109.
Hu Y L, Yao W H, Pu R, et al. Bio-tech startup incubation best practice in the United States. China Biotechnology, 2019, 39(12):103-109.
[9] 单菁菁, 张卓群. 粤港澳大湾区融合发展研究现状、问题与对策. 北京工业大学学报(社会科学版), 2020, 20(2):1-8.
Shan J J, Zhang Z Q. Research on the integration and development of the Guangdong-Hong Kong-Macao greater bay area: current situation, problems and countermeasures. Journal of Beijing University of Technology (Social Sciences Edition), 2020, 20(2):1-8.
[10] 曾五一, 苗晓宇, 游家兴. 关于进一步完善我国工业企业统计调查制度的研究. 统计与信息论坛, 2011, 26(4):94-100.
Zeng W Y, Miao X Y, You J X. The further research on improving the system of industrial enterprises survey. Statistics & Information Forum, 2011, 26(4):94-100.
[11] 朱婧, 左洋. 基于事实性数据的广东省专业孵化器发展现状、特点及模式分析. 科技创新发展战略研究, 2019, 3(4):7-13.
Zhu J, Zuo Y. Analysis of development status, characteristics and mode of professional incubators in Guangdong Province based on factual data. Strategy for Innovation and Development of Science and Technology, 2019, 3(4):7-13.
[12] 唐福杰. 促进国家自然科学基金多元化投入的建议. 中国科技论坛, 2020(9):11-12.
Tang F J. Promote the National Natural Science Foundation of diversified investment advice. Forum on Science and Technology in China, 2020(9):11-12.
[13] 谢子远, 吴丽娟. 产业集聚水平与中国工业企业创新效率:基于20个工业行业2000-2012年面板数据的实证研究. 科研管理, 2017, 38(1):91-99.
Xie Z Y, Wu L J. Industrial agglomeration level and innovation efficiency of industrial enterprises:An empirical study based on the panel data of 20 industries from the year 2000 to 2012. Science Research Management, 2017, 38(1):91-99.
[14] 许业友. 广东省生物医药产业集聚水平研究. 华南理工大学学报(社会科学版), 2015, 17(3):21-26.
Xu Y Y. Research on the level of agglomeration of biopharmaceutical industry in Guangdong Province. Journal of South China University of Technology (Social Science Edition), 2015, 17(3):21-26.
[15] 李荣, 张冀新, 胡维丽. 战略性新兴产业创新转化效率及极化效应研究. 科技管理研究, 2018, 38(12):172-177.
Li R, Zhang J X, Hu W L. Research on transformation efficiency and polarization effect of strategic emerging industries. Science and Technology Management Research, 2018, 38(12):172-177.
[16] 雷启振. 基金资助投入与科技论文产出的实证研究:以1987-2010年国家自然科学基金为例. 当代经济, 2015(31):144-149.
Lei Q Z. An empirical study of fund input and output of scientific papers: To 1987-2010 national natural science foundation of China, for example. Contemporary Economics, 2015(31):144-149.
[17] 李红玲. 基于弹性分析的我国民族地区财政科技投入研究. 科技管理研究, 2012, 32(10):37-41.
Li H L. Research on financial input of S & T in minority areas based on elasticity analysis. Science and Technology Management Research, 2012, 32(10):37-41.
[18] 王新华, 刘志华, 左小丽, 等. 科技创新体系中的多元联动机理:以温氏模式为例. 广东农业科学, 2010, 37(12):227-231.
Wang X H, Liu Z H, Zuo X L, et al. Science and technology innovation system of multiple linkage mechanism - to Winchester model as an example. Guangdong Agricultural Sciences, 2010, 37(12):227-231.
[19] 胡汉辉, 周海波. 战略性新兴产业发展陷阱: 表现、成因及预防. 科技进步与对策, 2014, 31(3):61-66.
Hu H H, Zhou H B. The forms, causes and prevention of strategic emerging industries’ trap. Science & Technology Progress and Policy, 2014, 31(3):61-66.
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