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·药事管理·


        基于VAR模型的广东省医药制造业出口贸易关系实证研究                                                                 Δ


                       #
        张宇杰 ,孙圣兰(广东药科大学医药商学院,广州 510006)
              *
        中图分类号 F426;R95          文献标志码 A          文章编号 1001-0408(2021)06-0647-06
        DOI  10.6039/j.issn.1001-0408.2021.06.02

        摘  要   目的:为促进广东省医药制造业出口交货值增加、提高医药制造业出口占比和国际化水平提供参考。方法:选取1998-
        2019年广东省医药制造业数据,建立向量自回归(VAR)模型,通过协整关系检验、格兰杰因果检验、脉冲响应函数、方差分解等实
        证研究探讨广东省医药制造业出口贸易活动(出口交货值)、研发投入(研发经费内部支出)、技术创新(技术改造费用)间的关系。
        结果与结论:通过协整关系检验与格兰杰因果检验可知,广东省医药制造业出口贸易活动与研发投入、技术创新存在稳定的均衡
        关系;技术创新是出口交货值的格兰杰原因,其能够正向促进出口贸易活动的增加,滞后期为2年;出口交货值是研发投入的格兰
        杰原因,其能够促进研发投入的增加,且随着时间的推移影响越来越大;研发投入是技术创新的格兰杰原因,能够促进技术创新的
        增加。通过脉冲响应函数和方差分解可知,广东省医药制造业出口贸易活动、研发投入和技术创新存在相互影响的动态均衡关系。
        出口交货值的变动主要受自身影响较大,技术创新为辅助促进作用(贡献率约为7%)。建议企业应重视技术改造与研发投入,打造高
        技术医药制造产业,充分发挥岭南中医药产品的特色,增强优势出口医药产品的技术竞争力,优化医药产业布局,提升国际竞争力。
        关键词 医药制造业;出口贸易活动;研发投入;技术创新;向量自回归模型


        Empirical Research on Export Trade Relations of Guangdong Pharmaceutical Manufacturing Industry
        Based on VAR Model
        ZHANG Yujie,SUN Shenglan(School of Medical Business,Guangdong Pharmaceutical University,Guangzhou
        510006,China)

        ABSTRACT    OBJECTIVE:To provide reference for increasing the export trade of Guangdong’s pharmaceutical manufacturing
        industry,and improving the proportion of pharmaceutical manufacturing export and internationalization level. METHODS:The data
        of the pharmaceutical manufacturing industry in Guangdong province were collected from 1998 to 2019,and vector autoregressive
       (VAR)model was established. The relationship of export trade activities(export delivery value),R&D investment(R&D internal
        expenditure) and technological innovation (technological transformation cost) of pharmaceutical manufacturing industry in
        Guangdong province were explored empirically through cointegration relationship test,Granger causality test,impulse response
        function and variance decomposition. RESULTS & CONCLUSIONS:Through the cointegration relationship test and Granger
        causality test,it could be seen that there was a stable equilibrium relationship among the export trade activities of Guangdong
        pharmaceutical manufacturing industry,R&D investment and technological innovation. Technological innovation was the Granger
        cause of export delivery value and could positively promotes the increase in export trade activities,with a lag period of 2 years.
        The export delivery value was the Granger reason for R&D investment,which could promote the increase of R&D investment,and
        the influence will become greater and greater over time. R&D investment is the Granger cause of technological innovation,which
        can promotes the increase of technological innovation. Through impulse response function and variance decomposition,it could be
        known that the export trade activities,R&D investment and technological innovation of Guangdong’s pharmaceutical manufacturing
        industry had a dynamic interaction relationship. The change in export delivery value is mainly affected by itself,and technological
        innovation is an auxiliary promotion effect (contribution rate of 7%). It is suggested that enterprises should pay attention to
        technological transformation and R&D investment,build high-tech pharmaceutical manufacturing industry,give full play to the
        characteristics of Lingnan traditional Chinese medicine products, enhance the technological competitiveness of export
                                                           pharmaceutical products,optimize the layout of pharmaceu-
           Δ 基金项目:全国教育科学规划 2019 年度教育部重点课题(No.
        DFA190319);2019年度广东省医学科研基金立项项目(No.A2019325)        tical industry,and enhance international competitiveness.
           *硕士研究生。研究方向:医药卫生、医药卫生企业管理。                      KEYWORDS       Pharmaceutical  manufacturing  industry;
        E-mail:1291002046@qq.com                           Export trade activities; R&D investment; Technological
           # 通信作者:教授,硕士生导师,博士。研究方向:企业管理、企业                 innovation ;Vector autoregressive model
        创新、产业经济。E-mail:sunsl2005@163.com


        中国药房    2021年第32卷第6期                                               China Pharmacy 2021 Vol. 32 No. 6  ·647 ·
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