SNA框架下中国省际R&D资本存量的估算
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摘要
本文立足于R&D资本化核算的最新研究成果,遵循SNA2008的框架体系和核算要求,在详细探讨当期R&D投资、R&D投资价格指数、R&D资产的服务期限和折旧率、初始R&D资本存量等关键参数设定方法的基础上,利用BEA方法估算得到1998—2015年我国省际R&D资本存量,厘清了省际R&D资本存量的核算思路,可适当补充和完善现有R&D资本化核算的理论和方法。结果显示:从全国层面来看,我国R&D资本存量总体上呈现快速增长趋势,但增速逐渐放缓;从地区层面来看,各省份R&D资本存量基本上呈现增长趋势,地区间差距逐渐扩大而地区内差距逐渐缩小,但有可能存在全域收敛,需进一步利用统计指数或计量方法进行深入探讨。
Based on the latest research findings on the R&D capitalization accounting, within the framework of SNA( 2008),this paper uses BEA approach to estimate China's provincial R&D capital stock from 1998 to 2015 following the study of methodology of defining the various key parameters,such as current R&D investment,R&D investment price index,the service period and depreciation rate of R&D assets and initial R&D capital stock. In the end,the accounting thinking on provincial R&D capital stock has been clarified,which could supplement and improve the theory and methodology on R&D capitalization accounting.The results show that 1) the R&D capital stock at the national level grows rapidly but the growth rate slows down gradually; 2) at the regional level,the R&D capital stock in each province basically shows an upward trend with the widening of the inter-provincial disparity and the narrowing of the intro-provincial disparity of the R&D capital stock,but it is possibly to be converged,which needs to be tested by statistical indexes or econometric models.
Based on the latest research findings on the R&D capitalization accounting, within the framework of SNA( 2008),this paper uses BEA approach to estimate China's provincial R&D capital stock from 1998 to 2015 following the study of methodology of defining the various key parameters,such as current R&D investment,R&D investment price index,the service period and depreciation rate of R&D assets and initial R&D capital stock. In the end,the accounting thinking on provincial R&D capital stock has been clarified,which could supplement and improve the theory and methodology on R&D capitalization accounting.The results show that 1) the R&D capital stock at the national level grows rapidly but the growth rate slows down gradually; 2) at the regional level,the R&D capital stock in each province basically shows an upward trend with the widening of the inter-provincial disparity and the narrowing of the intro-provincial disparity of the R&D capital stock,but it is possibly to be converged,which needs to be tested by statistical indexes or econometric models.
引文
[1]高敏雪.研发资本化与GDP核算调整的整体认识与建议[J].统计研究,2017(4):3-14.
[2]杨林涛,韩兆洲,王昭颖.多视角下R&D资本化测算方法比较与应用[J].数量经济技术经济研究,2015(12):90-106.
[3]江永宏,孙凤娥.研发支出资本化核算及对GDP和主要变量的影响[J].统计研究,2016(4):8-17.
[4]江永宏,孙凤娥.中国R&D资本存量测算:1952-2014年[J].数量经济技术经济研究,2016(7):112-129.
[5]吴延兵.R&D存量、知识函数与生产效率[J].经济学季刊,2006(3):1129-1156.
[6]王亚菲,王春云.中国行业层面研究与试验发展资本存量核算[J].数量经济技术经济研究,2018(1):94-110.
[7]王孟欣.我国区域R&D资本存量的测算[J].江苏大学学报(社会科学版),2011(1):84-88.
[8]陈宇峰,朱荣军.中国区域R&D资本存量的再估算:1998-2012[J].科学学研究,2016(1):69-80.
[9]刘金山,丁卓琪.省域R&D资本化及其对经济增长贡献研究[J].产经评论,2017(6):5-21.
[10]许宪春,郑学工.改革研发支出核算方法更好地反映创新驱动作用[J].国家行政学院学报,2016(5):4-12.
[11]Z Griliches.Issues in Assessing the Contribution of Research and Development to Productivity Growth[J].Bell Journal of Economics,1979(1):92-116.
[12]徐蔼婷,祝瑜晗.R&D卫星账户整体架构与编制的国际实践[J].统计研究,2017(9):76-89.
[13]魏和清.SNA2008关于R&D核算变革带来的影响及面临的问题[J].统计研究,2012(11):21-25.
[14]席玮,徐军.省际研发资本服务估算:1998-2012[J].当代财经,2014(12):5-16.
[15]E Mansfield.Price Indexes for R and D Inputs,1969-1983[J].Management Science,1987(1):124-129.
[16]Z Griliches.R&D and the Productivity Slowdown[J].The American Economic Review,1980(2):343-348.
[17]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004(10):35-44.
[18]OECD.Handbook on Deriving Capital Measures of Intellectual Property Products[M].Paris:OECD Publishing,2010.
[19]Eurostat.Manual on Measuring Research and Development in ESA 2010[M].Lucembourg:Eurostat Publishing,2014.
[20]王孟欣.美国R&D资本存量测算及对我国的启示[J].统计研究,2011(6):59-64.
[2]杨林涛,韩兆洲,王昭颖.多视角下R&D资本化测算方法比较与应用[J].数量经济技术经济研究,2015(12):90-106.
[3]江永宏,孙凤娥.研发支出资本化核算及对GDP和主要变量的影响[J].统计研究,2016(4):8-17.
[4]江永宏,孙凤娥.中国R&D资本存量测算:1952-2014年[J].数量经济技术经济研究,2016(7):112-129.
[5]吴延兵.R&D存量、知识函数与生产效率[J].经济学季刊,2006(3):1129-1156.
[6]王亚菲,王春云.中国行业层面研究与试验发展资本存量核算[J].数量经济技术经济研究,2018(1):94-110.
[7]王孟欣.我国区域R&D资本存量的测算[J].江苏大学学报(社会科学版),2011(1):84-88.
[8]陈宇峰,朱荣军.中国区域R&D资本存量的再估算:1998-2012[J].科学学研究,2016(1):69-80.
[9]刘金山,丁卓琪.省域R&D资本化及其对经济增长贡献研究[J].产经评论,2017(6):5-21.
[10]许宪春,郑学工.改革研发支出核算方法更好地反映创新驱动作用[J].国家行政学院学报,2016(5):4-12.
[11]Z Griliches.Issues in Assessing the Contribution of Research and Development to Productivity Growth[J].Bell Journal of Economics,1979(1):92-116.
[12]徐蔼婷,祝瑜晗.R&D卫星账户整体架构与编制的国际实践[J].统计研究,2017(9):76-89.
[13]魏和清.SNA2008关于R&D核算变革带来的影响及面临的问题[J].统计研究,2012(11):21-25.
[14]席玮,徐军.省际研发资本服务估算:1998-2012[J].当代财经,2014(12):5-16.
[15]E Mansfield.Price Indexes for R and D Inputs,1969-1983[J].Management Science,1987(1):124-129.
[16]Z Griliches.R&D and the Productivity Slowdown[J].The American Economic Review,1980(2):343-348.
[17]张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952-2000[J].经济研究,2004(10):35-44.
[18]OECD.Handbook on Deriving Capital Measures of Intellectual Property Products[M].Paris:OECD Publishing,2010.
[19]Eurostat.Manual on Measuring Research and Development in ESA 2010[M].Lucembourg:Eurostat Publishing,2014.
[20]王孟欣.美国R&D资本存量测算及对我国的启示[J].统计研究,2011(6):59-64.