CAJ | 학술논문

笔者首次将对数平均迪氏指数分解法（LMDI）引入R＆D与经济增长动态驱动关系的研究,构建GDP总量分解模型,把GDP变动总效应分为R＆D活动效应、结构效应以及效率效应,并由此对1999年～2009年我国31个省市区GDP与R＆D投入的关系进行了实证分析。结果表明,R＆D活动效应对GDP变动总效应的贡献最大;R＆D结构效应对GDP变动的正向影响较为稳定,但不够显著;R＆D效率效应与GDP增长显著负相关。据此,我们给出了进一步优化我国R＆D投入、实现经济内涵式增长的政策建议。
필자수차장대수평균적씨지수분해법（LMDI）인입R＆D여경제증장동태구동관계적연구,구건GDP총량분해모형,파GDP변동총효응분위R＆D활동효응、결구효응이급효솔효응,병유차대1999년～2009년아국31개성시구GDP여R＆D투입적관계진행료실증분석。결과표명,R＆D활동효응대GDP변동총효응적공헌최대;R＆D결구효응대GDP변동적정향영향교위은정,단불구현저;R＆D효솔효응여GDP증장현저부상관。거차,아문급출료진일보우화아국R＆D투입、실현경제내함식증장적정책건의。
The authors introduced for the first time the Log-Mean Divisia Index Method （LMDI） to the the study of the driven relationship between R＆D input and economic growth, constructed a decomposition model of total GDP variation, divided the total GDP variation effect into R＆D activity effect, structure effect and efficiency effect and made an empirical research into the relationship between GDP and R＆D input in 31 provinces and cities from 1999 to 2009. The results show that R＆D activity effect makes the primary contribution to the total effect of GDP variation; the positive effect of R＆D structure effect on GDP variation is stable but not obvious; the R＆D efficiency effect is obviously negatively related to GDP growth. On the basis of this, the authors made some suggestions about optimizing the GDP input and realizing the substantial economic growth of our country.