区域技术协同创新效率测度及其演变特征研究——以京津冀和长三角区域为例
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摘要
基于DEA-BCC模型和Malmquist指数模型,分别测度2006～2016年京津冀和长三角区域技术协同创新效率及其演变趋势,并对其进行对比分析。研究结果显示:从静态演变趋势来看, 2006～2016年京津冀和长三角两个区域的技术协同创新效率平均值处于DEA无效状态,区域内部效率变化分异现象明显,其中京津冀技术协同创新效率低于长三角地区,尤其是津冀两地的效率水平偏低,但这种差距也有逐渐缩小的趋势;从动态演变趋势来看, 2006～2016年京津冀和长三角两个区域的技术协同创新效率呈现快速增长的趋势,总体来看,技术进步是效率提升的重要动力源泉,但在不同阶段,部分地区也出现了技术效率变化对总效率提升的拉动作用显著。
Based on DEA-BCC model and Malmquist index model, this paper measured the efficiency of technological collaborative innovation and its evolution trend in Beijing-Tianjin-Hebei region and Yangtze River Delta region from 2006 to 2016, and made a comparative analysis. The results indicated: in terms of static evolution trend, the average efficiency of regional technological innovation was in DEA invalid state of the two regions from 2006 to 2016; the regional differentiation phenomenon is obvious within respective regions; the efficiency of Beijing-Tianjin-Hebei, especially in Tianjin and Hebei, is lower than that of the Yangtze River Delta region,; in terms of dynamic evolution trend, the efficiency of technological col-laborative innovation showed a trend of rapid growth from 2006 to 2016 in the two regions. In general, technological progress is an important driving force for efficiency improvement. But at different stages, technological efficiency changes showed significant promoting effect on the overall efficien-cy improvement in some regions.
Based on DEA-BCC model and Malmquist index model, this paper measured the efficiency of technological collaborative innovation and its evolution trend in Beijing-Tianjin-Hebei region and Yangtze River Delta region from 2006 to 2016, and made a comparative analysis. The results indicated: in terms of static evolution trend, the average efficiency of regional technological innovation was in DEA invalid state of the two regions from 2006 to 2016; the regional differentiation phenomenon is obvious within respective regions; the efficiency of Beijing-Tianjin-Hebei, especially in Tianjin and Hebei, is lower than that of the Yangtze River Delta region,; in terms of dynamic evolution trend, the efficiency of technological col-laborative innovation showed a trend of rapid growth from 2006 to 2016 in the two regions. In general, technological progress is an important driving force for efficiency improvement. But at different stages, technological efficiency changes showed significant promoting effect on the overall efficien-cy improvement in some regions.
引文
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[2]董登珍,林晓霞,龚明.湖北省技术创新效率评价———基于研发资本存量角度[J].科技管理研究,2018(16):81-87.
[3]刘汉初,樊杰,周侃.中国科技创新发展格局与类型划分———基于投入规模和创新效率的分析[J].地理研究,2018,37(5):910-924.
[4] KUHLMARM S. Euronpean/German Effects and Policy Evaluation in Regional Innovation[C]//International workshop on comprehensive review of S&T basic plans in Japan:Towards the effective benchmarking of intergrated S&T policy. Tokyo:NISTEP, 2004:1-25.
[5] SUN YUTAO, CAO CONG. Intra-and inter-regional research collaboration across organizational boundaries:evolving patterns in China[J]. Technological forecasting&social change, 2015, 96:215-231.
[6]吴传清,黄磊,文传浩.长江经济带技术创新效率及其影响因素研究[J].中国软科学,2017(5):160-170.
[7]邵汉华,钟琪.研发要素空间流动与区域协同创新效率[J].软科学,2018,32(11):120-129.
[8]陈怀超,张晶,费玉婷,范建红.中部六省产学研创新效率对省域创新的影响———基于Malmquist指数与灰色关联度的分析[J].科技进步与对策,2018,35(20):137-143.
[9]魏国江.产学研协同创新效率与空间扩散能力———不同主体主导的影响差异[J].产业经济评论,2018(9):37-49.