CAJ | 학술논문

针对物联网技术和产业发展的热潮,以我国28家物联网概念上市公司为研究对象,首先从静态角度,运用CCR和BCC模型分析2008-2012年我国物联网企业的运营效率与规模效应。其次运用DEA-Malmquist生产效率指数方法对物联网企业的全要素生产率变化以及各企业生产效率变动来源进行分析。研究发现,28家上市公司中多数企业运营效率不足。整体而言,2008-2012年间,技术效率年均增长1。25％,技术进步年均负增长44。23％。目前我国日益推进的物联网产业的发展仍是粗放型的,高增长的代价是高投入;部分上市公司逐渐进入规模效益递减阶段,出现产能过剩的现象;总体技术效率呈缓慢增长,技术进步逐渐降低,物联网产业发展的“追赶效应”大于“增长效应”。
침대물련망기술화산업발전적열조,이아국28가물련망개념상시공사위연구대상,수선종정태각도,운용CCR화BCC모형분석2008-2012년아국물련망기업적운영효솔여규모효응。기차운용DEA-Malmquist생산효솔지수방법대물련망기업적전요소생산솔변화이급각기업생산효솔변동래원진행분석。연구발현,28가상시공사중다수기업운영효솔불족。정체이언,2008-2012년간,기술효솔년균증장1。25％,기술진보년균부증장44。23％。목전아국일익추진적물련망산업적발전잉시조방형적,고증장적대개시고투입;부분상시공사축점진입규모효익체감계단,출현산능과잉적현상;총체기술효솔정완만증장,기술진보축점강저,물련망산업발전적“추간효응”대우“증장효응”。
Based on the boom of developing the Internet of Things technology and industry surging at home and abroad in 2009, we first used the CCR and BCC model from DEA to analyze the operation efficiency and scale effect of 28 listed Internet of Things conceptual companies from 2008 to 2012 as research subjeot. Then we applied DEA-Malmquist Index to analyze the total factor efficiency changes and the sources of production efficiency changes of those lnternet of Things companies. We found that most of the 28 companies showed DEA-inefficient. As a whole, the technical efficiency grew annually at an average of 1.25% , while the technology shift reduced annually at an average of 44.23%, from 2008 to 2012. As a result, the increasingly promoted development of Internet of Things industry in China is still extensive with high input to achieve high growth. Additionally, part of the 28 com- panics excess shift; were sliding into the stage of decreasing return to scale, which indicates the emergence of the phenomena of capacity. Generally, there is a slowing growth in technical efficiency and a gradual reduction in technology the ＂catch-up＂ effect of Internet of Things industry is greater than growth effect.