制造业创新效率研究——以山东省为例

Yanxin Zhu, Jun Xue, Yanshuo Zhu, Kingsley F Haynes
{"title":"制造业创新效率研究——以山东省为例","authors":"Yanxin Zhu, Jun Xue, Yanshuo Zhu, Kingsley F Haynes","doi":"10.1109/ICSSSM.2015.7170264","DOIUrl":null,"url":null,"abstract":"Although there is a great deal of literature focused on high-tech R&D, there is much less literature examining the whole manufacturing industry R&D and analyzing its performance. This paper addresses this short fall by focusing on the manufacturing industry in China and analysing its R&D performance. The authors use Data Envelopment Analysis (DEA) to evaluate 29 sectors of manufacturing in Shandong province, a region with a very competitive manufacturing system. The analysis indicates that only three of those manufacturing sectors are efficient. When efficiency was decomposed into technical and scale efficiency, there are eight sectors with HTE (High Technical Efficiency) and LSE (Low Scale Efficiency), eleven sectors with LTE (Low Technical Efficiency) and HSE (High Scale Efficiency), seven sectors with LTE (Low Technical Efficiency) and LSE (Low Scale Efficiency). The results reflect lower technological innovation capability of manufacturing R&D in China.","PeriodicalId":211783,"journal":{"name":"2015 12th International Conference on Service Systems and Service Management (ICSSSM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Innovation efficiency of manufacturing industry: A case study of Shandong province in China\",\"authors\":\"Yanxin Zhu, Jun Xue, Yanshuo Zhu, Kingsley F Haynes\",\"doi\":\"10.1109/ICSSSM.2015.7170264\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although there is a great deal of literature focused on high-tech R&D, there is much less literature examining the whole manufacturing industry R&D and analyzing its performance. This paper addresses this short fall by focusing on the manufacturing industry in China and analysing its R&D performance. The authors use Data Envelopment Analysis (DEA) to evaluate 29 sectors of manufacturing in Shandong province, a region with a very competitive manufacturing system. The analysis indicates that only three of those manufacturing sectors are efficient. When efficiency was decomposed into technical and scale efficiency, there are eight sectors with HTE (High Technical Efficiency) and LSE (Low Scale Efficiency), eleven sectors with LTE (Low Technical Efficiency) and HSE (High Scale Efficiency), seven sectors with LTE (Low Technical Efficiency) and LSE (Low Scale Efficiency). The results reflect lower technological innovation capability of manufacturing R&D in China.\",\"PeriodicalId\":211783,\"journal\":{\"name\":\"2015 12th International Conference on Service Systems and Service Management (ICSSSM)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 12th International Conference on Service Systems and Service Management (ICSSSM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSSM.2015.7170264\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 12th International Conference on Service Systems and Service Management (ICSSSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSSM.2015.7170264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

虽然有大量的文献关注高技术研发,但很少有文献研究整个制造业的研发并分析其绩效。本文以中国制造业为研究对象,对其研发绩效进行了分析,解决了这一不足。本文运用数据包络分析(DEA)对制造业竞争力强的山东省29个制造业部门进行了评价。分析表明,这些制造业部门中只有三个是高效的。当效率分解为技术效率和规模效率时,有8个部门具有HTE(高技术效率)和LSE(低规模效率),有11个部门具有LTE(低技术效率)和HSE(高规模效率),有7个部门具有LTE(低技术效率)和LSE(低规模效率)。结果表明,中国制造业研发技术创新能力较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Innovation efficiency of manufacturing industry: A case study of Shandong province in China
Although there is a great deal of literature focused on high-tech R&D, there is much less literature examining the whole manufacturing industry R&D and analyzing its performance. This paper addresses this short fall by focusing on the manufacturing industry in China and analysing its R&D performance. The authors use Data Envelopment Analysis (DEA) to evaluate 29 sectors of manufacturing in Shandong province, a region with a very competitive manufacturing system. The analysis indicates that only three of those manufacturing sectors are efficient. When efficiency was decomposed into technical and scale efficiency, there are eight sectors with HTE (High Technical Efficiency) and LSE (Low Scale Efficiency), eleven sectors with LTE (Low Technical Efficiency) and HSE (High Scale Efficiency), seven sectors with LTE (Low Technical Efficiency) and LSE (Low Scale Efficiency). The results reflect lower technological innovation capability of manufacturing R&D in China.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Does overconfident effect affect the performance of a duopoly market? A theoretical analysis Effect of Massachusetts healthcare reform on financial performance of healthcare providers: Panel data analysis Influence of government subsidies on carbon reduction technology investment decisions in the supply chain Optimizing process conditions using design of experiments - A wire bonding, semiconductor assembly process case study Research on the development of manufacturing servitization based on a business model analysis framework
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1