The innovation efficiency analysis between central regions and eastern regions in China based on DEA model and the development potential for central regions
(2011) EKHR21 20111Department of Economic History
- Abstract
- As a transition economy, China faces the reality of shortage of innovation resources and unbalanced allocation of innovation resources among regions when operating innovation activities. In order to solve these two problems, China needs to make efforts in increasing innovation efficiency and narrowing disparities between eastern regions and other regions. Among them, central regions are the area that integrates all regions together but have always been ignored by policy makers. Based on these backgrounds, this thesis analyzes the innovation efficiency between central regions and eastern regions by applying the DEA method. The results show that eastern regions have higher innovation efficiency than central regions in general, but we can see... (More)
- As a transition economy, China faces the reality of shortage of innovation resources and unbalanced allocation of innovation resources among regions when operating innovation activities. In order to solve these two problems, China needs to make efforts in increasing innovation efficiency and narrowing disparities between eastern regions and other regions. Among them, central regions are the area that integrates all regions together but have always been ignored by policy makers. Based on these backgrounds, this thesis analyzes the innovation efficiency between central regions and eastern regions by applying the DEA method. The results show that eastern regions have higher innovation efficiency than central regions in general, but we can see there is a converging trend of innovation efficiency because central regions exhibit higher growth rate in innovation efficiency. The results also indicate that scale is the main reason for causing efficiency disparities. Since all central regions are in increase return to scale, they possess the prospect for further investments and development. Through setting up investment for central regions, innovation efficiency can be promoted profoundly. This will increase the innovation performance in central regions and eventually advance their economic development. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/2153750
- author
- Lu, He LU
- supervisor
- organization
- course
- EKHR21 20111
- year
- 2011
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- eastern regions, central regions, DEA model, Innovation efficiency
- language
- English
- id
- 2153750
- date added to LUP
- 2011-09-19 13:31:18
- date last changed
- 2011-09-19 13:31:18
@misc{2153750, abstract = {{As a transition economy, China faces the reality of shortage of innovation resources and unbalanced allocation of innovation resources among regions when operating innovation activities. In order to solve these two problems, China needs to make efforts in increasing innovation efficiency and narrowing disparities between eastern regions and other regions. Among them, central regions are the area that integrates all regions together but have always been ignored by policy makers. Based on these backgrounds, this thesis analyzes the innovation efficiency between central regions and eastern regions by applying the DEA method. The results show that eastern regions have higher innovation efficiency than central regions in general, but we can see there is a converging trend of innovation efficiency because central regions exhibit higher growth rate in innovation efficiency. The results also indicate that scale is the main reason for causing efficiency disparities. Since all central regions are in increase return to scale, they possess the prospect for further investments and development. Through setting up investment for central regions, innovation efficiency can be promoted profoundly. This will increase the innovation performance in central regions and eventually advance their economic development.}}, author = {{Lu, He}}, language = {{eng}}, note = {{Student Paper}}, title = {{The innovation efficiency analysis between central regions and eastern regions in China based on DEA model and the development potential for central regions}}, year = {{2011}}, }