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A Research On2-phase Regional Innovation Efficiency

Posted on:2015-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:Z WangFull Text:PDF
GTID:2309330422980864Subject:Management Science and Engineering
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Ever since1990s, as science and technology are continuously developing, their close relation with acountry’s economy, position and safety are acquiring an increasing significance. More and morecountries are making technical progress promotion and innovational activity development theirnational development strategy. In1998, China put forward the grand goal to build a nationalinnovation system for the first time. In the report of the17th CPC National Congress, it even raisedthe innovational nation construction to the height of a national strategy. It has become a significantstrategic measure for the country to develop its economy in the new era by scientific andtechnological innovation, industrial structure upgrade and economic growth mode change. Althoughthere is still a huge gap on innovational input between our country and developed country, the overalltrend of our input is upgoing. The insufficient of innovational input is caused by the level of economicdevelopment, cultural education and other deep-rooted reasons, it must follow a certain law ofdevelopment and cannot be improved in a short time. So, only add the innovational input can notsolove the rooted problem which restricts the development of regional innovation system and reachthe goal of improving the innovational activities in our country. During this stage, improvinginnovational efficiency will fit better the demand of innovational ability upgrade.This article studied regional innovation system’s efficiency from a two-phase perspective. Itdivided regional innovation system into2phases: transformation of scientific and technologicalachievements; transformation of economic achievements. It used a combined PCA-SEDEA evaluationto measure the overall system’s and two subsystems’innovative efficiencies. Then studied thecoordination degree between the two subsystems and used penal data regression to measure theinfluence of environmental factors. Finally, it adopted the panel data from29cities in our country, setJiangsu Province’s innovational system as the main object of study, to make the empirical analysisand came to such conclusions below:(1)Dividing regional innovation system into2phases, transformation of scientific andtechnological achievements; transformation of economic achievements, will help open the black boxof regional innovation system’s operation. It studied the regional innovation system efficiency as alinear process. The2-phase efficiency, on one hand, can provide more information, on the other handcan be used to measure the inner system’s coordination degree and influencing factors. Thus we canacquire more management information.(2)The combined PCA-SEDEA evaluation can abstract index information objectively. It can solve the problem that as the amount of indexes raise the efficiency will approach1effectively. It will alsohelp compare effective DMUs. Compared with the classic DEA, the new method has a wider appliedrange.(3)By evaluating and comparing29cities’, including Jiangsu Province’s, regional innovationefficiency, we came to the conclusion that Jiangsu Province has a higher efficiency on economicachievements transformation than scientific and technological achievements transformation. And ithas a high subsystem coordination degree. Government support factor has a negative influence onboth stages, while financial environment has a positive one. The complete degree of infrastructureeffects positively on scientific and technological achievements transformation, the quality of laborforce has a negative one on economic achievements transformation. In the stage of economicachievements transformation, the influence of infrastructure is not significant, meanwhile, the qualityof labor force has a positive influence.
Keywords/Search Tags:regional innovation, innovational efficiency, 2-phase, DEA, penal data regression
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