Welcome to free paper download website

Economic other

You are here: Home > Economics > Economic other > content

On the flow of knowledge on regional industrial structure

Author: LiJinLing SongHuanBin From: www.yourpaper.net Posted: 2010-06-30 19:47:24 Read:
Papers Key words: Regional Innovation System knowledge of current industry structure
Abstract: The flow of knowledge is the dynamic mechanism of the regional innovation system is running, but also an important way to improve the regional economic performance. Upgrade the industrial structure of the region, is a sign of its economic performance to improve. The time of this flow of knowledge and the correlation of the regional industrial structure on empirical analysis to find out the correlation demonstrates the optimization of regional industrial structure in China should focus on improving the efficiency of the flow of knowledge.
Related concepts and connotation
The knowledge after thinking collated information data, image, image values, as well as other social symbolic products, including science and technology, management experience and ability to innovate and other factors. The flow of knowledge from knowledge production to knowledge diffusion in the the transfer spread between the different actors in the process is one of the basic ways to improve the capacity of regional innovation. A regional innovation capacity depends largely on the efficiency of the flow of knowledge. Knowledge flows in the regional innovation system includes two aspects: First, the flow of knowledge within the system, within and between the elements of the system elements flow and its essence is to promote the effective combination of innovative elements to improve the innovation capacity of the innovation system is inter-regional the flow of knowledge.
Inter-regional flow of knowledge and its characteristics
Technology transfer. An important feature of the era of knowledge economy is to accelerate the transfer of knowledge and creation. Technology transfer process can be seen as the organic unity of the three knowledge during the move: First, the the hardware transfer process such as exists in the products, equipment, spare parts and production enterprises in the knowledge; software mobile process which is similar to proprietary technology, patents, etc. ; there between macro and micro flow of information in the national regional business organizations as well as individual. The wide variety of technology transfer technology purchase, technology transfer mechanism.
(2) foreign direct investment. Foreign direct investment is a very important form of knowledge flows in the regional innovation system. Foreign direct investment has also brought in at the same time bring capital, equipment, technical knowledge, and significantly improve the region's level of industrial technology to optimize the industrial structure.
Three empirical analysis of the impact of knowledge flows on regional industrial structure
1 model. This paper selects the 2005 China's 31 provinces (municipalities) in the flow of knowledge technology transfer (including technical buy technology), foreign direct investment index data. Three industrial output value to represent the changes in the structure of the industry. Univariate and multivariate linear regression model, two indicators the flow of knowledge and three industrial output value of the regression analysis. Modeling as follows:


A linear regression model; LOG (GDP3)-Bo b LOG (FDI) (Symbol Description: GDP}: primary industry GDPz: secondary industry output value: GDP3: three industrial output value; under GM technology purchase turnover; under YJ technology import turnover; FDI: Foreign Direct Investment.
2 sample data. (1) transfer of technology on the industrial structure. Sample data into the multiple linear regression model 1, the following regression analysis:
R, as. .655 Adjusted R 626 model fit is not high, and did not pass the test of significance the TGM and under YJ GD families, explanatory power is not strong for the next GM and the t-statistic under YJ technology transfer GD households, has little effect on growth.
Then the sample data into the multiple linear regression model, the regression analysis as follows:
R, as. 883 adjusted Rz. 873 a relatively high degree of fit of the model regression equation F = 90.0653 is greater than Fo os (24) = 3.40, the TGM t-statistic of 5.44 and TYJ t-statistic 3.83 greater than (24) = 2.0639, the regression equation at the 95% significance level by means of inspection, technology transfer significant impact on GDP.
Finally, the sample data into the multiple linear regression model 3 regression analysis as follows:
R, as. .916 Adjusted Rz. .909 Very high degree of fit of the model, the regression equation F = 131.05 is greater than (2,24) = 3.40, the TGM statistics 607 and the statistic of TYJ 5.10 greater than ( 24 / -2 0639, the regression equation at the 95% significance level by examining the technology transfer GDP3 significant from the regression results, technology transfer and output growth of secondary and tertiary industries were tested significantly positive correlation, but there was no significant positive correlation between the first industry, technology transfer to promote the development of secondary and tertiary industries in our region, but slightly different from pulling the output growth of the secondary and tertiary industries technical buy when other conditions remain unchanged turnover for each additional percentage points from the second industry output value of tertiary industry increased by 0.62 percentage points increase of 0.53 percentage points; indicating that the maximum contribution of the technology purchase turnover of secondary industry and tertiary industry sub- , therefore the proportion of the technology purchase turnover increase causes the secondary industry and the tertiary industry in the gross domestic product (GDP) increase of the relative decline in the proportion of primary industry in GDP, the second industry and the tertiary industry is concerned, the proportion of secondary industry increased but also slightly faster than the tertiary industry.
When other conditions remain unchanged, the introduction of technology turnover for each additional 1 percentage point, the second, the output value of tertiary industry increased by 0.43 percentage points and 0.45 percentage points; the introduction of technology tertiary industry largest contribution, followed by the secondary industry, therefore, the introduction of technology transaction will also enhance the amount of increase in the proportion of secondary industry and the tertiary industry in GDP. leaving the primary industry in GDP The proportion of relative decline. In terms of the second and tertiary industries. Increase in the proportion of tertiary industry but also slightly faster than the secondary industry.
(2) the impact of the industrial structure. Regression analysis of the sample data into a linear regression model as follows:
FDI t-statistic 4.60> (25-2 0595 but decided coefficient R is only 0.459. Goodness of fit of the model not FDI on GDP, the explanatory power of not strong.
And then the sample data into a linear regression model 2. Regression analysis are as follows:

R 0.766 adjusted R of 0.757, indicating a relatively high degree of fit of the model of FDI t-statistic 9.047 greater than to ozs (25 -2.0595. Description regression equation at the 95% significance level by examining FDI on GDP, there is a significant impact.
Finally the sample data into a linear regression model regression analysis is as follows:
R, 0.817 adjusted R 0,809 Description of model fit relatively high degree of FD of 10.555 t-statistic greater than to ozs (25 = 2. 0595 Description regression equation at the 95% significance level by examining FDI on GDP. significant impact.
The results from the regression, FDI and output growth of secondary and tertiary industries were tested significant positive correlation between the first industry not there was a significant positive correlation between that FD I promote our region, the development of tertiary industries. FDI for each additional 1 percentage point, the second industrial output value increased by 0.51 percentage points, the output value of tertiary industry increased by 0.48 percentage points, so the increase in the proportion of FDI increases, secondary industry and tertiary industry in GDP of the relative decline in the proportion of primary industry in GDP.
IV Conclusion
Flow of knowledge of the regional innovation system. Whether the direction of technology transfer or foreign direct investment in China's regional industrial structure adjustment, showing a clear agreement that enhance the GDP of the secondary and tertiary industries in the region the proportion. The empirical results show that: regional knowledge flows, especially in technology transfer and foreign direct investment. Promote regional industrial structure optimization and upgrading. The empirical results also coincide with China's regional industrial structure trend.
China's regional industrial structure upgrade should focus on improving the efficiency of the flow of knowledge. Improve understanding of the role of technology transfer, and by raising awareness of intellectual property rights to improve the protection system, formulate and improve relevant laws and regulations, improve the technology market means to actively promote technology transfer.
Please consciously abide by Internet-related policies and regulations.
Tips: Log in to comment, the user name to enter comments directly from your personal space, so that more friends to meet you.

Economic other latest papers

Sponsored Links

Economic other papers Ranking

Latest free papers

Sponsored Links

Top