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Comparative analysis of the Yangtze River Delta technological innovation drive mechanism

Author: FangJianZuo ZhuXueXin ZhangBin From: www.yourpaper.net Posted: 2010-07-02 14:19:57 Read:
Paper Keywords: technological innovation drivers of the Yangtze River Delta regional innovation
Abstract: 2005 to 2000, Jiangsu, Zhejiang and Shanghai provinces (municipalities) panel data, made a quantitative analysis of the drivers of innovation in the region, the results show that government spending on technology, FDI, society as a whole R & D investment and enterprise technology expenditure on scientific and technological innovation significantly. Through comparative analysis of the efficiency of technological innovation of the three provinces, the proposed policy recommendations for how to improve the efficiency of scientific and technological innovation.
, Technical innovation-driven Theory of
The rapid development of science and technology and economic globalization, technological advances have become an important driving force of economic development, countries in the world of science and technology innovation as an important development strategy. China also made it clear that the necessary scientific and technological progress and innovation as the primary driving force for economic and social development to improve the capability of independent innovation as the adjustment of economic structure, change the growth mode, improve national competitiveness, the central link. In the technological innovation process, only a correct understanding of the drivers of technological innovation, and to be able to find the most effective way to promote technological innovation. History has had a technology-driven model, market demand model, the driving force of technological innovation dualism model the new ternary theory model of technological innovation, technological innovation Quadruplicitism model with the national innovation system and technology innovation-driven theory.
1960s, technology-driven model of technological innovation theory dominates. The theory is that the results of scientific research led new technology and technological breakthroughs, the market just passively receive research and development results. After American economist Shimokele in effect the investment, output, employment, and these industries the number of patents obtained patent activity is the pursuit of profit economic activity, it makes a market pull and technology-driven model completely opposite model. The end of the 1970s, Walsh et al studies, technological innovation is a very complex process, Pull "technology push" and "demand" a combination of two factors, which is the driving force of technological innovation binary model . Ternary theory model that, through direct involvement in technological innovation (such as government-owned scientific and technological innovation institutions and organizations), the development of policy to intervene in the market, thus becoming another driving force of the impact of technological innovation. In the ternary On the basis of, consider the preferences of entrepreneurial innovation in the enterprise technology innovation, forming a four monistic model of technological innovation. In 1987, the British scholar Freeman "national innovation system" through empirical analysis of more than a dozen national technological innovation system, draw national technological innovation system is made up of enterprises, research institutes, higher education, government, intermediary institutions network system that conclusion. Can see the history of changes from the history of the development of technological innovation driving force model, the impact of technological innovation factors, technological development, factors affecting technological innovation is changing, and showed an increasing number of trends.
Second, the theoretical model
Based on the theory of multi-drive technological innovation, the use of panel data (1) 2005, 2000, Jiangsu, Shanghai, Zhejiang, innovation-driven factor analysis of the Yangtze River Delta region.

The dependent variable Y is the total number of authorized patents. Although the patent does not necessarily lead to technological innovation, but mainstream research, has been patented as a representative of the ability to innovate. In recent years, Jiangsu, Shanghai, Zhejiang and the number of patents has increased year by year, due to the higher level of the market, Zhejiang Province, the number of patents is generally higher than Shanghai and Jiangsu. In 2005, Zhejiang Province, Jiangsu Province, Shanghai Municipality and the number of patents were 19,056, 13,580 and 12,603, respectively. Combined with the actual situation of scientific and technological innovation in the Yangtze River Delta region, since the variable X, we select the actual amount of foreign investment, government funding on society as a whole R & D investment " science and technology expenditures and other indicators of large and medium-sized enterprises as an innovation-driven factors, the effects of different innovation drivers of technological innovation. Specifically defined as follows:
GOV local funding on, the unit is billion, which is an important variable to characterize the degree of government intervention in innovation activities. Due to the different economic strength and management philosophy, the role of regional authorities in the scientific and technological innovation activities is also very different. Yangtze River Delta region due to the strength of the economy, government science and technology funding among the best in the country. 2005, Shanghai, Zhejiang, Jiangsu the local fiscal Technology funding, respectively, to 7.93 billion yuan, 50 billion yuan, 3.57 billion yuan, ranked the country's second, third and fifth. On average, the intensity and strength of the local government of Zhejiang Province Science and Technology invested, shows the consistent support of the Zhejiang provincial government on scientific and technological innovation; Shanghai municipal government technology investment and efforts in recent years a substantial increase in the momentum to catch up with the Zhejiang Province; Jiangsu Province, local government funding on the strength and intensity were significantly behind the other two regions.
RD "society as a whole R & D expenditure, in units of billion, which is frequently used characterization of investment in science and technology indicators. Jiangsu, Zhejiang and three provinces of R & D investment in a leading position in the country, in 2005, Jiangsu Province, the whole society R & D investment second only to Beijing, respectively, 20.8 billion and 16.3 billion, ranking second in the country, Shanghai and Zhejiang ranks fourth and eighth.
FDI "the actual amount of foreign investment, the unit is billion. China's Yangtze River Delta region, one of the world's most promising foreign investment into the total actual utilization of foreign capital accounted for nearly half of the Fortune 500 companies have more than 400 settled in this investment. Foreign direct investment in Jiangsu Province, Jiangsu Province in 2005 foreign direct investment (Actual) reached $ 13.1 billion, ranking first in the country. Foreign investment is mainly applied parent innovations, foreign direct investment may also be driven by the technological innovation of local enterprises, FDI helps to improve the level of technological innovation in the Yangtze River Delta region, scholars have been held different views.
ENT "large and medium-sized enterprises, science and technology expenditures, in units of 100 million yuan, the indicators to measure the intensity of investment in the enterprise technology innovation. Enterprises are the main force of technological innovation, scientific and technological innovation of enterprises around the world in recent years, investment gradually increase. Large and medium-sized enterprises in Jiangsu Province Science and Technology Expenditures in 2005 reached 400 billion yuan, ranking first in the three regions.
In order to compare the different regional innovation-driven factors impact of Zhejiang as a reference set JS and SH dummy variables investigated different parts of the innovation factors affect the efficiency of the innovation. Model can be corrected as follows:

The coefficients of the model has obvious economic implications. p, said Zhejiang
Innovation-driven factors on the impact of technological innovation flexibility. Jiangsu Province, Shanghai, the coefficients of the model has obvious economic implications. a, Zhejiang innovation-driven factors on the impact of technological innovation flexible. Jiangsu Province, Shanghai technological innovation output elasticity (a1 a2 and a2 a3 if a2> 0 (ie a1 a2> a1) means that the technology of Jiangsu Province innovation output elasticity is greater than in Zhejiang Province; (a3> 0 (ie a1 a3> a1), Shanghai technological innovation output elasticity is greater than in Zhejiang Province.
Third, the empirical results
Measured according to the previously defined model, using Eviews5 measurement software for parameter estimation, regression results are shown in Table 1.

Government spending on technology is the driving force of technological innovation analysis
Model regression analysis showed that three provincial and municipal science and technology funding impact of technological innovation. For every 1% increase in government science and technology funding, patent-performance scientific and technological innovation capacity increased by about 0.6%. Government science and technology funding to raise the level of an area of ??scientific and technological innovation has significant influence.
2.R & D investment in the driving force of technological innovation analysis
The model results show that three regions of R & D investment in scientific and technological innovation output efficiency is a significant difference, but in society as a whole R & D investment in regional technological innovation capacity can improve is no doubt. The which, Zhejiang R & D investment and the highest output efficiency, the output elasticity of R & D investment of 0.78, Shanghai and Jiangsu Province R & D investment in the output elasticity are 62%, was significantly lower than in Zhejiang Province.
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