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Current Issue

  • Science 2.0: The New Paradigm of Scientific Activity
  • 2016 Vol. (9): 1281-1286.
  • Abstract ( )
  • The emergence and development of Internet has rapidly transformed all aspects of our life. The term Science 2.0 describes what is currently happening in science with networking power of the internet. The changes happening in the status quo of scientific activity include the new emerging communication tools and interactive platforms, a more open environment and even a new paradigm shift impacting the entire scientific process. Science 2.0 allows individuals not only to collaborate with each other online but also to share ideas, methods, data and findings besides their published papers. At the same time, the transition from print media to instant messaging contributes to the timeliness and universality of scientific communications. Researchers should pay more attention to this transformation, which can be realized by the network technologies in future.
  • Discovery or Artificial Generation: the Dual Relationships between Scientific Experiment and Laws
  • 2016 Vol. (9): 1287-1293.
  • Abstract ( )
  • The laws of nature are formed along with the evolution of the universe. and human beings can achieve artificial generation of new laws through their own practice activities. Scientific experiments act as an important basis and means of scientific research, not only can people discover the laws of nature that have already existed in nature through simplifing and purifing experiments, but also can artificially generate new rules through strengthening and intensifing experiments and technology science experiments. Artificial generation of new rules has changed the traditional understanding of the relationship between man and the law, and made people fully aware of the strategic significance of setting new goals of technology, developing the experimental instruments and equipment, reinforcing the research and development and conservation of scarce resources, strengthening science and technology research in our scientific research and technology development activities.
  • Independent R&D innovation, knowledge accumulation and science-technology performance: The dynamic threshold mechanism based on high-tech industry
  • 2016 Vol. (9): 1301-1309.
  • Abstract ( )
  • Aiming at the problems and challenges of the Sustainable transformation growth of innovation driven development of high-tech industry in China As well as the characteristics of the non direct correlation between recessive knowledge accumulation and innovation and performance, this paper improve and construct the nonlinear dynamic threshold model of independent R&D innovation driven on science-technology performance from the regional knowledge accumulation perspective and analyze the dynamic threshold effect and the temporal and spatial heterogeneity of regional knowledge accumulation, which is revealed the "black box” in the challenges situation of innovation driven development in method and content. The research shows that: high-tech industry R & D personnel input has a significant promotion to industrial science-technology performance; The technology introduction and transformation are to some extent the negative effect on science-technology performance. The effect of Independent R & D innovation driven on science-technology performance markedly restricted from the level of regional knowledge accumulation of high-tech industry, with knowledge accumulation threshold level upgrade, independent R&D innovation drive efficiency gradually improved, which is existing the double threshold effect of knowledge accumulation, then divided area into three kind of types: low knowledge accumulation (KS≤5.285), medium knowledge accumulation (5.2856.769). At the same time, the level of regional knowledge accumulation in independent R&D innovation driven mechanism existing the temporal and spatial heterogeneity, and the difference of the distribution of different years and regions is larger.
  • Research on the Knowledge Sources for the Innovation of Industries in Transition Phase
  • 2016 Vol. (9): 1310-1318.
  • Abstract ( )
  • When the industries in latecomer countries are transiting from catching-up to leadership, they may get into a dilemma on the access to acquire knowledge. Through the factor analysis and cluster analysis based on international and intra-national patent citations, this paper examines the evolving knowledge sources, in both overall innovative caliber and strategic innovative caliber, of the telecommunication equipment industry in China during its transition process. We find that the knowledge sources become complicated as the telecom industry are approaching the innovation frontier, such as the combinative use of knowledge form foreign technology and indigenous innovation. Furthermore, there are distinct kinds of knowledge sources in each dimension of innovation.
  • Study on the dynamic combination of path of “double engine” on economic development and social security technology innovation, technology
  • 2016 Vol. (9): 1336-1346.
  • Abstract ( )
  • China's economy has entered a new normal, and, the prime minister reports that China’s economic growth needs two engine power mechanisms in 2015; employment, wages and social security have become the key factors. What is the “double engine” on economic growth path of the combination of social security and technological innovation technology diffusion? What kind of dynamic combination between them can better promote the development of China's economy? In this paper, we use the DSEG theory to establish the dynamic system model of social security and technological innovation and technology diffusion, and we study its influence on China’s economic growth and economic fluctuations. Based on the economic data of 2000-2014, the model can be calibrated, and the numerical simulation results show that the model fits the current economic situation better. The variance decomposition and IR analysis show that the impact of technological innovation and technological innovation technology can increase the potential stock of technology in the short term. However, the effect of social security on the economy is reflected in the “transfer” and “linkage” of other economic variables. The positive impact of social security investment can have a positive transfer effect on employment, technological stock, while the “linkage” with the wage can produce a greater impact on the economic output, which makes the Chinese economy continue to reach a new higher level of equilibrium.
  • The Effects of Financial Support Upstreamness to High Technology Products Export: Evidence from 34 Countries’ Input-Output Data from 1997 to 2011
  • 2016 Vol. (9): 1347-1359.
  • Abstract ( )
  • With the input-output data from WIOD, this paper estimates 34 countries’ financial support upstreamness through properly revised Antràs et al(2012),then analysis the effects of financial support upstreamness to high technology products export from total and subsection level. The results show that: firstly the effects of financial support upstreamness to high technology products export like inverse U, China’s financial support upstreamness is too high, which is near the negative threshold; Secondly institutional geographic advantage and being a neighbor of larger importing country do good to a country’s high technology product export, the near sea geographic advantage doesn’t have significant effects to high technology product export; Thirdly economic development ,business environment and natural resource have positive effects to the high technology product export,but the natural resource is not a" long dependable " factors, the impacts of economic development to high technology product export are declining, the impacts of business environment to high technology product export are becoming stronger.
  • On Dynamic Relationship between Knowledge Creation and A Firm’s Growth Based on Novelty of New Knowledge Differentiation: A Explorative Case Study on Huawei
  • 2016 Vol. (9): 1381-1390.
  • Abstract ( )
  • It becomes more and more important for a firm to create new knowledge which makes the endogenous sources of a firm’s knowledge accumulation and the base to gain intelligence property, especially in conditions of China’s economy transition. While the extant literature mostly focuses on the relationship between knowledge creation and innovation performance from the perspective of processes of knowledge creating, few investigates the relationship between knowledge creation and firms’ growth from the perspective of outcomes of knowledge creating. The gap makes it difficult to understand the phenomenon that firms get different performance even though they have same processes of knowledge creating. Differentiating new knowledge created by a firm according to the degree of novelty, the present paper explores the dynamic relationships between knowledge creation and a firm’s growth from the perspective of outcomes of knowledge creating, using sequential data selected from Huawei. Findings got: (1)There is a time lag between knowledge creation and a firm’s growth, and as time goes on, the impact of knowledge creation on a firm’s growth increases in earlier stage and then decreases, like an invert-U shape. (2)Different degree of novelty of new knowledge contributes a firm’s growth differently, namely, the relationship between knowledge creation and a firm’s growth with respect of the degree of novelty of new knowledge shows an approximate U-shape with degree of novelty becoming higher and higher. Finally, we discuss the theoretical contribution, managerial implications and limitations.
  • Technology Complexity, Impacts of Technological Advantage and Spillovers of Outsourcees in China –Based on the Empirical Study of Value-added
  • 2016 Vol. (9): 1397-1403.
  • Abstract ( )
  • The paper constructs an index of technological complexity (ITC), and divides Chinese manufacturing sectors into low-tech sectors and high-tech ones using value-added data. Results show that precision machinery and general machinery, which are usually regarded as high-tech sectors, actually belong to low technological ones. Econometric model is establishes to test the technological advantage and spillovers of outsourcee manufacturers, with specific origins from the US and Japan. Estimate results show that (1) Outsourcee manufacturers have remarkable technological advantage over non-outsourcees, with those of US origin possessing higher advantage than those of Japanese origin. Moreover, both US and Japanese outsourcee manufacturers own less technological advantage than those of other sources in low-tech sectors, while greater advantage in high-tech sectors. (2) Outsourcees exert positive spillovers on non-outsourcees in general, with US outsourcees showing higher spillovers than Japanese ones. In low-tech sectors, outsourcees of both US and Japan exert positive spillovers, while those of other origins demonstrating negative ones, crowing out the production of non-outsourcees. (3) There presents negative correlation between technological advantage and spillovers, and it is particularly evident in low-tech sectors.
  • An Empirical Study on the Impact of Financial Development and Regional Innovation Efficiency: Based on the Mediation Effect of Opening Degree
  • 2016 Vol. (9): 1408-1416.
  • Abstract ( )
  • From the perspective of value chain, this paper decomposes the regional innovation process into two interrelated sub-procedure, namely sci-tech research and achievements transformation, and constructs innovation efficiency evaluation method of two-stage relational DEA to calculate the efficiency of each stage. On this basis, the GMM method is used to test the difference between financial development and regional innovation efficiency by treating the degree of openness as an intermediate variable. The empirical results indicate that: there is significant correlation between the sci-tech research and achievements transformation, mutual restraint between the sci-tech research and achievements transformation has become the common factors restricting China’s innovation. We also find that the mechanisms of financial development and opening degree have the characteristics of sub-regional and multi-stage properties, and different regions and stages presenting different features. Furthermore, the variable of opening degree has a significant mediating effect whether it is from the national or sub-regional point of view. In other words, with the improvement of the level of opening up, financial development will significantly enhance the ability of regional innovation. Finally, this paper presents relevant implications according to the results.
  • Does the Innovation Culture Promote R&D Investment? —the Moderate Effect of Institutional Environment and Duality
  • 2016 Vol. (9): 1417-1425.
  • Abstract ( )
  • Corporate culture influences corporate behavior. As one of the most important decisions of corporates, the affect corporate culture has on R&D investment and its situations haven’t been researched widely. This paper constructs a model that involves innovation culture, R&D investment, institutional environment and duality, then uses the data of listed company in Growth Enterprises Market during 2009~2013 to investigate the relationship between corporate innovation culture and R&D investment and the moderate effect of institutional environment and duality with the method of multiple regression. Conclusions are as follows :(1)innovation culture can promote R&D investment from three perspectives of values, relations and behavior;(2) institutional environment has a negative moderate effect on the above relationship. It is said that corporate innovation culture promotes R&D investment more in worse institutional environment regions;(3)duality moderates the above relationship positively, which means that innovation culture advances R&D investment more in corporates with duality.
  • Study on the organizational inertia of technological innovation network and effect on ambidexterity innovation
  • 2016 Vol. (9): 1432-1440.
  • Abstract ( )
  • In order to deal with the adaptive behavior of innovation organization, this paper analysis the emergence characteristics of organizational inertia in technological innovation network. By constructing a framework of structure inertia and cognitive inertia to explore the effect on ambidexterity innovation in different network embeddedness. Then an empirical test is made by multiple regressions with high-tech industry data. The results show that organizational inertia can not only help to promote incremental innovation, but also the structure inertia is better than cognitive inertia for incremental innovation. The relationship between organizational inertia with radical innovation shows a reversed U-shape, the cognitive inertia is better than structure inertia for radical innovation. In the relationships between organizational inertia and ambidexterity innovation, the relational embeddedness’s moderated effect is confirmed. But structure embeddedness’s moderated effect is partly confirmed. This research can reveal the adaptive behavior of innovation organization in technological innovation network, which has significant meaning to improve the innovation ability and stability of technology innovation network.