Research On Technological Innovation’s Evolution Mechanisms And Relevant Policies In Knowledge-intensive Industry

When facing various pressures coming with economy’s development, China has realizedthe importance of industries’ dynamic position adjustment to stabilize economy status, as wellas to development of economy. It is written explicitly in the eighteenth big report that, thecompletion of innovation strategy should be based on knowledge of science and technology,and at last achieve economic leap through promoting the innovation in industries. Thus,knowledge-intensive industry, which takes technological innovation management as the core,has become the mainstay in promoting the economy’s development of our country. Today,when economics entering diversified development, in this changing and complex socialeconomic environment, it is of great theoretic and empirical significance to systematically anddeeply study the evolution problems in technological innovation in knowledge-intensiveindustry, as well as propose relevant policies and suggestions, which will encourage thehealthy development of our country’s economy, adjust the industries’ structure and makeprogress of technology continuously.First of all, on summarizing relevant theories of knowledge-intensive industries,knowledge-based technological innovation, complexity of technological innovation,technological innovation’s evolution and agent-based modeling simulation in both home andabroad, this thesis uses meso-perspective to define knowledge-intensive industry and describeits characteristics. Based on viewpoint of Complex Science, this thesis analyzes7basic-pointsof complex of technological innovation’s evolution in knowledge-intensive industry,addresses the multi-structure of it, as well as the superiority of adaptive systems. On this basis,this thesis proposes the adaptive evolution point of view in knowledge-intensive industry’stechnological innovation, defies kene and knowledge space, discusses the adaptivemechanisms of technological innovation’s evolution in knowledge-intensive industry, anddoes agent-based modeling simulation to the mechanisms.Second, it is in this thesis that I use hypothesis-test to identify the internal and externaldriving-factors of technological innovation evolution in knowledge-intensive industry. Resultsof factor analysis and correlation analysis show that, there are five external driving-factors,namely infrastructure environment factor, social-culture environment factor, marketenvironment factor, policy environment factor and technology environment factor. Results of structural equation model implie that, the internal driving factor is actually kene in theknowledge space. According to different interactions between internal and external factors,this thesis defines two types of innovation evolution in knowledge-intensive industry, namely“technology-environment” evolution and “technology-technology” evolution, the latter oneincludes competition and cooperation.Third, there are three aspects of innovation’s evolution mechanisms ofknowledge-intensive industry’s “technology-environment” relationship: the first one is thenatural selection mechanism of environment to technology, based on neo-Darwinism; thesecond one is the learning mechanism of technology to environment, based on deLamark’sacademic view; the third one is the changing mechanism of technology’s emergence toenvironment. Based on selection, learning and changing mechanisms, this thesis uses theresearching method of interactions between environment and agents in complex adaptivesystem to establish the three-layer model of “technology-environment” innovation evolutionin knowledge-intensive industry and simulate it. Furthermore, there are two aspects, namelycompetition and cooperation in the innovation evolution mechanisms of knowledge-intensiveindustry’s “technology-technology” relationship. Having references of ARTHUR model, thisthesis builds an evolutionary model of competitive technological innovation inknowledge-intensive industries, discusses the three variances, which are adopters’ population,technology’s natural preferences and technology’s returns, and the influences they cause to thegame results separately when abilities are same and when abilities are different. And, basedon giant component model, this thesis establishes network model of cooperative technologicalinnovation’s evolution in knowledge-intensive industry, and addresses and simulates theevolution process in the cooperative network of knowledge-intensive industry separately fromnormal cooperation and supply-chain cooperation.Forth, according to the two evolutionary mechanism analysis of‘technology-environment’ and ‘technology-technology’, this thesis analyzes the isomorphismbetween knowledge-intensive industry’s technological innovation’s evolution and communityecological theory and describes the three characteristics including dynamic unbalance,emergence and adaptability, and then it constructs the whole model of technologicalinnovation’s evolution in knowledge-intensive industry, divides the evolution processes intonon-interfering phase, mutual interference phase, sharing phase and coevolutionary phase and then uses the simulation model to simulate them.Finally, this thesis puts forward the framework of relevant policies ofknowledge-intensive industry’s technological innovation’s evolution and states the relevantpolicies from three aspects including driven-strengthening policy, supporting policy andguiding policy. Then, this thesis uses the policy analysis framework to describe the functionalpatterns, inducing and blocking mechanisms in the technological innovation’s evolution bytaking the new-energy vehicle industry of Jilin Province as the research case, at last, itproposes the relative policies of technology of the new-energy vehicle industry in JilinProvince.