Research On The Effect Of Government R&D Investment Combination In China

As the primary source of knowledge and technology, research and development (R&D) is the key driver to enhance national innovation capacity. In order to achieve the strategic goal to step into the innovative country in2020, our government continues to increase R&D investment, but the efficiency is low. The main reason is our government R&D investment management put more attention to the total increase in size, instead of structural optimization, resulting in a serious waste of R&D resources. How should the government use of R&D investment in different ways and combinations, are key to maximizing the effect of government R&D investment. Having the trends of attention to input-output analysis but the function realization mechanism, the present researches lack of prospective and predictability. Based on the existing achievements, this paper attempts to analyze the mode and its functions of government R&D investment combination, build the theoretical model of government R&D investment combination effect from system view, simulate by system dynamic, predict the effects of government R&D investment combination, and propose the adjustment plans of government R&D investment combination under different output targets.First, based on the analysis of government R&D investment policy targets and constraints, the paper qualitatively discussed the government R&D investment combination mode and its function to achieved, from investment way, operation subject, and research fields. Combined with historical data analysis evolution of government R&D investment combination, the results show a substantial increase of government R&D investment scale, but compared with developed countries, the government R&D investment combination structure has yet to be optimized.Second, the paper treated the government R&D input-output as a complex dynamic system behavior, proposed the boundary conditions and basis assumption of system running. With the system dynamics causal loop diagramming, respectively, to explore the basic elements and their relationship of colleges and universities, research institutions, enterprises and government action subsystems, analyze the causal feedback mechanism of the government R&D investment system. Based on the principles of the system dynamic, establish flow diagramming of government R&D investment system and function of variables. Combined with building an innovative country’s strategic objectives and budget constraints in2020, discuss a reasonable change intervals to be adjusted key parameters and variables, propose government R&D investment combination experiments possible situation, and design the specific experiments.Third, use Vensim_Professional software system dynamics model to simulate, repeatedly calibrate model parameters, and do system testing for the reliability and validity of the simulation model for system testing, use by the examined model for government investment R&D related parameters to the sensitivity test and compare different government R&D investment in sensitive policy. The results showed an increase in government R&D investment in innovation output effect is very obvious, and the single tax incentives can’t effectively play the role. Government R&D funding universities can bring more scientific paper output, to achieve invention patented long-term growth by leaps and bounds, the need to increase government investment in R&D enterprises, universities and research institutions R&D investment will be replace enterprise R&D investment to a certain extent.Fourth, according to the government R&D investment combination experimental situation design, program for the possible combinations of repeated experiments and compare the system to predict movements in the output variables, choose a more optimal combination plan. The results show that, in order to get more innovation output and income, the government increased R&D investment directly, while personal income tax and enterprise R&D costs plus indirect investment deduction way should be selected; government needs to choose a different policy combination according to the different policy targets to promote R&D funding rational allocation among different subjects, in the situation of the limited government funds, the priority R&D funding should be for enterprises, universities, research institutions; government should encourage universities and research institutions R&D funds to invest into the foundation and applied research field, but for enterprise, should first increase the experimental development funding, then funding for applied research and basic research.Fifth, discuss the possible situation of government R&D investment related supporting policy, and on this basis, the government R&D investment and related policy combination to experiment and make adjustment plan of government R&D investment combination and related supporting policies. The results show that, in order to get more scientific innovation output, the government increased R&D investment needs to be supported by the information technology platform and technology intermediary service platform building related supporting policies. In order to get more technological innovation output, under the premise of increased R&D investment, government needs science and technology intermediary service platform construction match to the College Education-related policies.