Optimization Research Of Latecomer Firm Innovative Decision And Local Government Policy Decision

Under the background of globalization,the new technology and the escalation of consumer demand makes enterprises in the vortex of uncertainty.Due to the dual pressure of competition and cost,many multinational companies will target markets from developed to developing countries,local enterprises and thus face enormous challenges.Compared with the "first-in",after the enterprises in the resources and capacity,etc.at a disadvantage,a better decision-making innovation model can become the key to the competitiveness of enterprises can build.Government plays a key role in the process of technological innovation decision-making.Whether the local government can provide a suitable platform determines whether the independent R & D-type enterprises can remain competitive,and different incentive policies will directly affect the operation mode of the enterprise.Therefore,it is necessary to consider the influence of local government policy in the optimization of enterprise innovation,that is,whether the local government encourages such innovation or suppresses such innovation;After the optimization of the enterprise's innovation decision-making is complete,the local government will evaluate the impact of such innovation activities and products on society,environment and order,and formulate a new policy system to meet the needs of the innovation activities.Its purpose or public service objectives or local interests to maximize the purpose.At this point,a phase of the impact of decision-making mode to complete.And the innovation decision is a dynamic process,so the enterprise innovation decision and the local government policy decision is also a time-varying correlation optimization process.This paper first analyzes the decision-making of enterprise innovation and local government policy deeply,and establishes the theoretical foundation for model construction and case analysis.Then,based on the enterprise perspective,this paper studies the optimization problem of a kind of R & D-oriented enterprises facing the dilemma of technological innovation decision-making,establishes the 0-1 nonlinear decision-making model with the consumer surplus as the optimization goal,quantifies the destructive innovation and Maintain the innovation of the market returns for enterprise decision-making product family to provide the basis for innovative models.The genetic algorithm is used to solve the model,and the models and algorithms are illustrated by the case of automobile enterprises.The feasibility and rationality of the optimization model and the method are proved.Then,it also studies the influence of different local government policies on the innovation decision-making of enterprises based on the enterprise perspective.According to the local government also plays the role of agents and self-beneficiaries of the dual role of distinguishing different types of local government.A 0-1 nonlinear objective programming model with the goal of maximizing the profit of enterprises is established to quantify the incentive policies of different types of local governments for two kinds of innovation models,and the model is illustrated in the case of bicycle factory.Finally,this paper studies the decision-making optimization of local government's green destructive innovation based on the government's angle of view,so as to meet the government's indirect influence on enterprise decision-making through public infrastructure construction.A 0-1 nonlinear objective programming model is established to maximize the efficiency of environmental pollution control.It provides the basis for government decision-making on the number and location of charging piles,and elaborates the optimization process with a city as a case.