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Research On Urban Health Care Consumption Behavior In China Based On Dynamic Program-Ming

Posted on:2020-11-10Degree:MasterType:Thesis
Country:ChinaCandidate:L Z XuFull Text:PDF
GTID:2404330596981717Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
The demand for health care services is an important livelihood issue related to people's daily life.Since the reform and opening up,with the development of China's economy,the income of residents has been increasing and the consumption concept has changed.So the demand for health care services has increased accordingly.Health care consumption expenditure is increasing year by year,on the one hand,because people's purchasing power and the attention to health are constantly increasing,on the other hand,it is also closely related to the reform of China's medical system.Health care consumption has become the key to ensuring the health of residents.It has become a hot spot for family life consumption and has become one of the potential forces to promote economic and social development.Therefore,this paper constructs a dynamic programming model to get the internal causes and changing rules of the health care expenditure of urban residents in China,which has a certain reference significance for the healthy development of the health care industry,the orderly advancement of the health care system reform and the policy formulation of the relevant government departments.Firstly,this paper separates health care consumption from overall consumption,and constructs a dynamic programming model with two-dimensional state variables of disposable funds and health status under the conditions of health uncertainty and intertemporal budget constraints.Secondly,this paper adopts the inverse iterative method and numerical calculation for the model by setting parameters,and simulates the decision-making of health care consumption of urban residents in the life cycle of our country dynamically?By doing so,we obtain the best path of medical and health care consumption of urban residents in the life cycle of our country,and compares it with the income level of residents.The results show that the imbalance between income and health expenditure is very significant in human life.At the same time,this paper makes sensitivity analysis of the benchmark model and observes the influence level of the change of the parameter value on the behavior of health care consumption expenditure.The results show that the changes of financial asset return rate have a greater impact on residents' decision-making in the younger period,while the changes of risk aversion coefficient and healthy depreciation rate have a greater impact on residents' decision-making in the middle and old age,while the changes of subjective discount factor have no significant dif-ference on residents' decision-making at all stages.Finally,according to the conclusions,the paper puts forward corresponding suggestions to the residents and the government.The innovations of this paper are:(1)Innovation of the method.In the existing empirical research on the health care consumption behavior of urban residents in China,most of them use the econometric method for analysis.However,this paper considers that the medical decision-making in the life cycle of residents is a dynamic process.Therefore,it is more reasonable to use dynamic programming to conduct the research.(2)Two-dimensional state variables are used.When most scholars study residents' consumption behavior,the dynamic programming model they construct only includes the state variable of disposable funds.In this paper,health status is introduced as an endogenous state variable in the behavior model of residents' health care consumption,and establishes a dynamic programming model with two-dimensional state variables of disposable funds and health status.It has positive significance for measuring and analyzing the health care expenditure behavior of urban residents in China,and also provides new methods and ideas for follow-up scholars.
Keywords/Search Tags:Health Care Consumption, Dynamic Programming, Health Uncertainty, Intertemporal Budget Constraint, Life Cycle
PDF Full Text Request
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