Optimization of Subsidy Policy for New Energy Automobile Industry in China Based on an Integrated Fuzzy-AHP-TOPSIS Methodology

Xiaojia Wang,Hui Liu,Yiming Song,Xuan Zhang

doi:10.1155/2019/4304806

Abstract

With the continuous tension of the international energy supply and the increasing appeal of the global environmental protection, the development of the new energy vehicle industry has attracted international attention. In order to support the development of new energy automobile production, China has frequently issued support policies. However, the problem of subsidy fraud has been exposed. Therefore, in order to help the healthy development of China’s new energy automobile industry and reduce the risk of subsidy fraud, this paper investigates 15 representative new energy auto enterprises in China and independently evaluates their performance from three aspects. We first use triangular fuzzy numbers (TFNs) to simulate an uncertain decision environment and more closely reflect the decision maker’s thinking model; we then propose an analytic hierarchy process (AHP)-technique for order preference by similarity to an ideal solution (TOPSIS) method based on fuzzy data to rank 15 enterprises. Finally, according to the performance of enterprises, we propose differentiated subsidy policy recommendations. The model proposed in this paper takes into account the uncertainty of subjective evaluation so as to increase the credibility of the results. At the same time, the model can also be applied in other industries.

Highlights

With the continuous tension of the international energy supply and the increasing appeal of the global environmental protection, the development of the new energy vehicle industry has attracted international attention
We first use triangular fuzzy numbers (TFNs) to simulate an uncertain decision environment and more closely reflect the decision maker’s thinking model; we propose an analytic hierarchy process (AHP)-technique for order preference by similarity to an ideal solution (TOPSIS) method based on fuzzy data to rank 15 enterprises
We can see from the past year’s production and sales that the exposure of the “subsidy fraud” problem has greatly reduced the growth rate of domestic production and sales of new energy vehicles. is problem is caused by the insufficient supervision of the relevant government and the low threshold of subsidies. is paper evaluates 15 new energy automobile companies and formulates a differentiated subsidy policy according to the ranking, which provides new ideas for the formulation of new subsidy policy

Summary

Introduction

With the continuous tension of the international energy supply and the increasing appeal of the global environmental protection, the development of the new energy vehicle industry has attracted international attention. In order to support the development of new energy automobile production, China has frequently issued support policies. Erefore, in order to help the healthy development of China’s new energy automobile industry and reduce the risk of subsidy fraud, this paper investigates 15 representative new energy auto enterprises in China and independently evaluates their performance from three aspects. New energy vehicle (NEV) is an innovative way of energy saving It is recognized as one of the most promising means to reduce carbon emissions in the transportation industry. The subsidy policy is the most powerful, which has greatly promoted the development of new energy vehicle industry. In order to promote the popularization and application of new energy vehicles, the central finance issued a total subsidy of 33 billion 435 million yuan from 2009 to the end of 2015. A simple calculation shows that the total number of vehicles involved in fraud accounts for 15.4% of the total output

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