Evaluation and analysis of new-energy vehicle industry policies in the context of technical innovation in China

Yang, Tong; Chen, Xing; Li, Xinyu

doi:10.1016/j.jclepro.2020.125126

Cited by 113 publications

(55 citation statements)

References 30 publications

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“…De Clercq et al [37] made use of two machine-learning techniques, i.e., LDA model and multi-label classification algorithm to extract subject words from patent texts and classify patents into multiple cooperative patent categories. Yang et al [38] evaluated and optimized relevant policies of China's new energy vehicle industry based on text mining technology. In the study of Naumanen et al [39], LDA model was used to identify emerging research topics according to papers and patents related to heavy duty BEVs.…”

Section: Application Of Machine-learning Methods In the Field Of Evsmentioning

confidence: 99%

A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model

Ren

Sun

Yuan

2021

Mathematical Problems in Engineering

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Under the goal of carbon peak and carbon neutrality, developing battery electric vehicles (BEVs) is an important way to reduce carbon emissions in the transportation sector. To popularize BEVs as soon as possible, it is necessary to study selection strategies for BEVs from the perspective of consumers. Therefore, the Latent Dirichlet Allocation (LDA) model based on fine-grained sentiment analysis is combined with the multi-criteria decision-making (MCDM) model to assess ten types of BEV alternatives. Fine-grained sentiment analysis is applied to find the vehicle attributes that consumers care about the most based on the word-of-mouth data. The LDA model is suggested to divide topics and construct the indicator system. The MCDM model is used to rank vehicles and put forward the corresponding optimization path to increase consumer purchases of BEVs in China. The results show that (a) via the LDA model based on fine-grained sentiment analysis, attributes that consumers care most about are divided into five topics: dynamics, technology, safety, comfort, and cost; (b) based on the DEMATEL technique, the dimensions in the order of importance are as follows: safety, technology, dynamics, comfort, and cost; (c) the price is the most important criteria that affect customers’ satisfaction by the DANP model; and (d) based on the VIKOR model, the selection strategies present that Aion S is highlighted as the best choice, and the optimization path is discussed to promote the performance of BEVs to increase customers’ satisfaction. The findings can provide a reference for improving the sustainable development of the automobile industry in China. The proposed framework serves as the basis for further discussion of BEVs.

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Section: Application Of Machine-learning Methods In the Field Of Evsmentioning

confidence: 99%

A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model

Ren

Sun

Yuan

2021

Mathematical Problems in Engineering

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“…Set up planning objectives, financial subsidies, and measures to promote new energy vehicles. In June 2009, the Ministry of Industry and Information Technology released the "Energy Vehicle Production Enterprises and Product Access Management Rules" to further improve and binding the "New Energy Vehicle Production Access Management Rules", with the introduction and improvement of the provisions, it marks the rise of new energy vehicles for the national industrial technology strategy [8].…”

Section: The Implementation Of 'Green Taxation'mentioning

confidence: 99%

Policy Analysis of China’s New Energy Vehicle Industry Policy

He¹,

Yin²

2021

Advances in Economics, Business and Management Research

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In order to achieve carbon neutralization, energy conservation and carbon emission reduction have come into focus. In the process of striving to achieve carbon emissions, new energy vehicles have gradually become the key development industry for many countries around the world to achieve energy conservation and emission reduction. This paper analyzes the development process of new energy vehicles and related enterprises in China through literature analysis, case study, and summary induction in the past few years. It selects BYD as the representative enterprise for research. It covers the technical innovation of new energy vehicles, subsidy policies, future development prospects, and suggests some suggestions. The value of this article is the analysis and optimization of China's new energy vehicle industrial policy.

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“…In addition, the PMC-Index model can intuitively show the advantages and disadvantages of a single policy, as well as the score composition of each variable; this can support improvements in specific aspects of a policy [13]. In practice, the PMC-Index model has been consistently validated by several studies in the field of policy evaluation [11,[14][15][16].…”

Section: Introductionmentioning

confidence: 99%

How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

Dai

Zhang

Zong

et al. 2021

IJERPH

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Although many countries around the world, especially China, highlight the strategy of green development, there has been little research evaluating the effectiveness of green development policies in local area. This study explores 16 policy texts with the theme of green development in the Yangtze River Economic Belt in China. Using the Policy Modeling Consistency Index (PMC-Index) model, the paper establishes a multi-input–output policy table and scientifically and systematically evaluates these policies. The results show that the average PMC index of the 16 policy texts is 6.83, indicating a high overall quality of policy texts. The index identifies two states of policy effectiveness as being good and excellent; 50% of the total texts fall into these categories and do not fall into the category of having a low level of policy effectiveness. Five indicators, including policy timeliness, social benefits, policy audience scope, and incentives and constraints, significantly impact the PMC-Index of the policy. Six representative policy samples were selected and analyzed. The advantages and disadvantages of the policy can be more fully understood by the degree of depression of the PMC’s three-dimensional curved surface (PMC-Surface) model. Finally, the paper provides theoretical recommendations for the optimization of the green development policies.

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Evaluation and analysis of new-energy vehicle industry policies in the context of technical innovation in China

Cited by 113 publications

References 30 publications

A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model

A Study on Selection Strategies for Battery Electric Vehicles Based on Sentiments, Analysis, and the MCDM Model

Policy Analysis of China’s New Energy Vehicle Industry Policy

How Effective Is the Green Development Policy of China’s Yangtze River Economic Belt? A Quantitative Evaluation Based on the PMC-Index Model

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