Strategic Choices of China's New Energy Vehicle Industry: An Analysis Based on ANP and SWOT

被引:35
作者
Wang, Xiaojia [1 ,2 ]
Li, Chenggong [1 ]
Shang, Jennifer [3 ]
Yang, Changhui [1 ]
Zhang, Bingli [4 ]
Ke, Xinsheng [5 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 23009, Peoples R China
[2] Hefei Univ Technol, Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 23009, Peoples R China
[3] Univ Pittsburgh, Joseph M Katz Grad Sch Business, Pittsburgh, PA 15260 USA
[4] Hefei Univ Technol, Sch Traff & Transportat Engn, Hefei 23009, Peoples R China
[5] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
基金
中国国家自然科学基金;
关键词
new energy vehicles; SWOT analysis; ANP; strategic research; NETWORK PROCESS;
D O I
10.3390/en10040537
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This goal of this paper is to provide a framework by which China should accelerate the development and production of new energy vehicles, which should effectively address current energy and environmental pressures, while promoting the sustainable development of the automotive industry, which is an urgent task. In addition, this paper provides guidelines that seek to transform China's auto industry while developing a new economic growth point to gain an international competitive advantage with strategic initiatives. This study aims to provide an ANP-SWOT (Analytic Network Process and Strength-Weakness-Opportunity-Threat analysis) approach for an interdependency analysis and to prioritize the new energy automobile industry in China. Firstly, a SWOT model is used to analyze the internal and external factors surrounding the development of the new energy automobile industry in China. Secondly, four types of development strategies are proposed by means of the SWOT matrix according to the conclusions of the factor analysis. Finally, the ANP network structure is designed to measure the effects of influential sub-factors, and then to define a strategic plan for China's new energy automobile industry. The results of this study show that the optimal short-term development strategy for China's new energy automotive industry is to increase the construction of new energy vehicle-related facilities, while the best long-term development strategy is to use local advantages and resources, through cost control measures which increase competition within the local new energy automotive industry.
引用
收藏
页数:27
相关论文
共 37 条
  • [21] Integrated analytic hierarchy process and its applications - A literature review
    Ho, William
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 186 (01) : 211 - 228
  • [22] IEA, 2016, WORLD EN OUTL
  • [23] Making use of MCDS methods in SWOT analysis-Lessons learnt in strategic natural resources management
    Kajanus, Miika
    Leskinen, Pekka
    Kurttila, Mikko
    Kangas, Jyrki
    [J]. FOREST POLICY AND ECONOMICS, 2012, 20 : 1 - 9
  • [24] Comprehensive Topological Analysis of Conductive and Inductive Charging Solutions for Plug-In Electric Vehicles
    Khaligh, Alireza
    Dusmez, Serkan
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2012, 61 (08) : 3475 - 3489
  • [25] Utilizing the analytic hierarchy process (AHP) in SWOT analysis - A hybrid method and its application to a forest-certification case
    Kurttila, Mikko
    Pesonen, Mauno
    Kangas, Jyrki
    Kajanus, Miika
    [J]. Forest Policy and Economics, 2000, 1 (01) : 41 - 52
  • [26] An ANP-based technology network for identification of core technologies: A case of telecommunication technologies
    Lee, Hakyeon
    Kim, Chulhyun
    Cho, Hyunmyung
    Park, Yongtae
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (01) : 894 - 908
  • [27] Who does what in China's new energy vehicle industry?
    Liu, Yingqi
    Kokko, Ari
    [J]. ENERGY POLICY, 2013, 57 : 21 - 29
  • [28] Mazzucato M., 2018, The Entrepreneurial State
  • [29] Pahl Nadine e., 2009, - SWOT Analysis - Idea, Methodology And A Practical Approach
  • [30] Decision making — the Analytic Hierarchy and Network Processes (AHP/ANP)
    Thomas L. Saaty
    [J]. Journal of Systems Science and Systems Engineering, 2004, 13 (1) : 1 - 35