China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model

To protect energy resources and alleviate environmental pollution, many countries attach great importance to the transformation of traditional industries into clean energy industries. In this paper, fuel vehicles (FVs), hybrid vehicles (HVs), and electric vehicles (EVs) are included in the research....

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Main Authors: Baojian Zhang, Pengli Li, Huaguo Zhou, Xiaohang Yue
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/3435953
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author Baojian Zhang
Pengli Li
Huaguo Zhou
Xiaohang Yue
author_facet Baojian Zhang
Pengli Li
Huaguo Zhou
Xiaohang Yue
author_sort Baojian Zhang
collection DOAJ
description To protect energy resources and alleviate environmental pollution, many countries attach great importance to the transformation of traditional industries into clean energy industries. In this paper, fuel vehicles (FVs), hybrid vehicles (HVs), and electric vehicles (EVs) are included in the research. Then, based on the aging chain and coflow theory of SDs, we construct a dynamic matching model of the auto industry upgrade process and its energy consumption attributes. The simulation results of China’s auto industry show that (1) the upgrading of the auto industry is an evolutionary process from high energy consumption and high pollution to low energy consumption and no pollution and the transition from FVs and HVs to EVs will undergo two adjustments; (2) simply reducing energy supply does not have the expected impact on vehicle size and vehicle energy consumption intensity and only by adjusting the energy supply and upgrade ratios together, energy utilization efficiency can be improved; (3) market screening time has an impact on auto industry upgrade speed by affecting vehicle market share and dwell time; (4) China’s auto industry upgrade process should adhere to “problem-oriented” and strengthen consumer guidance, technology innovation, and infrastructure construction. The conclusions can provide references for industrial policy adjustment and industrial structure optimization.
format Article
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institution OA Journals
issn 1076-2787
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publishDate 2021-01-01
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spelling doaj-art-259c7e26e0924fc7bfd29e04f0e097ba2025-08-20T02:04:27ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/34359533435953China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow ModelBaojian Zhang0Pengli Li1Huaguo Zhou2Xiaohang Yue3School of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, ChinaFaculty of Business Administration, Shanxi University of Finance and Economics, Taiyuan 030006, ChinaDepartment of Civil Engineering, Auburn University, Auburn, AL 36849-5337, USALubar School of Business, University of Wisconsin Milwaukee, Milwaukee, WI 53201, USATo protect energy resources and alleviate environmental pollution, many countries attach great importance to the transformation of traditional industries into clean energy industries. In this paper, fuel vehicles (FVs), hybrid vehicles (HVs), and electric vehicles (EVs) are included in the research. Then, based on the aging chain and coflow theory of SDs, we construct a dynamic matching model of the auto industry upgrade process and its energy consumption attributes. The simulation results of China’s auto industry show that (1) the upgrading of the auto industry is an evolutionary process from high energy consumption and high pollution to low energy consumption and no pollution and the transition from FVs and HVs to EVs will undergo two adjustments; (2) simply reducing energy supply does not have the expected impact on vehicle size and vehicle energy consumption intensity and only by adjusting the energy supply and upgrade ratios together, energy utilization efficiency can be improved; (3) market screening time has an impact on auto industry upgrade speed by affecting vehicle market share and dwell time; (4) China’s auto industry upgrade process should adhere to “problem-oriented” and strengthen consumer guidance, technology innovation, and infrastructure construction. The conclusions can provide references for industrial policy adjustment and industrial structure optimization.http://dx.doi.org/10.1155/2021/3435953
spellingShingle Baojian Zhang
Pengli Li
Huaguo Zhou
Xiaohang Yue
China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model
Complexity
title China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model
title_full China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model
title_fullStr China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model
title_full_unstemmed China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model
title_short China’s Auto Industry Upgrade Process Based on Aging Chain and Coflow Model
title_sort china s auto industry upgrade process based on aging chain and coflow model
url http://dx.doi.org/10.1155/2021/3435953
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AT penglili chinasautoindustryupgradeprocessbasedonagingchainandcoflowmodel
AT huaguozhou chinasautoindustryupgradeprocessbasedonagingchainandcoflowmodel
AT xiaohangyue chinasautoindustryupgradeprocessbasedonagingchainandcoflowmodel