Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model
The primary purpose of this paper is to discuss whether NEV enterprises can achieve synchronous effects with the whole Chinese automobile industry in terms of growth mode. In this paper, we study the development of new energy vehicles from the perspective of ecosystem. Growth mechanisms and synchron...
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Veröffentlicht in: | Sustainability 2022-12, Vol.14 (24), p.16497 |
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description | The primary purpose of this paper is to discuss whether NEV enterprises can achieve synchronous effects with the whole Chinese automobile industry in terms of growth mode. In this paper, we study the development of new energy vehicles from the perspective of ecosystem. Growth mechanisms and synchronization effects also exist in new energy enterprise populations, just like biological populations in natural ecosystems. Here, we propose a moving logistic model to analyze the growth mechanism of new energy vehicle enterprises and obtain serial data of intrinsic growth rate, internal inhibition coefficient, and theoretical maximum sales volume. The intrinsic growth rate and theoretical maximum sales volume show an initial trend of decline followed by recovery. The evaluation results of coupling degree and synchronization of the new energy vehicle population were obtained through the measurement of the Kuramoto model and its derivative model. The coupling degree of the new energy vehicle population is not high, and the synchronization effect fluctuates and oscillates. The change trend of synchronization effect is similar to that of intrinsic growth rate and theoretical maximum sales volume. This phenomenon shows that the new energy vehicle population has been significantly affected by changes in the external market environment. The analysis method of enterprise growth mechanism based on the moving logistic model and the measurement method of coupling degree and synchronization effect based on the Kuramoto model and its derivative models proposed in this paper effectively achieve the research objectives of this paper. |
doi_str_mv | 10.3390/su142416497 |
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In this paper, we study the development of new energy vehicles from the perspective of ecosystem. Growth mechanisms and synchronization effects also exist in new energy enterprise populations, just like biological populations in natural ecosystems. Here, we propose a moving logistic model to analyze the growth mechanism of new energy vehicle enterprises and obtain serial data of intrinsic growth rate, internal inhibition coefficient, and theoretical maximum sales volume. The intrinsic growth rate and theoretical maximum sales volume show an initial trend of decline followed by recovery. The evaluation results of coupling degree and synchronization of the new energy vehicle population were obtained through the measurement of the Kuramoto model and its derivative model. The coupling degree of the new energy vehicle population is not high, and the synchronization effect fluctuates and oscillates. The change trend of synchronization effect is similar to that of intrinsic growth rate and theoretical maximum sales volume. This phenomenon shows that the new energy vehicle population has been significantly affected by changes in the external market environment. The analysis method of enterprise growth mechanism based on the moving logistic model and the measurement method of coupling degree and synchronization effect based on the Kuramoto model and its derivative models proposed in this paper effectively achieve the research objectives of this paper.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su142416497</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Automobile industry ; Automobiles ; Biological clocks ; Economic aspects ; Ecosystems ; Electric vehicles ; Electricity distribution ; Energy ; Environmental protection ; Growth ; Growth models ; Growth rate ; Logistics ; Manufacturing ; Mathematical models ; Measurement methods ; Population growth ; Populations ; Research methodology ; Rhythm ; Strategic planning ; Sustainability ; Synchronism ; Synchronization ; Transportation equipment industry ; Vehicles</subject><ispartof>Sustainability, 2022-12, Vol.14 (24), p.16497</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c329t-8b83538320c0ea916be924feb22bccd57087a589949d310fcfeb26e24fd2ca183</cites><orcidid>0000-0002-9264-4860</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Chen, Wanming</creatorcontrib><creatorcontrib>Wang, Shengyuan</creatorcontrib><creatorcontrib>Wu, Xiaolan</creatorcontrib><title>Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model</title><title>Sustainability</title><description>The primary purpose of this paper is to discuss whether NEV enterprises can achieve synchronous effects with the whole Chinese automobile industry in terms of growth mode. In this paper, we study the development of new energy vehicles from the perspective of ecosystem. Growth mechanisms and synchronization effects also exist in new energy enterprise populations, just like biological populations in natural ecosystems. Here, we propose a moving logistic model to analyze the growth mechanism of new energy vehicle enterprises and obtain serial data of intrinsic growth rate, internal inhibition coefficient, and theoretical maximum sales volume. The intrinsic growth rate and theoretical maximum sales volume show an initial trend of decline followed by recovery. The evaluation results of coupling degree and synchronization of the new energy vehicle population were obtained through the measurement of the Kuramoto model and its derivative model. The coupling degree of the new energy vehicle population is not high, and the synchronization effect fluctuates and oscillates. The change trend of synchronization effect is similar to that of intrinsic growth rate and theoretical maximum sales volume. This phenomenon shows that the new energy vehicle population has been significantly affected by changes in the external market environment. The analysis method of enterprise growth mechanism based on the moving logistic model and the measurement method of coupling degree and synchronization effect based on the Kuramoto model and its derivative models proposed in this paper effectively achieve the research objectives of this paper.</description><subject>Automobile industry</subject><subject>Automobiles</subject><subject>Biological clocks</subject><subject>Economic aspects</subject><subject>Ecosystems</subject><subject>Electric vehicles</subject><subject>Electricity distribution</subject><subject>Energy</subject><subject>Environmental protection</subject><subject>Growth</subject><subject>Growth models</subject><subject>Growth rate</subject><subject>Logistics</subject><subject>Manufacturing</subject><subject>Mathematical models</subject><subject>Measurement methods</subject><subject>Population growth</subject><subject>Populations</subject><subject>Research methodology</subject><subject>Rhythm</subject><subject>Strategic planning</subject><subject>Sustainability</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>Transportation equipment industry</subject><subject>Vehicles</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkc1u1DAQxyMEElXbEy9giRNC2_ojiWNuy2opFVuQKHCNvM44cZXYi8ehLCdeAx6PJ8FlObT2wfPx-4_tmaJ4xuiZEIqe48xKXrK6VPJRccSpZAtGK_r4nv20OEW8oXkJwRSrj4rfFzHcpoFcgRm0dzgR7TtyvfdmiMG7Hzq54MnaWjCJBEtWg_P6z89fSN7DLVl7iP2efIHBmRGymyDuokPAV2SZZdPORWf0mB097tEhea0ROpJLXoVvzvdkE3qHyZl_176bo55CCjnZwXhSPLF6RDj9fx4Xn9-sP63eLjYfLi5Xy83CCK7Sotk2ohKN4NRQ0PlTW1C8tLDlfGtMV0naSF01SpWqE4xac5eqISMdN5o14rh4fqi7i-HrDJjamzDH_GBsuazqhlMuVabODlSvR2idtyFFbfLuYHImeLAux5eyrGslKZNZ8OKBIDMJvqdez4jt5fXHh-zLA2tiQIxg29zFScd9y2h7N9z23nDFXxrVmA4</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Chen, Wanming</creator><creator>Wang, Shengyuan</creator><creator>Wu, Xiaolan</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>7X5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>K6~</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-9264-4860</orcidid></search><sort><creationdate>20221201</creationdate><title>Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model</title><author>Chen, Wanming ; Wang, Shengyuan ; Wu, Xiaolan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c329t-8b83538320c0ea916be924feb22bccd57087a589949d310fcfeb26e24fd2ca183</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Automobile industry</topic><topic>Automobiles</topic><topic>Biological clocks</topic><topic>Economic aspects</topic><topic>Ecosystems</topic><topic>Electric vehicles</topic><topic>Electricity distribution</topic><topic>Energy</topic><topic>Environmental protection</topic><topic>Growth</topic><topic>Growth models</topic><topic>Growth rate</topic><topic>Logistics</topic><topic>Manufacturing</topic><topic>Mathematical models</topic><topic>Measurement methods</topic><topic>Population growth</topic><topic>Populations</topic><topic>Research methodology</topic><topic>Rhythm</topic><topic>Strategic planning</topic><topic>Sustainability</topic><topic>Synchronism</topic><topic>Synchronization</topic><topic>Transportation equipment industry</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Wanming</creatorcontrib><creatorcontrib>Wang, Shengyuan</creatorcontrib><creatorcontrib>Wu, Xiaolan</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Business Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Wanming</au><au>Wang, Shengyuan</au><au>Wu, Xiaolan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model</atitle><jtitle>Sustainability</jtitle><date>2022-12-01</date><risdate>2022</risdate><volume>14</volume><issue>24</issue><spage>16497</spage><pages>16497-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>The primary purpose of this paper is to discuss whether NEV enterprises can achieve synchronous effects with the whole Chinese automobile industry in terms of growth mode. In this paper, we study the development of new energy vehicles from the perspective of ecosystem. Growth mechanisms and synchronization effects also exist in new energy enterprise populations, just like biological populations in natural ecosystems. Here, we propose a moving logistic model to analyze the growth mechanism of new energy vehicle enterprises and obtain serial data of intrinsic growth rate, internal inhibition coefficient, and theoretical maximum sales volume. The intrinsic growth rate and theoretical maximum sales volume show an initial trend of decline followed by recovery. The evaluation results of coupling degree and synchronization of the new energy vehicle population were obtained through the measurement of the Kuramoto model and its derivative model. The coupling degree of the new energy vehicle population is not high, and the synchronization effect fluctuates and oscillates. 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subjects | Automobile industry Automobiles Biological clocks Economic aspects Ecosystems Electric vehicles Electricity distribution Energy Environmental protection Growth Growth models Growth rate Logistics Manufacturing Mathematical models Measurement methods Population growth Populations Research methodology Rhythm Strategic planning Sustainability Synchronism Synchronization Transportation equipment industry Vehicles |
title | Growth Mechanism and Synchronization Effect of China’s New Energy Vehicle Enterprises: An Empirical Analysis Based on Moving Logistic and Kuramoto Model |
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