Loading…

Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries

This study focuses primarily on the New Energy Vehicles (NEV) industry in China, which will lead to new resource challenges and supply chain risks, establishing a comprehensive supply chain pedigree of listed NEV firms in the China stock markets. The VAR model and DCC-GARCH model are used to analyse...

Full description

Saved in:
Bibliographic Details
Published in:Energy (Oxford) 2023-01, Vol.262, p.125420, Article 125420
Main Authors: Shi, Yangyan, Feng, Yu, Zhang, Qi, Shuai, Jing, Niu, Jiangxin
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3
cites cdi_FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3
container_end_page
container_issue
container_start_page 125420
container_title Energy (Oxford)
container_volume 262
creator Shi, Yangyan
Feng, Yu
Zhang, Qi
Shuai, Jing
Niu, Jiangxin
description This study focuses primarily on the New Energy Vehicles (NEV) industry in China, which will lead to new resource challenges and supply chain risks, establishing a comprehensive supply chain pedigree of listed NEV firms in the China stock markets. The VAR model and DCC-GARCH model are used to analyse the risk spillover effect of NEV firms' stock markets, lithium battery suppliers' stock markets, and the raw materials’ spot markets. We analyse the potential risk spillover between supply chain members of three lithium battery firms from a micro-perspective. The findings of this study are that (1) there is a significant spillover effect between lithium battery stock prices and NEV stock prices; (2) the raw material price of lithium battery does not have considerable impact on lithium battery stock price and NEV stock price; and (3) taking CATL, BYD and GUOXUAN as examples, they basically have significant spillover effects with their related enterprises, and only a few enterprises have insignificant dynamic conditional coefficients. The key contribution of the research is a pilot study to analyse the multiple dimensional risk spillover effects on NEV firms in China from macro- and micro-levels, as well as the stock and spot markets. •Investigated how raw materials prices affect NEV industry from risk spillover angle.•Built a supply chain pedigree of NEV, centered on lithium battery enterprises.•Measured risk spillover of NEV stock and spot market.
doi_str_mv 10.1016/j.energy.2022.125420
format article
fullrecord <record><control><sourceid>elsevier_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1016_j_energy_2022_125420</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360544222023027</els_id><sourcerecordid>S0360544222023027</sourcerecordid><originalsourceid>FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3</originalsourceid><addsrcrecordid>eNp9kL1Ow0AQhK8AiRB4A4rtqGzu144bEAq_UiQaqE-X8xpf4tjRneMoD8E7c5apqVbanRntfITcMJoyyrK7TYot-u9TyinnKeNKcnpGZlRkNFFS8gtyGcKGUqoWRTEjP08dBljWrjW3AVo8wmSHAWtnm3gLh_2-OYGtjWsh9J3dws74LfZQmwHBu7CFsHdN0w3owwM8D67E1iJUvtuBN8co79E708Deu7jHqkLbQ9dC4_raHXawNv2owHBFzivTBLz-m3Py9fL8uXxLVh-v78vHVWIFzfrEUlMpllPOKpWtc2uEYKVQhZWiKGSu8pyXIsuNZJLnC5upcm0kloxJtCaaxJzIKdf6LgSPlY6vxVYnzageMeqNnjjoEaOeMEbb_WTD-Nvg0Otg3di1dD5W0mXn_g_4BZWVggs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries</title><source>ScienceDirect Journals</source><creator>Shi, Yangyan ; Feng, Yu ; Zhang, Qi ; Shuai, Jing ; Niu, Jiangxin</creator><creatorcontrib>Shi, Yangyan ; Feng, Yu ; Zhang, Qi ; Shuai, Jing ; Niu, Jiangxin</creatorcontrib><description>This study focuses primarily on the New Energy Vehicles (NEV) industry in China, which will lead to new resource challenges and supply chain risks, establishing a comprehensive supply chain pedigree of listed NEV firms in the China stock markets. The VAR model and DCC-GARCH model are used to analyse the risk spillover effect of NEV firms' stock markets, lithium battery suppliers' stock markets, and the raw materials’ spot markets. We analyse the potential risk spillover between supply chain members of three lithium battery firms from a micro-perspective. The findings of this study are that (1) there is a significant spillover effect between lithium battery stock prices and NEV stock prices; (2) the raw material price of lithium battery does not have considerable impact on lithium battery stock price and NEV stock price; and (3) taking CATL, BYD and GUOXUAN as examples, they basically have significant spillover effects with their related enterprises, and only a few enterprises have insignificant dynamic conditional coefficients. The key contribution of the research is a pilot study to analyse the multiple dimensional risk spillover effects on NEV firms in China from macro- and micro-levels, as well as the stock and spot markets. •Investigated how raw materials prices affect NEV industry from risk spillover angle.•Built a supply chain pedigree of NEV, centered on lithium battery enterprises.•Measured risk spillover of NEV stock and spot market.</description><identifier>ISSN: 0360-5442</identifier><identifier>DOI: 10.1016/j.energy.2022.125420</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Carbon neautrality ; China ; DCC-GARCH ; New energy vehicles (NEV) ; Risk management</subject><ispartof>Energy (Oxford), 2023-01, Vol.262, p.125420, Article 125420</ispartof><rights>2022 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3</citedby><cites>FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3</cites><orcidid>0000-0002-5551-0652 ; 0000-0002-6138-2167 ; 0000-0002-3877-5990</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Shi, Yangyan</creatorcontrib><creatorcontrib>Feng, Yu</creatorcontrib><creatorcontrib>Zhang, Qi</creatorcontrib><creatorcontrib>Shuai, Jing</creatorcontrib><creatorcontrib>Niu, Jiangxin</creatorcontrib><title>Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries</title><title>Energy (Oxford)</title><description>This study focuses primarily on the New Energy Vehicles (NEV) industry in China, which will lead to new resource challenges and supply chain risks, establishing a comprehensive supply chain pedigree of listed NEV firms in the China stock markets. The VAR model and DCC-GARCH model are used to analyse the risk spillover effect of NEV firms' stock markets, lithium battery suppliers' stock markets, and the raw materials’ spot markets. We analyse the potential risk spillover between supply chain members of three lithium battery firms from a micro-perspective. The findings of this study are that (1) there is a significant spillover effect between lithium battery stock prices and NEV stock prices; (2) the raw material price of lithium battery does not have considerable impact on lithium battery stock price and NEV stock price; and (3) taking CATL, BYD and GUOXUAN as examples, they basically have significant spillover effects with their related enterprises, and only a few enterprises have insignificant dynamic conditional coefficients. The key contribution of the research is a pilot study to analyse the multiple dimensional risk spillover effects on NEV firms in China from macro- and micro-levels, as well as the stock and spot markets. •Investigated how raw materials prices affect NEV industry from risk spillover angle.•Built a supply chain pedigree of NEV, centered on lithium battery enterprises.•Measured risk spillover of NEV stock and spot market.</description><subject>Carbon neautrality</subject><subject>China</subject><subject>DCC-GARCH</subject><subject>New energy vehicles (NEV)</subject><subject>Risk management</subject><issn>0360-5442</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kL1Ow0AQhK8AiRB4A4rtqGzu144bEAq_UiQaqE-X8xpf4tjRneMoD8E7c5apqVbanRntfITcMJoyyrK7TYot-u9TyinnKeNKcnpGZlRkNFFS8gtyGcKGUqoWRTEjP08dBljWrjW3AVo8wmSHAWtnm3gLh_2-OYGtjWsh9J3dws74LfZQmwHBu7CFsHdN0w3owwM8D67E1iJUvtuBN8co79E708Deu7jHqkLbQ9dC4_raHXawNv2owHBFzivTBLz-m3Py9fL8uXxLVh-v78vHVWIFzfrEUlMpllPOKpWtc2uEYKVQhZWiKGSu8pyXIsuNZJLnC5upcm0kloxJtCaaxJzIKdf6LgSPlY6vxVYnzageMeqNnjjoEaOeMEbb_WTD-Nvg0Otg3di1dD5W0mXn_g_4BZWVggs</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Shi, Yangyan</creator><creator>Feng, Yu</creator><creator>Zhang, Qi</creator><creator>Shuai, Jing</creator><creator>Niu, Jiangxin</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-5551-0652</orcidid><orcidid>https://orcid.org/0000-0002-6138-2167</orcidid><orcidid>https://orcid.org/0000-0002-3877-5990</orcidid></search><sort><creationdate>20230101</creationdate><title>Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries</title><author>Shi, Yangyan ; Feng, Yu ; Zhang, Qi ; Shuai, Jing ; Niu, Jiangxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Carbon neautrality</topic><topic>China</topic><topic>DCC-GARCH</topic><topic>New energy vehicles (NEV)</topic><topic>Risk management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shi, Yangyan</creatorcontrib><creatorcontrib>Feng, Yu</creatorcontrib><creatorcontrib>Zhang, Qi</creatorcontrib><creatorcontrib>Shuai, Jing</creatorcontrib><creatorcontrib>Niu, Jiangxin</creatorcontrib><collection>CrossRef</collection><jtitle>Energy (Oxford)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shi, Yangyan</au><au>Feng, Yu</au><au>Zhang, Qi</au><au>Shuai, Jing</au><au>Niu, Jiangxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries</atitle><jtitle>Energy (Oxford)</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>262</volume><spage>125420</spage><pages>125420-</pages><artnum>125420</artnum><issn>0360-5442</issn><abstract>This study focuses primarily on the New Energy Vehicles (NEV) industry in China, which will lead to new resource challenges and supply chain risks, establishing a comprehensive supply chain pedigree of listed NEV firms in the China stock markets. The VAR model and DCC-GARCH model are used to analyse the risk spillover effect of NEV firms' stock markets, lithium battery suppliers' stock markets, and the raw materials’ spot markets. We analyse the potential risk spillover between supply chain members of three lithium battery firms from a micro-perspective. The findings of this study are that (1) there is a significant spillover effect between lithium battery stock prices and NEV stock prices; (2) the raw material price of lithium battery does not have considerable impact on lithium battery stock price and NEV stock price; and (3) taking CATL, BYD and GUOXUAN as examples, they basically have significant spillover effects with their related enterprises, and only a few enterprises have insignificant dynamic conditional coefficients. The key contribution of the research is a pilot study to analyse the multiple dimensional risk spillover effects on NEV firms in China from macro- and micro-levels, as well as the stock and spot markets. •Investigated how raw materials prices affect NEV industry from risk spillover angle.•Built a supply chain pedigree of NEV, centered on lithium battery enterprises.•Measured risk spillover of NEV stock and spot market.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.energy.2022.125420</doi><orcidid>https://orcid.org/0000-0002-5551-0652</orcidid><orcidid>https://orcid.org/0000-0002-6138-2167</orcidid><orcidid>https://orcid.org/0000-0002-3877-5990</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0360-5442
ispartof Energy (Oxford), 2023-01, Vol.262, p.125420, Article 125420
issn 0360-5442
language eng
recordid cdi_crossref_primary_10_1016_j_energy_2022_125420
source ScienceDirect Journals
subjects Carbon neautrality
China
DCC-GARCH
New energy vehicles (NEV)
Risk management
title Does China's new energy vehicles supply chain stock market have risk spillovers? Evidence from raw material price effect on lithium batteries
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T16%3A26%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-elsevier_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Does%20China's%20new%20energy%20vehicles%20supply%20chain%20stock%20market%20have%20risk%20spillovers?%20Evidence%20from%20raw%20material%20price%20effect%20on%20lithium%20batteries&rft.jtitle=Energy%20(Oxford)&rft.au=Shi,%20Yangyan&rft.date=2023-01-01&rft.volume=262&rft.spage=125420&rft.pages=125420-&rft.artnum=125420&rft.issn=0360-5442&rft_id=info:doi/10.1016/j.energy.2022.125420&rft_dat=%3Celsevier_cross%3ES0360544222023027%3C/elsevier_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c306t-c0af517021f56b7ca331d359c4399475772d367a414278c65dba4ed114eca21f3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true