{"id":"https://openalex.org/W7225799207","doi":"https://doi.org/10.3390/en19225413","title":"Artificial Intelligence and Resilience Efficiency in China\u2019s New Energy Industry: Evidence from Production, Storage, and Application Segments","display_name":"Artificial Intelligence and Resilience Efficiency in China\u2019s New Energy Industry: Evidence from Production, Storage, and Application Segments","publication_year":2026,"publication_date":"2026-11-11","ids":{"openalex":"https://openalex.org/W7225799207","doi":"https://doi.org/10.3390/en19225413"},"language":"en","primary_location":{"id":"doi:10.3390/en19225413","doi":"https://doi.org/10.3390/en19225413","is_oa":true,"landing_page_url":"https://doi.org/10.3390/en19225413","pdf_url":null,"source":{"id":"https://openalex.org/S198098182","display_name":"Energies","issn_l":"1996-1073","issn":["1996-1073"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energies","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/en19225413","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046276266","display_name":"Li Ji","orcid":"https://orcid.org/0000-0001-5497-5004","observed_orcids":["https://orcid.org/0000-0001-5497-5004"]},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ji","raw_affiliation_strings":["School of Business, Nanjing Normal University, Nanjing 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Business, Nanjing Normal University, Nanjing 210000, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161475362","display_name":"Hoa Thanh Diep","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405272340","display_name":"University of Phan Thiet","ror":"https://ror.org/040ydmk84","country_code":"VN","type":"education","lineage":["https://openalex.org/I4405272340"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Hoa Thanh Diep","raw_affiliation_strings":["University of Phan Thiet, Phan Thiet 670000, Lam Dong Province, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Phan Thiet, Phan Thiet 670000, Lam Dong Province, Vietnam","institution_ids":["https://openalex.org/I4405272340"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082287977","display_name":"Li Yang","orcid":"https://orcid.org/0000-0003-3661-2255","observed_orcids":["https://orcid.org/0000-0003-3661-2255"]},"institutions":[{"id":"https://openalex.org/I4210104344","display_name":"Ningxia Academy of Agriculture and Forestry Sciences","ror":"https://ror.org/019dkz313","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210104344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yang","raw_affiliation_strings":["Institute of Agricultural Economics and Information Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Agricultural Economics and Information Technology, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750000, China","institution_ids":["https://openalex.org/I4210104344"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":"22","first_page":"5413","last_page":"5413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.010599999688565731,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12958","display_name":"Digital Economy and Transformation","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.8389999866485596},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.7651000022888184},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.5593000054359436},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.450300008058548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41780000925064087},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.4000999927520752},{"id":"https://openalex.org/C137176749","wikidata":"https://www.wikidata.org/wiki/Q4105337","display_name":"Psychological resilience","level":2,"score":0.3993000090122223},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.35989999771118164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3474999964237213},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3249000012874603},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.32429999113082886},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3052000105381012},{"id":"https://openalex.org/C2982926626","wikidata":"https://www.wikidata.org/wiki/Q1962383","display_name":"Sustainable energy","level":3,"score":0.2946000099182129},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2831999957561493},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.27730000019073486},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C107826830","wikidata":"https://www.wikidata.org/wiki/Q929380","display_name":"Environmental resource management","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/en19225413","doi":"https://doi.org/10.3390/en19225413","is_oa":true,"landing_page_url":"https://doi.org/10.3390/en19225413","pdf_url":null,"source":{"id":"https://openalex.org/S198098182","display_name":"Energies","issn_l":"1996-1073","issn":["1996-1073"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/en19225413","doi":"https://doi.org/10.3390/en19225413","is_oa":true,"landing_page_url":"https://doi.org/10.3390/en19225413","pdf_url":null,"source":{"id":"https://openalex.org/S198098182","display_name":"Energies","issn_l":"1996-1073","issn":["1996-1073"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","poland-140","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Energies","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W638342935","https://openalex.org/W1564833621","https://openalex.org/W2000290576","https://openalex.org/W2011303397","https://openalex.org/W2023523802","https://openalex.org/W2058554563","https://openalex.org/W2081384722","https://openalex.org/W2096015313","https://openalex.org/W2125789924","https://openalex.org/W3170554175","https://openalex.org/W3187457679","https://openalex.org/W4200093440","https://openalex.org/W4206372665","https://openalex.org/W4214807058","https://openalex.org/W4282921597","https://openalex.org/W4298620471","https://openalex.org/W4304187829","https://openalex.org/W4312220284","https://openalex.org/W4319844248","https://openalex.org/W4388561958","https://openalex.org/W4388640627","https://openalex.org/W4389295205","https://openalex.org/W4391179274","https://openalex.org/W4392740763","https://openalex.org/W4392979925","https://openalex.org/W4392979982","https://openalex.org/W4394009819","https://openalex.org/W4399915215","https://openalex.org/W4400379396","https://openalex.org/W4400817408","https://openalex.org/W4401479931","https://openalex.org/W4402350084","https://openalex.org/W4402629285","https://openalex.org/W4403015911","https://openalex.org/W4403467907","https://openalex.org/W4403541360","https://openalex.org/W4404214302","https://openalex.org/W4404386983","https://openalex.org/W4404432184","https://openalex.org/W4404691227","https://openalex.org/W4404969826","https://openalex.org/W4405236789","https://openalex.org/W4405237409","https://openalex.org/W4405350706","https://openalex.org/W4405573604","https://openalex.org/W4407308689","https://openalex.org/W4407995802","https://openalex.org/W4408149658","https://openalex.org/W4408177171","https://openalex.org/W4408298302","https://openalex.org/W4408370224","https://openalex.org/W4408474475","https://openalex.org/W4408519085","https://openalex.org/W4408589970","https://openalex.org/W4408788075","https://openalex.org/W4409219091","https://openalex.org/W4411880706","https://openalex.org/W7160398817"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3,54,108],"increasingly":[4],"reshaping":[5],"the":[6,78,96,102,111,118,131,136,171,177,183],"new":[7,24,193],"energy":[8,25,194],"industry,":[9],"yet":[10],"its":[11],"relationship":[12],"with":[13,63,95,130],"enterprise":[14],"resilience":[15,34,83,90,158,191],"remains":[16,92,173],"insufficiently":[17],"understood.":[18],"Using":[19],"54":[20],"Chinese":[21],"A-share":[22],"listed":[23],"enterprises":[26],"from":[27],"2018":[28],"to":[29,56,76,110],"2023,":[30],"this":[31],"study":[32],"evaluates":[33],"efficiency":[35,91,112,122],"across":[36,192],"production,":[37],"storage,":[38],"and":[39,60,82,101,139,156,165,167],"application":[40,137],"segments.":[41,196],"A":[42],"parallel":[43],"two-stage":[44],"dynamic":[45],"directional":[46],"distance":[47],"function":[48],"data":[49],"envelopment":[50],"analysis":[51],"(DDF-DEA)":[52],"model":[53],"developed":[55],"assess":[57],"operational,":[58],"innovative,":[59],"sustainable":[61],"capabilities,":[62],"AI":[64,81,155,187],"incorporated":[65],"as":[66],"an":[67],"exogenous":[68],"environmental":[69],"variable.":[70],"Econometric":[71],"models":[72],"are":[73,124],"further":[74],"used":[75],"examine":[77],"association":[79,153,172],"between":[80,154],"efficiency.":[84,159],"The":[85],"results":[86,145],"show":[87],"that":[88],"overall":[89,157],"relatively":[93],"low,":[94],"production":[97],"segment":[98,104,138],"performing":[99],"best":[100],"storage":[103],"worst.":[105],"Sustainable":[106],"capability":[107,116],"close":[109],"frontier,":[113],"whereas":[114],"innovative":[115],"constitutes":[117],"main":[119],"constraint.":[120],"AI-conditioned":[121],"scores":[123],"generally":[125],"higher":[126],"than":[127],"unconditional":[128],"scores,":[129],"largest":[132],"difference":[133],"observed":[134],"in":[135,141],"primarily":[140],"operational":[142],"capability.":[143],"Regression":[144],"provide":[146],"modest":[147],"statistical":[148],"support":[149],"for":[150,162,189],"a":[151],"positive":[152],"After":[160],"controlling":[161],"firm":[163,166],"characteristics":[164],"year":[168],"fixed":[169],"effects,":[170],"statistically":[174],"significant":[175],"at":[176],"10%":[178],"level.":[179],"These":[180],"findings":[181],"highlight":[182],"importance":[184],"of":[185],"differentiated":[186],"strategies":[188],"strengthening":[190],"industry":[195]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-12T00:00:00"}