{"id":"https://openalex.org/W7224508656","doi":"https://doi.org/10.1080/13504851.2026.2754965","title":"Higher education in science, engineering, agriculture and medicine and industrial intelligence: evidence from threshold effects","display_name":"Higher education in science, engineering, agriculture and medicine and industrial intelligence: evidence from threshold effects","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224508656","doi":"https://doi.org/10.1080/13504851.2026.2754965"},"language":"en","primary_location":{"id":"doi:10.1080/13504851.2026.2754965","doi":"https://doi.org/10.1080/13504851.2026.2754965","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13504851.2026.2754965","pdf_url":null,"source":{"id":"https://openalex.org/S96544531","display_name":"Applied Economics Letters","issn_l":"1350-4851","issn":["1350-4851","1466-4291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Economics Letters","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133844684","display_name":"Xuejun Liu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejun Liu","raw_affiliation_strings":["Xiamen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xiamen University","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5133844684"],"corresponding_institution_ids":["https://openalex.org/I191208505"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8769172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13406","display_name":"Human Resources and Workforce","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13406","display_name":"Human Resources and Workforce","score":0.5336999893188477,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10393","display_name":"Economic Growth and Productivity","score":0.26899999380111694,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11014","display_name":"Agglomeration and Urban Systems","score":0.01209999993443489,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/higher-education","display_name":"higher education","score":0.8870000243186951},{"id":"https://openalex.org/keywords/industrial-intelligence","display_name":"industrial intelligence","score":0.9760000109672546},{"id":"https://openalex.org/keywords/threshold-effects","display_name":"threshold effects","score":0.7699999809265137},{"id":"https://openalex.org/keywords/science-and-engineering-education","display_name":"science and engineering education","score":0.5389999747276306},{"id":"https://openalex.org/keywords/medical-education","display_name":"medical education","score":0.734000027179718},{"id":"https://openalex.org/keywords/agricultural-education","display_name":"agricultural education","score":0.8569999933242798},{"id":"https://openalex.org/keywords/chinese-provinces","display_name":"Chinese provinces","score":0.7110000252723694}],"concepts":[{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.7791000008583069},{"id":"https://openalex.org/C120912362","wikidata":"https://www.wikidata.org/wiki/Q136822","display_name":"Higher education","level":2,"score":0.7008000016212463},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.5113999843597412},{"id":"https://openalex.org/C6422946","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Panel data","level":2,"score":0.5052000284194946},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.48089998960494995},{"id":"https://openalex.org/C48824518","wikidata":"https://www.wikidata.org/wiki/Q396340","display_name":"Agricultural economics","level":1,"score":0.45660001039505005},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.37119999527931213},{"id":"https://openalex.org/C202632270","wikidata":"https://www.wikidata.org/wiki/Q7798106","display_name":"Threshold model","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3578000068664551},{"id":"https://openalex.org/C2991744964","wikidata":"https://www.wikidata.org/wiki/Q2827190","display_name":"Chinese agriculture","level":3,"score":0.33809998631477356},{"id":"https://openalex.org/C3020318244","wikidata":"https://www.wikidata.org/wiki/Q4812187","display_name":"Large sample","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2782000005245209},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C47768531","wikidata":"https://www.wikidata.org/wiki/Q1127188","display_name":"Development economics","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/13504851.2026.2754965","doi":"https://doi.org/10.1080/13504851.2026.2754965","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13504851.2026.2754965","pdf_url":null,"source":{"id":"https://openalex.org/S96544531","display_name":"Applied Economics Letters","issn_l":"1350-4851","issn":["1350-4851","1466-4291"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Economics Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality education","id":"https://metadata.un.org/sdg/4","score":0.5385000109672546},{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4000000059604645}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1968657151","https://openalex.org/W2095197847","https://openalex.org/W2096734231","https://openalex.org/W4294281592","https://openalex.org/W4400164782","https://openalex.org/W4409895917"],"related_works":["https://openalex.org/W2353580271","https://openalex.org/W3193424759","https://openalex.org/W6941232196","https://openalex.org/W2997864521","https://openalex.org/W3080086088","https://openalex.org/W3204266067","https://openalex.org/W645264973","https://openalex.org/W6926404641","https://openalex.org/W4396231067","https://openalex.org/W4401037272"],"abstract_inverted_index":{"Using":[0],"a":[1,34,57,69,87],"balanced":[2],"panel":[3],"of":[4,72,79,90],"30":[5],"Chinese":[6],"provinces":[7],"from":[8],"2012":[9],"to":[10],"2019,":[11],"this":[12],"research":[13],"examines":[14],"the":[15],"association":[16,36],"between":[17,37],"higher":[18],"education":[19],"in":[20],"science,":[21],"engineering,":[22],"agriculture":[23],"and":[24,27,39,56,81,86],"medicine":[25],"(SEAM)":[26],"industrial":[28,40],"intelligence.":[29],"Two-way":[30],"fixed-effects":[31],"estimates":[32,62],"show":[33],"positive":[35],"SEAM":[38],"intelligence":[41],"(coefficient":[42],"0.462).":[43],"The":[44],"result":[45],"remains":[46],"stable":[47],"under":[48],"alternative":[49],"weighting":[50],"methods,":[51],"additional":[52],"controls,":[53],"sample":[54],"exclusions":[55],"lag-instrument":[58],"2SLS":[59],"check.":[60],"Panel-threshold":[61],"based":[63],"on":[64],"institution-type":[65],"enrolment":[66],"shares":[67],"identify":[68],"single":[70,88],"threshold":[71,89,97],"0.384":[73],"for":[74,83,92],"SEAM-oriented":[75],"institutions,":[76,85],"double":[77],"thresholds":[78],"0.341":[80],"0.395":[82],"science-and-engineering-oriented":[84],"0.034":[91],"medicine-oriented":[93],"institutions.":[94],"No":[95],"agricultural":[96],"is":[98],"detected.":[99]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-10-30T00:00:00"}
