{"id":"https://openalex.org/W3186278040","doi":"https://doi.org/10.1142/s0217595920400163","title":"Research on the Measurement of Subject Credit Risk of Chinese Port Enterprises by Constrained Logistic Regression","display_name":"Research on the Measurement of Subject Credit Risk of Chinese Port Enterprises by Constrained Logistic Regression","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3186278040","doi":"https://doi.org/10.1142/s0217595920400163","mag":"3186278040"},"language":"en","primary_location":{"id":"doi:10.1142/s0217595920400163","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0217595920400163","pdf_url":null,"source":{"id":"https://openalex.org/S1254427","display_name":"Asia Pacific Journal of Operational Research","issn_l":"0217-5959","issn":["0217-5959","1793-7019"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Asia-Pacific Journal of Operational Research","raw_type":"journal-article"},"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/A5052301549","display_name":"Ming Fung Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Wu","raw_affiliation_strings":["School of Management, University of Science and Technology of China, Hefei 230026, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, University of Science and Technology of China, Hefei 230026, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003886072","display_name":"Gang Cheng","orcid":"https://orcid.org/0000-0002-3369-7970"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gang Cheng","raw_affiliation_strings":["School of Statistics, University of Minnesota, MN 55112, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, University of Minnesota, MN 55112, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072985371","display_name":"Jiajing Gao","orcid":"https://orcid.org/0000-0002-0036-3894"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajing Gao","raw_affiliation_strings":["School of Management, Shanghai University, Shanghai 200444, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Shanghai University, Shanghai 200444, P. R. China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2885,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59865674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"38","issue":"03","first_page":"2040016","last_page":"2040016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":0.9609000086784363,"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9057999849319458,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International 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":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7971780300140381},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5743544101715088},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5327050089836121},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.5030724406242371},{"id":"https://openalex.org/keywords/cash-flow","display_name":"Cash flow","score":0.4543645977973938},{"id":"https://openalex.org/keywords/credit-risk","display_name":"Credit risk","score":0.4409253001213074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40703046321868896},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.3888131380081177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38874220848083496},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.36919182538986206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2640867531299591},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.16713488101959229}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7971780300140381},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5743544101715088},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5327050089836121},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.5030724406242371},{"id":"https://openalex.org/C163428354","wikidata":"https://www.wikidata.org/wiki/Q1047513","display_name":"Cash flow","level":2,"score":0.4543645977973938},{"id":"https://openalex.org/C178350159","wikidata":"https://www.wikidata.org/wiki/Q162714","display_name":"Credit risk","level":2,"score":0.4409253001213074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40703046321868896},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3888131380081177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38874220848083496},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.36919182538986206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2640867531299591},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.16713488101959229}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0217595920400163","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0217595920400163","pdf_url":null,"source":{"id":"https://openalex.org/S1254427","display_name":"Asia Pacific Journal of Operational Research","issn_l":"0217-5959","issn":["0217-5959","1793-7019"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Asia-Pacific Journal of Operational Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:apjorx:v:38:y:2021:i:03:n:s0217595920400163","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0217595920400163","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1484545635","https://openalex.org/W1976526581","https://openalex.org/W1982431702","https://openalex.org/W1985566663","https://openalex.org/W1990836268","https://openalex.org/W2048801439","https://openalex.org/W2091416646","https://openalex.org/W2098738227","https://openalex.org/W2098910318","https://openalex.org/W2124532504","https://openalex.org/W2125686177","https://openalex.org/W2130187881","https://openalex.org/W2245241381","https://openalex.org/W3122639747","https://openalex.org/W4255870372"],"related_works":["https://openalex.org/W2164800850","https://openalex.org/W2338073873","https://openalex.org/W2729268048","https://openalex.org/W2054520084","https://openalex.org/W2956367965","https://openalex.org/W2107706961","https://openalex.org/W3214884988","https://openalex.org/W1529501548","https://openalex.org/W1494267898","https://openalex.org/W2623430991"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,12,44,54,68,73,79,98,117,127,137,146,154,159],"subject":[4],"credit":[5,19,69],"risk":[6,20,70],"of":[7,14,46,72,100,129,161],"Chinese":[8],"port":[9,37,50,106,166],"enterprises.":[10],"Since":[11],"impact":[13],"cash":[15,47],"flow":[16,48],"ability":[17],"on":[18,123,136,158],"measurement":[21],"will":[22],"be":[23],"increased":[24],"under":[25,40],"extreme":[26,41,80],"case,":[27],"ordinary":[28,155],"logistic":[29,56,114,132,148,156],"regression":[30,57,115,133,149,157],"methods":[31],"may":[32],"lack":[33],"explanatory":[34],"power":[35],"for":[36],"enterprise":[38],"default":[39,62,163],"cases.":[42],"Considering":[43],"characteristics":[45],"in":[49,78,105,110,165],"industry,":[51],"we":[52,96],"introduce":[53],"constrained":[55,113,147],"method":[58,150],"to":[59],"establish":[60],"a":[61,90],"probability":[63,164],"model":[64],"which":[65],"can":[66],"describe":[67],"level":[71],"industry":[74,109],"with":[75,126],"higher":[76],"accuracy":[77],"case":[81],"where":[82],"an":[83],"enterprise\u2019s":[84],"quick":[85,124],"ratio":[86],"is":[87,134],"lower":[88],"than":[89,102,153],"cutoff":[91,128],"point,":[92],"For":[93],"empirical":[94],"study,":[95],"leverage":[97],"data":[99,118],"more":[101],"900":[103],"companies":[104],"and":[107,167],"transportation":[108,168],"2016\u20132018.":[111],"The":[112,141],"splits":[116],"into":[119],"two":[120,138],"subspaces":[121],"based":[122],"ratios":[125,143],"1.8.":[130],"Then":[131],"built":[135],"subspaces,":[139],"respectively.":[140],"recall":[142],"show":[144],"that":[145],"performs":[151],"better":[152],"study":[160],"corporate":[162],"industry.":[169]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
