{"id":"https://openalex.org/W4412972763","doi":"https://doi.org/10.54254/2755-2721/2025.25826","title":"A Predictive Model of the Impact of Government Subsidies on the Performance of Agricultural Enterprises Based on Machine Learning Algorithms","display_name":"A Predictive Model of the Impact of Government Subsidies on the Performance of Agricultural Enterprises Based on Machine Learning Algorithms","publication_year":2025,"publication_date":"2025-08-05","ids":{"openalex":"https://openalex.org/W4412972763","doi":"https://doi.org/10.54254/2755-2721/2025.25826"},"language":"en","primary_location":{"id":"doi:10.54254/2755-2721/2025.25826","doi":"https://doi.org/10.54254/2755-2721/2025.25826","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2755-2721/2025.25826","pdf_url":"https://www.ewadirect.com/proceedings/ace/article/view/25826/pdf","source":{"id":"https://openalex.org/S4387281889","display_name":"Applied and Computational Engineering","issn_l":"2755-2721","issn":["2755-2721","2755-273X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied and Computational Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.ewadirect.com/proceedings/ace/article/view/25826/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063374264","display_name":"Peihong Huang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405280632","display_name":"Foshan Polytechnic","ror":"https://ror.org/0379rzh60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Peihong","raw_affiliation_strings":["School of Economics & Management, Foshan Polytechnic, Guangdong, Foshan, 528137, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Foshan Polytechnic, Guangdong, Foshan, 528137, China","institution_ids":["https://openalex.org/I4405280632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336782","display_name":"Jing Li","orcid":"https://orcid.org/0000-0001-7027-7513","observed_orcids":["https://orcid.org/0000-0001-7027-7513","https://orcid.org/0000-0001-5664-9907"]},"institutions":[{"id":"https://openalex.org/I4405280632","display_name":"Foshan Polytechnic","ror":"https://ror.org/0379rzh60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280632"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jing","raw_affiliation_strings":["School of Economics & Management, Foshan Polytechnic, Guangdong, Foshan, 528137, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Foshan Polytechnic, Guangdong, Foshan, 528137, China","institution_ids":["https://openalex.org/I4405280632"]}]},{"author_position":"last","author":{"id":null,"display_name":"Liu Jiaxi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405280632","display_name":"Foshan Polytechnic","ror":"https://ror.org/0379rzh60","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liu Jiaxi","raw_affiliation_strings":["School of Economics & Management, Foshan Polytechnic, Guangdong, Foshan, 528137, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics & Management, Foshan Polytechnic, Guangdong, Foshan, 528137, China","institution_ids":["https://openalex.org/I4405280632"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405280632"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"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":"176","issue":"1","first_page":"43","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11805","display_name":"Agricultural economics and policies","score":0.5756999850273132,"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"}},"topics":[{"id":"https://openalex.org/T11805","display_name":"Agricultural economics and policies","score":0.5756999850273132,"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/T12033","display_name":"Agricultural Economics and Policy","score":0.11580000072717667,"subfield":{"id":"https://openalex.org/subfields/1100","display_name":"General Agricultural and Biological Sciences"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.08389999717473984,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/government-subsidies","display_name":"government subsidies","score":0.9929999709129333},{"id":"https://openalex.org/keywords/agricultural-enterprises","display_name":"agricultural enterprises","score":0.9819999933242798},{"id":"https://openalex.org/keywords/firm-performance","display_name":"firm performance","score":0.9440000057220459},{"id":"https://openalex.org/keywords/agricultural-policy","display_name":"agricultural policy","score":0.8360000252723694},{"id":"https://openalex.org/keywords/subsidy-effectiveness","display_name":"subsidy effectiveness","score":0.7480000257492065},{"id":"https://openalex.org/keywords/adversarial-robustness","display_name":"adversarial robustness","score":0.9940000176429749},{"id":"https://openalex.org/keywords/xgboost-comparison","display_name":"XGBoost comparison","score":0.7200000286102295},{"id":"https://openalex.org/keywords/fiscal-resource-allocation","display_name":"fiscal resource allocation","score":0.7239999771118164}],"concepts":[{"id":"https://openalex.org/C84265765","wikidata":"https://www.wikidata.org/wiki/Q193219","display_name":"Subsidy","level":2,"score":0.8574137687683105},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.6700695753097534},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5972599387168884},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5235804319381714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49791550636291504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214520752429962},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3572639524936676},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3391672670841217},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2694498598575592},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.05932536721229553},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.053545355796813965},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54254/2755-2721/2025.25826","doi":"https://doi.org/10.54254/2755-2721/2025.25826","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2755-2721/2025.25826","pdf_url":"https://www.ewadirect.com/proceedings/ace/article/view/25826/pdf","source":{"id":"https://openalex.org/S4387281889","display_name":"Applied and Computational Engineering","issn_l":"2755-2721","issn":["2755-2721","2755-273X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied and Computational Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54254/2755-2721/2025.25826","doi":"https://doi.org/10.54254/2755-2721/2025.25826","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2755-2721/2025.25826","pdf_url":"https://www.ewadirect.com/proceedings/ace/article/view/25826/pdf","source":{"id":"https://openalex.org/S4387281889","display_name":"Applied and Computational Engineering","issn_l":"2755-2721","issn":["2755-2721","2755-273X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied and Computational Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.958299994468689,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"},{"score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326279","display_name":"Department of Education of Guangdong Province","ror":"https://ror.org/01s5gyw91"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412972763.pdf","grobid_xml":"https://content.openalex.org/works/W4412972763.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7202068765","https://openalex.org/W4293699859","https://openalex.org/W7120083889","https://openalex.org/W7131404424","https://openalex.org/W4413104093","https://openalex.org/W964257409","https://openalex.org/W4307703886","https://openalex.org/W4410448942","https://openalex.org/W7161687187","https://openalex.org/W4281693788"],"abstract_inverted_index":{"Scientifically":[0],"assessing":[1],"the":[2,9,36,85,90,95,106,137,159,166],"true":[3],"effect":[4],"of":[5,11,19,38,74,103,158,168],"government":[6,163],"subsidies":[7,164],"on":[8],"performance":[10,98,119,167],"agricultural":[12,32,45,169,190],"enterprises":[13,170],"and":[14,21,27,42,65,83,136,151,165,177,188],"deeply":[15],"revealing":[16],"its":[17],"mechanism":[18],"action":[20],"restrictive":[22],"factors":[23],"holds":[24],"significant":[25,115],"theoretical":[26],"practical":[28],"value":[29],"for":[30,154,180],"optimizing":[31],"policy":[33,182],"design,":[34],"enhancing":[35],"efficiency":[37],"fiscal":[39],"resource":[40],"allocation,":[41],"promoting":[43],"high-quality":[44],"development.":[46],"To":[47],"precisely":[48],"analyze":[49],"this":[50,52,111],"impact,":[51],"study":[53],"innovatively":[54],"designed":[55],"a":[56,155],"Transformer":[57],"classification":[58],"algorithm":[59],"that":[60,88],"integrates":[61],"adaptive":[62],"feature":[63],"interaction":[64],"adversarial":[66],"robustness.":[67],"Through":[68],"empirical":[69,152],"testing":[70],"with":[71,99],"four":[72],"sets":[73],"comparison":[75],"models":[76],"including":[77],"random":[78],"forest,":[79],"decision":[80],"tree,":[81],"XGBoost,":[82],"CatBoost,":[84],"results":[86],"show":[87],"in":[89,110,117],"benchmark":[91],"model,":[92],"XGBoost":[93],"has":[94,113],"best":[96],"predictive":[97],"an":[100],"accuracy":[101,121],"rate":[102],"85.3%.":[104],"However,":[105],"new":[107],"model":[108],"proposed":[109],"paper":[112],"achieved":[114],"improvements":[116],"key":[118],"indicators:":[120],"(Accuracy)":[122],"increased":[123,140],"by":[124,129,134,141],"3.6%,":[125],"recall":[126],"(Recall)":[127],"improved":[128],"4.3%,":[130],"precision":[131],"(Precision)":[132],"rose":[133],"3.9%,":[135],"F1":[138],"score":[139],"4.1%.":[142],"This":[143],"research":[144],"not":[145],"only":[146],"provides":[147],"advanced":[148],"analytical":[149],"tools":[150],"evidence":[153],"deeper":[156],"understanding":[157],"complex":[160],"relationship":[161],"between":[162],"but":[171],"also":[172],"offers":[173],"important":[174],"data":[175],"support":[176],"decision-making":[178],"references":[179],"precise":[181],"implementation":[183],"to":[184],"enhance":[185],"subsidy":[186],"effectiveness":[187],"promote":[189],"modernization.":[191]},"counts_by_year":[],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2025-10-10T00:00:00"}