{"id":"https://openalex.org/W4237345298","doi":"https://doi.org/10.1145/3495018.3501094","title":"Computer Intelligent Evaluation Model and Empirical Study on Farmer Income Relying on CHFS Data and Cloud Computing","display_name":"Computer Intelligent Evaluation Model and Empirical Study on Farmer Income Relying on CHFS Data and Cloud Computing","publication_year":2021,"publication_date":"2021-10-23","ids":{"openalex":"https://openalex.org/W4237345298","doi":"https://doi.org/10.1145/3495018.3501094"},"language":"en","primary_location":{"id":"doi:10.1145/3495018.3501094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3501094","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-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/A5071559398","display_name":"Wensong He","orcid":null},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wensong He","raw_affiliation_strings":["Sichuan Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Agricultural University, China","institution_ids":["https://openalex.org/I37574244"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020147636","display_name":"Yuansheng Jiang","orcid":"https://orcid.org/0000-0003-3033-3693"},"institutions":[{"id":"https://openalex.org/I37574244","display_name":"Sichuan Agricultural University","ror":"https://ror.org/0388c3403","country_code":"CN","type":"education","lineage":["https://openalex.org/I37574244"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuansheng Jiang","raw_affiliation_strings":["Sichuan Agricultural University, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Agricultural University, China","institution_ids":["https://openalex.org/I37574244"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5071559398"],"corresponding_institution_ids":["https://openalex.org/I37574244"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44964029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2018","issue":null,"first_page":"2308","last_page":"2314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10987","display_name":"Microfinance and Financial Inclusion","score":0.942300021648407,"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/T10987","display_name":"Microfinance and Financial Inclusion","score":0.942300021648407,"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/T10517","display_name":"Financial Literacy, Pension, Retirement Analysis","score":0.9355999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/circulation","display_name":"Circulation (fluid dynamics)","score":0.7944072484970093},{"id":"https://openalex.org/keywords/financial-literacy","display_name":"Financial literacy","score":0.7924216985702515},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.6551488041877747},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.5049198269844055},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4907318353652954},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.452923446893692},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.44046878814697266},{"id":"https://openalex.org/keywords/survey-data-collection","display_name":"Survey data collection","score":0.430146187543869},{"id":"https://openalex.org/keywords/literacy","display_name":"Literacy","score":0.4292261004447937},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.4140566289424896},{"id":"https://openalex.org/keywords/agricultural-economics","display_name":"Agricultural economics","score":0.3837261199951172},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.35653331875801086},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.2398565411567688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.11562028527259827},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11303389072418213}],"concepts":[{"id":"https://openalex.org/C11111821","wikidata":"https://www.wikidata.org/wiki/Q205880","display_name":"Circulation (fluid dynamics)","level":2,"score":0.7944072484970093},{"id":"https://openalex.org/C2777941463","wikidata":"https://www.wikidata.org/wiki/Q1416374","display_name":"Financial literacy","level":2,"score":0.7924216985702515},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6551488041877747},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.5049198269844055},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4907318353652954},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.452923446893692},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.44046878814697266},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.430146187543869},{"id":"https://openalex.org/C547764534","wikidata":"https://www.wikidata.org/wiki/Q8236","display_name":"Literacy","level":2,"score":0.4292261004447937},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.4140566289424896},{"id":"https://openalex.org/C48824518","wikidata":"https://www.wikidata.org/wiki/Q396340","display_name":"Agricultural economics","level":1,"score":0.3837261199951172},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.35653331875801086},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.2398565411567688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.11562028527259827},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11303389072418213},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3495018.3501094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3495018.3501094","pdf_url":null,"source":{"id":"https://openalex.org/S4363607741","display_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2115217290","https://openalex.org/W4251362978","https://openalex.org/W7062190548"],"related_works":["https://openalex.org/W3108369527","https://openalex.org/W3132432901","https://openalex.org/W4401524915","https://openalex.org/W2347493350","https://openalex.org/W1632279219","https://openalex.org/W2389117401","https://openalex.org/W2391496396","https://openalex.org/W3092130991","https://openalex.org/W2934829600","https://openalex.org/W2355840784"],"abstract_inverted_index":{"Based":[0],"on":[1,31],"the":[2,26,35,42,56,88,101,118],"2015":[3],"China":[4],"Household":[5],"Finance":[6],"Survey":[7],"(CHFS),":[8],"this":[9,107],"paper":[10,108],"uses":[11],"agricultural":[12],"land":[13],"transfer":[14],"as":[15],"an":[16,21],"intermediary":[17,22,36,71],"variable":[18],"to":[19,114,116,127,132,145],"establish":[20,146],"effect":[23,37,72],"model,and":[24],"analyzes":[25],"influence":[27,43],"of":[28,38,48,59,90,104,120,141],"financial":[29,57,74,122,130],"literacy":[30,58,83],"farmers'":[32,79,129],"income":[33,80,102],"and":[34,50,65,78,93,139,144],"farmland":[39,76,91,94,142,152],"circulation":[40,77,95],"in":[41,124,137],"mechanism":[44],"from":[45],"two":[46],"aspects":[47],"theory":[49],"empirical":[51],"analysis.The":[52],"research":[53],"shows":[54],"that":[55],"rural":[60,125],"residents":[61],"is":[62,67],"generally":[63],"low,":[64],"there":[66],"a":[68,134,147],"significant":[69],"partial":[70],"between":[73],"literacy,":[75,131],"increase.":[81],"Financial":[82],"can":[84,96],"significantly":[85,98],"positively":[86,99],"affect":[87,100],"behavior":[89],"circulation,":[92,143],"also":[97],"level":[103],"farmers.":[105],"Therefore,":[106],"puts":[109],"forward":[110],"some":[111],"policy":[112],"suggestions":[113],"continue":[115],"promote":[117],"popularization":[119],"basic":[121],"knowledge":[123],"areas,":[126],"improve":[128],"do":[133],"good":[135],"job":[136],"propaganda":[138],"guidance":[140],"more":[148],"standardized":[149],"market":[150],"for":[151],"circulation.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
