{"id":"https://openalex.org/W3194476099","doi":"https://doi.org/10.1145/3473714.3473751","title":"NCMS, farmers' independent entrepreneurship and income","display_name":"NCMS, farmers' independent entrepreneurship and income","publication_year":2021,"publication_date":"2021-06-18","ids":{"openalex":"https://openalex.org/W3194476099","doi":"https://doi.org/10.1145/3473714.3473751","mag":"3194476099"},"language":"en","primary_location":{"id":"doi:10.1145/3473714.3473751","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473714.3473751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Zhang Yanan","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Yanan","raw_affiliation_strings":["Beijing Jiaotong, University BJTU, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong, University BJTU, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11531","display_name":"Healthcare Systems and Reforms","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/T11531","display_name":"Healthcare Systems and Reforms","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/T10987","display_name":"Microfinance and Financial Inclusion","score":0.975600004196167,"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/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.9742000102996826,"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/matching","display_name":"Matching (statistics)","score":0.7141004800796509},{"id":"https://openalex.org/keywords/propensity-score-matching","display_name":"Propensity score matching","score":0.6961734294891357},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.6834582686424255},{"id":"https://openalex.org/keywords/binary-logit-model","display_name":"Binary logit model","score":0.6721124649047852},{"id":"https://openalex.org/keywords/entrepreneurship","display_name":"Entrepreneurship","score":0.6587963700294495},{"id":"https://openalex.org/keywords/survey-data-collection","display_name":"Survey data collection","score":0.49318307638168335},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.48667603731155396},{"id":"https://openalex.org/keywords/logit","display_name":"Logit","score":0.47909143567085266},{"id":"https://openalex.org/keywords/demographic-economics","display_name":"Demographic economics","score":0.46955424547195435},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.46866071224212646},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4685170650482178},{"id":"https://openalex.org/keywords/per-capita-income","display_name":"Per capita income","score":0.4528360068798065},{"id":"https://openalex.org/keywords/per-capita","display_name":"Per capita","score":0.4488428831100464},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.42411941289901733},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3535081744194031},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.21625792980194092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.15815645456314087},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12211653590202332},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09690403938293457},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09142401814460754}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7141004800796509},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.6961734294891357},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6834582686424255},{"id":"https://openalex.org/C2992215830","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Binary logit model","level":2,"score":0.6721124649047852},{"id":"https://openalex.org/C84309077","wikidata":"https://www.wikidata.org/wiki/Q3908516","display_name":"Entrepreneurship","level":2,"score":0.6587963700294495},{"id":"https://openalex.org/C198477413","wikidata":"https://www.wikidata.org/wiki/Q7647069","display_name":"Survey data collection","level":2,"score":0.49318307638168335},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.48667603731155396},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.47909143567085266},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.46955424547195435},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.46866071224212646},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4685170650482178},{"id":"https://openalex.org/C160443848","wikidata":"https://www.wikidata.org/wiki/Q45918","display_name":"Per capita income","level":2,"score":0.4528360068798065},{"id":"https://openalex.org/C127598652","wikidata":"https://www.wikidata.org/wiki/Q558635","display_name":"Per capita","level":3,"score":0.4488428831100464},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.42411941289901733},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3535081744194031},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.21625792980194092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.15815645456314087},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12211653590202332},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09690403938293457},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09142401814460754},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3473714.3473751","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3473714.3473751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1527029044","https://openalex.org/W1556373001","https://openalex.org/W2000719381","https://openalex.org/W2005303690","https://openalex.org/W2029235014","https://openalex.org/W2319034699","https://openalex.org/W2518260974","https://openalex.org/W3124052700"],"related_works":["https://openalex.org/W2144455690","https://openalex.org/W4251559663","https://openalex.org/W3123618384","https://openalex.org/W2130793781","https://openalex.org/W2792481745","https://openalex.org/W4319863046","https://openalex.org/W3021446708","https://openalex.org/W2231508029","https://openalex.org/W4287663903","https://openalex.org/W2182317436"],"abstract_inverted_index":{"Based":[0],"on":[1,57,138],"the":[2,12,16,28,40,44,51,68,75,85,87,92,94,116,130,133,145,150,157,161,168],"Chinese":[3],"Family":[4],"Tracking":[5],"Survey":[6],"Data":[7],"(CFPS),":[8],"this":[9],"paper":[10],"uses":[11],"binary":[13],"Logit":[14],"model":[15,21],"propensity":[17],"matching":[18],"score":[19],"test":[20],"to":[22,27,34,38,79],"make":[23],"a":[24],"certain":[25],"contribution":[26],"computer-related":[29],"fields.":[30],"This":[31],"article":[32],"chooses":[33],"use":[35],"computer":[36],"software":[37],"process":[39],"data":[41],"and":[42,60,84,110,153],"analyze":[43],"impact":[45],"mechanism":[46],"of":[47,77,89,96,118,127,132,164,173],"farmers'":[48,111,119,139],"participation":[49],"in":[50,98,125,144,156],"new":[52,69,134],"rural":[53,70,135],"cooperative":[54,71,136],"medical":[55],"system":[56],"independent":[58],"entrepreneurship":[59],"income":[61,172],"growth.":[62],"The":[63],"results":[64],"show":[65],"that:":[66],"First,":[67],"reference":[72,137],"significantly":[73],"improves":[74],"behavior":[76,163],"farmers":[78,165],"start":[80],"their":[81],"own":[82,112],"businesses,":[83],"higher":[86],"proportion":[88],"participating":[90],"farmers,":[91],"greater":[93],"probability":[95],"engaging":[97],"entrepreneurial":[99],"activities.":[100],"Second,":[101],"personal":[102],"characteristics,":[103,105,107],"family":[104],"community":[106],"risk":[108],"preferences,":[109],"psychological":[113],"expectations":[114],"affect":[115],"possibility":[117],"self-employment":[120,140,162],"at":[121],"different":[122,128],"levels.":[123],"Thirdly,":[124],"terms":[126],"regions,":[129],"influence":[131],"is":[141],"more":[142],"obvious":[143,155],"eastern":[146],"region,":[147,152],"followed":[148],"by":[149],"central":[151],"less":[154],"western":[158],"region.":[159],"Fourth,":[160],"has":[166],"increased":[167],"per":[169],"capita":[170],"net":[171],"farmers.":[174]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}