{"id":"https://openalex.org/W2937829348","doi":"https://doi.org/10.1108/jes-04-2017-0108","title":"Female employment in India: determinants of choice of sector of activity","display_name":"Female employment in India: determinants of choice of sector of activity","publication_year":2019,"publication_date":"2019-04-12","ids":{"openalex":"https://openalex.org/W2937829348","doi":"https://doi.org/10.1108/jes-04-2017-0108","mag":"2937829348"},"language":"en","primary_location":{"id":"doi:10.1108/jes-04-2017-0108","doi":"https://doi.org/10.1108/jes-04-2017-0108","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jes-04-2017-0108","pdf_url":null,"source":{"id":"https://openalex.org/S158705510","display_name":"Journal of Economic Studies","issn_l":"0144-3585","issn":["0144-3585","1758-7387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Economic Studies","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/A5059512485","display_name":"Sandhya Rani Mahapatro","orcid":"https://orcid.org/0000-0001-7628-5469","observed_orcids":["https://orcid.org/0000-0001-7628-5469"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sandhya Mahapatro","raw_affiliation_strings":["Department of Economics, A.N. Sinha Institute of Social Studies, Patna, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics, A.N. Sinha Institute of Social Studies, Patna, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5059512485"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7477,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86117857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"46","issue":"3","first_page":"748","last_page":"759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11544","display_name":"Gender, Labor, and Family Dynamics","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T11544","display_name":"Gender, Labor, and Family Dynamics","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T13989","display_name":"Labour Market and Migration","score":0.04129999876022339,"subfield":{"id":"https://openalex.org/subfields/3318","display_name":"Gender Studies"},"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/T10208","display_name":"Labor market dynamics and wage inequality","score":0.004800000227987766,"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/women-s-employment","display_name":"women's employment","score":0.9639999866485596},{"id":"https://openalex.org/keywords/formal-employment","display_name":"formal employment","score":0.6549999713897705},{"id":"https://openalex.org/keywords/informal-employment","display_name":"informal employment","score":0.9610000252723694},{"id":"https://openalex.org/keywords/educated-women","display_name":"educated women","score":0.5950000286102295},{"id":"https://openalex.org/keywords/female-labour-market","display_name":"female labour market","score":0.48899999260902405},{"id":"https://openalex.org/keywords/household-socioeconomic-characteristics","display_name":"household socioeconomic characteristics","score":0.8109999895095825},{"id":"https://openalex.org/keywords/labour-market-structure","display_name":"labor market structure","score":0.7049999833106995},{"id":"https://openalex.org/keywords/women-s-unpaid-work","display_name":"women's unpaid work","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.7860018610954285},{"id":"https://openalex.org/C145236788","wikidata":"https://www.wikidata.org/wiki/Q28161","display_name":"Labour economics","level":1,"score":0.6859352588653564},{"id":"https://openalex.org/C64089585","wikidata":"https://www.wikidata.org/wiki/Q944235","display_name":"Informal sector","level":2,"score":0.6522089242935181},{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.6499125957489014},{"id":"https://openalex.org/C2777388388","wikidata":"https://www.wikidata.org/wiki/Q6821213","display_name":"Wage","level":2,"score":0.5997287034988403},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.5989663600921631},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.5888946652412415},{"id":"https://openalex.org/C4249254","wikidata":"https://www.wikidata.org/wiki/Q3044431","display_name":"Demographic economics","level":1,"score":0.41600149869918823},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.1337907314300537},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10623025894165039},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.09262263774871826},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.07629188895225525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/jes-04-2017-0108","doi":"https://doi.org/10.1108/jes-04-2017-0108","is_oa":false,"landing_page_url":"https://doi.org/10.1108/jes-04-2017-0108","pdf_url":null,"source":{"id":"https://openalex.org/S158705510","display_name":"Journal of Economic Studies","issn_l":"0144-3585","issn":["0144-3585","1758-7387"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-b","anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Economic Studies","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"},{"score":1.0,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"},{"score":0.7603999972343445,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.666700005531311,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"},{"score":0.5,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"sustainable_development_goals_aurora":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1536494093","https://openalex.org/W1805018849","https://openalex.org/W1986287715","https://openalex.org/W1992598511","https://openalex.org/W2007621505","https://openalex.org/W2017162472","https://openalex.org/W2027805793","https://openalex.org/W2035547715","https://openalex.org/W2045417120","https://openalex.org/W2050656464","https://openalex.org/W2072701558","https://openalex.org/W2076964636","https://openalex.org/W2097330909","https://openalex.org/W2125877590","https://openalex.org/W2146905520","https://openalex.org/W2187880391","https://openalex.org/W2263212802","https://openalex.org/W2289130577","https://openalex.org/W2309513205","https://openalex.org/W2344472730","https://openalex.org/W2601276199","https://openalex.org/W3124637574","https://openalex.org/W3145240185","https://openalex.org/W4230000677","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2104744318","https://openalex.org/W2892251925","https://openalex.org/W4399884627","https://openalex.org/W1514595100","https://openalex.org/W1542512694","https://openalex.org/W2916543826","https://openalex.org/W2771507356","https://openalex.org/W2001434482","https://openalex.org/W2135431968","https://openalex.org/W7037163448"],"abstract_inverted_index":{"Purpose":[0],"The":[1,48,182],"purpose":[2],"of":[3,12,22,50,86,97,134,159,165,184],"this":[4],"paper":[5],"is":[6,17],"to":[7,78,116,139,161],"examine":[8,79],"whether":[9],"the":[10,20,23,29,36,41,80,84,109,137,141,153,156,163,166,171,185,197],"choice":[11],"employment":[13,51,93,135,160],"sector":[14,49,85],"for":[15,35,170,190,196],"women":[16,119,145],"driven":[18],"by":[19,28,130],"structure":[21],"labour":[24,110,168,193,200],"market":[25,111,169,194],"or":[26,101],"determined":[27],"household":[30],"socioeconomic":[31],"condition.":[32],"Design/methodology/approach":[33],"Data":[34],"study":[37,151,186],"were":[38],"drawn":[39],"from":[40],"National":[42],"Sample":[43],"Survey":[44],"68th":[45],"round":[46],"(2011\u20132012).":[47],"was":[52,76],"assessed":[53],"through":[54],"females\u2019":[55],"participation":[56,158],"as":[57],"an":[58],"unpaid":[59],"labour,":[60],"employer/own":[61],"account":[62],"worker,":[63,66],"informal":[64,104],"wage":[65,68],"formal":[67,92,121,147],"worker":[69],"and":[70,143],"unemployed.":[71],"A":[72],"multinomial":[73],"logit":[74],"model":[75],"used":[77],"factors":[81,154],"that":[82,108],"determine":[83],"employment.":[87,105,122,148],"Findings":[88],"Although":[89],"education":[90,128],"increases":[91],"among":[94],"women,":[95],"most":[96],"them":[98],"are":[99],"unemployed":[100],"entering":[102],"into":[103,120],"It":[106],"indicates":[107],"has":[112],"not":[113,178],"been":[114,179],"able":[115],"integrate":[117],"educated":[118,142,174,198],"Research":[123],"limitations/implications":[124],"Increase":[125],"in":[126,146],"female":[127,199],"accompanied":[129],"a":[131],"slow":[132],"growth":[133],"creates":[136],"challenge":[138],"accommodate":[140],"skilled":[144],"Originality/value":[149],"This":[150],"examines":[152],"determining":[155],"sectoral":[157],"assess":[162],"responses":[164],"current":[167],"females,":[172],"especially":[173],"females":[175],"who":[176],"have":[177,187],"adequately":[180],"addressed.":[181],"findings":[183],"significant":[188],"implications":[189],"formulating":[191],"appropriate":[192],"policies":[195],"force.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2019-04-25T00:00:00"}
