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ORGANISATIONS, WORK AND SEXUAL DIVISIONS: Occupational change in market economies and remaking gender? Janette Webb University of Edinburgh Framing Questions • Interactions of markets and gendered power relations • Are some forms of ‘market economy’ more conducive to greater equality between the sexes? • What drives what? – Cultural change in gender relations drives economic restructuring? – Economic restructuring, and occupational change, drives cultural change in gender relations? Two Models from Feminist Political Economy • Varieties of Capitalism (VOC) – Liberal market economies (LME) – Coordinated market economies (CME) – These result in different patterns of occupational sex segregation and inequality • Post-Industrialism – Change as dominated by universal dynamics of post-industrial shift, which reinforce occupational sex segregation and ‘gender essentialism’ Varieties of Capitalism • LMEs – – – – Education and training for general skills Deregulated, individualised labour markets Short-term orientation to profitability Social policy emphasis on individual responsibility • CMEs – Education and training for organisation- and industry-specific skills – Coordinated/regulated labour markets – Long-term orientation to governance and profitability – Social policy emphasis on protection and pooling of risk Feminist Analysis of VOC • CMEs/ specific skills regimes – Expected to have higher levels of occupational sexsegregation • LMEs/ general skills regimes – Expected to have less segregated occupations but higher income inequality • Might speculate therefore that: – gender is a more prominent principle of social division in CMEs? – While class is more prominent in LMEs? • Drivers of change perceived as primarily economic, overlaid on essentialised model of dualistic gender Feminist Post-Industrialism • Interaction of universalising economic forces of post-industrialism with universalistic gender dualism • Effect is to reinforce occupational segregation • Gender ideology, rather than economics, drives – horizontal segregation between manual (male) and non-manual (female) occupations – and pervasive vertical segregation within occupational hierarchies Comments on the VOC and Post-Industrial Models • Utility of models emphasising one or two macro-level concepts to explain complexity • Limitations of labour market data over 15 years old when dealing with questions of economic restructuring • Snap shot of occupational segregation at a single time • Focus on occupational categories rather than incorporating industrial sector Using Data from ILO Labour Market Stats • Less discriminating occupational classification • Problems of different cultural interpretations of the ‘same’ occupational classifications • But allows some longitudinal comparison • And more recent data (1985-2005) • Crude occupational breakdown compensated for to some extent by ability to disaggregate occupation by industrial sector • Descriptive statistics for concentration of men and women in occupations rather than index of segregation Rationale for Selection of Countries • Sweden and Japan as contrasting examples of CMEs • USA and UK as contrasting examples of LMEs • Likely to share common shift towards services • Since 1985, all have increased proportion of economically active population Total Economically Active, 1985-2004 160000 140000 120000 100000 80000 60000 40000 20000 0 Sw85 Sw04 USA85 USA05 UK85 UK05 Ja85 Ja05 Women as % of Workforce 50 45 40 35 30 25 20 15 10 5 0 Sweden USA UK Japan mid-1980s mid-1990s mid-2000s Declining Employment in Extractive & Transformative Industries • Growth in economically active population • Alongside decline in proportion of employment in extractive and transformative industries • Japan continues to have the highest proportion of employees in these sectors – now has only 31% in such employment – equivalent to the position of the USA twenty years earlier % of Labour Force in Extractive & Transformative Industries 45 40 35 30 Sw USA UK Jpn 25 20 15 10 5 0 mid-1980s mid-1990s mid-2000s % of Women in Extractive & Transformative Industries 35 30 25 Sw USA UK Jpn 20 15 10 5 0 mid-1980s mid-1990s mid-2000s Labour Force in Extractive & Transformative Industries • As proportion of employment declined, maleconcentration increased • Most noticeable in Japan - women were 35% of employees; now 28% all employees 100 80 Sw USA UK Jpn 60 40 20 0 mid-1980s mid-1990s mid-2000s women 100 80 Sw USA UK Jpn 60 40 20 0 mid-1980s mid-1990s mid-2000s % of Labour Force in Services 100 90 80 70 60 50 40 30 20 10 0 Sw USA UK Jpn mid-1980s mid-1990s mid-2000s % of Women in Services 60 50 40 Sw USA UK Jpn 30 20 10 0 mid-1980s mid-1990s mid-2000s Labour Force in Services • Japan - men in the majority in services • Sweden - post-industrial shift associated with less female concentration in 2005 than 1985 • No simple relationship between postindustrialism and ‘universal reinforcement’ of sexual divisions all employees 100 80 60 Sw USA UK Jpn 40 20 0 mid-1980s mid-1990s mid-2000s women 100 80 60 Sw USA UK Jpn 40 20 0 mid-1980s mid-1990s mid-2000s Change in Occupational Structures • Occupational upgrading? – Crude measure shows increasing proportion of workforce employed in managerial, admin, professional, technical and associated occupations in 2004-05 than in mid-1980s/1990s • Combined with gradually decreasing proportion of employees in production jobs (including skilled craft and routine manual work) Occupational structures, 2004-5 40 35 30 profs managerial clerical sales/svc AFF production 25 20 15 10 5 0 Sweden USA UK Japan Sweden, 1984-2004: occupation by male-female 100 90 80 70 60 50 40 30 20 10 0 pr 84 '94 '04 f o female male m 84 '94 '04 r g 84 '94 '04 s84 '94 '04 d84 '94 '04 r e o le r cl a p s USA, 1985-2005: occupation by male-female 100 90 80 70 60 50 40 30 20 10 0 pr 85 '95 '05 f o female male m 85 '95 '05 r g 85 '95 '05 85 '95 '05 s85 '95 '05 l r n e e l a cl m sa UK, 1995 & 2005: occupation by male-female 100 90 80 70 female male 60 50 40 30 20 10 0 95 '05 f o pr 95 '05 r g m h9 c te 5 5 '0 c c9 v l.s 5 5 '0 a m 9 nl 5 5 '0 Japan, 1985-2005: occupation by male-female 100 90 80 70 60 50 40 30 20 10 0 pr 85 '95 '05 f o female male 85 '95 '05 r85 '95 '05 s85 '95 '05 c85 '95 '05 d85 '95 '05 r g le o le r sv c a m p s 5 100 90 80 70 60 50 40 30 20 10 0 female male 85 '9 5 '0 m 5 gr 85 '9 5 '0 5 cl er 85 '9 5 ' sa 05 le s8 5 '9 5 '0 5 sv c8 5 '9 5 '0 pr 5 od 85 '9 5 '0 5 5 Sweden 80 20 20 0 0 UK (95 & 05 only) sa le s8 5 '9 5 '0 5 m an l8 5 '9 5 '0 5 80 er 85 '9 5 '0 5 100 cl 100 gr 85 '9 5 '0 5 m 85 '9 5 '0 5 of pr 40 female male of '0 l9 5 95 '0 5 vc sa le s8 4 '9 4 '0 4 pr od 84 '9 4 '0 4 er 84 '9 4 '0 4 cl gr 84 '9 4 '0 4 m 60 pr 5 5 '0 5 h9 m an cl .s te c '0 m gr 95 '0 pr of 95 84 '9 4 '0 4 of pr Differences in Occupational Concentrations of men and women - LMEs v CMEs? USA 60 40 female male Japan 100 80 60 40 20 0 female male Male-female split among occupations 2004/5 Managers & Administrators Professionals 100 100 80 80 60 60 male female 40 male female 40 20 20 0 0 Sweden USA UK Sweden Japan Clerical workers USA UK Japan Production 100 100 80 80 60 60 male female 40 20 male female 40 20 0 0 Sweden USA UK Japan Sweden USA UK Japan The Effect of Industrial Sector on Occupational Divisions • Using only 2004/5 data • Excludes Agriculture, Forestry and Fishing • Groups Industrial Sectors into 3: – extractive and transformative – business and finance, real estate and retail services – public and welfare services • Showing % of women in each occupation Distribution of women in occupations by industry, Sweden, 2004 100 90 80 70 60 50 40 30 20 10 0 extractive & transformative financial, real estate, retail education, HSW m g/ad pr of tech cle r s vc pr od Distribution of women in occupations by industry, USA 2005 100 90 80 70 60 50 40 30 20 10 0 extractive & transformative financial, real estate, retailing education, HSW m g/ad pr o/t& a cle r s vc pr od Distribution of women in occupations by industry, UK 2005 100 90 80 70 60 50 40 30 20 10 0 extractive & transformative financial, real estate, retailing education, HSW m g/ad pr of tech cle r s vc pr od Distribution of women in occupations by industry, Japan 2005 90 80 70 60 50 extractive & transformative financial, real estate, retailing education, HSW 40 30 20 10 0 m g/ad pr of & tech cle r s vc pr od Distribution of women in occupations Sweden 100 90 80 70 60 50 40 30 20 10 0 USA extractive & transformative financial, real estate, retail education, HSW mg/ad prof tech cler svc 100 90 80 70 60 50 40 30 20 10 0 prod extractive & transformative financial, real estate, retailing education, HSW mg/ad pro/t&a cler UK 100 90 80 70 60 50 40 30 20 10 0 prof tech cler svc prod Japan extractive & transformative financial, real estate, retailing education, HSW mg/ad svc prod 90 80 70 60 50 40 30 20 10 0 extractive & transformative financial, real estate, retailing education, HSW mg/ad prof & tech cler svc prod Occupation by Industry & VOC • No simple relationship between LME policies and lesser concentrations of men and women in segregated occupations • In the UK, barriers to the a-typical sex entering occupations do not seem to be lower than in Sweden • Swedish social-democratic model more effective in facilitating movement of women into career occupations in industry and in private sector services Continuity of dualistic gender ideologies? • Evidence provides support for the argument that a dualistic, if not ‘essentialist’, gender ideology continues to underpin some universally sex-differentiated occupational patterns • Not the case however that shift to services universally reinforces sex-segregated work • Can conjecture that effects of shift to services differ according to interaction between – cultural, and historically located, processes of gendered power relations – political-economic strategies – equality policies – and the resulting organisation of occupations in different sectors in different countries Evaluation of Models • Strengths and limitations of a feminist model of VOC – Utility – But over-reliance on macro-structural concepts of skills and gender – Loss of insight into process – Need to integrate income data and inter-dependence of class with gender and ethnic divisions – Skills, and their formation and use, are not independent of power relations, and are in flux in ‘knowledge economies’ • Strengths and limitations of a feminist post-industrialism – Identifies the intransigence of dualistic gender – But a version of convergence theory? What would a sociological model of the interactions of gender and markets look like? – A situated account of the remaking of gender in the context of new occupational relationships – Gender and markets as mutually constitutive – Organisational level is where inter-relations of markets and personal biographies are worked out: • Occupational positions and skills are constituted • And in their enactment produce the contested strata of class, gender and ethnicity • Which in turn reshape occupations and skills