SlideShare ist ein Scribd-Unternehmen logo
1 von 20
Changes in Family, Domestic, and
Agricultural Joint Decision-
Making among Rural Korean
Couples: A Longitudinal Study
Duk-Byeong Park
Department of Community Development, Kongju National University, Korea
and
Gary A. Goreham
Department of Sociology and Anthropology, North Dakota State University
Rural Sociological Society annual meeting
July 31-August 3, 2014
New Orleans, LA
South Korea
Modernization. Industrialization.
Urbanization. Economic development.
• Post WW2 (1948). Kim Il-Sung established communist regime in the north;
Syngman Rhee established capitalist regime in the south.
• Korean War (1950-1953).
• Rapid economic growth (1960s). Pres. Park Chung Hee.
• Democratic elections, freedom of press, more human rights (1987).
• Growing population: 47,470,970 (2000); 50,219,669 (2013).
• Declining rural population: high 19,300,260, 67.6% (1965); low 8,362,474, 16.8%
(2011).
• Decreasing crude birth rate: 15.1 (2000); 8.4 (2012).
• Increasing GDP per capita: $17,990 (2004); $23,893 (2014, constant 2000 USD).
• Increase in female farmers: 47.8% (2000): 59.5% (2009) (MAF 2009).
Korean retail market, 1960s
Korean retail market, 2014
Photos: Ed Adams and Gary Goreham.
Building construction, 1960s
Building construction, 2014
Rice planting, 1960s
Rice planting, 2014
• South Korean gender-based division of family life tasks is
changing.
• Rural families increasingly rely on wives’ labor to manage
farms (Anthopoulou 2010; Bokemeier & Garkovich 1987; Damisa & Yohanna 2007).
• Rural women’s labor participation in farming doubled from
28% in 1970 to 52% in 2006 (Kang 2008).
• Rural women’s labor force participation and hourly earnings
were higher than their husbands in 2005 (Statistics Korea 2005).
• Women farmers are more involved in decision-making; they
expanded the areas in which they make decisions (Choi 2001).
Rural Couples’ Decision-Making
Research Questions
• How has the gender-based division of family life tasks
changed in rural Korea over the past decade?
• How has joint decision-making changed for rural farm
couples? For rural nonfarm couples?
• Do rural couples make decisions differently based on the
type or dimension of family life?
Relative Resource Theory
• Spouses with more socio-economic resources may
leverage those resources when delegating domestic work.
• The differential in resources between husbands and wives
leads to inequality in family gender roles (Kamo 1988).
Gender Role Theory
• Men and women engage in different work activities with
different perceived value.
• The work in which women engage, whether inside and
outside the home, may be valued less than the work in
which men engage (Deseran and Simpkins 1991).
H1: Both rural farm and nonfarm couples engage in increasing
amounts of joint decision-making.
H2: The rate of increase in joint decision-making for rural farm
couples is substantial; less so for nonfarm couples.
H2a: Increases in joint decision-making for farm couples
are expected particularly in agricultural work and family
life given the increase in wives’ on- and off-farm labor
participation.
H3: Given the traditional nature of rural households, couples’
joint decision-making in domestic work has not increased
significantly.
Research Methods
• “Survey on the Rural Living Indicators” conducted by the
Rural Development Administration in Korea; longitudinal
panel of rural couples; November 2000, 2005, and 2009.
• Cluster sampling: 10 households selected by stratified
sampling from 187 community districts out of 12
enumeration districts. Sample of 1,870 rural households.
• N=1,409 (2000); 1,492 (2005); 1,564 (2009).
2000 2005 2009
Region Eup (town or village)
Myen (remote rural village)
34.7
65.3
37.6
62.4
37.6
62.4
Farm/Nonfarm Farm households
Nonfarm households
68.0
32.0
77.2
22.8
73.4
26.6
Age Under 29
30-39
40-49
50-59
Over 60
12.9
19.1
19.8
28.9
19.3
7.9
18.8
20.1
28.8
24.4
4.9
16.3
21.7
27.5
29.7
Occupation Agriculture
Other
49.0
51.0
74.0
26.0
61.0
39.0
Family type One person
One generation
Two generation
Three or more generations
14.7
31.0
38.8
15.5
15.4
33.5
35.0
16.1
15.8
36.9
32.9
14.4
Demographic Profile of the Participants (in %; N=1,870)
12 indicators of joint-decision in 3 clusters
Agricultural work variables:
1. Buying and selling land and house
2. Selling farm products
3. Money management
Family life variables:
4. Household expenses
5. Choosing TV channels
6. Managing children’s education
7. Caring for children
8. Deciding on donations
9. Associating with relatives
Domestic work variables:
10. Cooking and dishwashing
11. Laundry
12. Cleaning house
Scale:
1=fully husband
2=generally husband
3=together
4=generally wife
5=fully wife
Rural Farm and Nonfarm Couples’ Joint Decision-Making,
Comparing 2000, 2005, and 2009
1=fully husband, 2=generally husband, 3=together, 4=generally wife, 5=fully wife
Agricultural Work
Variable
Type of
household Year N Mean SD F
Buying and selling land
and house
Farm
household
2000a
1,037 2.1 0.953
27.910***
2005b
1,150 2.32 0.862
2009b
1,141 2.38 0.867
Nonfarm
household
2000a
341 2.35 0.904
2.179
2005a
246 2.48 0.817
2009a
315 2.48 0.908
Selling farm products
Farm
household
2000a
1,018 2.36 1.024
24.877***
2005b
1,109 2.6 0.903
2009b
1,115 2.61 0.871
Nonfarm
household
2000a
83 2.72 0.852
0.722
2005a
84 2.75 0.863
2009a
96 2.86 0.936
Money management
Farm
household
2000a
1,034 1.47 0.736
3.552*
2005ab
1,143 1.51 0.716
2009 b
1,138 1.55 0.746
Nonfarm
household
2000a
365 1.87 0.843
0.576
2005 a
257 1.82 0.81
2009 a
314 1.8 0.812
Rural Couples’ Decision-making Scores for Agricultural Work,
Comparing 2000, 2005, and 2009
*** p < 0.001, ** p < 0.01, * p < 0.05; a, b, c: Duncan post-hoc test
Rural Couples’ Decision-making Scores for Family Life,
Comparing 2000, 2005, and 2009
Family Life
Variable
Type of household
Year N Mean SD F
Household
expense
Farm household
2000a
1,043 2.78 1.045
18.407***
2005b
1,152 2.97 0.883
2009b
1,137 3 0.853
Nonfarm
household
2000a
368 3.12 1.038
0.198
2005a
255 3.17 0.869
2009a
312 3.15 0.898
Choosing TV
channel
Farm household
2000a
1,043 2.7 1.026
9.942***
2005a
1,151 2.73 0.899
2009b
1,140 2.87 0.881
Nonfarm
household
2000a
368 2.84 0.954
0.657
2005a
258 2.76 0.886
2009a
315 2.79 0.831
Managing
children’s
education
Farm household
2000a
1,000 2.87 0.858
8.672***
2005b
1,117 2.98 0.701
2009b
1,120 2.99 0.66
Nonfarm
household
2000a
353 3.07 0.821
0.028
2005a
246 3.09 0.703
2009a
307 3.07 0.694
Family Life Variable
Type of
household Year N Mean SD F
Caring for children
Farm
household
2000a
946 2.66 0.517
3.606*
2005b
1,044 2.6 0.517
2009 1,061 2.62 0.506
Nonfarm
household
2000a
348 2.73 0.456
7.315**
2005a
242 2.59 0.517
2009a
286 2.61 0.53
Deciding donations
Farm
household
2000a
1,049 2.21 0.951
56.783***
2005b
1,154 2.49 0.847
2009c
1,145 2.59 0.778
Nonfarm
household
2000a
369 2.6 0.957
2.435
2005a
256 2.61 0.804
2009a
316 2.73 0.824
Associating with
relatives
Farm
household
2000a
1,032 1.73 0.601
25.867***
2005b
1,134 1.8 0.56
2009c
1,126 1.91 0.573
Nonfarm
household
2000 367 1.9 0.63
3.174*
2005a
252 1.8 0.606
2009b
309 1.93 0.61
Domestic Work
Variable
Type of household
Year N Mean SD F
Cooking and
dishwashing
Farm household
2000a
1,029 2.94 0.272
0.987
2005a
1,141 2.92 0.309
2009a
1,138 2.93 0.28
Nonfarm household
2000a
370 2.92 0.283
1.561
2005a
257 2.88 0.365
2009a
311 2.88 0.358
Laundry work
Farm household
2000a
1,024 2.94 0.278
0.151
2005a
1,137 2.93 0.293
2009a
1,132 2.93 0.287
Nonfarm household
2000a
368 2.94 0.264
2.409
2005b
258 2.88 0.381
2009 311 2.91 0.338
Cleaning house
Farm household
2000a
1,017 2.84 0.404
6.857**
2005b
1,129 2.78 0.472
2009b
1,126 2.79 0.448
Nonfarm
household
2000a
368 2.86 0.388
4.501*
2005a
257 2.76 0.47
2009a
304 2.77 0.487
Rural Couples’ Decision-making Scores for Domestic
Work, Comparing 2000, 2005, and 2009
Summary
1. Following the process of modernization, a trend toward
greater joint decision-making is occurring for rural couples.
2. Although increasingly made jointly, agricultural decisions
are generally by husbands.
3. Farm couples are moving toward more joint agricultural and
family life decisions.
4. Farm and nonfarm couples’ domestic work decisions
continue to be made jointly.
1. Enhancing women’s power in joint decision can benefit the
economic and social well-being of rural families.
2. Rural women’s participation in joint decision-making may empower
them by improving their legal and economic status.
3. Educational programs for women and husbands may be necessary
as family farming evolves. These programs could assist rural
couples to share decision-making power in agriculture, family life,
and domestic work.
4. Empowering rural women economically and politically will transform
them from playing invisible, subordinate roles to leadership and
active community members.
5. Rural women will be positioned to use their untapped abilities for
local development to benefit their families and communities.
Implications
References
Anthopoulou, T. 2010. “Rural women in local agrofood production: between entrepreneurial initiatives
and family strategies: a case study in Greece.” Journal of Rural Studies 26: 394-403.
Bokemeier, J. & L. Garkovich. 1987. “Assessing the influence of farm women’s self-identity on task
allocation and decision making.” Rural Sociology 52(1): 13-36.
Choi, K. 2001. “Sex-role attitude, conjugal status level and status satisfaction of married women living
in Korean rural area.” Journal of Korean Home Management Association 19(3): 53-72.
Damisa, M. & M. Yohanna. 2007. “Role of rural women in farm management decision making process:
ordered Probit analysis.” World Journal of Agricultural Sciences 3(4): 543-546.
Deseran, F. & N. Simpkins. 1991. “Women’s off-farm work and gender stratification.” Journal of Rural
Studies 7(1-2): 91-97.
Kamo, Y. 1988. “Determinants of household division of labor: resources, power, and ideology.” Journal
of Family Issues 9(2): 177-200.
Kang, H. 2008. “Factors affect women farmers’ economic activities.” Journal of Rural Development
31(4): 69-81
Ministry of Agriculture and Forestry (MAF). 2009. Statistics on Women Farmers. Seoul, Korea.

Weitere ähnliche Inhalte

Andere mochten auch

Agrarian laws (Jharkhand) presentation
Agrarian laws (Jharkhand) presentationAgrarian laws (Jharkhand) presentation
Agrarian laws (Jharkhand) presentation
Shabih Anwer
 
6 wr south_asia
6 wr south_asia6 wr south_asia
6 wr south_asia
mvconnors
 
The physical features of india
The physical features of indiaThe physical features of india
The physical features of india
Aanikett
 
System Analysis And Design Management Information System
System Analysis And Design Management Information SystemSystem Analysis And Design Management Information System
System Analysis And Design Management Information System
nayanav
 
Thermal performance of rural architecture in jharkhand case study of typical ...
Thermal performance of rural architecture in jharkhand case study of typical ...Thermal performance of rural architecture in jharkhand case study of typical ...
Thermal performance of rural architecture in jharkhand case study of typical ...
Janmejoy Gupta
 

Andere mochten auch (20)

Changes in family structure1
Changes in family structure1Changes in family structure1
Changes in family structure1
 
Agrarian laws (Jharkhand) presentation
Agrarian laws (Jharkhand) presentationAgrarian laws (Jharkhand) presentation
Agrarian laws (Jharkhand) presentation
 
Jharkhand ravindra
Jharkhand ravindraJharkhand ravindra
Jharkhand ravindra
 
What Is The Value of Education
What Is The Value of EducationWhat Is The Value of Education
What Is The Value of Education
 
Value Chain and value system
Value Chain and value systemValue Chain and value system
Value Chain and value system
 
6 wr south_asia
6 wr south_asia6 wr south_asia
6 wr south_asia
 
Human Values & Value Education
Human Values & Value EducationHuman Values & Value Education
Human Values & Value Education
 
Vm
VmVm
Vm
 
The physical features of india
The physical features of indiaThe physical features of india
The physical features of india
 
Value system & ethics
Value system & ethicsValue system & ethics
Value system & ethics
 
System Analysis And Design Management Information System
System Analysis And Design Management Information SystemSystem Analysis And Design Management Information System
System Analysis And Design Management Information System
 
Changing family patterns
Changing family patternsChanging family patterns
Changing family patterns
 
Thermal performance of rural architecture in jharkhand case study of typical ...
Thermal performance of rural architecture in jharkhand case study of typical ...Thermal performance of rural architecture in jharkhand case study of typical ...
Thermal performance of rural architecture in jharkhand case study of typical ...
 
Concept map on family #1
Concept map on family #1Concept map on family #1
Concept map on family #1
 
Family and responsible parenthood
Family and responsible parenthoodFamily and responsible parenthood
Family and responsible parenthood
 
Family structures & Classification (for a Sociology Presentation)
Family structures & Classification (for a Sociology Presentation)Family structures & Classification (for a Sociology Presentation)
Family structures & Classification (for a Sociology Presentation)
 
Houses
HousesHouses
Houses
 
Values education MA
Values education MAValues education MA
Values education MA
 
Family
FamilyFamily
Family
 
Values education
Values educationValues education
Values education
 

Ähnlich wie Changes in Family, Domestic, and Agricultural Joint Decision-Making among Rural Korean Couples: A Longitudinal Study

Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...
Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...
Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...
rpesapan
 
Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...
Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...
Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...
CORE Group
 
Economic challenges of the next decade
Economic challenges of the next decadeEconomic challenges of the next decade
Economic challenges of the next decade
Ramasubramanian95
 
Perception Paper to Australian Public health Journal (1)
Perception Paper to Australian  Public health  Journal (1)Perception Paper to Australian  Public health  Journal (1)
Perception Paper to Australian Public health Journal (1)
UYI OSADOLOR
 

Ähnlich wie Changes in Family, Domestic, and Agricultural Joint Decision-Making among Rural Korean Couples: A Longitudinal Study (20)

Determinants of female labor participation
Determinants of female labor participationDeterminants of female labor participation
Determinants of female labor participation
 
Urbanization And Fertility Rates In Ethiopia
Urbanization And Fertility Rates In EthiopiaUrbanization And Fertility Rates In Ethiopia
Urbanization And Fertility Rates In Ethiopia
 
Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...
Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...
Scrutinizing the 'feminization of agriculture' hypothesis: trajectories of la...
 
Data Needs for Gender Research - IFPRI Gender Methods Seminar
Data Needs for Gender Research - IFPRI Gender Methods SeminarData Needs for Gender Research - IFPRI Gender Methods Seminar
Data Needs for Gender Research - IFPRI Gender Methods Seminar
 
Micro zone data
Micro zone dataMicro zone data
Micro zone data
 
10.1.1.137.3383
10.1.1.137.338310.1.1.137.3383
10.1.1.137.3383
 
Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...
Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...
Women in a Bind: The Decline of Marriage, Markets and the State - Mimi Abramo...
 
International Perspectives on Poverty, Social Exclusion, and Homelessness
International Perspectives on Poverty, Social Exclusion, and HomelessnessInternational Perspectives on Poverty, Social Exclusion, and Homelessness
International Perspectives on Poverty, Social Exclusion, and Homelessness
 
Men can cook: Effectiveness of a light-touch men’s engagement intervention to...
Men can cook: Effectiveness of a light-touch men’s engagement intervention to...Men can cook: Effectiveness of a light-touch men’s engagement intervention to...
Men can cook: Effectiveness of a light-touch men’s engagement intervention to...
 
Issrm presentation615
Issrm presentation615Issrm presentation615
Issrm presentation615
 
Migration's effects on sending communities: Zimbabwe case study 7-8-15 - by E...
Migration's effects on sending communities: Zimbabwe case study 7-8-15 - by E...Migration's effects on sending communities: Zimbabwe case study 7-8-15 - by E...
Migration's effects on sending communities: Zimbabwe case study 7-8-15 - by E...
 
Farm Diversification for Strengthening Small Farms in Kentucky
Farm Diversification for Strengthening Small Farms in KentuckyFarm Diversification for Strengthening Small Farms in Kentucky
Farm Diversification for Strengthening Small Farms in Kentucky
 
The Historical Origin of Differences in Gender Norms
The Historical Origin of Differences in Gender NormsThe Historical Origin of Differences in Gender Norms
The Historical Origin of Differences in Gender Norms
 
Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...
Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...
Policy Reform Toward Gender Equality in Ethiopia_N. Kumar and A. Quisumbing_1...
 
Statistical clues to social injustice
Statistical clues to social injusticeStatistical clues to social injustice
Statistical clues to social injustice
 
Cash Transfers and Women's Economic Inclusion
Cash Transfers and Women's Economic InclusionCash Transfers and Women's Economic Inclusion
Cash Transfers and Women's Economic Inclusion
 
Changing Demographics: The Meaning for Advertising and Marketing
Changing Demographics: The Meaning for Advertising and MarketingChanging Demographics: The Meaning for Advertising and Marketing
Changing Demographics: The Meaning for Advertising and Marketing
 
A model on four family functions and their relations in time
A model on four family functions and their relations in timeA model on four family functions and their relations in time
A model on four family functions and their relations in time
 
Economic challenges of the next decade
Economic challenges of the next decadeEconomic challenges of the next decade
Economic challenges of the next decade
 
Perception Paper to Australian Public health Journal (1)
Perception Paper to Australian  Public health  Journal (1)Perception Paper to Australian  Public health  Journal (1)
Perception Paper to Australian Public health Journal (1)
 

Mehr von Rural Soc

Undervalued Sustainable Practice?
Undervalued Sustainable Practice? Undervalued Sustainable Practice?
Undervalued Sustainable Practice?
Rural Soc
 
Pinning Down the Change: A Community-Level Study of Timberland Ownership Change
Pinning Down the Change: A Community-Level Study of Timberland Ownership Change Pinning Down the Change: A Community-Level Study of Timberland Ownership Change
Pinning Down the Change: A Community-Level Study of Timberland Ownership Change
Rural Soc
 
Moving Toward Integration?
Moving Toward Integration?Moving Toward Integration?
Moving Toward Integration?
Rural Soc
 
Effects of Federal Conservation Payments on Fertilizer-use in the Midwest
Effects of Federal Conservation Payments on Fertilizer-use in the MidwestEffects of Federal Conservation Payments on Fertilizer-use in the Midwest
Effects of Federal Conservation Payments on Fertilizer-use in the Midwest
Rural Soc
 
Bluegrass Defiance: The Emergence and Growth of a Grassroots Resistance Movement
Bluegrass Defiance: The Emergence and Growth of a Grassroots Resistance MovementBluegrass Defiance: The Emergence and Growth of a Grassroots Resistance Movement
Bluegrass Defiance: The Emergence and Growth of a Grassroots Resistance Movement
Rural Soc
 

Mehr von Rural Soc (18)

Undervalued Sustainable Practice?
Undervalued Sustainable Practice? Undervalued Sustainable Practice?
Undervalued Sustainable Practice?
 
Sex Trafficking of Native American Women in Mining Towns
Sex Trafficking of Native American Women in Mining TownsSex Trafficking of Native American Women in Mining Towns
Sex Trafficking of Native American Women in Mining Towns
 
Sustaining a Rural Landscape
Sustaining a Rural LandscapeSustaining a Rural Landscape
Sustaining a Rural Landscape
 
Pinning Down the Change: A Community-Level Study of Timberland Ownership Change
Pinning Down the Change: A Community-Level Study of Timberland Ownership Change Pinning Down the Change: A Community-Level Study of Timberland Ownership Change
Pinning Down the Change: A Community-Level Study of Timberland Ownership Change
 
Grits and Gout du Terroir: The Taste of Place in Southern Food Culture
Grits and Gout du Terroir: The Taste of Place in Southern Food Culture Grits and Gout du Terroir: The Taste of Place in Southern Food Culture
Grits and Gout du Terroir: The Taste of Place in Southern Food Culture
 
Moving Toward Integration?
Moving Toward Integration?Moving Toward Integration?
Moving Toward Integration?
 
The New "Farmers"
The New "Farmers"The New "Farmers"
The New "Farmers"
 
FROM BOAT-TO-FORK: LESSONS LEARNED FROM MARKET-BASED ADAPTATION IN DELCAMBRE, LA
FROM BOAT-TO-FORK: LESSONS LEARNED FROM MARKET-BASED ADAPTATION IN DELCAMBRE, LAFROM BOAT-TO-FORK: LESSONS LEARNED FROM MARKET-BASED ADAPTATION IN DELCAMBRE, LA
FROM BOAT-TO-FORK: LESSONS LEARNED FROM MARKET-BASED ADAPTATION IN DELCAMBRE, LA
 
News You Can Lose
News You Can LoseNews You Can Lose
News You Can Lose
 
The Locavore Chef - Exploring Alternative Food Networks in Alberta
The Locavore Chef - Exploring Alternative Food Networks in AlbertaThe Locavore Chef - Exploring Alternative Food Networks in Alberta
The Locavore Chef - Exploring Alternative Food Networks in Alberta
 
Marketing Hometown America
Marketing Hometown AmericaMarketing Hometown America
Marketing Hometown America
 
Assessing the Impacts of the Federal Farm Bill Programs on Rural Communities
Assessing the Impacts of the Federal Farm Bill Programs on Rural Communities Assessing the Impacts of the Federal Farm Bill Programs on Rural Communities
Assessing the Impacts of the Federal Farm Bill Programs on Rural Communities
 
Engenho and Assentamento
Engenho and AssentamentoEngenho and Assentamento
Engenho and Assentamento
 
In The Eye of The Beholder
In The Eye of The BeholderIn The Eye of The Beholder
In The Eye of The Beholder
 
Gender differences in agricultural production strategies: Variations by villa...
Gender differences in agricultural production strategies: Variations by villa...Gender differences in agricultural production strategies: Variations by villa...
Gender differences in agricultural production strategies: Variations by villa...
 
Effects of Federal Conservation Payments on Fertilizer-use in the Midwest
Effects of Federal Conservation Payments on Fertilizer-use in the MidwestEffects of Federal Conservation Payments on Fertilizer-use in the Midwest
Effects of Federal Conservation Payments on Fertilizer-use in the Midwest
 
Bluegrass Defiance: The Emergence and Growth of a Grassroots Resistance Movement
Bluegrass Defiance: The Emergence and Growth of a Grassroots Resistance MovementBluegrass Defiance: The Emergence and Growth of a Grassroots Resistance Movement
Bluegrass Defiance: The Emergence and Growth of a Grassroots Resistance Movement
 
Attitudes Regarding Climate Change in Beef Production Systems
Attitudes Regarding Climate Change in Beef Production SystemsAttitudes Regarding Climate Change in Beef Production Systems
Attitudes Regarding Climate Change in Beef Production Systems
 

Kürzlich hochgeladen

Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...
Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...
Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...
rajputriyana310
 

Kürzlich hochgeladen (20)

Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...
Call Girls Talegaon Dabhade Call Me 7737669865 Budget Friendly No Advance Boo...
 
Koregaon Park ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Read...
Koregaon Park ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Read...Koregaon Park ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Read...
Koregaon Park ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Read...
 
Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
Call Girls Service Pune ₹7.5k Pick Up & Drop With Cash Payment 8005736733 Cal...
 
Booking open Available Pune Call Girls Parvati Darshan 6297143586 Call Hot I...
Booking open Available Pune Call Girls Parvati Darshan  6297143586 Call Hot I...Booking open Available Pune Call Girls Parvati Darshan  6297143586 Call Hot I...
Booking open Available Pune Call Girls Parvati Darshan 6297143586 Call Hot I...
 
Enhancing forest data transparency for climate action
Enhancing forest data transparency for climate actionEnhancing forest data transparency for climate action
Enhancing forest data transparency for climate action
 
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
VIP Model Call Girls Chakan ( Pune ) Call ON 8005736733 Starting From 5K to 2...
 
CSR_Module5_Green Earth Initiative, Tree Planting Day
CSR_Module5_Green Earth Initiative, Tree Planting DayCSR_Module5_Green Earth Initiative, Tree Planting Day
CSR_Module5_Green Earth Initiative, Tree Planting Day
 
Get Premium Hoskote Call Girls (8005736733) 24x7 Rate 15999 with A/c Room Cas...
Get Premium Hoskote Call Girls (8005736733) 24x7 Rate 15999 with A/c Room Cas...Get Premium Hoskote Call Girls (8005736733) 24x7 Rate 15999 with A/c Room Cas...
Get Premium Hoskote Call Girls (8005736733) 24x7 Rate 15999 with A/c Room Cas...
 
Cyclone Case Study Odisha 1999 Super Cyclone in India.
Cyclone Case Study Odisha 1999 Super Cyclone in India.Cyclone Case Study Odisha 1999 Super Cyclone in India.
Cyclone Case Study Odisha 1999 Super Cyclone in India.
 
Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...
Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...
Call Girls in Sakinaka Agency, { 9892124323 } Mumbai Vashi Call Girls Serivce...
 
Call Girls Jejuri Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Jejuri Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Jejuri Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Jejuri Call Me 7737669865 Budget Friendly No Advance Booking
 
(NEHA) Call Girls Navi Mumbai Call Now 8250077686 Navi Mumbai Escorts 24x7
(NEHA) Call Girls Navi Mumbai Call Now 8250077686 Navi Mumbai Escorts 24x7(NEHA) Call Girls Navi Mumbai Call Now 8250077686 Navi Mumbai Escorts 24x7
(NEHA) Call Girls Navi Mumbai Call Now 8250077686 Navi Mumbai Escorts 24x7
 
Call On 6297143586 Pimpri Chinchwad Call Girls In All Pune 24/7 Provide Call...
Call On 6297143586  Pimpri Chinchwad Call Girls In All Pune 24/7 Provide Call...Call On 6297143586  Pimpri Chinchwad Call Girls In All Pune 24/7 Provide Call...
Call On 6297143586 Pimpri Chinchwad Call Girls In All Pune 24/7 Provide Call...
 
Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...
Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...
Call Girls In Bloom Boutique | GK-1 ☎ 9990224454 High Class Delhi NCR 24 Hour...
 
Presentation: Farmer-led climate adaptation - Project launch and overview by ...
Presentation: Farmer-led climate adaptation - Project launch and overview by ...Presentation: Farmer-led climate adaptation - Project launch and overview by ...
Presentation: Farmer-led climate adaptation - Project launch and overview by ...
 
Verified Trusted Kalyani Nagar Call Girls 8005736733 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 Call 𝐆𝐈𝐑𝐋 𝐕...
Verified Trusted Kalyani Nagar Call Girls  8005736733 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 Call 𝐆𝐈𝐑𝐋 𝐕...Verified Trusted Kalyani Nagar Call Girls  8005736733 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 Call 𝐆𝐈𝐑𝐋 𝐕...
Verified Trusted Kalyani Nagar Call Girls 8005736733 𝐈𝐍𝐃𝐄𝐏𝐄𝐍𝐃𝐄𝐍𝐓 Call 𝐆𝐈𝐑𝐋 𝐕...
 
BOOK Call Girls in (Dwarka) CALL | 8377087607 Delhi Escorts Services
BOOK Call Girls in (Dwarka) CALL | 8377087607 Delhi Escorts ServicesBOOK Call Girls in (Dwarka) CALL | 8377087607 Delhi Escorts Services
BOOK Call Girls in (Dwarka) CALL | 8377087607 Delhi Escorts Services
 
Call Girls Moshi Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Moshi Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Moshi Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Moshi Call Me 7737669865 Budget Friendly No Advance Booking
 
DENR EPR Law Compliance Updates April 2024
DENR EPR Law Compliance Updates April 2024DENR EPR Law Compliance Updates April 2024
DENR EPR Law Compliance Updates April 2024
 
VIP Model Call Girls Hadapsar ( Pune ) Call ON 8005736733 Starting From 5K to...
VIP Model Call Girls Hadapsar ( Pune ) Call ON 8005736733 Starting From 5K to...VIP Model Call Girls Hadapsar ( Pune ) Call ON 8005736733 Starting From 5K to...
VIP Model Call Girls Hadapsar ( Pune ) Call ON 8005736733 Starting From 5K to...
 

Changes in Family, Domestic, and Agricultural Joint Decision-Making among Rural Korean Couples: A Longitudinal Study

  • 1. Changes in Family, Domestic, and Agricultural Joint Decision- Making among Rural Korean Couples: A Longitudinal Study Duk-Byeong Park Department of Community Development, Kongju National University, Korea and Gary A. Goreham Department of Sociology and Anthropology, North Dakota State University Rural Sociological Society annual meeting July 31-August 3, 2014 New Orleans, LA
  • 2. South Korea Modernization. Industrialization. Urbanization. Economic development. • Post WW2 (1948). Kim Il-Sung established communist regime in the north; Syngman Rhee established capitalist regime in the south. • Korean War (1950-1953). • Rapid economic growth (1960s). Pres. Park Chung Hee. • Democratic elections, freedom of press, more human rights (1987). • Growing population: 47,470,970 (2000); 50,219,669 (2013). • Declining rural population: high 19,300,260, 67.6% (1965); low 8,362,474, 16.8% (2011). • Decreasing crude birth rate: 15.1 (2000); 8.4 (2012). • Increasing GDP per capita: $17,990 (2004); $23,893 (2014, constant 2000 USD). • Increase in female farmers: 47.8% (2000): 59.5% (2009) (MAF 2009).
  • 3. Korean retail market, 1960s Korean retail market, 2014 Photos: Ed Adams and Gary Goreham.
  • 5. Rice planting, 1960s Rice planting, 2014
  • 6. • South Korean gender-based division of family life tasks is changing. • Rural families increasingly rely on wives’ labor to manage farms (Anthopoulou 2010; Bokemeier & Garkovich 1987; Damisa & Yohanna 2007). • Rural women’s labor participation in farming doubled from 28% in 1970 to 52% in 2006 (Kang 2008). • Rural women’s labor force participation and hourly earnings were higher than their husbands in 2005 (Statistics Korea 2005). • Women farmers are more involved in decision-making; they expanded the areas in which they make decisions (Choi 2001). Rural Couples’ Decision-Making
  • 7. Research Questions • How has the gender-based division of family life tasks changed in rural Korea over the past decade? • How has joint decision-making changed for rural farm couples? For rural nonfarm couples? • Do rural couples make decisions differently based on the type or dimension of family life?
  • 8. Relative Resource Theory • Spouses with more socio-economic resources may leverage those resources when delegating domestic work. • The differential in resources between husbands and wives leads to inequality in family gender roles (Kamo 1988). Gender Role Theory • Men and women engage in different work activities with different perceived value. • The work in which women engage, whether inside and outside the home, may be valued less than the work in which men engage (Deseran and Simpkins 1991).
  • 9. H1: Both rural farm and nonfarm couples engage in increasing amounts of joint decision-making. H2: The rate of increase in joint decision-making for rural farm couples is substantial; less so for nonfarm couples. H2a: Increases in joint decision-making for farm couples are expected particularly in agricultural work and family life given the increase in wives’ on- and off-farm labor participation. H3: Given the traditional nature of rural households, couples’ joint decision-making in domestic work has not increased significantly.
  • 10. Research Methods • “Survey on the Rural Living Indicators” conducted by the Rural Development Administration in Korea; longitudinal panel of rural couples; November 2000, 2005, and 2009. • Cluster sampling: 10 households selected by stratified sampling from 187 community districts out of 12 enumeration districts. Sample of 1,870 rural households. • N=1,409 (2000); 1,492 (2005); 1,564 (2009).
  • 11. 2000 2005 2009 Region Eup (town or village) Myen (remote rural village) 34.7 65.3 37.6 62.4 37.6 62.4 Farm/Nonfarm Farm households Nonfarm households 68.0 32.0 77.2 22.8 73.4 26.6 Age Under 29 30-39 40-49 50-59 Over 60 12.9 19.1 19.8 28.9 19.3 7.9 18.8 20.1 28.8 24.4 4.9 16.3 21.7 27.5 29.7 Occupation Agriculture Other 49.0 51.0 74.0 26.0 61.0 39.0 Family type One person One generation Two generation Three or more generations 14.7 31.0 38.8 15.5 15.4 33.5 35.0 16.1 15.8 36.9 32.9 14.4 Demographic Profile of the Participants (in %; N=1,870)
  • 12. 12 indicators of joint-decision in 3 clusters Agricultural work variables: 1. Buying and selling land and house 2. Selling farm products 3. Money management Family life variables: 4. Household expenses 5. Choosing TV channels 6. Managing children’s education 7. Caring for children 8. Deciding on donations 9. Associating with relatives Domestic work variables: 10. Cooking and dishwashing 11. Laundry 12. Cleaning house Scale: 1=fully husband 2=generally husband 3=together 4=generally wife 5=fully wife
  • 13. Rural Farm and Nonfarm Couples’ Joint Decision-Making, Comparing 2000, 2005, and 2009 1=fully husband, 2=generally husband, 3=together, 4=generally wife, 5=fully wife
  • 14. Agricultural Work Variable Type of household Year N Mean SD F Buying and selling land and house Farm household 2000a 1,037 2.1 0.953 27.910*** 2005b 1,150 2.32 0.862 2009b 1,141 2.38 0.867 Nonfarm household 2000a 341 2.35 0.904 2.179 2005a 246 2.48 0.817 2009a 315 2.48 0.908 Selling farm products Farm household 2000a 1,018 2.36 1.024 24.877*** 2005b 1,109 2.6 0.903 2009b 1,115 2.61 0.871 Nonfarm household 2000a 83 2.72 0.852 0.722 2005a 84 2.75 0.863 2009a 96 2.86 0.936 Money management Farm household 2000a 1,034 1.47 0.736 3.552* 2005ab 1,143 1.51 0.716 2009 b 1,138 1.55 0.746 Nonfarm household 2000a 365 1.87 0.843 0.576 2005 a 257 1.82 0.81 2009 a 314 1.8 0.812 Rural Couples’ Decision-making Scores for Agricultural Work, Comparing 2000, 2005, and 2009 *** p < 0.001, ** p < 0.01, * p < 0.05; a, b, c: Duncan post-hoc test
  • 15. Rural Couples’ Decision-making Scores for Family Life, Comparing 2000, 2005, and 2009 Family Life Variable Type of household Year N Mean SD F Household expense Farm household 2000a 1,043 2.78 1.045 18.407*** 2005b 1,152 2.97 0.883 2009b 1,137 3 0.853 Nonfarm household 2000a 368 3.12 1.038 0.198 2005a 255 3.17 0.869 2009a 312 3.15 0.898 Choosing TV channel Farm household 2000a 1,043 2.7 1.026 9.942*** 2005a 1,151 2.73 0.899 2009b 1,140 2.87 0.881 Nonfarm household 2000a 368 2.84 0.954 0.657 2005a 258 2.76 0.886 2009a 315 2.79 0.831 Managing children’s education Farm household 2000a 1,000 2.87 0.858 8.672*** 2005b 1,117 2.98 0.701 2009b 1,120 2.99 0.66 Nonfarm household 2000a 353 3.07 0.821 0.028 2005a 246 3.09 0.703 2009a 307 3.07 0.694
  • 16. Family Life Variable Type of household Year N Mean SD F Caring for children Farm household 2000a 946 2.66 0.517 3.606* 2005b 1,044 2.6 0.517 2009 1,061 2.62 0.506 Nonfarm household 2000a 348 2.73 0.456 7.315** 2005a 242 2.59 0.517 2009a 286 2.61 0.53 Deciding donations Farm household 2000a 1,049 2.21 0.951 56.783*** 2005b 1,154 2.49 0.847 2009c 1,145 2.59 0.778 Nonfarm household 2000a 369 2.6 0.957 2.435 2005a 256 2.61 0.804 2009a 316 2.73 0.824 Associating with relatives Farm household 2000a 1,032 1.73 0.601 25.867*** 2005b 1,134 1.8 0.56 2009c 1,126 1.91 0.573 Nonfarm household 2000 367 1.9 0.63 3.174* 2005a 252 1.8 0.606 2009b 309 1.93 0.61
  • 17. Domestic Work Variable Type of household Year N Mean SD F Cooking and dishwashing Farm household 2000a 1,029 2.94 0.272 0.987 2005a 1,141 2.92 0.309 2009a 1,138 2.93 0.28 Nonfarm household 2000a 370 2.92 0.283 1.561 2005a 257 2.88 0.365 2009a 311 2.88 0.358 Laundry work Farm household 2000a 1,024 2.94 0.278 0.151 2005a 1,137 2.93 0.293 2009a 1,132 2.93 0.287 Nonfarm household 2000a 368 2.94 0.264 2.409 2005b 258 2.88 0.381 2009 311 2.91 0.338 Cleaning house Farm household 2000a 1,017 2.84 0.404 6.857** 2005b 1,129 2.78 0.472 2009b 1,126 2.79 0.448 Nonfarm household 2000a 368 2.86 0.388 4.501* 2005a 257 2.76 0.47 2009a 304 2.77 0.487 Rural Couples’ Decision-making Scores for Domestic Work, Comparing 2000, 2005, and 2009
  • 18. Summary 1. Following the process of modernization, a trend toward greater joint decision-making is occurring for rural couples. 2. Although increasingly made jointly, agricultural decisions are generally by husbands. 3. Farm couples are moving toward more joint agricultural and family life decisions. 4. Farm and nonfarm couples’ domestic work decisions continue to be made jointly.
  • 19. 1. Enhancing women’s power in joint decision can benefit the economic and social well-being of rural families. 2. Rural women’s participation in joint decision-making may empower them by improving their legal and economic status. 3. Educational programs for women and husbands may be necessary as family farming evolves. These programs could assist rural couples to share decision-making power in agriculture, family life, and domestic work. 4. Empowering rural women economically and politically will transform them from playing invisible, subordinate roles to leadership and active community members. 5. Rural women will be positioned to use their untapped abilities for local development to benefit their families and communities. Implications
  • 20. References Anthopoulou, T. 2010. “Rural women in local agrofood production: between entrepreneurial initiatives and family strategies: a case study in Greece.” Journal of Rural Studies 26: 394-403. Bokemeier, J. & L. Garkovich. 1987. “Assessing the influence of farm women’s self-identity on task allocation and decision making.” Rural Sociology 52(1): 13-36. Choi, K. 2001. “Sex-role attitude, conjugal status level and status satisfaction of married women living in Korean rural area.” Journal of Korean Home Management Association 19(3): 53-72. Damisa, M. & M. Yohanna. 2007. “Role of rural women in farm management decision making process: ordered Probit analysis.” World Journal of Agricultural Sciences 3(4): 543-546. Deseran, F. & N. Simpkins. 1991. “Women’s off-farm work and gender stratification.” Journal of Rural Studies 7(1-2): 91-97. Kamo, Y. 1988. “Determinants of household division of labor: resources, power, and ideology.” Journal of Family Issues 9(2): 177-200. Kang, H. 2008. “Factors affect women farmers’ economic activities.” Journal of Rural Development 31(4): 69-81 Ministry of Agriculture and Forestry (MAF). 2009. Statistics on Women Farmers. Seoul, Korea.