SlideShare une entreprise Scribd logo
1  sur  8
Télécharger pour lire hors ligne
IOSR Journal of Humanities and Social Science (IOSRJHSS)
ISSN: 2279-0845 Volume 1, Issue 4 (Sep.-Oct. 2012), PP 08-15
www.iosrjournals.org

    Intra Household Labour Distribution and Role of Women in
                Family Decision Making Process
                                          Md. Shafiqul Islam1
Assistant ProfessorCenter for Sustainable Development, University of Liberal Arts Bangladesh, Dhaka,
                                                    Bangladesh

Abstract: A study on intra-household labor distribution and role of women in family decision making process
was conducted over a period of 3 months with respect to sample 1 (S-1) single family with two children
(children age around 12 years), sample 2 (S-2) joint family with husband and wife, brother-sister, father mother
and children, sample 3 (S-3) joint family, husband-wife, brother-sister, father-mother and children (with
primary education in any one).Total 30 families (10 from each sample) were assessed in terms of labor
distribution in productive, reproductive, community & other works, role of women in family decision making
process and work load after joining in to SHABGE-DFID project. Male members from all samples were spent
more time in productive works and they have negligible role in reproductive works. The female members were
spent more time in reproductive works. They were also spent remarkable time in productive works and little bit
in community works. The female members from sample 1 were spent more time for various works in a day than
other samples. The female members in sample 3 were spent less time than other samples and it is due to their
consciousness (for their primary education). Among all the samples workload increased after joining in
SHABGE-DFID project. They were managed this work load by taking help from husband and children (incase
of sample 2&3). After joining in the SHABGE-DFID project 50% female from sample (1&2) were took part in
family decision making process i.e. they were involved in family decision making process actively. After
completion of the project the family members would be aware about their individual role and women could be
take part in family decision making process more actively.
Key words: Intra; Household; Women empowerment; Family decision; Productive and reproductive works;
Farmer Field School

                                           I.          Introduction
          Bangladesh lies in the north eastern part of South Asia between 20 o34' and 26o38' north latitude and
88 1' and 92o41' east longitude. Bangladesh is a densely populated country in the south Asia. Women in
   0

Bangladesh constitute 48% of the total population of which 86% are illiterate. The life of a woman in
Bangladesh is therefore dominated by the social system. Such a system upholds a rigid division of labor that
controls women's mobility, roles and responsibility, and sexuality. Traditionally, a woman in Bangladesh
derives her status from her family. Her role includes the maintenance of her family as a social institution and as
an economic entity. Most importantly, through child bearing and child rearing, she ensures the existence of
succeeding generations. Increasingly, however, women's roles, responsibility, and mobility are changing due to
unrelenting poverty and the gradual attrition of the familial umbrella of support.
          Women in rural Bangladesh are major but largely unrecognized contributors to agricultural and
economic productivity. Half of these human resources consist of women and the majority of them (92.05%) live
in rural areas (Islam 1977).
          There is a close connection between access to resources and control over their use, and the power to
make decisions; but they are distinguishable issues. Within the household, decisions are taken on the sale of
products, land, or animals, the production process itself (what to produce, when, where, why, how),
development of the infrastructure, whether to save or invest, and whether some members of the household
should work on the farm or take other jobs outside the household. Productive activities can help to strengthen
the position of women in the decision-making process within the household. Gender is an important dimension
for the analysis and eradication of poverty (Kabeer 1994).
          Pragmatic indication across countries suggests that the number of households below the poverty line is
significantly higher for female- than for male headed households. Over 95 percent of female-headed households
in Bangladesh are considered to fall below the poverty line (UNDP 1996). In Bangladesh, official estimates
suggest that less than a tenth of households are headed by women (BBS 1996), but the actual proportion could
be around 20-30 percent (Afsar 1997; MOWCA 1997). Bangladesh's NGOs provide microcredit to some 8
million people, mostly women (World Bank 1998) and their number has increased substantially over the years.


                                                www.iosrjournals.org                                      8 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
Women have profound knowledge of the plants, animals, and ecological processes around them. Women
perform various activities, e.g., collecting, processing, storing, utilization, management, and marketing.
Women's roles and responsibilities are pivotal not only to the management of natural resources but also to the
management of the domestic economy. However, women's roles are mostly undocumented and unaccounted in
the official statistics.
          A good number of rural women are also involved in rural construction work. Women workers are
found in certain activities traditionally falling within the male domain (e.g., earthwork, construction, and
agricultural work in the field). This is particularly the case for landless women who largely belong to the
hardcore poor group. It indicates growing economic pressure and erosion of familial support and traditional
beliefs and norms regarding women's outside work.
          Strengthening Household Access to Bari Gardening and Extension (SHABGE) DFID project also
worked with poor homestead farmers in the South-East and North-West regions of the country. The project
aimed to work with a total populations of 3,10,000 poor families of which 75% were women and rest of the
participants were men. The main purpose of the project was to improve household food security status of the
targeted populations by means of increasing their capacity to manage homestead gardens.
          Actually, women in many societies have limited mobility, limited access in land use and land tenure
reflects status, inheritance patterns, family and community structure and national policy. Being responsible for
various tasks both within and outside the home, they are forced to work a “double day”.
          Several study also enumerate that rural woman works very long hours tend to 16 hours a day. They do
tasks which includes a high degree of physical toil. But they may not have decision making role or rights over
land use.
          It also refers to access to and control over one’s own labour and the benefits of production, which
include cash income, food, and other products for home consumption, sales, or exchange. Gendered access to
and control over specifically homestead and natural resources often means that women have rights of renewable
use (such as harvesting leaves from trees), while men have rights of consumption (harvesting the tree itself, for
example). For female heads of household, their access to resources is often limited to those of poorer quality,
and the consequence is lower agricultural production levels compared with male heads of household.
          The study was carried out to assess the labor distribution system within a household as well as to know
the role of women in the family decision making process. The other objectives of the study were to assessed the
relative measures of the time spent by individual household; assessed how much workload of women increase
after joining in SHABGE-DFID Project and how she managed this increased workload; assessed how an woman
played her role in family decision in the previous context and compare the same with an woman who was joined
in the project
                                         II.         Methodology
         The study was concentrated in two Upazila under Dinajpur district and the study design was developed
in an open-ended iterative process over a period of 3 months. The total 30 Farmer Field Scholl (FFS) members
were selected from 210 FFS. The interview was made or designed based on single family, family consists of
wife, husband and two/three children (grand father and mother, elderly person), children age around 5-12 years,
interested family, primary educated family (any one sample), Agro based family (vegetable, poultry and
livestock) land holding 50 decimal (homestead field) and FFS household.
After preliminary & socioeconomic survey the parameters of potential value for the study were reviewed. Based
on the family types of FFS members were categorized in to three groups as follows:
i.       Sample (S-1): Single family with two children (children age around 12 years)
ii.      Sample (S-2): Joint family, husband-wife, brother-sister, father-mother and children.
iii.     Sample (S-3): Joint family, husband-wife, brother-sister, father-mother and children (primary education
A partly random, partly purposive sample of 30 FFS farmers household were selected from three types of
samples (10 from each sample) for interview based on a standard questionnaire. The instrument used for data
collection was semi-structured questionnaire, covering labor distribution in productive, reproductive work,
social/community works.

                                           III.         Results
1.        DEMOGRAPHY AND POPULATION CHARACTERISTICS
          Demography and population characteristics of the study area includes occupation, age, sex, labor
distribution in productive, reproductive, social and other works. The average age of the female respondents were
mostly between 13-50 years (Table I). About 50% of the total populations were male and remaining female.
Among household members 23% less than 13 years old, 61% were (13-50) years old and only 12 % were older
than 50 years.




                                           www.iosrjournals.org                                          9 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
                             Table I: Average age distribution of FFS family members

             Sample     Sex                                       Age group
                                             (5-12) years     (13-50) years (50+) years
             S1         Male n=20            10(50)           10(50)
             N=37       Female n=17          7(41)            10(59)
             S2         Male n=23            5(22)            15(65)           3(13)
             N=50       Female n=27          5(19)            14(52)           8(29)
             S3         Male n=26            6(23)            18(69)           2(8)
             N=39       Female n=13          1(8)             10(78)           2(7)
             All        Male n=69            21(47)           43(62)           5(7)
             N=126      Female n=57          13(23)           34(60)           10(10)
                  N=total population
                  Figure in parenthesis indicate percentage value

                                Table II: Main occupation of the FFS members
              Sample                                               Occupation
                           Agriculture    Labor sale    Housewife      Business          Study      &
                                                                                         others
           S1             8(22)           7(19)          7(19)         2(5)              13(35)
           N=37
           S2             14(28)          11(22)         16(32)                       9(18)
           N=50
           S3             7(18)           8(21)          10(26)        5(13)          9(23)
           N=39
           All            29(23)          26(21)         33(26)        7(6)           31(24)
           N=126
                 N=total population
                 Figure in parenthesis indicates percentage value
         The main occupations of the FFS members were housewife, agriculture, labor sale and then business.
Among the entire sample only 24% members were studied at different level. Other than study, most of the
members were involved in agriculture then labor sale, housewife and business in sample 1 (Table II). Thirty two
percent respondents in the sample 2 and 26% in sample 3 were housewife though selling of labor is the
important sources of income.

                       IV.           Labour Distribution In Productive Works
          Actually productive works directly involve with production and it is well recognized that male are
involved directly in productive works, where as female are involved directly in reproductive works. Productive
works are those directly related with production including livestock & poultry rearing, vegetables & crops
cultivation, marketing and labour sales. In this section results were discussed about the time spent by the female
members for various productive works from different sample.

2.1 Pasture management: Comparing with all of the members among the samples, the male members of (5-12)
years in sample-2 were spent maximum time (1.04 hours) for pasture. In sample-1 the members of age (5-12)
years, the male members were spent more time than female and similar for sample-3. In case of sample-2, the
female members of age (13-50) were spent more time than male.

2.2 Livestock & poultry rearing: Livestock rearing is the part and parcel in the life for the rural poor people.
The female members belong to (13-50) years old in sample 1 were spent more time than other male and female
members among all of the members in the samples (Fig1). Poultry rearing in the areas are only for the women.
The female members of different age among the samples were involved in poultry rearing more than male.
Among the sample families, the female members in sample 3 were spent more time than other member’s (Fig
2).




                                           www.iosrjournals.org                                         10 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
                                                                                                  Live Stock


                     1.2

                          1

                     0.8

                     0.6                                                                                                                                                          Live Stock

                     0.4

                     0.2

                          0
                                  M       F       M        F       M   F      M    F        M        F     M       F       M       F        M        F       M        F

                                     (5-     (13-                  50+          (5-     (13-                 50+          (5-     (13-                          50+
                                  12)Years 50)Years                          12)Years 50)Years                         12)Years 50)Years

                                                      S1                                        S2                                              S3


                                          Figure 1 Average time spend for livestock rearing

                                                                                                Poultry rearing


                     0.12

                          0.1

                     0.08

                     0.06                                                                                                                                                    Poultry rearing

                     0.04

                     0.02

                              0
                                    M     F       M        F       M   F      M    F    M        F       M     F       M       F       M        F     M      F

                                      (5-     (13-                 50+          (5-     (13-               50+          (5-     (13-                      50+
                                   12)Years 50)Years                         12)Years 50)Years                       12)Years 50)Years

                                                      S1                                    S2                                             S3


                                              Figure 2 Average time spend for poultry rearing

2.3 Vegetables & crop production: The male members between (13-50) years old in sample1 were spent more
time (0.89 hours) than other members (both male & female) among all of the members in the samples (Fig 3).
Similarly the female members of age (13-50) years in sample 1 were spent more time than other female
members.

                                                                                        Crop/Veg cultivation


                     1
                    0.9
                    0.8
                    0.7
                    0.6
                    0.5                                                                                                                                                   Crop/Veg cultivation
                    0.4
                    0.3
                    0.2
                    0.1
                     0
                               M      F       M       F        M   F     M     F   M        F     M      F       M     F       M        F       M        F

                                 (5-     (13-                  50+        (5-     (13-               50+          (5-     (13-                      50+
                              12)Years 50)Years                        12)Years 50)Years                       12)Years 50)Years

                                               S1                                      S2                                          S3


                     Figure 3 Average time spend for crops and vegetable cultivation

2.4 Marketing of the produces: Mainly market and marketing were handled by the male members among the
samples; the female members in sample 2 were spent (0.10 hour) for marketing only. The maximum time (1.79
hours) were spent for marketing by the male members of age (13-50 yrs) in sample 1.

2.5 Labour sale: Labour sale is the backbone for rural poor people. The male members of age (13-50) years
from sample 2 were spent maximum time (5.70 hours) for labour sale in a day then sample 3 and sample 1. The
female members of age (13-50) years from both sample (1&2) were spent more time for labour sale (Fig 4).




                                                                           www.iosrjournals.org                                                                                                  11 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
                                                                                                               Labor Sales


                            6

                            5

                            4

                            3                                                                                                                                                                 Labor Sales

                            2

                            1

                            0
                                    M       F       M        F        M         F       M     F       M        F       M       F       M        F       M        F       M       F

                                       (5-     (13-                       50+              (5-     (13-                 50+               (5-     (13-                   50+
                                    12)Years 50)Years                                   12)Years 50)Years                              12)Years 50)Years

                                                        S1                                                S2                                                S3


                                                    Figure 4 Average time spend for labour sale

                       V.                            Labour Distribution In Reproductive Works
3.1 Fire wood/fuel collection: The maximum time (1.48 hours) were spent for fire wood collection by the
female members of age (13-50) years in sample-3, then sample-1 and sample-2. The male members of age (13-
50) were spent little time for fire wood collection among the samples. In case of sample-1, the male members of
age (5-12) years were spent more time than female members (Fig 5).

                                                                                                          Fire wood collection


                                1.6

                                1.4

                                1.2

                                    1

                                0.8                                                                                                                                                  Fire wood collection

                                0.6

                                0.4

                                0.2

                                    0
                                                M    F       M        F       M     F     M   F       M       F    M       F    M       F       M       F   M        F

                                               (5-    (13-                    50+           (5-    (13-                50+        (5-    (13-                50+
                                            12)Years50)Years                             12)Years50)Years                      12)Years50)Years

                                         Task                    S1                                   S2                                        S3



                                    Figure 5 Average time spend for fire wood collection

3.2 Home maintenance: In sample-2, the female members of age (13-50) years were spent more time (1.45
hours) than other members and as well as among the samples. The male members among the sample were
played minimum role in reproductive works (Fig-2b). Only the female members of age (5-12) years were
assisted their mother for home maintenance.

3.3 Food preparation/cooking food: The female members of age (13-50) years were spent more time than
male members. The female members of age (5-12) years were also assisted their mothers in cooking food (Fig
6). The male members among the samples were played negligible role in cooking food. But in case of members
(both male and female age of 5-12 years) were spent few time for help in cooking food.

                                                                                                                  Cook food


                                4

                            3.5

                                3

                            2.5

                                2                                                                                                                                                               Cook food

                            1.5

                                1

                            0.5

                                0
                                        M       F    M           F        M         F     M       F       M        F       M       F        M       F       M        F       M       F

                                           (5-     (13-                    50+              (5-     (13-                     50+           (5-     (13-                      50+
                                        12)Years 50)Years                                12)Years 50)Years                              12)Years 50)Years

                                                         S1                                                   S2                                                S3


                                                `                          Figure 6 Time spend for cooking food

3.4 Child rearing: Children rearing is the another vital issues in our society. Mostly female takes part in child
rearing rather than male. Fig 7 showed that the female members of age (13-50) years were spent more time than

                                                                                  www.iosrjournals.org                                                                                                      12 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
female members as well as among the samples. Among the samples, the male members also spent their time for
children rearing occasionally.

                                                                         Children rearing


                       1.6

                       1.4

                       1.2

                        1

                       0.8                                                                                             Children rearing

                       0.6

                       0.4

                       0.2

                        0
                              M   F   M        F   M   F    M   F   M        F   M   F    M   F   M        F   M   F

                                (5-     (13-       50+        (5-     (13-       50+        (5-     (13-       50+
                             12)Years 50)Years             12)Years 50)Years             12)Years 50)Years

                                          S1                            S2                            S3


                                   Figure 7 Average time spend for rearing the child

                       VI.                     Labour Distribution In Community Works
4.1 Youth activities: Mostly this activity was performed by the male members solely in the family as well as
among the samples. The female member never spent time for such type of activities. The female members (13-
50) years old in sample 1, were spent little time (0.12 hours) in organizing youth activities.
4.2 Organizing meeting: The male members (13-50) years old in sample 2, were spent more time (1 hour) in
organizing meeting than other members among the samples. Comparatively female members among the sample
were spent same time for organizing meeting.
4.3 Participation in sports activities: The male members within the age (5-12) years in sample 3 were spent
more time (1.64 hours) for playing than female members. Only the male members age between 13 to 50 years in
sample 2 were spent time (0.40 hour) for play. The members (both male & female) in all age were involved in
different productive and reproductive works.

                VII.               Role Of Women In Family Decision Making Process
         Women are disadvantaged in many ways, they are almost always relatively poor, and they are weak in
land rights, weak in political voice and poor access to benefit such as extension activities and credit. They work
rarely on land which they own, they may not have decision making rights over land use. They work mostly as
unpaid maid servants. A third of the world’s households are headed by women, but these households tend to be
among the world’s poorest households.

                           Table III: Role of women in family decision making process
          sample       Before joining into SHABGE-DFID After joining into SHABGE-DFID
                       Project                                    Project
                       Male           Female         Jointly      Male        Female   Jointly
       S1 N=10         7(70)          1(10)          2(20)        4(40)          1(10) 5(50)
       S2 N=10         7(70)                         3(30)        6(60)                4(40)
       S3 N=10         6(60)                         4(40)        5(50)                5(50)
       All N=30        20(67)         1(3.33)        9(30)        15(50)      1(3)     14(47)
                   N=total population
                   Figure in parenthesis indicates percentage value

          Before joining into the SHABGE-DFID Project, 70% male from sample 1&2 and 60% from sample 3
were took part in decision making process alone. On an average 67% male, 3% women and 30% jointly take
part in family decision making process (Table III). Corresponding figure on an average 50% male, 3% women
and 47% jointly take part in family decision making process after joining into the SHABGE-DFID Project due
to creation of awareness and exposure of women in the society. In the sample-1, they take decision by
discussing the subject matter among the family members.




                                                           www.iosrjournals.org                                                           13 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
                                       Table IV: workload for women
          Sample         Workload increased       Means of increased workload management
                         Yes          no          Own          Help by Husband       Other
                                                               children              members
          S1 N=10        10(100)                  10(100)      4(40)      10(100)
          S2 N=10        10(100)                  10(100)      2(20)      10(100)       6(60)
          S3 N=10        10(100)                  10(100)      3(30)      10(100)       5(50)
          All N=30       30(100)                  30(100)      9(30)      30(100)    11(37)
                N=total population
                Figure in parenthesis indicates percentage value.

         100% respondents opined that workload increased due to joining into SHABGE-DFID project. They
were managed it by taking help from other members. In sample 1, 40% children and husband were helped in
managing extra work load. On an average 37% among sample took help from their children and other members
and 30% took help from husband only (Table IV). Several types of work increased likely attending in the
session, study plot management etc. Several activities were hampered due to joining into SHABGE-DFID
project; such activities include coking food, child care, labor sale, home management, poultry rearing &
livestock rearing. They were managed these workload by taking help from children & husband (in case of
sample-1). In addition they are managing it by taking help from other members (Sample 2& 3).

                                        VIII.          Discussion
           Owing of economic resources is likely to restrict women’s economic choices more than men’s. Lesser
purchasing power renders to lesser decision making power. In developing countries, the laws of inheritance and
ownership generally disfavor women more than in developed countries, which may be a significant factor
affecting the financial resources women have at their disposal. At the political level women also have less voice.
Another important decision making power with economic implications concerns the power to decide on one’s
own body, sexuality and the number of children. Particularly in the study areas, the customs and norms tend to
restrict the choices women are able to make in this respect.
           Nieves (1981) has pointed out, this is often not very helpful to the women themselves, who have no
choice about whether to work or not. For women in low-income families the issue is, precisely, how to balance
work with their child-care responsibilities.
Women care for poultry and livestock. Yet women's contribution to agricultural and household production
receives less recognition than their domestic and child-rearing chores which are economic tasks in our view
(Kabir et al 1977).
           The participation of men, women and children in a family is so interdependent that they support each
other in everyday life in a large number of social, productive and economic activities (Hussain et al 1988). The
SHABGE-DFID Project were tried to focus on empowering women by recruiting more female participants.
Result showed that no female members were involved in marketing.. The female members’ age between (13-50)
years in the sample 1 were spent more time for various works than other samples. In sample 3, the female
members were spent less time (7.05 hours) for various works. Men and women play different role in the society,
but their relations do not make a sense of a gender division. In the single family male and female members both
were engaged in productive works. On average male members were spent one and half hours more than female
members in the productive works. In case of sample 1 & 2, female members were spent little time than male in
productive works.
           In case of reproductive works, the female members in sample 2 were spent more times (6.85 hours)
than other members of the samples. There was no vital role of the male members in reproductive works among
the samples. Since women are usually subordinated or suppressed by men, the women needs should not be in
isolation, but in the context of the gender relations.
In the terms of the “Gender and Development” literature (Moser 1993) empowerment is the equivalent of
meeting women strategic gender needs. Development process are gendered and this should be taken into
account in the planning and execution all of development interventions. Gender analysis and gender planning
have been developed as powerful tools for this purpose. Moser (1993) distinguishes women’s strategic and
practical needs.
           Women were weak in family decision making process before joining in SHABGE-DFID Project. After
joining in SHABGE-DFID project, 50% female from sample-1 & 2 were took part in family decision making
process actively. This indicates that they are playing active role in combined family decision making process.
Dwyer (1993) has pointed out that women's allocational priorities are often geared toward survival strategies,
while men's priorities may focus on mobility


                                           www.iosrjournals.org                                         14 | Page
Intra Household Labour Distribution and Role of Women In Family Decision Making Process
The workload of female also increased due to joining into SHABGE-DFID project. They were managing it by
taking extra load and with the support from other family members including children and husband (In case of
sample 1) and with the help from other family members including father and mother (sample 1 &2).

                                 IX.             Conclusion And Recommendation
         Considering rural income-generating activities including postharvest activities, cow fattening and
milking, goat farming, backyard poultry rearing, pisciculture, agriculture, horticulture, food processing, cane
and bamboo works, silk reeling, handloom, garment making, fish net making, coir production, and handicrafts
women are playing great role in fostering the works.
Rural women play a major role in managing both household and natural resources including soil, water, forests,
and energy. Their tasks in agriculture, forestry, and animal husbandry as well as in the household make them
daily managers of the living environment.

          It is widespread that the women have worked long hours in a day especially for reproductive works and
social works. The gender aspect in a way has seen both a strong point in the SHABGE-DFID project. It has been
strong in the sense that the project has addressed women’s and their family needs in a relevant way. In a view of
the fact that the project is about homestead gardening, this is traditionally women’s domain. It is palpable that
gender is mentioned in the project’s objectives and log frame. In a sense the project has actually reinforced the
prevalent gender division of labor.
It is recommended to carry out same type of study or in-depth study after completion of the project to assess the
role of women in family decision making process and control over household resources.

                                                             Reference
[1.]    Afsar, Rita. 1997. Onus of Poverty on Women in the Poorer Settlements of Dhaka City, Women
[2.]    and Poverty. Women for Women Research and Study Group, Dhaka.
[3.]    Bangladesh Bureau of Statistics (BBS). 1996. The Household Expenditure Survey, 1991-92. Dhaka.
[4.]    Dwyer DH (1993). Women and income in the third world: implications for policy. Population Council International Programs
        Working Paper no. 18. New York: Population Council..
[5.]    Hussain M S, Abedin M Z, Quddus M A, Hossain S M M, Banu T Ara and Ahmed D 1988 Women's contribution to homestead
        agricultural production systems in Bangladesh, Published in Bangladesh Academy for Rural Development, pp307
[6.]    Islam S 1977 Women, Education and Development in Bangladesh; A few reflections, Role of women in Socio-economic
        development in Bangladesh-Proceedings of a Seminar, Bangladesh Economic Association Dhaka, March, 1977, pp121-131
[7.]    Kabeer, Naila. 1994. Reversed Realities and Gender Hierarchies, in Development Thought.
[8.]    London: Verso.
[9.]    Kabir K, Abed A and Chen M 1977 Rural women in Bangladesh: Exploding some myths. Role of Women in Socio-economic
        development in Bangladesh. Proceedings of a Seminar, Bangladesh Economic Association Dhaka, March, 1977, pp72-79
[10.]   Ministry of Women and Children Affairs 1997. National Action Plan for Implementation of Beijing Platform for Action.
[11.]   Moser,C. 1993. Gender Planning and Development. Theory, Practice and Training, London, Routledge
[12.]   Nieves I 1981 A balancing act: strategies to cope with work and motherhood in developing countries. Paper prepared for
        roundtable conference on The interface between poor women's nurturing and productive roles, International Center for Research on
        Women, Washington, DC, 1981.
[13.]   United Nations Development Programme. 1996. Report on Human Development in Bangladesh.
[14.]   World Bank. 1998. Partnership in Development: The World Bank Assistance to Bangladesh.
[15.]   Dhaka Office: World Bank.




                                                   www.iosrjournals.org                                                        15 | Page

Contenu connexe

Tendances

Women and the sustainable management of environment
Women and the sustainable management of environmentWomen and the sustainable management of environment
Women and the sustainable management of environment
Tasadduq Hussain
 
Gender Equality Update No 4 - 17th August
Gender Equality Update No 4 - 17th AugustGender Equality Update No 4 - 17th August
Gender Equality Update No 4 - 17th August
Marie Sophie Pettersson
 
Gender Issues in the Context of Low Emissions Development Strategies
Gender Issues in the Context of Low Emissions Development StrategiesGender Issues in the Context of Low Emissions Development Strategies
Gender Issues in the Context of Low Emissions Development Strategies
UNDP Eurasia
 
Gender issues&sustainable development(l 5)
Gender issues&sustainable development(l 5)Gender issues&sustainable development(l 5)
Gender issues&sustainable development(l 5)
Farha Sharmin
 

Tendances (20)

An Investigation into the Status of Riverbank (Char) Women Dwellers in Bangla...
An Investigation into the Status of Riverbank (Char) Women Dwellers in Bangla...An Investigation into the Status of Riverbank (Char) Women Dwellers in Bangla...
An Investigation into the Status of Riverbank (Char) Women Dwellers in Bangla...
 
Husbands’ international labour migration and the change of wives’ position am...
Husbands’ international labour migration and the change of wives’ position am...Husbands’ international labour migration and the change of wives’ position am...
Husbands’ international labour migration and the change of wives’ position am...
 
Gender empowerment in agriculture and development
Gender empowerment in agriculture and developmentGender empowerment in agriculture and development
Gender empowerment in agriculture and development
 
Analysis of the socioeconomic factors affecting women’s
Analysis of the socioeconomic factors affecting women’sAnalysis of the socioeconomic factors affecting women’s
Analysis of the socioeconomic factors affecting women’s
 
Women and the sustainable management of environment
Women and the sustainable management of environmentWomen and the sustainable management of environment
Women and the sustainable management of environment
 
Women's accessibility to resources of agricultural productivity in borno stat...
Women's accessibility to resources of agricultural productivity in borno stat...Women's accessibility to resources of agricultural productivity in borno stat...
Women's accessibility to resources of agricultural productivity in borno stat...
 
Empowering Women to Become Farmers Entrpreneurs: Case Study of an NGO-Support...
Empowering Women to Become Farmers Entrpreneurs: Case Study of an NGO-Support...Empowering Women to Become Farmers Entrpreneurs: Case Study of an NGO-Support...
Empowering Women to Become Farmers Entrpreneurs: Case Study of an NGO-Support...
 
Role of Bhutanese Women towards Socio-Economic Development: A Case of Chapcha...
Role of Bhutanese Women towards Socio-Economic Development: A Case of Chapcha...Role of Bhutanese Women towards Socio-Economic Development: A Case of Chapcha...
Role of Bhutanese Women towards Socio-Economic Development: A Case of Chapcha...
 
Gender Equality Update No 4 - 17th August
Gender Equality Update No 4 - 17th AugustGender Equality Update No 4 - 17th August
Gender Equality Update No 4 - 17th August
 
Land accessibility the burden on socio – economic livelihood of women in akpo...
Land accessibility the burden on socio – economic livelihood of women in akpo...Land accessibility the burden on socio – economic livelihood of women in akpo...
Land accessibility the burden on socio – economic livelihood of women in akpo...
 
A Review of Evidence on Gender Equality, Women’s Empowerment, and Food Systems
A Review of Evidence on Gender Equality, Women’s Empowerment, and Food SystemsA Review of Evidence on Gender Equality, Women’s Empowerment, and Food Systems
A Review of Evidence on Gender Equality, Women’s Empowerment, and Food Systems
 
Gender Issues in the Context of Low Emissions Development Strategies
Gender Issues in the Context of Low Emissions Development StrategiesGender Issues in the Context of Low Emissions Development Strategies
Gender Issues in the Context of Low Emissions Development Strategies
 
Measuring empowerment in agricultural development projects using WEAI and WELI
Measuring empowerment in agricultural development projects using WEAI and WELIMeasuring empowerment in agricultural development projects using WEAI and WELI
Measuring empowerment in agricultural development projects using WEAI and WELI
 
Impact of Gender Involvement in Sustainable Water Development Projects in Iba...
Impact of Gender Involvement in Sustainable Water Development Projects in Iba...Impact of Gender Involvement in Sustainable Water Development Projects in Iba...
Impact of Gender Involvement in Sustainable Water Development Projects in Iba...
 
Women’s Empowerment in Agriculture and Nutritional Outcomes in Ethiopia
Women’s Empowerment in Agriculture and Nutritional Outcomes in EthiopiaWomen’s Empowerment in Agriculture and Nutritional Outcomes in Ethiopia
Women’s Empowerment in Agriculture and Nutritional Outcomes in Ethiopia
 
Women’s empowerment in agriculture: Lessons from qualitative research
Women’s empowerment in agriculture: Lessons from qualitative researchWomen’s empowerment in agriculture: Lessons from qualitative research
Women’s empowerment in agriculture: Lessons from qualitative research
 
Characteristics of poverty in pakistan
Characteristics of poverty in pakistanCharacteristics of poverty in pakistan
Characteristics of poverty in pakistan
 
Gender and development.-ppt
Gender and development.-pptGender and development.-ppt
Gender and development.-ppt
 
Gender issues&sustainable development(l 5)
Gender issues&sustainable development(l 5)Gender issues&sustainable development(l 5)
Gender issues&sustainable development(l 5)
 
Integrating gender into livestock programs in Southeast Asia
Integrating gender into livestock programs in Southeast AsiaIntegrating gender into livestock programs in Southeast Asia
Integrating gender into livestock programs in Southeast Asia
 

Similaire à B0140815

Women and occupational Health
Women and occupational HealthWomen and occupational Health
Women and occupational Health
Saratu G Abdul
 
2020 GAD Webinar 1_Basic GAD Concepts.pptx
2020 GAD Webinar 1_Basic GAD Concepts.pptx2020 GAD Webinar 1_Basic GAD Concepts.pptx
2020 GAD Webinar 1_Basic GAD Concepts.pptx
Charlie465284
 
Rural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyahRural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyah
Alexander Decker
 

Similaire à B0140815 (20)

A study on factors affecting decision making of farm women
A study on factors affecting decision making of farm womenA study on factors affecting decision making of farm women
A study on factors affecting decision making of farm women
 
Participation of family women in agricultural production-a case study of jaff...
Participation of family women in agricultural production-a case study of jaff...Participation of family women in agricultural production-a case study of jaff...
Participation of family women in agricultural production-a case study of jaff...
 
H0362055058
H0362055058H0362055058
H0362055058
 
Unpacking the “Gender Box”: Identifying the Gender Dimensions of Your Research
Unpacking the “Gender Box”: Identifying the Gender Dimensions of Your ResearchUnpacking the “Gender Box”: Identifying the Gender Dimensions of Your Research
Unpacking the “Gender Box”: Identifying the Gender Dimensions of Your Research
 
D03403016018
D03403016018D03403016018
D03403016018
 
The contribution of women to household food security in the kassena nankana ...
The contribution of women to household food security in the kassena  nankana ...The contribution of women to household food security in the kassena  nankana ...
The contribution of women to household food security in the kassena nankana ...
 
122014843595
122014843595122014843595
122014843595
 
Modernizing extension and advisory services
Modernizing extension and advisory servicesModernizing extension and advisory services
Modernizing extension and advisory services
 
Socio-Economic Status Of Working Women In Nalgonda
Socio-Economic Status Of Working Women In NalgondaSocio-Economic Status Of Working Women In Nalgonda
Socio-Economic Status Of Working Women In Nalgonda
 
Women and occupational Health
Women and occupational HealthWomen and occupational Health
Women and occupational Health
 
Demonstrating and Disseminating the Best Practices and Technologies for Water...
Demonstrating and Disseminating the Best Practices and Technologies for Water...Demonstrating and Disseminating the Best Practices and Technologies for Water...
Demonstrating and Disseminating the Best Practices and Technologies for Water...
 
Child labours still a hurdle in country development
Child labours still a hurdle in country developmentChild labours still a hurdle in country development
Child labours still a hurdle in country development
 
Gender, Agriculture, and Environment: From Zombie Facts to Evidence
Gender, Agriculture, and Environment: From Zombie Facts to EvidenceGender, Agriculture, and Environment: From Zombie Facts to Evidence
Gender, Agriculture, and Environment: From Zombie Facts to Evidence
 
Gender, Agriculture, and Environment: From "Zombie Facts" to Evidence
Gender, Agriculture, and Environment: From "Zombie Facts" to EvidenceGender, Agriculture, and Environment: From "Zombie Facts" to Evidence
Gender, Agriculture, and Environment: From "Zombie Facts" to Evidence
 
Gender, Agriculture, and the Environment: From “Zombie Facts” to Evidence
Gender, Agriculture, and the Environment: From “Zombie Facts” to EvidenceGender, Agriculture, and the Environment: From “Zombie Facts” to Evidence
Gender, Agriculture, and the Environment: From “Zombie Facts” to Evidence
 
Gender, Agriculture, and the Environment: From "Zombie Facts to Evidence"
Gender, Agriculture, and the Environment: From "Zombie Facts to Evidence"Gender, Agriculture, and the Environment: From "Zombie Facts to Evidence"
Gender, Agriculture, and the Environment: From "Zombie Facts to Evidence"
 
Child Labour in Sudan: Factors and Repercussions
Child Labour in Sudan: Factors and RepercussionsChild Labour in Sudan: Factors and Repercussions
Child Labour in Sudan: Factors and Repercussions
 
I347274
I347274I347274
I347274
 
2020 GAD Webinar 1_Basic GAD Concepts.pptx
2020 GAD Webinar 1_Basic GAD Concepts.pptx2020 GAD Webinar 1_Basic GAD Concepts.pptx
2020 GAD Webinar 1_Basic GAD Concepts.pptx
 
Rural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyahRural women’s contribution in family budget a case study of district layyah
Rural women’s contribution in family budget a case study of district layyah
 

Plus de iosrjournals (20)

I0114549
I0114549I0114549
I0114549
 
H0124246
H0124246H0124246
H0124246
 
H0114044
H0114044H0114044
H0114044
 
G0145458
G0145458G0145458
G0145458
 
G0135059
G0135059G0135059
G0135059
 
G0123541
G0123541G0123541
G0123541
 
G0113839
G0113839G0113839
G0113839
 
F0144153
F0144153F0144153
F0144153
 
F0134249
F0134249F0134249
F0134249
 
F0122934
F0122934F0122934
F0122934
 
F0112937
F0112937F0112937
F0112937
 
E0143640
E0143640E0143640
E0143640
 
E0133641
E0133641E0133641
E0133641
 
E0112128
E0112128E0112128
E0112128
 
D0142635
D0142635D0142635
D0142635
 
D0133235
D0133235D0133235
D0133235
 
D0121720
D0121720D0121720
D0121720
 
D0111420
D0111420D0111420
D0111420
 
C0141625
C0141625C0141625
C0141625
 
C0132131
C0132131C0132131
C0132131
 

Dernier

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Dernier (20)

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost SavingRepurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Cyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdfCyberprint. Dark Pink Apt Group [EN].pdf
Cyberprint. Dark Pink Apt Group [EN].pdf
 
[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf[BuildWithAI] Introduction to Gemini.pdf
[BuildWithAI] Introduction to Gemini.pdf
 
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 

B0140815

  • 1. IOSR Journal of Humanities and Social Science (IOSRJHSS) ISSN: 2279-0845 Volume 1, Issue 4 (Sep.-Oct. 2012), PP 08-15 www.iosrjournals.org Intra Household Labour Distribution and Role of Women in Family Decision Making Process Md. Shafiqul Islam1 Assistant ProfessorCenter for Sustainable Development, University of Liberal Arts Bangladesh, Dhaka, Bangladesh Abstract: A study on intra-household labor distribution and role of women in family decision making process was conducted over a period of 3 months with respect to sample 1 (S-1) single family with two children (children age around 12 years), sample 2 (S-2) joint family with husband and wife, brother-sister, father mother and children, sample 3 (S-3) joint family, husband-wife, brother-sister, father-mother and children (with primary education in any one).Total 30 families (10 from each sample) were assessed in terms of labor distribution in productive, reproductive, community & other works, role of women in family decision making process and work load after joining in to SHABGE-DFID project. Male members from all samples were spent more time in productive works and they have negligible role in reproductive works. The female members were spent more time in reproductive works. They were also spent remarkable time in productive works and little bit in community works. The female members from sample 1 were spent more time for various works in a day than other samples. The female members in sample 3 were spent less time than other samples and it is due to their consciousness (for their primary education). Among all the samples workload increased after joining in SHABGE-DFID project. They were managed this work load by taking help from husband and children (incase of sample 2&3). After joining in the SHABGE-DFID project 50% female from sample (1&2) were took part in family decision making process i.e. they were involved in family decision making process actively. After completion of the project the family members would be aware about their individual role and women could be take part in family decision making process more actively. Key words: Intra; Household; Women empowerment; Family decision; Productive and reproductive works; Farmer Field School I. Introduction Bangladesh lies in the north eastern part of South Asia between 20 o34' and 26o38' north latitude and 88 1' and 92o41' east longitude. Bangladesh is a densely populated country in the south Asia. Women in 0 Bangladesh constitute 48% of the total population of which 86% are illiterate. The life of a woman in Bangladesh is therefore dominated by the social system. Such a system upholds a rigid division of labor that controls women's mobility, roles and responsibility, and sexuality. Traditionally, a woman in Bangladesh derives her status from her family. Her role includes the maintenance of her family as a social institution and as an economic entity. Most importantly, through child bearing and child rearing, she ensures the existence of succeeding generations. Increasingly, however, women's roles, responsibility, and mobility are changing due to unrelenting poverty and the gradual attrition of the familial umbrella of support. Women in rural Bangladesh are major but largely unrecognized contributors to agricultural and economic productivity. Half of these human resources consist of women and the majority of them (92.05%) live in rural areas (Islam 1977). There is a close connection between access to resources and control over their use, and the power to make decisions; but they are distinguishable issues. Within the household, decisions are taken on the sale of products, land, or animals, the production process itself (what to produce, when, where, why, how), development of the infrastructure, whether to save or invest, and whether some members of the household should work on the farm or take other jobs outside the household. Productive activities can help to strengthen the position of women in the decision-making process within the household. Gender is an important dimension for the analysis and eradication of poverty (Kabeer 1994). Pragmatic indication across countries suggests that the number of households below the poverty line is significantly higher for female- than for male headed households. Over 95 percent of female-headed households in Bangladesh are considered to fall below the poverty line (UNDP 1996). In Bangladesh, official estimates suggest that less than a tenth of households are headed by women (BBS 1996), but the actual proportion could be around 20-30 percent (Afsar 1997; MOWCA 1997). Bangladesh's NGOs provide microcredit to some 8 million people, mostly women (World Bank 1998) and their number has increased substantially over the years. www.iosrjournals.org 8 | Page
  • 2. Intra Household Labour Distribution and Role of Women In Family Decision Making Process Women have profound knowledge of the plants, animals, and ecological processes around them. Women perform various activities, e.g., collecting, processing, storing, utilization, management, and marketing. Women's roles and responsibilities are pivotal not only to the management of natural resources but also to the management of the domestic economy. However, women's roles are mostly undocumented and unaccounted in the official statistics. A good number of rural women are also involved in rural construction work. Women workers are found in certain activities traditionally falling within the male domain (e.g., earthwork, construction, and agricultural work in the field). This is particularly the case for landless women who largely belong to the hardcore poor group. It indicates growing economic pressure and erosion of familial support and traditional beliefs and norms regarding women's outside work. Strengthening Household Access to Bari Gardening and Extension (SHABGE) DFID project also worked with poor homestead farmers in the South-East and North-West regions of the country. The project aimed to work with a total populations of 3,10,000 poor families of which 75% were women and rest of the participants were men. The main purpose of the project was to improve household food security status of the targeted populations by means of increasing their capacity to manage homestead gardens. Actually, women in many societies have limited mobility, limited access in land use and land tenure reflects status, inheritance patterns, family and community structure and national policy. Being responsible for various tasks both within and outside the home, they are forced to work a “double day”. Several study also enumerate that rural woman works very long hours tend to 16 hours a day. They do tasks which includes a high degree of physical toil. But they may not have decision making role or rights over land use. It also refers to access to and control over one’s own labour and the benefits of production, which include cash income, food, and other products for home consumption, sales, or exchange. Gendered access to and control over specifically homestead and natural resources often means that women have rights of renewable use (such as harvesting leaves from trees), while men have rights of consumption (harvesting the tree itself, for example). For female heads of household, their access to resources is often limited to those of poorer quality, and the consequence is lower agricultural production levels compared with male heads of household. The study was carried out to assess the labor distribution system within a household as well as to know the role of women in the family decision making process. The other objectives of the study were to assessed the relative measures of the time spent by individual household; assessed how much workload of women increase after joining in SHABGE-DFID Project and how she managed this increased workload; assessed how an woman played her role in family decision in the previous context and compare the same with an woman who was joined in the project II. Methodology The study was concentrated in two Upazila under Dinajpur district and the study design was developed in an open-ended iterative process over a period of 3 months. The total 30 Farmer Field Scholl (FFS) members were selected from 210 FFS. The interview was made or designed based on single family, family consists of wife, husband and two/three children (grand father and mother, elderly person), children age around 5-12 years, interested family, primary educated family (any one sample), Agro based family (vegetable, poultry and livestock) land holding 50 decimal (homestead field) and FFS household. After preliminary & socioeconomic survey the parameters of potential value for the study were reviewed. Based on the family types of FFS members were categorized in to three groups as follows: i. Sample (S-1): Single family with two children (children age around 12 years) ii. Sample (S-2): Joint family, husband-wife, brother-sister, father-mother and children. iii. Sample (S-3): Joint family, husband-wife, brother-sister, father-mother and children (primary education A partly random, partly purposive sample of 30 FFS farmers household were selected from three types of samples (10 from each sample) for interview based on a standard questionnaire. The instrument used for data collection was semi-structured questionnaire, covering labor distribution in productive, reproductive work, social/community works. III. Results 1. DEMOGRAPHY AND POPULATION CHARACTERISTICS Demography and population characteristics of the study area includes occupation, age, sex, labor distribution in productive, reproductive, social and other works. The average age of the female respondents were mostly between 13-50 years (Table I). About 50% of the total populations were male and remaining female. Among household members 23% less than 13 years old, 61% were (13-50) years old and only 12 % were older than 50 years. www.iosrjournals.org 9 | Page
  • 3. Intra Household Labour Distribution and Role of Women In Family Decision Making Process Table I: Average age distribution of FFS family members Sample Sex Age group (5-12) years (13-50) years (50+) years S1 Male n=20 10(50) 10(50) N=37 Female n=17 7(41) 10(59) S2 Male n=23 5(22) 15(65) 3(13) N=50 Female n=27 5(19) 14(52) 8(29) S3 Male n=26 6(23) 18(69) 2(8) N=39 Female n=13 1(8) 10(78) 2(7) All Male n=69 21(47) 43(62) 5(7) N=126 Female n=57 13(23) 34(60) 10(10) N=total population Figure in parenthesis indicate percentage value Table II: Main occupation of the FFS members Sample Occupation Agriculture Labor sale Housewife Business Study & others S1 8(22) 7(19) 7(19) 2(5) 13(35) N=37 S2 14(28) 11(22) 16(32) 9(18) N=50 S3 7(18) 8(21) 10(26) 5(13) 9(23) N=39 All 29(23) 26(21) 33(26) 7(6) 31(24) N=126 N=total population Figure in parenthesis indicates percentage value The main occupations of the FFS members were housewife, agriculture, labor sale and then business. Among the entire sample only 24% members were studied at different level. Other than study, most of the members were involved in agriculture then labor sale, housewife and business in sample 1 (Table II). Thirty two percent respondents in the sample 2 and 26% in sample 3 were housewife though selling of labor is the important sources of income. IV. Labour Distribution In Productive Works Actually productive works directly involve with production and it is well recognized that male are involved directly in productive works, where as female are involved directly in reproductive works. Productive works are those directly related with production including livestock & poultry rearing, vegetables & crops cultivation, marketing and labour sales. In this section results were discussed about the time spent by the female members for various productive works from different sample. 2.1 Pasture management: Comparing with all of the members among the samples, the male members of (5-12) years in sample-2 were spent maximum time (1.04 hours) for pasture. In sample-1 the members of age (5-12) years, the male members were spent more time than female and similar for sample-3. In case of sample-2, the female members of age (13-50) were spent more time than male. 2.2 Livestock & poultry rearing: Livestock rearing is the part and parcel in the life for the rural poor people. The female members belong to (13-50) years old in sample 1 were spent more time than other male and female members among all of the members in the samples (Fig1). Poultry rearing in the areas are only for the women. The female members of different age among the samples were involved in poultry rearing more than male. Among the sample families, the female members in sample 3 were spent more time than other member’s (Fig 2). www.iosrjournals.org 10 | Page
  • 4. Intra Household Labour Distribution and Role of Women In Family Decision Making Process Live Stock 1.2 1 0.8 0.6 Live Stock 0.4 0.2 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years 50)Years 12)Years 50)Years 12)Years 50)Years S1 S2 S3 Figure 1 Average time spend for livestock rearing Poultry rearing 0.12 0.1 0.08 0.06 Poultry rearing 0.04 0.02 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years 50)Years 12)Years 50)Years 12)Years 50)Years S1 S2 S3 Figure 2 Average time spend for poultry rearing 2.3 Vegetables & crop production: The male members between (13-50) years old in sample1 were spent more time (0.89 hours) than other members (both male & female) among all of the members in the samples (Fig 3). Similarly the female members of age (13-50) years in sample 1 were spent more time than other female members. Crop/Veg cultivation 1 0.9 0.8 0.7 0.6 0.5 Crop/Veg cultivation 0.4 0.3 0.2 0.1 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years 50)Years 12)Years 50)Years 12)Years 50)Years S1 S2 S3 Figure 3 Average time spend for crops and vegetable cultivation 2.4 Marketing of the produces: Mainly market and marketing were handled by the male members among the samples; the female members in sample 2 were spent (0.10 hour) for marketing only. The maximum time (1.79 hours) were spent for marketing by the male members of age (13-50 yrs) in sample 1. 2.5 Labour sale: Labour sale is the backbone for rural poor people. The male members of age (13-50) years from sample 2 were spent maximum time (5.70 hours) for labour sale in a day then sample 3 and sample 1. The female members of age (13-50) years from both sample (1&2) were spent more time for labour sale (Fig 4). www.iosrjournals.org 11 | Page
  • 5. Intra Household Labour Distribution and Role of Women In Family Decision Making Process Labor Sales 6 5 4 3 Labor Sales 2 1 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years 50)Years 12)Years 50)Years 12)Years 50)Years S1 S2 S3 Figure 4 Average time spend for labour sale V. Labour Distribution In Reproductive Works 3.1 Fire wood/fuel collection: The maximum time (1.48 hours) were spent for fire wood collection by the female members of age (13-50) years in sample-3, then sample-1 and sample-2. The male members of age (13- 50) were spent little time for fire wood collection among the samples. In case of sample-1, the male members of age (5-12) years were spent more time than female members (Fig 5). Fire wood collection 1.6 1.4 1.2 1 0.8 Fire wood collection 0.6 0.4 0.2 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years50)Years 12)Years50)Years 12)Years50)Years Task S1 S2 S3 Figure 5 Average time spend for fire wood collection 3.2 Home maintenance: In sample-2, the female members of age (13-50) years were spent more time (1.45 hours) than other members and as well as among the samples. The male members among the sample were played minimum role in reproductive works (Fig-2b). Only the female members of age (5-12) years were assisted their mother for home maintenance. 3.3 Food preparation/cooking food: The female members of age (13-50) years were spent more time than male members. The female members of age (5-12) years were also assisted their mothers in cooking food (Fig 6). The male members among the samples were played negligible role in cooking food. But in case of members (both male and female age of 5-12 years) were spent few time for help in cooking food. Cook food 4 3.5 3 2.5 2 Cook food 1.5 1 0.5 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years 50)Years 12)Years 50)Years 12)Years 50)Years S1 S2 S3 ` Figure 6 Time spend for cooking food 3.4 Child rearing: Children rearing is the another vital issues in our society. Mostly female takes part in child rearing rather than male. Fig 7 showed that the female members of age (13-50) years were spent more time than www.iosrjournals.org 12 | Page
  • 6. Intra Household Labour Distribution and Role of Women In Family Decision Making Process female members as well as among the samples. Among the samples, the male members also spent their time for children rearing occasionally. Children rearing 1.6 1.4 1.2 1 0.8 Children rearing 0.6 0.4 0.2 0 M F M F M F M F M F M F M F M F M F (5- (13- 50+ (5- (13- 50+ (5- (13- 50+ 12)Years 50)Years 12)Years 50)Years 12)Years 50)Years S1 S2 S3 Figure 7 Average time spend for rearing the child VI. Labour Distribution In Community Works 4.1 Youth activities: Mostly this activity was performed by the male members solely in the family as well as among the samples. The female member never spent time for such type of activities. The female members (13- 50) years old in sample 1, were spent little time (0.12 hours) in organizing youth activities. 4.2 Organizing meeting: The male members (13-50) years old in sample 2, were spent more time (1 hour) in organizing meeting than other members among the samples. Comparatively female members among the sample were spent same time for organizing meeting. 4.3 Participation in sports activities: The male members within the age (5-12) years in sample 3 were spent more time (1.64 hours) for playing than female members. Only the male members age between 13 to 50 years in sample 2 were spent time (0.40 hour) for play. The members (both male & female) in all age were involved in different productive and reproductive works. VII. Role Of Women In Family Decision Making Process Women are disadvantaged in many ways, they are almost always relatively poor, and they are weak in land rights, weak in political voice and poor access to benefit such as extension activities and credit. They work rarely on land which they own, they may not have decision making rights over land use. They work mostly as unpaid maid servants. A third of the world’s households are headed by women, but these households tend to be among the world’s poorest households. Table III: Role of women in family decision making process sample Before joining into SHABGE-DFID After joining into SHABGE-DFID Project Project Male Female Jointly Male Female Jointly S1 N=10 7(70) 1(10) 2(20) 4(40) 1(10) 5(50) S2 N=10 7(70) 3(30) 6(60) 4(40) S3 N=10 6(60) 4(40) 5(50) 5(50) All N=30 20(67) 1(3.33) 9(30) 15(50) 1(3) 14(47) N=total population Figure in parenthesis indicates percentage value Before joining into the SHABGE-DFID Project, 70% male from sample 1&2 and 60% from sample 3 were took part in decision making process alone. On an average 67% male, 3% women and 30% jointly take part in family decision making process (Table III). Corresponding figure on an average 50% male, 3% women and 47% jointly take part in family decision making process after joining into the SHABGE-DFID Project due to creation of awareness and exposure of women in the society. In the sample-1, they take decision by discussing the subject matter among the family members. www.iosrjournals.org 13 | Page
  • 7. Intra Household Labour Distribution and Role of Women In Family Decision Making Process Table IV: workload for women Sample Workload increased Means of increased workload management Yes no Own Help by Husband Other children members S1 N=10 10(100) 10(100) 4(40) 10(100) S2 N=10 10(100) 10(100) 2(20) 10(100) 6(60) S3 N=10 10(100) 10(100) 3(30) 10(100) 5(50) All N=30 30(100) 30(100) 9(30) 30(100) 11(37) N=total population Figure in parenthesis indicates percentage value. 100% respondents opined that workload increased due to joining into SHABGE-DFID project. They were managed it by taking help from other members. In sample 1, 40% children and husband were helped in managing extra work load. On an average 37% among sample took help from their children and other members and 30% took help from husband only (Table IV). Several types of work increased likely attending in the session, study plot management etc. Several activities were hampered due to joining into SHABGE-DFID project; such activities include coking food, child care, labor sale, home management, poultry rearing & livestock rearing. They were managed these workload by taking help from children & husband (in case of sample-1). In addition they are managing it by taking help from other members (Sample 2& 3). VIII. Discussion Owing of economic resources is likely to restrict women’s economic choices more than men’s. Lesser purchasing power renders to lesser decision making power. In developing countries, the laws of inheritance and ownership generally disfavor women more than in developed countries, which may be a significant factor affecting the financial resources women have at their disposal. At the political level women also have less voice. Another important decision making power with economic implications concerns the power to decide on one’s own body, sexuality and the number of children. Particularly in the study areas, the customs and norms tend to restrict the choices women are able to make in this respect. Nieves (1981) has pointed out, this is often not very helpful to the women themselves, who have no choice about whether to work or not. For women in low-income families the issue is, precisely, how to balance work with their child-care responsibilities. Women care for poultry and livestock. Yet women's contribution to agricultural and household production receives less recognition than their domestic and child-rearing chores which are economic tasks in our view (Kabir et al 1977). The participation of men, women and children in a family is so interdependent that they support each other in everyday life in a large number of social, productive and economic activities (Hussain et al 1988). The SHABGE-DFID Project were tried to focus on empowering women by recruiting more female participants. Result showed that no female members were involved in marketing.. The female members’ age between (13-50) years in the sample 1 were spent more time for various works than other samples. In sample 3, the female members were spent less time (7.05 hours) for various works. Men and women play different role in the society, but their relations do not make a sense of a gender division. In the single family male and female members both were engaged in productive works. On average male members were spent one and half hours more than female members in the productive works. In case of sample 1 & 2, female members were spent little time than male in productive works. In case of reproductive works, the female members in sample 2 were spent more times (6.85 hours) than other members of the samples. There was no vital role of the male members in reproductive works among the samples. Since women are usually subordinated or suppressed by men, the women needs should not be in isolation, but in the context of the gender relations. In the terms of the “Gender and Development” literature (Moser 1993) empowerment is the equivalent of meeting women strategic gender needs. Development process are gendered and this should be taken into account in the planning and execution all of development interventions. Gender analysis and gender planning have been developed as powerful tools for this purpose. Moser (1993) distinguishes women’s strategic and practical needs. Women were weak in family decision making process before joining in SHABGE-DFID Project. After joining in SHABGE-DFID project, 50% female from sample-1 & 2 were took part in family decision making process actively. This indicates that they are playing active role in combined family decision making process. Dwyer (1993) has pointed out that women's allocational priorities are often geared toward survival strategies, while men's priorities may focus on mobility www.iosrjournals.org 14 | Page
  • 8. Intra Household Labour Distribution and Role of Women In Family Decision Making Process The workload of female also increased due to joining into SHABGE-DFID project. They were managing it by taking extra load and with the support from other family members including children and husband (In case of sample 1) and with the help from other family members including father and mother (sample 1 &2). IX. Conclusion And Recommendation Considering rural income-generating activities including postharvest activities, cow fattening and milking, goat farming, backyard poultry rearing, pisciculture, agriculture, horticulture, food processing, cane and bamboo works, silk reeling, handloom, garment making, fish net making, coir production, and handicrafts women are playing great role in fostering the works. Rural women play a major role in managing both household and natural resources including soil, water, forests, and energy. Their tasks in agriculture, forestry, and animal husbandry as well as in the household make them daily managers of the living environment. It is widespread that the women have worked long hours in a day especially for reproductive works and social works. The gender aspect in a way has seen both a strong point in the SHABGE-DFID project. It has been strong in the sense that the project has addressed women’s and their family needs in a relevant way. In a view of the fact that the project is about homestead gardening, this is traditionally women’s domain. It is palpable that gender is mentioned in the project’s objectives and log frame. In a sense the project has actually reinforced the prevalent gender division of labor. It is recommended to carry out same type of study or in-depth study after completion of the project to assess the role of women in family decision making process and control over household resources. Reference [1.] Afsar, Rita. 1997. Onus of Poverty on Women in the Poorer Settlements of Dhaka City, Women [2.] and Poverty. Women for Women Research and Study Group, Dhaka. [3.] Bangladesh Bureau of Statistics (BBS). 1996. The Household Expenditure Survey, 1991-92. Dhaka. [4.] Dwyer DH (1993). Women and income in the third world: implications for policy. Population Council International Programs Working Paper no. 18. New York: Population Council.. [5.] Hussain M S, Abedin M Z, Quddus M A, Hossain S M M, Banu T Ara and Ahmed D 1988 Women's contribution to homestead agricultural production systems in Bangladesh, Published in Bangladesh Academy for Rural Development, pp307 [6.] Islam S 1977 Women, Education and Development in Bangladesh; A few reflections, Role of women in Socio-economic development in Bangladesh-Proceedings of a Seminar, Bangladesh Economic Association Dhaka, March, 1977, pp121-131 [7.] Kabeer, Naila. 1994. Reversed Realities and Gender Hierarchies, in Development Thought. [8.] London: Verso. [9.] Kabir K, Abed A and Chen M 1977 Rural women in Bangladesh: Exploding some myths. Role of Women in Socio-economic development in Bangladesh. Proceedings of a Seminar, Bangladesh Economic Association Dhaka, March, 1977, pp72-79 [10.] Ministry of Women and Children Affairs 1997. National Action Plan for Implementation of Beijing Platform for Action. [11.] Moser,C. 1993. Gender Planning and Development. Theory, Practice and Training, London, Routledge [12.] Nieves I 1981 A balancing act: strategies to cope with work and motherhood in developing countries. Paper prepared for roundtable conference on The interface between poor women's nurturing and productive roles, International Center for Research on Women, Washington, DC, 1981. [13.] United Nations Development Programme. 1996. Report on Human Development in Bangladesh. [14.] World Bank. 1998. Partnership in Development: The World Bank Assistance to Bangladesh. [15.] Dhaka Office: World Bank. www.iosrjournals.org 15 | Page