Gender participation in crop production and animal husbandry and
related activities in the rural area of Sikkim in north- eastern India
Mrs. Nidhi
Dwivedy
Sikkim Manipal Institute of
Technology (SMIT), Management Department Majitar,
Sikkim, India.
*Corresponding Author E-mail: nidhidwivedy@yahoo.com
ABSTRACT:
The present work has studied the
gender participation in crop production and animal husbandry and related
activities in the rural area of Sikkim in North- Eastern India. The effect of different socio- economic factors such as age,
education and land holding on the participation of women in different
activities of sample farmers at selected sites of Sikkim State has also been
analyzed. Percentages have been used to come to a logical conclusion for that.
230 female farmers have been surveyed through schedule and questionnaire. Descriptive as well as inferential statistics
with the help of SPSS has been used to interpret the data. The percentage
data for participation in the activities-vaccination/visits to animal
hospitals; breeding of animals and ploughing has
shown male dominance at all level of education. In the State, the majorities of
sample female farmers have been noticedin the age
group 20-39 years (55%), primary level of education (39%) and belong to the
category of small farmers (64%). (90%) of the respondents have been observed as
the cultivators while (52%) male ownership of land hasbeenremarked.
Data has signposteda strong impact of educationlevel on laborious farm and animal related
activities. Comparatively more percentage of Illiterate farm women has been
found participating in these types of activities. The percentage data for large
farmwomen has discovered joint participation in all the activities except for
the above mentioned male dominated activities. Data for age and participation
has revealed that 25-45% of sample female farmers for all the category of ages
independently participatein sowing, weeding,
harvesting, milking and milk disposal. Results pertaining to these findings
have been discussed in this paper.
KEYWORDS: Gender participation, farmwomen, Crop Production, animal
husbandry, socio- economic factors, Sikkim
Women play a distinctive role in
shaping the rural economic activities and earning a livelihood. India is a
agriculture dominated country and most of manual operations like sowing,
weeding, transplanting, harvesting, threshing and winnowing and even marketing
of agricultural produce are being done
by women. Their contribution to the rural economy is enormous. But the role of
women in economic and social development
has not received due recognition so far in our society. But, efforts are
being made by the Government to give due recognition to their participation by making
various laws time to time in favour of women.
Contrary to the common
perception about women in India, a large percentage of them work (Women of
India, 2006). The National data collection agencies accept the fact that there
is a serious under-estimation of women's contribution as workers. However,
there are far fewer women in the paid workforce than there are men (Kalyaniand Kumar2001). In urban India Women have impressive
number in the workforce and they are at par with their male counter parts in
terms of wages, position at the work place (Singh and Hoge
2010). In rural India, agriculture and allied industrial sectors employ as much
as 89.5% of the total female labour (Asia's
women,2006). In overall farm production, women's average contribution is
estimated at 55% to 66% of the total labour.
According to a 1991 World Bank report, women accounted for 94% of total
employment in dairy production in India. Women constitute 51% of the total
employed in forest-based small-scale enterprises (Asia's women, 2006).
Actuality, the social, economic
and cultural conditions of the area determine women’s participation in home and
farm activities. The nature and extent of women’s involvement in agriculture,
no doubt, varies greatly from region to region and within a region, their
involvement varies among different farming systems, castes, classes and socio-
economic status. But regardless of these variations, there is hardly any
activity in agricultural production, except ploughing
in which women are not actively involved (Swaminathan,
1985). In some of the farm activities like processing and storage, women
predominate so strongly that men workers are numerically insignificant.
However, the Indian Himalayan
region (IHR) displays a different picture in land use pattern and its
dependency on agricultural land. The Himalayan people have traditionally
practiced integrated agriculture, balancing cultivation, agro-forestry, animal
husbandry and forestry. Mountain geography and inaccessibility have helped
maintain agro-biodiversity; yet commercial agriculture is not as high-yielding
and profitable as in the plains. Here forest is the major land use pattern,
which covers over 52% of total reporting area followed by wastelands and
agricultural land. However, the dependency on its limited arable land is
marginally higher in the IHR as cultivators and agricultural labourers together comprise about 59% of total workforce in
the region (Nandy and Samal,
2005).
Some historians believe that it
was woman who first domesticated crop plants and thereby initiated the art and
science of farming. While men went out hunting in search of food, women started
gathering seeds from the native flora and began cultivating those of interest
from the point of view of food, feed, fodder, fiber and fuel (Prasad and Singh
1992).Women have protected the health of the soil through organic recycling and
promoted crop security through the maintenance of varietal diversity and
genetic resistance. Therefore, without the total intellectual and physical
participation of women, it will not be possible to popularize alternative
systems of land management to shifting cultivation, arrest gene and soil
erosion, and promote the care of the soil and the health of economic plants and
farm animals.
2. FARMING
STRATEGIES ADOPTED BY THE AGRICULTURE DEPARTMENT IN THE STATE
The state has a target of
converting it into a fully organic state by 2015. In this regard, the
Department has started a lot of measures to replace the chemical fertilizers by
using bio fertilizers and organic manures. Effective Microorganism (EM)
technology in production of compost and bokashi and
bio-pesticide is being propagated among the farmers in technical collaboration
with MAPLE ORTECH, Dehradun to give boost to organic
farming in Sikkim. Integrated Pest Management (IPM) technology is being
practiced to control the pests. Predators are produced in Sikkim State IPM Lab
and are released in the farmers’ field as and when required. The Government has
set up a livelihood school also on organic farming at Tadong,
Gangtok .This is first of its’ type in the country.
Participants will be given 3 months training on organic farming processes.
Trained youths will go to villages and assist farmers at village level. Popularization of HYV seeds, production of
quality seeds, mixed cropping, pest management through Farmers Field Schools
(FFS), recycling of farm waste for compost production, soil reclamation by
liming, seed treatment campaign and integrated farming through watershed
approach are some of the strategies adopted by the Department in the state.
Mechanization has varied
connotations. While in the developed world it tends to be synonymous to
automation but in developing countries, like India especially in hilly areas,
mechanization means any improved tool, implement, machinery or structure that
assists in enhancement of workers’ output, multiplies the human effort,
supplements or substitutes human labour, avoids
drudgery or stresses that adversely affect human mental activities leading to
errors, imprecision and hazards and eventually loss of efficiency. It also
means automation and controls that assure quality, hygiene. Agricultural
mechanization in a limited sense relates to production agriculture.
Farming with machinery in Sikkim
is almost nonexistent. However Power operated Thresher, Hand Winnower, Hand
Maize Sheller, Iron Plough and other gender friendly machineries have been
introduced on experimental basis. Sprinkler and drip irrigation has been taken
up on demonstration basis. Agriculture in the state is mainly rain fed. Farm
mechanization here in Sikkim is meant for increasing the production and
productivity, comfort and safety, return and profitability to farmer.
3. DEMOGRAPHIC FEATURES:
According to (Census 2011),
Sikkim has a total population of 607 688 persons (which is 0.05 percent of
total population of India) of which 321661are males and 286 027 are females.
From the year 1991-01 to 2001-11, decadal population variation recorded was
33.07 to 12.36 percentages, while India’s figure for the same is 17.64. In 2011
rural population consists of 480,981 people while urban population consists of
59,870 people. Sex ratio (females per 1000 males) also known as Gender Ratio,
in the same decade has shown a little improvement i.e. from 875 to 889 but
still lags behind India’s, which is 940. Though population density per sq. km.
has increased in the same decade from 76 to 86 but is much less than national
population density per sq. km. which is equal to 382. Literacy rate in 2001 was
68.81 which rose to 82.20 in 2011 which is above national average of 74.04
percent. This decade has seen an increase in male literacy rate from 76.04 to
87.30 as against all India’s rate which
is 82.14 and female literacy rate also shows increased figures i.e. from 60.41
to 76.43 as against all India’s rate of 65.46.
3.1 Workers Profile
According
to (Census 2001), there are 37,936 cultivators (About 26,000 of them are
small/medium farmers) out of which 19,725 are males and 18,211 are females in East
district. Of them 37,889 live in rural and only 47 live in urban area. In
rural area 19,701 are males and 18,188 are females. Total no. of agricultural labourers 8,143 out of which 4,076 are males and 4,067 are
females. Of them 8,110 live in rural and only 33 live in urban area. In rural
area 4,056 are males and 4,054 are females.
There
are 35,764 cultivators (About 16,000 of them are small/medium farmers) out of
which 20,634 are males and 15,130 are females in West district. Of them
35,762 live in rural and only 02 live in urban area. In rural area 20,632 are
males and 15,130 are females. Total no. of agricultural labourers
in the district are 4,112 out of which 2,389 are males and 1,723 are females.
Of them 4,110 live in rural and only 02 live in urban area. In rural area 2,389
are males and 1,721 are females.
There
are 9,180 cultivators (About 6,000 of them are small/medium farmers) out of
which 4,831are males and 4,349 are females in North district. Of them
9,173 live in rural and only 07 live in urban area. In rural area 4,824 are males
and 4,349 are females. Total no. of agricultural labourers
in the district are 2,051out of which 1,045 are males and 1,006 are females. Of
them 2,038 live in rural and only 13 live in urban area. In rural area 1,033
are males and 1,005 are females.
There
are 48,378 cultivators (About 20,000 of them are small/medium farmers) out of
which 24,917are males and 23,461 are females in South district. Of them
48,377 live in rural and only 01 live in urban area. In rural area 24,917 are
males and 23,460 are females. Total no. of agricultural labourers
in the district are 2,694 out of which 1,252 are males and 1,442 are females.
All of them live in rural and no one live in urban area. In rural area 1,252
are males and 1,442 are females.
The
above data, showed that in all the districts more than half of the cultivators
are small/medium farmers.It was also observed that
almost all of them live in rural areas and equal number offemales
participants were sighted as of men.
4. RESEARCH METHODOLOGY:
4.1 Universe or population
The universe or population for
the study consists of total number of married females in rural areas who are
employed in farming in the state of Sikkim. This forms the pivotal point of the
present research.
4.2 Sampling method for selected area of study
Multi-stage stratified random
sampling technique of probability method is used to distribute the population
into circles, revenue blocks and villages, then a combination of Judgment and
Convenience sampling techniques of non-probability methods is decided upon for
this study. Non-probability methods are of three types, namely Judgment
sampling, Convenience sampling and Quota sampling. The state has only four
districts; so, all of them have been taken for the study. Initially, under the
multistage stratified random sampling technique- a selection of a tentative
list of circles and revenue blocks from all the four districts was made
followed by a selection of villages to be visited at the second and a selection
of respondents at the final stage. A final list of the respondents from
different farm households was prepared based on convenience and their
accessibility to the researcher by stratified random sampling.
4.3 Sample size
Rural areas from all 4 districts
of Sikkim were selected. As is clear from the table 1 below, though North
district contains maximum area of the State i.e. almost 60%, but it holds only
7-8% of the population. On the contrary East district contains only 13% area of
the State, but it holds maximum i.e. 45% of the population. So, for this study,
maximum no. of females for data collection is from East and minimum are from
North. Here, the size of the sampling female farmers from each district is
neither proportional to the minimum size of the sampling female farmers of the
district nor in the same ratio as is the percentage ratio of each district to
the total population of the state. But the sample size of each district is just
an indicative of the reason of taking maximum/minimum sampling units from that
area.
A data collected from a total of
24 circles from all the four districts in Sikkim has been analyzed. The
district wise i.e. (East, West, North and South) distribution of circles
selected is 6, 6, 4 and 8 respectively. A total of 80 females of farming
community from East, 30 from North and 60 each from West and South districts
have been interviewed. Data for 115 samples (50% of 230), was collected by the
researcher herself, while for rest of 115 samples (40, 30, 15 and 30 from East,
West, North and South respectively), was collected with the active help and
participation of all the village heads. Data thus collected from 230 married
females in rural areas in the state of Sikkim, employed in farming sector has
become the basis of the Primary Data analysis in this Study
Table 1:- Selection of Sample
Size
District/ State |
Total area(sq.km) |
%of total area |
Population Concentration |
% 0f total Population |
Total no. of circle |
Total no. of circles sampled |
No.of female sample farmers |
East |
954 |
13.5 |
2,45,040 |
45.3 |
21 |
06 |
80 |
West |
1166 |
16.5 |
1,23,256 |
22.8 |
21 |
06 |
60 |
North |
4226 |
59.5 |
41,030 |
7.6 |
07 |
04 |
30 |
South |
750 |
10.5 |
1,31,525 |
24.3 |
23 |
08 |
60 |
Sikkim |
7096 |
100 |
5,40,851 |
100 |
72 |
24 |
230 |
Source- figures extracted from census 2001.
4.4 Data collection and analysis
In order
to collect qualitative data, three group discussion sessions were arranged
separately in three villages (Syari, Sichey and Rawtey rumtek); each group contained 10 participants. During these
group sessions, several open-ended questions were asked from the respondents in
order to collect deeper information about their accessibility to resources and
their participation in different farms and the related activities along with
many hidden facts and factors. Based on this information, the research
instrument i.e. questionnaire containing dichotomous, multiple choice and open
end questions was designed and a pre-test was conducted with 18 respondents for
its necessary modification. It was then translated into Nepali also for the
convenience of the farm population.
Primary data was collected by researcher by visiting the farming females
of rural area in Sikkim, using questionnaires. The primary data was collected
between March to September 2011 from all districts of Sikkim.
Books,
journals, reports and internet documents were used as secondary sources of data
supporting or supplementing the empirical findings of the study.
4.5 Data analysis
Data
has been analyzed using the Statistical Package for the Social Science (SPSS)
and some descriptive statistics, such as percentage, mean,
standard deviation (SD) were used to interpret the data.
There
is only one sample in the study. Ordinal and nominal level data can be analyzed
using parametric statistics; therefore One-Sample t-test for inferential
interpretation of the data has been run to understand the nature of relation
between the variables. For the inferences of the hypotheses, Information from
literature survey is taken to support some assumptions.
The impact of factors such as
age, education and land holding on relative participation in different farm,
animal and related activities particularly by women has also been documented.
The age of respondents has been studied at three levels – 20-39 yrs, 40- 59 yrs
and > 60yrs while the education level has been distributed as illiterate,
primary level, middle, matric and
secondary level . On the basis of their land holdings, farmers have been
classified as large (>10 ha), marginal (2-10 ha), small farmers (<2ha)
and landless. The collected data was tabulated and percentages were used to
come to a logical conclusion.
Hypothesis Statement–
Participation in farm, animal
and related activities by women is more than that of men.
Ho –Participation in farm, animal
and related activities by women is not more than that of men.
Ha - Participation in farm, animal
and related activities by women is more than that of men.
5.
RESULTS AND DISCUSSION:
5.1 Gender participation in farm activities
The different management
practices carried out in crop production and animal husbandry and
related activities identified as (A),
(B), (C), (D),
(E), (F), (G), (H), (I), (J), (K), (L), (M), (N), (O), (P), (Q), (R),
(S) in the Table -2.1 below,
represents - ploughing of fields (A),
sowing of seeds (B), weeding (C),
harvesting (D), threshing
(E), winnowing (F), storage of
grain (G), collection of fuel
from fields / forest / community land (H),
procurement of feed and fodder from the market (I), cleaning of the animals and their shed (J), feeding of animals (K), watering (L), getting
green fodder from fields / forest / community land (M), milking (N),
milk disposal (O), health care to
animals (P), vaccination and visits to animal hospitals (Q), breeding of
animals (R), care of fields and crops (S).
It has been observed in Table 2 that though both the genders
are responsible for most of these activities, but, division of labour in the performance of some activities has been
spotted. The ploughing
of fields (72%) is the mainstay of men. However, 28% farmers preferred to
involve women also, mainly for cleaning of the field. Activities like sowing of
seed (40%), Weeding (30%), harvesting (30%), threshing (equal 19%), getting
green fodder from fields / forest / community land (equal 23%) and Winnowing
(27%) relatively more independent involvement of women has been noticed. Whereas for storage of grain, independent
involvement of men (27%) has been noted. Even so, the data has shown more
percentage of respondents jointly participating (both men and women) in
activities like Sowing of seeds (58%), Weeding (59%), Harvesting (66%),
Threshing (62%), Winnowing (50%), Storage of grains (58%) and Collection of
fuel from fields /forest /community land (60%).
Involvement of women in livestock management practices
varies depending upon the type of
management practices. Data
presented in Table shows more percentage of women contributing independently in
activities like feeding of animals (20%), watering of animals (26%), milking
(27%) and milk disposal (35%). While activities like vaccination and visits to
animal hospitals (78%), breeding of animals (71%), traditional health care of
animals (40%), procurement of feed and fodder from the market (35%) and
cleaning of the animals and their shed (35%) relatively more percentage of men
has been found than women. Nevertheless, the data shows joint participation
(both men and women) for (more than 50%) of the respondents in activities like
Procurement of feed and fodder from the market(52%), Cleaning of the
animals/shed(66%), Feeding of animals(75%), Watering(65%), getting green fodder
from fields / forest / community land(54%), Milking(57%), Milk disposal(55%)
and traditional health care to animals(49%).
Table 2 -
:Frequency of gender wise
participation in Farm and related activities of sample farmers at selected
sites of Sikkim state |
|||||||||||||||||||
Activities → |
Ploughing of Fields |
Sowing of seeds |
Weeding |
Harvesting |
Threshing |
Winnowing |
Storage of
grains |
Collection of
fuel from fields /forest /community land |
Procurement of
feed and fodder from the market |
Cleaning of the
animals/shed |
Feeding of
animals |
Watering |
getting green
fodder from fields / forest / community land |
Milking |
Milk disposal |
Traditional
health care to animals |
Vaccination/visits
to animal hospitals |
Breeding of
animals |
Traditional care
of fields/crops |
Relative participation
↓ |
|||||||||||||||||||
Male |
166 (72) |
05 (02) |
26 (11) |
10 (04) |
43 (19) |
53 (23) |
62 (27) |
59 (26) |
80 (35) |
62 (27) |
13 (05) |
20 (09) |
53 (23) |
37 (16) |
24 (10) |
92 (40) |
164 (71) |
157 (68) |
43 (18) |
Female |
00 (00) |
91 (40) |
68 (30) |
68 (30) |
45 (19) |
61 (27) |
35 (15) |
33 (14) |
31 (13) |
16 (07) |
45 (20) |
61 (26) |
52 (23) |
62 (27) |
80 (35) |
25 (11) |
00 (00) |
01 (01) |
22 (10) |
Both |
64 (28) |
134 (58) |
136 (59) |
152 (66) |
142 (62) |
116 (50) |
138 (60) |
119 (52) |
119 (52) |
152 (66) |
172 (75) |
149 (65) |
125 (54) |
131 (57) |
126 (55) |
113 (49) |
66 (29) |
72 (31) |
165 (72) |
Figures in the parentheses
indicate the % participation
As far as employment intensity
is concerned, maximum percentage of reply for male participation is 6-7
hours/day. However, for females it has been recorded for7-8 hours/day.
Inferential analysis
In Table 2.1, test statistic 2 has been used
for inferential analysis of gender wise participation in farm and related
activities. It represents Participation of both (male and female). More than 2
mean female Participation and less than 2 means male Participation.
In the table 2.1, we find
that value of ‘t’ for Participation by Females Farmers in
sowing of seeds (B), weeding (C),
harvesting (D), feeding of
animals (K), watering (L), milking (N), milk disposal (O) is 10.740, 4.510,
7.270, 4.363, 4.766, 2.542 and 5.878 respectively which is positive, mean
difference column for them also shows positive values. This is further
confirmed by significance levels which are 0.00. Confidence intervals lie entirely above 0.0
and also it is positive. Thus there are valid reasons for null hypothesis for
all these to be rejected and thus alternate hypothesis for these activities is
accepted. Thus, we can safely say that Participation by women in these
activities is more than that of men.
From the table, we also find
that value of ‘t’ for Participation by
Females Farmers in ploughing of fields (A), storage
of grain (G), collection of fuel from fields / forest /
community land (H), procurement of feed
and fodder from the market (I),
cleaning of the animals and their shed (J), health care to animals (P), vaccination and
visits to animal hospitals (Q), breeding of animals (R), care of fields and
crops (S) is -24.371, -2.781, -2.749, -4.876, -5.534, -6.771, -23.854, -21.547,
-2.638 respectively which is negative. This is further confirmed by confidence
intervals, both limits of which lie entirely below 0.0 for all these
activities. Mean difference column for it also shows negative values. Thus
there are valid reasons for null hypothesis to be accepted for these activities,
which says that Participation by Females Farmers is significantly not more than
2 on an average in these farm/animal and related activities. Thus, there are
valid reasons for us to say that Participation by women in these activities is
not more than that of men.
From the table, we find that
confidence intervals do not lie entirely either above or below 0.0. Its value
is positive for one limit and negative for the other limit. These activities
are identified as threshing (E), winnowing (F), getting green fodder from
fields / forest / community land (M).
For these activities, value of ‘t’
is 0.213, 0.749 and -0.097 and significance level is 0.832, 0.455 and
0.923 respectively. But, if we look at the mean difference column, we find that
for threshing (E), winnowing (F), it is positive i.e. 0.009, 0.035 and also the
upper limit of the confidence interval lies entirely above 0. Besides,
magnitude of the upper limit (positive value) is more than the magnitude of
lower limit (negative value). For getting green fodder from fields / forest /
community land (M), though, the mean difference is negative i.e. -.004, and
also the upper limit of the confidence interval lies entirely above 0 and also
in the descriptive analysis, the percentage value shows equal participation by
both men and women in these activities. Consequently, we can safely say that
null hypothesis for these activities is rejected and thus alternate hypothesis
for these activities is accepted. Thus,
we can safely say that Participation by women in these activities is more than
that of men.
These finding of descriptive
analysis also gets confirmed by one-sample t-test of inferential analysis in
Table 2.1, which also revealed the same results as are revealed by descriptive
statistics about gender wise participation in farm, animal and related
activities. Activities for which descriptive statistics has shown as women
dominated activities, t-test of inferential analysis rejects null hypothesis
for those activities, hence showing more women participation for these
activities.
For rest of the activities for
which descriptive statistics has shown as male dominated one, t-test of
inferential analysis accepts null hypothesis for them, hence showing more men
participation for these activities.
Table-2.1-One-Sample
Test |
||||||
|
Test
Value = 2 |
|||||
|
|
95%
Confidence Interval of the Difference |
||||
|
t |
df |
Sig.
(2-tailed) |
Mean
Difference |
Lower |
Upper |
Q.A |
-24.371 |
229 |
.000 |
-.722 |
-.78 |
-.66 |
Q.B |
10.740 |
229 |
.000 |
.374 |
.31 |
.44 |
Q.C |
4.510 |
229 |
.000 |
.183 |
.10 |
.26 |
Q.D |
7.270 |
229 |
.000 |
.252 |
.18 |
.32 |
Q.E |
.213 |
229 |
.832 |
.009 |
-.07 |
.09 |
Q.F |
.749 |
229 |
.455 |
.035 |
-.06 |
.13 |
Q.G |
-2.781 |
229 |
.006 |
-.117 |
-.20 |
-.03 |
Q.H |
-2.749 |
229 |
.006 |
-.113 |
-.19 |
-.03 |
Q.I |
-4.876 |
229 |
.000 |
-.213 |
-.30 |
-.13 |
Q.J |
-5.534 |
229 |
.000 |
-.200 |
-.27 |
-.13 |
Q.K |
4.363 |
229 |
.000 |
.139 |
.08 |
.20 |
Q.L |
4.766 |
229 |
.000 |
.178 |
.10 |
.25 |
Q.M |
-.097 |
229 |
.923 |
-.004 |
-.09 |
.08 |
Q.N |
2.542 |
229 |
.012 |
.109 |
.02 |
.19 |
Q.O |
5.878 |
229 |
.000 |
.243 |
.16 |
.33 |
Q.P |
-6.771 |
229 |
.000 |
-.291 |
-.38 |
-.21 |
Q.Q |
-23.854 |
229 |
.000 |
-.713 |
-.77 |
-.65 |
Q.R |
-21.547 |
229 |
.000 |
-.678 |
-.74 |
-.62 |
Q.S |
-2.638 |
229 |
.009 |
-.091 |
-.16 |
-.02 |
Table3 -: Distribution of farm women according to their
socio-economic characteristic of Sikkim State
*Character |
Age |
Education |
Land holding |
Status of Land holding |
Ownership of Land holding(Gender-wise) |
||||||||||||||||
1 |
2 |
3 |
4 |
1 |
2 |
3 |
4 |
5 |
6 |
1 |
2 |
3 |
4 |
1 |
2 |
3 |
1 |
2 |
3 |
4 |
|
Respondents |
126 |
95 |
09 |
230 |
48 |
89 |
66 |
19 |
08 |
230 |
147 |
65 |
18 |
230 |
207 |
23 |
230 |
120 |
16 |
94 |
230 |
Percent ( % ) |
55 |
41 |
04 |
100 |
21 |
39 |
29 |
08 |
03 |
100 |
64 |
28 |
08 |
100 |
90 |
10 |
100 |
52 |
07 |
41 |
100 |
*Character: Age- 1- 20 – 39, 2- 40 – 59, 3- 60 and above, 4- Total.
Education -1 Illiterate, 2 Primary, 3
Middle, 4 Matric, 5 Secondary, 6 Total.
Land holding- 1
Small farmers, 2 Medium farmers, 3 Large farmers, 4 Total.
Status of Land holding- 1 Land
owned, 2 Land possessed but not owned, 3 Total.
Ownership of Land holding (Gender-wise) - 1 Male, 2 Female, 3 Both, 4 Total.
5.2 Participation according to socio- economic condition of
farmwomen in different farm/animal and related activities
In this study the association
between socioeconomic factors and participation of 230 women has been evaluated
in different farm activities (Table 3).
The composition of sampled farmwomen in different categories of age,
education and land holding has been presented in Table 3. Of the women surveyed 55%, 41% and 04% are of
20-39 yrs, 40- 59 yrs and > 60yrs of age, respectively. While the education
has been distributed as illiterate, primary, middle, matric
and secondary level. The majority of them have studied up to primary level
(39%). (21%) are illiterate. 29% are educated up to middle level and 08% and
03% have studied up to matric and secondary level
respectively. On the basis of land
holding, the percentage of farmwomen in the category of small farmers (<2h
a), medium (2-10 ha) and large (> 10 ha) are 64%, 28% and 08% respectively.
Out of total respondents, 90% of the farmers are land owners i.e. cultivators
and 10% of them are found in possession of the land but not owning it i.e.
agriculture labours. As far as gender wise ownership
of land holding is concerned 52% are the male owners of the land, 07% are
female owners and 41% are holding the joint ownership of the land.
Table 3 also shows that about
more than half of the women (52%) have been deprived of access to land either
singly or jointly, which is an obstacle in availing credit from the financial
institutions. Lack of education and training provides fewer opportunities for
employing new techniques in increasing their productive capacity. Moreover,
they are not well equipped for land related deals etc. and sale of produce of
land except vegetables. One of the reasons which has been reported by female
farmers to land inaccessibility is the scattered and at a distant place.
5.2.1 Age and participation in different activities
Data in Table 3.1 for age and
participation reveals that 25-45% of sample female farmers for all the
categories of age have documented independent participation in sowing, weeding,
harvesting, milking and milk disposal. Surprisingly, maximum percentage of respondents
in the age bracket of 60 and above has been found participating independently
in sowing, winnowing, harvesting, watering, milking, milk disposal and
traditional care of fields/crops. The
reason reported for that was-getting more time in doing these activities since
they do not have their children’s obligation as they have either settled down
in their own lives or have gone to cities to exploit good avenues of earning
money, hence, these activities make them busy.
Besides, as most of them are small land owners, so, economic compulsion
is also the reason behind their participation. Moreover, in the same category
independent male participation is nonexistent for all these activities
including feeding of animals (barring milk disposal). Whereas for rest of the
two categories (20–39 and 40-59), independent male participation in the
activities of sowing, harvesting, feeding, watering and milk disposal has
recorded a very meager percentage. Furthermore, data shows the joint
participation of the respondents (more than 50%) in these activities for all
categories of ages.
5.2.2 Land holding and participation in different activities
On the basis of size of land
holding, the percentage data of sample farmers at selected sites of Sikkim
State in Table 3.1 shows joint
participation of large farm women in all the activities except for ploughing and vaccination/visits to animal hospitals, in
which male dominance has been noticed. Not even a single large farmwomen has
been found participating independently in activities like storage of grains and
fodder, cleaning of the animals/shed and traditional health care to
animals. Most of them are totally
dependent upon landless laborers for such works, who, in return generate some
extra resources by working for large farmers. Equal/almost equal percentage of
small and marginal farm women have been found participating in weeding,
threshing, winnowing, collection of
fodder/fuel, cleaning of the animals/shed, milk disposal, traditional health
care to animals mainly to save money being spent hiring labour.
Table 3.1 - : Percentage participation of sample female farmers in
Farm/Animal and related activities according to their socio-economic condition
at selected sites of Sikkim state
Farm and related activities |
Age group |
Land holding |
||||||||||||||||
20–39 |
40-59 |
60 and above |
Small farmer |
Medium farmer |
Large farmer |
|||||||||||||
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
|
Ploughing of Fields |
75 |
0 |
25 |
70 |
0 |
30 |
44 |
0 |
56 |
75 |
0 |
25 |
66 |
0 |
34 |
66 |
0 |
34 |
Sowing of seeds |
02 |
36 |
62 |
02 |
43 |
55 |
00 |
56 |
44 |
02 |
39 |
59 |
01 |
43 |
56 |
06 |
33 |
61 |
Weeding |
13 |
31 |
56 |
10 |
27 |
63 |
11 |
33 |
56 |
14 |
30 |
56 |
06 |
32 |
62 |
11 |
11 |
78 |
Harvesting |
05 |
32 |
63 |
04 |
26 |
70 |
00 |
44 |
56 |
03 |
33 |
64 |
05 |
26 |
69 |
11 |
17 |
72 |
Threshing |
18 |
18 |
64 |
20 |
22 |
58 |
22 |
11 |
67 |
19 |
21 |
60 |
20 |
19 |
61 |
11 |
11 |
78 |
Winnowing |
20 |
25 |
55 |
29 |
28 |
43 |
0 |
44 |
56 |
26 |
26 |
48 |
17 |
28 |
55 |
28 |
22 |
50 |
Storage of grains and fodder |
26 |
13 |
61 |
29 |
19 |
52 |
11 |
11 |
78 |
29 |
14 |
57 |
25 |
23 |
52 |
17 |
0 |
83 |
Collection of fodder/fuel from fields /
forest / community land |
24 |
12 |
64 |
28 |
18 |
54 |
22 |
11 |
67 |
28 |
14 |
58 |
28 |
15 |
57 |
0 |
11 |
89 |
Procurement of feed and fodder from the
market |
35 |
14 |
51 |
36 |
12 |
52 |
22 |
11 |
67 |
37 |
16 |
48 |
34 |
12 |
54 |
22 |
0 |
78 |
Cleaning of the animals an their shed |
23 |
09 |
68 |
31 |
04 |
65 |
44 |
12 |
44 |
24 |
07 |
69 |
32 |
08 |
60 |
33 |
0 |
67 |
Feeding of animals |
03 |
22 |
75 |
09 |
17 |
74 |
0 |
11 |
89 |
04 |
22 |
74 |
08 |
17 |
75 |
11 |
06 |
83 |
Watering |
06 |
28 |
66 |
13 |
23 |
64 |
0 |
44 |
56 |
06 |
29 |
65 |
14 |
23 |
63 |
06 |
22 |
72 |
getting green fodder from fields / forest
/ community land |
19 |
20 |
61 |
27 |
27 |
46 |
33 |
11 |
56 |
20 |
22 |
58 |
28 |
25 |
48 |
33 |
17 |
50 |
Milking |
15 |
26 |
59 |
19 |
27 |
54 |
0 |
33 |
67 |
14 |
30 |
56 |
25 |
25 |
51 |
06 |
11 |
83 |
Milk disposal |
13 |
37 |
50 |
07 |
33 |
60 |
11 |
33 |
56 |
12 |
37 |
51 |
09 |
34 |
57 |
06 |
22 |
72 |
Traditional health care to animals |
39 |
11 |
50 |
41 |
11 |
48 |
44 |
12 |
44 |
42 |
12 |
46 |
38 |
11 |
51 |
33 |
0 |
67 |
Vaccination and visits to animal
hospitals |
70 |
0 |
30 |
74 |
0 |
26 |
67 |
0 |
33 |
73 |
0 |
27 |
71 |
0 |
29 |
61 |
0 |
39 |
Breeding of animals |
71 |
0 |
29 |
64 |
01 |
35 |
67 |
0 |
33 |
73 |
0 |
27 |
65 |
01 |
34 |
39 |
0 |
61 |
Traditional care of fields and crops |
21 |
09 |
70 |
18 |
07 |
75 |
0 |
33 |
67 |
20 |
12 |
68 |
20 |
08 |
72 |
06 |
0 |
94 |
On the basis of ownership of
land holding (Table 3.2), the percentage data of sample farmers at selected
sites of Sikkim State shows relatively more percentage of landless to land
owned female sample farmers independently participating in activities like
sowing of seeds, weeding, harvesting, collection of fodder/fuel, procurement of
feed and fodder from the market, cleaning of the animals/shed, feeding of
animals, watering. In activities like cleaning of the animals/shed, feeding of
animals, watering, getting green fodder from fields / forest / community land,
care of fields/crops and harvesting, more percentage of landless female sample
farmers (more than 50%) has been observed jointly involving in such activities.
In the category of landless female
sample farmers (almost 50% or more), more percentage of independent male dominance has been noticed
in activities like ploughing, threshing, winnowing,
storage of grains and fodder, collection of fodder/fuel, procurement of feed
and fodder from the market, milking, vaccination/visits to animal hospitals and
breeding of animals for these farmers.
On the other hand relatively
more percentage of land owners to landless female sample farmers has been
observed independently participating in activities like threshing, winnowing,
storage of grains and fodder, getting green fodder from fields / forest /
community land, milking, milk disposal, traditional health care to animals.
Independent male dominance was discovered in ploughing,
vaccination/visits to animal hospitals and breeding of animals for this
category of female farmers (almost 50% or more). In rest of the activities,
joint involvement of both the genders was observed for land owned female sample
farmers (more than 50%).
5.2.3 Education and participation in different activities
Data presented in Table 3.2 indicates that there is a
strong impact of education level on laborious farm and animal related
activities. Comparatively more percentage of illiterate farm women has been
spotted participating in these types of activities.
Table 3.2 - : Percentage participation of sample female farmers in
Farm/Animal and related activities according to their socio-economic condition
at selected sites of Sikkim state
Farm and related activities |
Education level |
Land Possession |
|||||||||||||||||||
Illiterate |
Primary |
Middle |
Matric |
Secondary |
Land Own |
Land Not Own |
|||||||||||||||
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
M |
F |
B |
|
Ploughing of Fields |
81 |
0 |
19 |
64 |
0 |
36 |
74 |
0 |
26 |
68 |
0 |
32 |
100 |
0 |
0 |
70 |
0 |
30 |
91 |
0 |
09 |
Sowing of seeds |
0 |
52 |
48 |
04 |
35 |
61 |
02 |
42 |
56 |
0 |
32 |
68 |
0 |
12 |
88 |
02 |
38 |
60 |
04 |
57 |
39 |
Weeding |
13 |
33 |
54 |
15 |
30 |
55 |
05 |
27 |
68 |
10 |
21 |
69 |
12 |
37 |
51 |
10 |
28 |
62 |
22 |
39 |
39 |
Harvesting |
04 |
29 |
67 |
07 |
28 |
65 |
02 |
27 |
31 |
0 |
47 |
53 |
12 |
25 |
63 |
04 |
29 |
67 |
09 |
35 |
56 |
Threshing |
25 |
25 |
50 |
19 |
18 |
63 |
15 |
18 |
67 |
13 |
24 |
63 |
25 |
0 |
75 |
16 |
20 |
64 |
39 |
13 |
48 |
Winnowing |
31 |
27 |
42 |
24 |
25 |
51 |
15 |
24 |
61 |
21 |
26 |
53 |
37 |
50 |
13 |
20 |
28 |
52 |
52 |
09 |
39 |
Storage of grains and fodder |
33 |
08 |
59 |
27 |
19 |
54 |
22 |
14 |
64 |
21 |
21 |
58 |
37 |
13 |
50 |
25 |
16 |
59 |
48 |
09 |
43 |
Collection of fodder/fuel |
23 |
15 |
62 |
30 |
15 |
55 |
22 |
14 |
64 |
26 |
16 |
58 |
12 |
12 |
76 |
24 |
13 |
63 |
44 |
26 |
30 |
Procurement of feed and fodder from the market |
42 |
19 |
40 |
44 |
10 |
46 |
24 |
15 |
61 |
16 |
16 |
68 |
25 |
0 |
75 |
33 |
13 |
54 |
48 |
22 |
30 |
Cleaning of the animals/shed |
35 |
04 |
61 |
25 |
09 |
66 |
17 |
08 |
75 |
42 |
0 |
58 |
50 |
12 |
38 |
28 |
06 |
66 |
22 |
13 |
65 |
Feeding of animals |
06 |
21 |
73 |
06 |
21 |
73 |
03 |
21 |
76 |
11 |
05 |
84 |
12 |
12 |
76 |
06 |
19 |
75 |
04 |
26 |
70 |
Watering |
21 |
33 |
46 |
05 |
30 |
65 |
08 |
20 |
72 |
05 |
16 |
79 |
0 |
25 |
75 |
08 |
26 |
66 |
08 |
35 |
57 |
getting green fodder from fields / forest / community land |
42 |
23 |
35 |
17 |
25 |
58 |
20 |
23 |
57 |
26 |
21 |
53 |
0 |
0 |
100 |
23 |
23 |
54 |
26 |
18 |
56 |
Milking |
23 |
23 |
54 |
15 |
29 |
56 |
14 |
26 |
60 |
10 |
37 |
53 |
25 |
12 |
63 |
12 |
28 |
60 |
57 |
17 |
26 |
Milk disposal |
08 |
44 |
48 |
14 |
33 |
53 |
08 |
32 |
60 |
05 |
37 |
58 |
12 |
25 |
63 |
08 |
36 |
56 |
30 |
26 |
44 |
Traditional health care to animals |
42 |
14 |
44 |
47 |
11 |
42 |
35 |
08 |
57 |
10 |
16 |
74 |
63 |
0 |
37 |
39 |
11 |
50 |
48 |
08 |
44 |
Vaccination/visits to animal hospitals |
88 |
0 |
12 |
72 |
0 |
28 |
62 |
0 |
38 |
63 |
0 |
37 |
62 |
0 |
38 |
70 |
0 |
30 |
87 |
0 |
13 |
Breeding of animals |
73 |
0 |
27 |
68 |
0 |
32 |
62 |
01 |
37 |
63 |
0 |
37 |
100 |
0 |
0 |
66 |
01 |
33 |
87 |
0 |
13 |
Care of fields/crops |
17 |
17 |
66 |
25 |
05 |
70 |
14 |
09 |
77 |
16 |
16 |
68 |
12 |
0 |
88 |
18 |
09 |
73 |
22 |
13 |
65 |
On the basis of education, the
percentage data of sample farmers at selected sites of Sikkim State shows
independent female participation in sowing, harvesting, weeding, threshing,
winnowing, collection of fodder/fuel, milking and milk disposal for all
education level. But, maximum percentage of illiterate female respondent was
found participating in sowing (52%), milk disposal (44%), threshing (25%),
secondary level educated was found in winnowing (50%), weeding (37%), matric level educated was found in harvesting (47%),
milking (37%). The least percentage of sample farmers at secondary level was
noticed participating in all above mentioned activities except for winnowing
and weeding, for which least was found at matric
level. Secondary level female farmers were located jointly participating in
rest of the activities. Almost same
percentage at all education level was noticed for collection of fodder/fuel.
Very interestingly, negligible or almost trifling male percentage was observed
for all these activities. Women get better chances for making decision also in
these activities. Male dominance has been noticed so overriding for
vaccination/visits to animal hospitals; breeding of animals and ploughing at all level of education that joint
participation also did not show very significant percentage for these
activities, even showed nil percentage at secondary level.
6. CONCLUSION
On the basis of above findings
of the data, we can conclude that since operational holdings in the area are
very small and also the terrain is steep, mechanization of agriculture is still
a distant reality. Due to this, agriculture practices require very high human
energy inputs and are full of drudgery. The participation data of female sample
farmers in farm/animal and related activities found more than 50 percent of
respondents as jointly partaking (both men and women) in most of these
activities. The bullocks were widely found used for ploughing
in view of the fact that mechanized farming is difficult in the state because
of the hilly terrain. This activity is mainly carried out by male member of the
family/hired labour.
In most parts of the world, men
and women tend to perform different tasks. Numerous time allocation studies
have examined this issue (McSweeney 1979; Pala 1983;
Hirschman and Vaughan 1984; Saito 1994). These
studies often identify some tasks as men’s tasks and some as women’s tasks. The
findings of the researcher’s data are also in line with this view. Sample
female farmers reported that though men were responsible for ploughing, vaccination/visits to animal hospitals; breeding
of animals, irrigation of field, embankment and work which require intensive
use of spade on work for long hours or may be at night while women were clearly
responsible for hand digging, sowing, harvesting, weeding, threshing,
winnowing, collection of fodder/fuel, milking and milk disposal independently but joint participation in all the
activities is reported by most of the female farmers. (Pala 1983) also held the
similar view for Kenya. Nonetheless, there are relatively fewer tasks where
independent gender participation is documented (Guyer
1980; von Braun and Webb 1989). Though tasks may be viewed as women’s or men’s,
in practice, the divisions are blurred with both men and women involved in many
tasks.
The land holding data of sample
farmwomen revealed 64% as small farmers (<2h a). As a result subsistence
farming is prevalent here and production is mainly done for consumption
purpose. In the absence of good marketing facility the farmers grow a little
bit of everything that he requires. Low scale of operation does not generate
much surplus to be taken to the market. In spite of the State being declared an
Organic one yet inputs like organic seeds/saplings are not timely available and
in sufficient quantity. This forces farmers to use HYV seeds which are not
organic. There is scarcity of good post harvesting processing and storage
facilities. However, most of them reported, were selling vegetables in local
vicinity. Post-harvest activity like storage etc. was not recorded much in the
areas and confined mainly to household level. Moreover, storage facility for
crops in all the districts is almost negligible in the State. More than rice,
they were
engaged growing maize, which is
used for consumption, feed/fodder as well as a little bit for commercial
purpose.
About more than half of the
women (52%) are deprived of access to land either singly or jointly, which led
to serious constraints on getting credit and increasing their productive
capacity. Lack of education and training, fewer opportunities for employment
and financial constraints were the obstacles stopping the respondents from
inheriting, using and securing land. Moreover, they are not well equipped for
land related deals etc., sale of produce of land except vegetables or to reach
the land which is scattered at a distant place.
7. SUGGESTIONS:
Keeping
in view the above mentioned problems/needs of the area and conclusions derived
there from, the researcher has made a fair endeavor to suggest some points for
the upliftment of the beneficiaries.
Tertiary sector in the State is
budding enormously. Consequently, a lot of male rural population has migrated
from rural area to these expansion sites to add extra source to income and to
get rid of hardship of agriculture sector. Even if migrants return, there may
be a reluctance to take up agriculture again. Hence, women's participation in
the smallholder sector contributing to food supply, always central, becomes
indispensable. This is the rationale behind the data of (25-45%) of sample
female farmers for all the categories of age and education in documenting the
independent participation in sowing, weeding, harvesting, milking and milk
disposal. Even their children extend them helping hand mainly for milk disposal
while going to school and getting green grass/fuel after coming back from
school. Hence, lucrative policies designed to overcome the hardship faced by
farm women left behind is of core importance, so that food supply does not get
affected. This initiative is also essential so that these farm women can be
prevented from getting accustomed to the cash remittances by male members and
there by shifting their production and consumption patterns. (Chaney M. Elsa
and Lewis W. Martha, 1985) also holds the similar view.
In spite of the fact that gas
connections have been distributed by the State government, still the vast
majority of rural women still depend on the locally available non-commercial sources
of energy such as animal dung, crop waste and fuel wood. In order to ensure the
efficient use of these energy resources in an environmental friendly manner,
efforts should aim at promoting the programmes of
non-conventional energy resources. Women should be involved in spreading the
use of solar energy, biogas, smokeless chulahs and
other rural application so as to have a visible impact of these measures in
influencing eco system and in changing the life styles of rural women. Time
saved by adopting these measures can be utilized in some other productive
chores like (marketing, processing) rather than in collecting fuel/firewood.
Considering the impact of environmental factors on their livelihoods, women’s
participation should be ensured in the conservation of the environment and
control of environmental degradation thus maintaining climatic balance.
Since mechanized ploughing is difficult in the state because of the hilly
terrain with steep slopes, bullocks are widely used both for cultivation and
other agricultural operations. There is no denying the fact that there is a
close nexus between farm power availability and agric productivity. But, at the
same time law of diminishing return is also applicable in farm power
availability and mechanization. Excessive mechanization does not bring rewards
instead block the capital; add to overhead costs and at times cause
indebtedness and its negative impacts. Agriculturally advanced states and
regions in the country have farm power availability of 2-4 kW/ha. Here, it is
suggested that if a group (SHG) of households/the entire village selects a
suitable plot in a hill slope or pool up their land holdings and mechanically
operate it, it can earn income to all of them. Along with this, multiple
cropping rather than mono cropping is also recommended. For this, improvement
in irrigation system is a must. But, the
scope of mechanization in every unit operation of production agriculture,
post-harvest, agro-processing and rural living cannot be ruled out. Females
will really be relieved of their hardship in farming sector with these
suggestions in place.
Another suggestion that emerges
in marketing and making agriculture a commercial venture is branding the
products so that they can be sold globally. The same product when produced by
different farmer groups under different brand names usually does not reach the
international market. It is important to organize these small farmers and make
arrangements to market their pooled products under a major brand name. Organic
products have a parallel market which, if captured in a strategic manner, can
lead to the rapid development of these hill districts. As the organically
produced products are free from chemical ingredient, it can fetch better
prices. It is very crucial to mention
here that the benefits so generated should directly reach the producer.
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Received on 29.05.2012 Accepted on 29.06.2012
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