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

 


1. INTRODUCTION:

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.

 

8. REFERENCES

·        "Asia's women in agriculture, environment and rural production: India".    Retrieved 2006-12-24.

·        Census of India,2001. Economic characteristics of Indian Population, Office of the Registrar General, Government of India, New Delhi.

·        Census (2011), available at http://censusindia.gov.in/2011-prov-results/prov_data_products_sikkim.html

·        ChandrakalaDiyali, A Situational Analysis of Women and Girls in Sikkim, National Commission for Women, New Delhi available at http://ncw.nic.in/pdfreports/Sikkim%20Book.pdf

·        Chaney M. Elsa and Lewis W. Martha, 1985.Women, migration, and the decline of smallholder agriculture, Working Paper 97, October 1985.

·        Guyer, Jane I. 1980. ‘Food, cocoa and the division of labour by sex in two West African societies’, Comparative Studies in Society and History, 22, (3): 355-73. 

·        Hirschmann, D., and M. Vaughan. 1984. Women Farmers of Malawi: Food Production in the Zomba District. Berkeley, California: University of California.

·        KalyaniMenon-Sen, A. K. Shiva Kumar  2001. "Women in India: How Free? How Equal?".United Nations.Archived from the original on 2006-09-11.Retrieved 2006-12-24.

·        McSweeney, B.G. 1979. Collection and analysis of data on rural women’s time use. Studies in Family Planning 10(11/ 12): 379–83

·        Nandy, S.N. and Samal, P.K.  2005. An outlook of agricultural dependency in the IHR. ENVIS Newsletter : Himalayan Ecology 2 : 4-5.

·        Pala, A.O. 1983. Women’s access to land and their role in agriculture and decision-making on the farm: experiences of the Joluo of Kenya. Journal of Eastern African Research and Development 13: 69–85.

·        Prasad C. and Singh R.P., 1992 .Farm Women : A precious Resource. in Women in Agriculture, Vol. 2, Education, Training and Development edited by R.K. Punia, 1992, Northern Book Centre, Ansari Road, New Delhi.

·        Saito, K.A. 1994. Raising the Productivity of Women Farmers in Sub-Saharan Africa. World Bank Discussion Paper No. 230. Washington, DC: World Bank.

·        Singh, S., and Hoge, G. 2010. Debating Outcomes for ‘Working’ Women – Illustration from India, The Journal of Poverty, 14 (2), 197-215

·        Swaminathan M. S. 1985. Imparting rural women perspective to agricultural research and development . Report of the Project Design Workshop on Women in Rice Farming Systems, held at the International Rice Research Institute, Los Banos, Philippines, April

·        Von Braun,  J., and P.J.R. Webb  1989. The impact of new crop technology on the agricultural division of labor in a West African setting. Economic Development and Cultural Change 37(3): 513–34.

 

 

 

Received on 29.05.2012                    Accepted on 29.06.2012        

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Asian J. Management 3(3): July-Sept., 2012 page 139-148