Research Article

 

Socio-Economic Profile of Mithun Farmers of Nagaland

 

Naresh Prasad1, Jayanta Kumar Chamuah2, Kobu Khate2, Ponraj Perumal2*

1ICAR-Central Institute for Research on Cattle, Meerut, Uttar Pradesh -250 001, India; 2ICAR-National Research Centre on Mithun, Medziphema, Nagaland – 797 106, India.

 

Editor | Kuldeep Dhama, Indian Veterinary Research Institute, Uttar Pradesh, India.

Received | January 13, 2017; Accepted | March 26, 2017; Published | April 03, 2017

*Correspondence | Ponraj Perumal, ICAR- NRC on Mithun (ICAR), Jharnapani, Nagaland, India; Email: [email protected]

Citation | Prasad N, Chamuah JK, Khate K, Perumal P (2017). Socio-economic profile of mithun farmers of Nagaland. Adv. Anim. Vet. Sci. 5(4): 148-154.

DOI | http://dx.doi.org/10.14737/journal.aavs/2017/5.4.148.154

ISSN (Online) | 2307-8316; ISSN (Print) | 2309-3331

Copyright © 2017 Prasad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

INTRODUCTION

 

Socio economic status (SES) is a combined measurement of economic and social position of an individual compared to others in society. It influences the accessibility to the resources, livelihood pattern, food and nutritional security (Naresh Prasad and Perumal, 2016). Mithun is considered to be the pride of North Eastern Hill States of Arunachal Pradesh, Nagaland, Manipur and Mizoram. This animal plays an important role in the socio-cultural, economic and religious life of the tribal people inhabiting the region. Mithun is an indication of social status in which the richness of a person in the society is counted in terms of number of mithun he possesses. Farmers mainly rear mithun for meat purpose. Besides, this animal is also used as marriage gift and sacrificial animal for different social and cultural ceremonies (Rajkhowa et al., 2008; Perumal et al., 2016). Though, at present farmers do not consume its milk, but this animal produces highly nutritious milk. Mithun produces around 1 to 1.5kg milk per day (Nath and Verma, 2000). However, due to gradual denudation of open grazing area in the forest and increasing trend of mithun population, the farmers are facing lots of difficulties in rearing this animal with economic viability. There is an urgent need for scientific intervention for proper management as well as conservation of this animal (Perumal et al., 2015). Scientists of ICAR-NRC on Mithun have worked to meet the demands of the society in terms of mithun meat, milk and leather products. The investigation was conducted to view the situation of mithun rearing in Nagaland with the objective to study the socio-economic status of mithun farmers of Nagaland and its relationship to the number of mithun raised. Economic issues addressed by mithun rearing are financial support, social support and crisis management.

 

MATERIALS AND METHODS

 

Districts, blocks, villages and ultimate sample respondents were selected based on the multistage stratified random sampling technique. Two mithun rearing districts, Kohima and Phek were selected for this study. Thereafter, two blocks were selected randomly from each of the selected district. Blocks such as Sechu-Zubza and Tseminyu in Kohima district and Chizami and Sakraba in Phek district were selected. In next stage, one village was selected from each of the selected block namely Khonoma from Sechu-Zubza block, Tseminyu from Tseminyu block, Mesulumi from Chizami block and Porba from Sakraba block was selected randomly. Further, twenty five respondents were selected randomly from each of the selected village and the total respondents were 100.

 

A suitable interview schedule was developed for mithun farmers. All the selected variables were included in the schedule. The suitable indices were also developed for the measurement of variables. The scale developed by researchers was included in the schedule. The interview schedules, so developed, were pre-tested on similar respondents in non-sample area to work out their reliability and validity. The suitable modification was made in the schedules accordingly. With the help of interview schedule so developed, the data was collected from mithun farmers personally by the researcher at the convenient place and time. Some informal discussion pertaining to the study was also carried out.

 

After collection of information, the classification and tabulation of data was done keeping in view the objectives of the study. The suitable statistical analysis of data such as mean, standard deviation, frequency, percentages and correlation analysis were applied to draw meaningful inferences. Finally data analyses and documentation were done.

 

Age Of The Respondent

 

Age of a respondent was measured in terms of year from birth to time of taking interview. A unit score was assigned for each year of one’s age. On the basis of age (years), the farmers of the study area were classified into three groups namely: young, middle and old.

 

Socioeconomic Status

 

It refers to the position of the respondents in the society as determined by various social and economic variables viz. caste, occupation, education level, social participation, family type, family size, land holding size, farm power, house type and material possession. All these variables were measured with the help of socio economic status scale (rural) developed by Trivedi and Pareek (1963) with suitable modifications as per requirements. The total score obtained from the respondents was added up and the farmers were categorized as low, medium and high.

 

Occupation

 

Occupation is a means or ways by which a man earns some money for his livelihood. The respondent under investigation has various occupations other than animal rearing activities. These are (1) agriculture, (2) animal rearing, (3) business and (4) service.

 

Education Level

 

Education is defined as a process of changing human behaviour in a desired direction. It was measured in terms of one’s year of schooling. One score was given for passing each level in an educational institution. According to the level of education, the farmers were classified into four categories namely illiterate, primary, secondary and above secondary.

 

Social Participation

 

This was conceptualized as the degree to which the livestock farmers took active role in various social organizations and social activities. The livestock farmers were asked to mention whether they have membership / participate / official position of any of social/cultural/ cooperatives/ village institution. The respondents were categorized as low, medium and high categories on the basis of participation scores, mean and standard deviation.

 

Family Size

 

The family size was measured by the total number of members in the family of a respondent. The family members included the respondent him/herself, wife and husband, children and other dependent members who live and eat together. A unit score was assigned for each member of the family. On the basis of the number of family members, the respondent farmers were classified into three categories namely: small, medium and large.

 

Farm Size

 

The farm size was measured by the area of raised land in which the household of the respondent had its entire dwelling including homestead, area under cultivation and others. It was expressed in acre. The total area of land thus obtained has been considered as farm size of the respondent. Depending on the farm size, the mithun farmers were classified into three categories namely small, medium and large on the basis of mean and standard deviation.

 

House Type

 

The house type refers to the house made of different type of materials. The house is categorized into four type namely hut, wood, mixed and pucca. It was assigned as scores 1, 2, 3 and 4.

 

Material Possession

 

It refers to the materials possess by mithun farmers for household use and agricultural farming purposes. It was bullock cart, bicycle, radio, chairs, leveller, seed drill, thresher, prayer, cultivator, motorbike, television, car and tractor. Depending on the material possession, the mithun farmers were classified into three categories namely low, medium and high.

 

Family Education Status

 

Family education status refers to educational status of the family which is expressed in terms of percentage. It was measured by the scale developed by Trivedi (1963).

 

 

Where:

 

IFES: Index of Family Education Status; T: Total educational score by adding the educational achievement of each member of the family; S: Effective family size i.e. members of family above six years of age

 

The mithun farmer was classified as low, medium and high family education status.

 

Annual Income From Mithun Husbandry

 

It was measured in terms of cash money earned from the mithun from sale of meat, meat product, by-product and sale of mithun per year. Scoring was done on the basis of figures of cash money i.e. in rupees 1000/-. The respondents were categorized as low, medium and high.

 

Total Annual Income

 

Total annual income of a respondent was measured by taking the sum of income earned in a year by the respondent himself and other members of the family in a year from different sources like crop, mithun, others livestock, fisheries and some other non-agricultural sources (business, service etc.). It was expressed in thousand (‘000’) rupees. Depending on the level of income of the farmers, they were classified into three categories namely low, medium and high income.

 

Number Of Mithun Reared

 

It refers to the number of mithuns reared by mithun farmers for livelihood. It was measured as number of mithun reared. Depending on the number of mithun reared, the mithun farmers were classified into three categories namely low, medium and high.

 

RESULTS AND DISCUSSION

 

Analysis and interpretation of socioeconomic profile of the mithun farmers of Nagaland

 

Age Wise Classification Of Mithun Farmers

 

Data presented in Table 1 revealed that majority (67%) of mithun farmers were middle (36-50 years) and young (up to 35 years) followed by old (33%) (above 50 years) age group. In general, the farmers of young and middle aged group were enthusiastic and have more work efficiency.

 

Moreover, the middle aged people have more family responsibility and sensibility. They work with commitment and involvement. These might be the probable reasons for more number of the respondents to be found in the middle aged group followed by young and old age. This report finding was in line with the findings of Shanthamani (2007).

 

Table 1: Age groups (N=100)

 

Variables	Category	Score range	Freq.	Percentage
Age (years)	Young	Upto 35	31	31.00
	Middle	36-50	36	36.00
	Old	Above 50	33	33.00

 

Table 2: Socioeconomic status (N=100)

 

Variables	Category	Score range	Frequency	%age
Socio-economic status (SES)	Low	Upto12	15	15.00
	Medium	13-24	69	69.00
	High	Above 24	16	16.00
	Mean		18.38
	Std. Dev.		5.98

 

Socioeconomic Status Of The Mithun Farmers

 

Survey revealed that the 69 per cent of the mithun farmers having medium socioeconomic status followed by high (16%) and low (15%). The findings were in consonance with the findings of Roy et al. (2013). There were different elements in socioeconomic status such as education, income, social participation, etc (Table 2).

 

The responses of the farmers were recorded in terms of scores. On the basis of total score, mean score and SD the mithun farmers was classified as low, medium and high.

 

Caste Of The Mithun Farmers

 

Category-wise analysis of caste indicated that all (100%) mithun farmers had schedule tribes (Christian) (Table 3).

 

Occupation Of The Mithun Farmers

 

Majority (70%) of mithun farmers had agriculture as main occupation followed by animal rearing (22%), service (7%) and only one per cent had business as main occupation. It may be said that farming with wage earning and farming as a sole profession were two main categories to which majority of farmers belonged to their occupation (Table 4).

 

Table 3: Caste (N=100)

 

Variables	Category	Score range	Frequency	%age
Caste	ST (Christian)	1	100	100.00
	Others (SC, OBC, General)	2	0	0

 

Table 4: Occupation (N=100)

 

Variables	Category	Score range	Freq.	Percentage
Occupation	Agriculture	1	70	70.00
	Animal Rearing	2	22	22.00
	Business	3	1	1.00
	Services	4	7	7.00

 

Education Level Of The Mithun Farmers

 

It is clear from the below table that the 17 per cent were illiterate. Data also indicated that most (50%) of mithun farmers were found to have secondary level education followed by primary level (30%) and only 3 per cent have above secondary level education. Some studies had shown the similar education level among farmers. There are many reasons for beneficiaries belong to low level education; it could be lack of finance, lack of access to education and further, the utilization of family members as labour after primary school education for farming purpose. However, some of them have completed the above secondary level education and choose farming for their livelihood. The above findings got support from the study conducted by Parvathamma (2006) which revealed that more number of farmers were educated up to high school level (Table 5).

 

Table 5: Education level (N=100)

 

Variables	Category	Score range	Freq.	%age
Education level	Illiterate	0	17	17.00
	Primary school	1	30	30.00
	Secondary school	2	50	50.00
	Above secondary	3	3	03.00

 

Social Participation Of The Respondent

 

Majority (90%) of the mithun farmers were found to have low level of social participation followed by medium (9%) and only one per cent of mithun farmers were high level (wide public leader) of social participation. Mishra (1979) and Sah (2005) in their study found that majority of the respondents were having medium level of social participation. It may due to fact that they may not be aware about the social participation with organizations or its benefits (Table 6).

 

Table 6: Social participation (N=100)

 

Variables	Category	Score range	Freq.	%age
Social participation	Low	Below 1	90	90.00
	Medium	1-2	9	9.00
	High	Above 2	1	1.00
	Mean		0.84
	Std. Dev.		0.70

 

Table 7: Family type (N=100)

 

Variables	Category	Score range	Frequency	Percentage
Family type	Nuclear	1	66	66.00
	Joint	2	34	34.00

 

Family Type Of The Mithun Farmers

 

About two third of mithun farmers had nuclear type of family followed by joint type (34%) of family. Similar trend was observed by Sathyanarayan et al. (2010) (Table 7).

 

Family Size Of The Mithun Farmers

 

Majority (55%) of mithun farmers had medium size (5-8 members) of family followed by small (38%) size (up to 4 members) and only 7 per cent had large size (above 8 members) of family. Tripathi and Kunwar (2015) reported that majority of farm women were found to have medium (45.60%) family size (5-8 members) (Table 8).

 

Table 8: Family size (N=100)

 

Variables	Category	Score range	Frequency	%age
Family size	Small (Upto 4)	1	38	38.00
	Medium (5-8)	2	55	55.00
	Large (Above 8)	3	7	7.00
	Mean		1.69
	Std. Dev.		0.60

 

Farm Size Of The Mithun Farmers

 

About two third of mithun farmers had medium size (4-8 acre) of farm followed by low (22%) size (up to 4 acre) of farm and only 10 per cent had large (above 8 acre) size of farm (Table 9).

 

House Type Of The Mithun Farmers

 

Most of the house of mithun farmers had wood (54%) type to mixed (37%) type and only 5 per cent had pucca type followed by 4 per cent had hut type of house (Table 10).

 

Table 9: Farm size (N=100)

 

Variables	Category	Score range	Freq.	%age
Farm size	Small (1-4 acre)	Below 2	22	22.00
	Medium (4-8 acre)	2 - 4	66	66.00
	Large (Above 8 acre)	Above 4	12	12.00
	Mean		2.71
	Std. Dev.		1.30

 

Table 10: House type (N=100)

 

Variables	Category	Score range	Frequency	Percentage
House type	Hut	1	4	4.00
	Wood	2	54	54.00
	Mixed	3	37	37.00
	Pucca	4	5	5.00

 

Materials Possession By The Mithun Farmers

 

Survey data indicated that majority (82%) of mithun farmers had medium level of materials possession followed by high (11%) and low (7%). The similar findings were also reported in other studies. The raise in family income increases the possession of assets since man has no end to his needs and wants. If one need is fulfilled at the same time another need arises. The results of the study of Arun Babu (2005) and Vishvanath Hiremath (2007) were in conformity with the findings of the present study (Table 11).

 

Family Education Status Of The Mithun Farmers

 

More than two third of mithun farmers had medium education status of family followed by low (18%) and only 15 per cent had high family education status (Table 12).

 

Table 11: Materials possession (N=100)

 

Variables	Category	Score range	Frequency	Percentage
Material possession	Low	Below 2	7	7.00
	Medium	2 - 9	82	82.00
	High	Above 9	11	11.00
	Mean		5.32
	Std. Dev.		3.85

 

Table 12: Family education status (N=100)

 

Variables	Category	Score range	Frequency	Percentage
Family education status	Low	Upto 1.04	18	18.00
	Medium	1.05 - 2.34	67	67.00
	High	Above 2.34	15	15.00
	Mean		1.69
	Std. Dev.		0.65

 

Income From Mithun Husbandry

 

More than half of the mithun farmers had medium income (Rs.27000-50000) from mithun husbandry followed by high (above Rs.50000) to low (upto Rs.26000) income from mithun husbandry (Table 13).

 

Total Annual Income Of The Mithun Farmers

 

Seventy five per cent of mithun farmers were found to have low (upto 1.5 lakh) to medium (1.5-3 lakh) level of total annual income followed by high (above 3 lakhs) level (25%) of total annual income. Other studies also presented the similar kind trend of income in their study (Table 14).

 

Table 13: Income from mithun husbandry (N=100)

 

Variables	Category	Score range	Frequency	%tage
Annual income from mithun husbandry (000)	Low	Upto 26	19	19.00
	Medium	27- 50	51	51.00
	High	Above 50	30	30.00

 

Table 14: Total annual income (N=100)

 

Variables	Category	Score range	Freq.	Percentage
Total annual income (000)	Low	Upto 100	38	38.00
	Medium	101-200	37	37.00
	High	Above 200	25	25.00

 

Number Of Mithun Reared By The Mithun Farmers

 

Majority (75%) of mithun farmers had medium number (3-8) of mithun reared followed by large (above 8) and small number (up to 2) of mithun reared. The similar findings were also reported in other studies. It was also observed that the mithun farmers raising more mithun had more income from mithun husbandry and had more total annual income (Table 15).

 

Table 15: Number of mithun reared (N=100)

 

Variables	Category	Score range	Frequency	%age
Number of mithun reared	Small	Upto 2	13	13.00
	Medium	3-8	75	75.00
	Large	Above 8	12	12.00
	Mean		5.45
	Std. Dev.		3.06

 

Relationship Of Independent Variables With Number Of Mithun Reared By Mithun Farmers

 

To determine the relationship of independent variables with the dependent variables, the data were subjected to correlation analysis. The correlation analysis highlighted that the annual income from mithun husbandry and total annual income were found to be positive and highly significant correlation with number of mithun reared whereas age was negative and non-significantly correlated. This indicated that the mithun farmers having more mithun had more annual income from mithun husbandry and also had more total annual income (Table 16).

 

Table 16: Relationship between independent variables with number of mithun reared by mithun farmers

 

Sl. No.	Variables	Correlations with number of mithun
1	Age	-0.131
2	Socio-economic status	0.244*
3	Occupation	0.154
4	Education level of the respondents	0.094
5	Social participation	0.036
6	Family type	0.164
7	Family size	0.127
8	Farm size	0.066
9	House	0.008
10	Material possession	0.245*
11	Family education status	0.245*
12	Annual Income from Animal Husbandry	0.458**
13	Total annual income	0.315**

 

*: Correlation is significant at the 0.05 level; **: Correlation is significant at the 0.01 level

 

 

Table 17: Relationship between independent variables with annual income and total annual income of mithun farmers

 

Sl. No.	Variables	Annual income from mithun husbandry (r)	Total annual income (r)
1	Age	-0.167	-0.012
2	Socio-economic status	0.190	0.215*
3	Occupation	0.325**	0.130
4	Education of respondent	0.172	0.136
5	Social participation	0.089	0.031
6	Family type	0.275**	0.176
7	Family size	0.216*	0.147
8	Farm size	0.281**	0.182
9	House	0.167	0.274**
10	Material possession	0.083	-0.017
11	Family education status	0.373**	0.348**
12	Herd size	0.534**	0.395**
13	Annual income from mithun husbandry	1	0.503**
14	Total annual income	0.503**	1
15	Number of Mithun	0.315**	0.458**

 

*: Correlation is significant at the 0.05 level; **: Correlation is significant at the 0.01 level

 

 

However, the socioeconomic status, material possession and family education status of mithun farmers were found to have positive and significant correlation with number of mithun reared whereas occupation, education level of the respondents, social participation, family type, family size, farm size, house type had positive and non-significant correlation with number of mithun raised. Relationship between socioeconomic status and number of mithun reared was significant and positively correlated. It revealed that the mithun farmers having more mithun have high socio-economic status and vice-versa.

 

Relationship Between Independent Variables With Annual Income From Mithun Husbandry And Total Annual Income Of Mithun Farmers

 

A perusal of data in the Table 17 indicated that occupation, family type, farm size, family education status, herd size, total annual income and number of mithun raised had positive and highly significant correlation with annual income from mithun husbandry, family type had positive and significant correlation whereas socioeconomic status, education of respondent, social participation, house type and material possession had positive and non-significant correlation and age had negative and non-significant correlation with annual income from mithun husbandry of mithun farmers.

 

The data presented in Table 17 also revealed that house type, family education status, herd size, annual income from mithun husbandry and number of mithun raised had positive and highly significant correlation with total annual income from all sources, socioeconomic status had positive and significant correlation whereas occupation, education level of the respondents, social participation, family type, family size and farm size had positive and non-significant correlation and age, material possession had negative and non-significant correlation with total annual income from all sources of mithun farmers.

 

CONCLUSION

 

Mithun rearing is a source of income generation. Social status is correlated with mithun rearing. The people who rear mithun are village people having medium to high socio economic status. Present day relevance of mithun as an economic component of the system. Mithun farmers who were rearing more mithun have more socio-economic status and also have more income from animal husbandry. Survey revealed that the mithun farmers were mostly of the age group of below 50 years with medium to low socio-economic status; agriculture along with animal rearing as their main occupation, education status up to high school and average income from Animal Husbandry. It was also observed that the mithun farmers raising more mithun had more income from Animal Husbandry, had more total income (more than Rs. 200000) and had high socio-economic status. Correlation analysis between annual income from Animal Husbandry and number of mithun was raised were highly significant and positively correlated and total annual income of mithun farmers were also highly significant and positively correlated with number of mithun raised. This indicates that mithun farmers having more mithun have more income from Animal Husbandry and also have more total annual income. Relationship between socio-economic status and number of mithun raised was significant and positively correlated. It revealed that the mithun farmers having more mithun have high socio-economic status and vice-versa.

 

CONFLICT OF INTEREST

 

None of the authors have any conflict of interest to declare.

 

AUTHOR’S CONTRIBUTION

 

Naresh Prasad: Plan of work, execution, analysis of data and manuscript preparation. Ponraj Perumal: plan of work, technical assistance, analysis of data and manuscript preparation. Kobu Khate: technical assistance and analysis of data. Jayanta Kumar Chamuah: manuscript preparation, analysis of data and correction.

 

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