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V. Socioeconomic Profile of Sample
Households
This chapter discusses the demographic characteristics of selected households, asset
ownership patterns, milk production, consumption and marketing practices, animal health and
breeding practices, and access to inputs and resources.
5.1 Demographic Characteristics
Important socioeconomic characteristics of sample households are presented in Tables 5.1
and 5.2 for the north and west regions, respectively. The average family size of the surveyed
households was six members per household and did not vary significantly across size classes
and regions. The age structure of households indicates that the average age of head of
household also did not vary significantly across regions; however, average age of commercial
dairy farmer was lower than other categories of farmers, which indicates that young farmers
have a strong preference for milk-production activity. About half of the population was in the
age group of 40 and older. The education level (number of schooling years) was slightly
higher in the western region and showed a direct relationship with the size of holdings.
Almost all the households in the sample were male-headed. Education plays an important role
in the adoption of innovations/new technologies, and young farmers are expected to be earlyadopters. Over 90 percent of households in the western region and nearly two-thirds in the
northern region were literate. The literacy ratio was higher in male-headed households than in
female-headed households in both regions.
The selected households had fairly long experience in dairy farming, and farmers had, on
average, 20 years of experience in milk-production activity, which shows that the majority of
the farmers in rural areas have been integrating their crop and milk-production activities
(Table 5.3). More than one-third of the commercial farmers had less than 10 years of
experience. These commercial farms are driven by demand-side market factors such as
increasing demand for milk and dairy products in urban areas, easy access to
inputs/resources, and better market opportunities. In contrast, the smallholder dairy farming
system in rural areas is closely interwoven with crop farming as a subsidiary occupation
based on crop residues/by-products and using male bovines for draft power and transport and
dung as manure in fields or as fuel for cooking.
Table 5.1 Demographic characteristics of sample households: Northern region
Small Medium Large Commercial All
Sample size 100 68 58 34 260
Average family size 5 6 7 6 6
Mean age of head (years) 46 47 52 43 47
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Household (%) with
25 years 1 6 4 9 4
25-40 years 37 24 24 32 30
40-50 years 36 35 19 35 32
> 50 years 26 35 53 24 34
Education of head (years of schooling) 4 5 7 9 6
Households (%)
Illiterate 9 41 24 9 36
1-5 years of schooling 18 13 10 6 14
5-10 years of schooling 46 40 50 50 39
> 10 years of schooling 27 6 16 35 11
Education of spouse (years of schooling) 2 3 4 6 3
Spouse (%)Illiterate 68 50 52 32 55
1-5 years of schooling 14 24 8 9 15
5-10 years of schooling 18 26 33 44 27
> 10 years of schooling 0 0 7 15 3
Number of
Adult males 2 2 3 2 2
Adult females 2 2 2 2 2
Children 2 2 2 2 2
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Table 5.2 Demographic characteristics of sample households: Western region
Small Medium Large Commercial All
Sample size 100 80 50 30 260
Education of spouse (years of schooling) 5 6 6 7 6
Mean age of head (years) 46 46 44 42 45
Household (%)
25 years 2 0 0 3 1
25-40 years 32 40 42 47 38
40-50 years 37 26 32 23 31
> 50 years 19 34 26 27 30
Education of head (years of schooling) 9 9 10 10 9
Household (%)
Illiterate 9 4 6 0 6
1-5 years of schooling 18 16 6 10 14
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5-10 years of schooling 46 49 58 70 52
> 10 years of schooling 27 31 30 20 28
Spouse (%)
Illiterate 35 21 26 10 26
1-5 years 18 26 16 27 21
5-10 years 38 49 50 53 46
> 10 years 9 4 8 10 7
Number of
Adult males 2 2 3 2 2
Adult females 2 2 2 2 2
Children 1 2 2 2 2
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
There are striking differences in primary sources of occupation across different categories of
farms and regions (Table 5.4). A large proportion of small households (42%) in the northern
region were wage earners/farm laborers, while in the western region about 44 percent of
smallholders had dairying as their primary occupation. The spouse of the head of household
largely takes care of milk-production activities on small farms. In the northern region, crop
farming was a primary occupation; in the western region, the majority of the farmers had
dairy farming as a primary occupation. This is due to differences in agricultural development
between these two regions. However, in the case of commercial farms, milk production was
the main occupation in both regions.
Performance of a household also depends on access to infrastructure. Milk being a perishable
commodity, good access to market is of paramount importance. We have analyzed the
information on average distance to milk collection centers, the nearest market, and roads as
an indicator of infrastructure (Table 5.5). Access to milk collection centers is better in the
western region, where about 95 percent of the households have easy access, mainly due to the
good network of dairy cooperative societies. In the northern region, the commercial farms are
slightly distant from milk collection centers but close to markets. The average distance to a
paved road was also shorter in the western region than in the northern region.
Table 5.3 Experience of households in milk-production activities
Small Medium Large Commercial All
Northern Region
Experience in dairy farming (years) 22 22 25 17 20
Households with
5 years 3 2 2 12 4
5-10 years 14 13 9 23 14
10-15 years 18 10 12 9 13
15-20 years 29 32 31 35 31> 20 years 36 43 47 21 38
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Western Region
Experience in dairy farming (years) 20 21 19 17 20
Households with
5 years 5 11 14 13 9
5-10 years 21 19 12 23 19
10-15 years 23 16 20 14 19
15-20 years 11 9 20 17 13
> 20 years 40 45 34 33 40
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Table 5.4 Distribution of households according to main source of occupation
Small Medium Large Commercial All
Northern Region
Main occupation of head of household (%)
Crop farming 31 79 83 30 55
Dairy farming 0 2 8 68 11
Wage earning 12 7 7 0 9
Service 42 10 2 0 19
Others 15 2 0 32 7
Spouse of head of household (%)Crop farming 1 1 5 29 6
Dairy farming 98 97 95 71 94
Wage earning 1 0 0 0 0
Service 0 0 0 0 0
Others 0 1 0 0 0
Western Region
Main occupation of head of household (%)
Crop farming 42 41 16 7 33
Dairy farming 44 59 80 93 61
Wage earning 10 0 4 0 5
Service 3 0 0 0 1
Others 1 0 0 0 1
Spouse of head of household (%)
Crop farming 1 54 78 90 55
Dairy farming 98 42 18 7 40
Wage earning 0 3 4 0 2
Service 0 1 0 0 1
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Others 1 0 0 3 2
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Table 5.5 Distance to market, milk collection center, and road
Small Medium Large Commercial All
Northern Region
Households (%) with average distance to milk collection center
1 km 72 75 88 44 76
1-2 km 3 0 2 53 1
> 2 km 25 25 10 3 22
Households (%) with average distance to nearest market
1 km 0 0 79 10
1-3 km 14 0 6 12
3-5 km 12 14 3 11
> 5km 74 86 12 67
Households (%) with average distance to paved road
1 km 62 60 62 76 63
1-3 km 0 0 0 24 3
3-5 km 13 13 10 0 11
> 5 km 25 27 2 0 23Western Region
Households (%) with average distance to milk collection center
1 km 72 97 94 90 95
1-2 km 3 3 6 10 5
> 2 km 25 0 0 0 0
Households (%) with average distance to nearest market
1 km 0 0 0 0 0
1-3 km 15 13 6 17 11
3-5 km 46 37 34 70 38
> 5km 39 50 60 13 51
Households (%) with average distance to paved road
1 km 62 98 98 97 98
1-3 km 0 2 2 3 2
3-5 km 13 0 0 0 0
> 5 km 25 0 0 0 0
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
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5.2 Asset Ownership and Distribution
Land is an important asset of farmers, although in the case of dairy production, purchased or
exchanged feed and fodder can be substituted for land holdings. The average size of land
holdings was smaller (1.06 hectares) in the northern region than in the western region (1.85
hectares). It ranged from about 0.43 hectares in the case of small farms to about 2.60 hectares
in the case of large farms in the northern region (Table 5.6). In the western region, it ranged
from 0.85 hectares for small farms to 4.08 hectares for commercial farms. However, land
productivity in the northern region is higher than in the western region due to better irrigation
facilities and other resources. Most of the commercial farms are landless and highly
dependent on market-purchased feeds and fodder.
Table 5.6 Land ownership pattern in sample households
Own Land (ha)
Leased-in(ha) Leased-out(ha) Total OperationalAreaIrrigated Non-irrigated
Northern Region
Small Farms 0.36 - 0.10 0.03 0.43
Medium Farms 1.10 - 0.16 0.02 1.24
Large Farms 1.38 - 0.26 0.04 1.60
Commercial 1.23 - 0.39 - 1.62
All Farms 0.89 - 0.19 0.02 1.06
Western RegionSmall Farms 0.77 0.03 0.09 0.04 0.85
Medium Farms 1.66 0.10 0.36 0.02 2.10
Large Farms 2.06 0.22 0.18 0.09 2.37
Commercial 2.68 1.14 0.37 0.11 4.08
All Farms 1.52 0.18 0.20 0.05 1.85
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
The size distribution of households showed that about 42 percent of households in the northand 38 percent in the west had less than one hectare of land for cultivation (Table 5.7). More
than one-fourth of smallholder dairy farmers in the north were landless laborers, while the
share of such households in the western region was 11 percent (Table 5.8). Nearly 26 percent
of households in the north and 17 percent in the west had taken land on lease from other
farmers. The terms of lease were mainly a fixed amount per unit of land and varied
depending on the quality of the land. Only a small proportion of households rented out their
land, mainly due to small landholdings.
Table 5.7 Distribution of selected households according to farm size
Small Medium Large Commercial All
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Northern Region (%)
< 0.5 ha 38 5 15 23 22
0.5-1.0 ha 28 17 9 11 20
1.0-2.0 ha 16 48 42 29 35
2.0-3.0 ha 12 17 17 20 11
> 3 ha 6 14 17 17 12
Western Region (%)
< 0.5 ha 42 4 5 44 23
0.5-1.0 ha 28 6 7 6 15
1.0-2.0 ha 16 24 22 0 17
2.0-3.0 ha 12 31 12 9 17
> 3 ha 6 35 53 41 29
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Table 5.8 Proportion of farmers leasing-in and leasing-out land
Small Medium Large Commercial All
Northern Region (%)
Landless 28 3 7 41 18
Lease-in 30 21 24 24 26
Lease-out 3 3 2 0 2Western Region (%)
Landless 11 4 6 3 7
Lease-in 9 10 14 30 17
Lease-out 5 1 4 3 3
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Farmers grow a variety of crops in the study area. (Table 5.9). In the western region, rice
(17%) is a main crop during kharifseason and wheat (19%) in rabi season, accounting fornearly two-thirds of the total cropped area. Bajra and cotton were two other important kharifcrops, occupying about 11 percent of gross cropped area. Jowar, maize, and lucern were
important fodder crops. The average area allocated for fodder crops ranged from about 13
percent on small farms to about 22 percent on commercial farms.
The cropping pattern in the northern region is also dominated by rice in kharifand wheat in
rabi season, accounting for over three-fourths of the gross cropped area. The area under
fodder crops ranged from 8.7 percent on small farms to about 20 percent on commercial
farms, with an average of 13.4 percent for all categories. Maize, jowar, and berseem were
important fodder crops. In addition, farmers grow berseem (fodder) as a mixed crop with
mustard in the region.
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Livestock is an important component of farming systems in India. The distribution of the
bovine population in the selected households in given in Table 5.10.
Table 5.9 Cropping pattern in the study area
Crops/Regions Small Medium Large Commercial All
Western Region (%)
Paddy 11.29 15.14 16.55 25.89 17.05
Wheat 19.25 18.78 20.17 17.68 18.96
Bajra 20.12 15.26 11.53 8.61 13.88
Mustard 3.62 2.54 1.59 0.81 2.15
Fodder 26.32 29.28 31.38 36.66 30.8
Kharif 9.98 10.11 11.76 13.97 11.31
Rabi 8.70 8.83 10.55 10.84 9.64Summer 7.64 10.34 9.07 11.85 9.85
Others 19.40 19.00 18.78 10.35 17.16
Northern Region (%)
Paddy 40.40 42.30 37.80 34.80 38.90
Wheat 41.30 43.00 38.20 35.40 39.50
Fodder 8.70 9.00 14.80 20.40 13.40
Kharif 5.80 6.40 9.60 11.50 8.60
Rabi 1.60 0.10 2.40 0.00 1.30
Summer 1.30 2.50 2.80 8.90 3.50
Berseem+Mustard 6.20 5.40 7.40 9.40 7.00
Others 3.40 0.30 1.80 0.00 1.20
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
The average number of animals per household varies with the size of the farm; however,
there were striking differences in terms of milk animal population composition across regions
and categories of households. Buffalo was a main source of milk production in the western
region, but its importance differed across farm size. Among small and medium farmers, about90 percent of milk animals were buffaloes, while large farmers kept about 79 percent milk
buffaloes and 21 percent crossbred cows. In the case of commercial farms, buffaloes
constituted about two-thirds of milk animal population; the rest were crossbred cows. In the
northern region, the share of crossbred cows was higher than buffaloes. Buffaloes constituted
about 32 percent of total milk animal population. Commercial farmers' herd composition
consisted of about 32 percent buffaloes and 68 percent crossbred cows.
Table 5.10 Average number of bovines in the study area
Farm SizeCows Buffaloes
In-milk Dry Heifers Calves In-milk Dry Heifers Calves
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Northern Region
Small - - - - 1 - - -
Medium - - - - 3 1 1 2
Large 2 1 - - 5 2 2 3
Commercial 9 2 1 4 7 1 1 3
All Farms 2 - - 1 3 1 1 2
Western Region
Small 2 - - 2 1 - - 2
Medium 4 2 - 3 2 1 - 3
Large 7 2 2 5 2 1 2 4
Commercial 15 4 3 8 7 2 2 3
All Farms 6 4 5 3 3 2 1 4
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
More than half of the selected households had 1-3 milk animals; fewer than 10 percent kept
more than 15 milk animals (Table 5.11). In India, about 70 percent of households keep one to
three milk animals, and there are very few large herds. Since the objective of this study is to
examine the impact of livestock industrialization on the welfare of rural households, we
purposely selected households with large herd sizes. In certain villages, it was difficult to find
dairy farmers with 10 or more milk animals; however, in parts of Punjab and Haryana, the
average size of dairy herds has increased significantly during the past few years. Since no
reliable data are available at the state or national levels about changes in the structure of dairy
herds, we tried to get some estimates from the selected households about the changes in herdsize milk over the past 15 years on the basis of respondents' memory (Table 5.12).
The average number of animals kept by smallholders did not change much during the last two
decades, and ranged between two and four. Two of the reasons given by the respondents were
shortage of land for growing fodder crops and market-related problems. Similarly, in the case
of medium farmers, there was not much increase in dairy herd size. However, there appeared
to be a ramping-up of herd size in large and commercial farms during the 1990s, especially in
the case of commercial farms. These estimates are on the basis of the memory of the
respondents, and therefore need to be interpreted carefully and not generalized.
Table 5.11 Distribution of households according to milk animal herd size
SizePercent of households
North West
2 animals 27 26
3-5 animals 26 30
6-8 animals 14 21
9-10 animals 4 9
10-15 animals 21 8> 15 animals 8 6
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Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Table 5.12 Changes in dairy herd size: 1980s and 1990s (1980-2002)
Early 1980s/Start 1990 1995 2002
Northern Region
Small 3 4 3 2
Medium 6 7 8 8
Large 7 9 11 12
Commercial 7 8 12 22
All 6 7 8 9
Western Region
Small 3 4 4 3
Medium 5 5 6 7
Large 8 10 11 13
Commercial 13 14 21 28
All 6 7 8 10
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
The performance of milk animals depends on many factors, such as genetic potential, quality
of feed, availability of animal health and breeding services, and management practices.
Production traits of milk animals play a crucial role and have a profound influence on the costand returns of any dairy enterprise. Important traits such as age at first calving, lactation
length, dry period, and milk yield per animal on different categories of farms are given in
Tables 5.13 and 5.14.
The late maturity of dairy animals, resulting in high cost of rearing animals to the age of first
calving, was one of the major causes for the uneconomic nature of dairying in India. The age
at first calving is governed by biological factors such as age at maturity and conception rate,
which are again influenced by breeding, feeding, management, and environmental factors.
The average age at first calving was higher for buffaloes than for crossbred cattle. In general,
for the study area as a whole, the average age at first calving for buffaloes and crossbred
cattle was found to be 43 and 33 months, respectively, in the northern region; thecorresponding figures for the western region were 45 and 35 months. In general, the age at
first calving of buffaloes and crossbred cows was less in the small and commercial groups of
farms.
The lactation length affects total milk production and, consequently, the returns from dairy
animals. A prolonged dry period puts the dairy farmer at a disadvantage, since the animals
must be fed and taken care of during this period, increasing the cost of maintenance. The
inter-calving period is the sum of in-milk and dry days or the period between two successive
calvings. Short inter-calving periods lead to higher numbers of lactations in the productive
life of animals, which result in higher income from the sale of milk and calves. In some cases,
farmers may choose to extend lactation beyond the economically optimal period due to needfor cash flow or perceived risks associated with calving.
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Table 5.13 Economic traits of milk animals on selected households
Farm Size
Cows Buffaloes
Age at Ist
calving(months)
Lactation
length (days)
Dry
period(days)
Age at Ist
calving(months)
Lactation
length (days)
Dry period
(days)
Northern Region
Small 36 300 85 42 365 120
Medium 40 280 90 41 350 110
Large 34 275 75 43 385 105
Commercial 32 290 60 40 345 115
All Farms 33 287 73 42 352 112
Western Region
Small 34 283 60 39 350 135
Medium 34 276 70 42 339 130
Large 36 278 65 43 335 124
Commercial 35 276 57 44 360 138
All Farms 35 275 63 43 340 134
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
The average lactation length in buffaloes was about 352 days in the northern region and 340
days in the western region. The dry period ranged from 112 days in the Northern region to134 days in the western region. In the case of crossbred cows, the lactation length did not
vary significantly across regions or categories of farms. The average lactation length ranged
from 287 days in the northern region to 275 days in the western region. There has been a
marked decrease in dry periods and inter-calving periods in both buffaloes and crossbred
cows, which may be attributed to improvement in farm-level technological management and
access to breeding services.
The quantity of milk production on a dairy farm does not depend on the total number of
animals in the herd but on the number of animals in milk. The higher the proportion of
animals in milk, the lower the cost of milk production. The proportion of animals in milk was
generally higher in commercial farms than in small and medium-sized farms.
The productivity of milk animals is of vital importance to livestock owners because it has a
direct influence on costs and returns. Therefore, the average milk yield of lactating animals
was worked out (Table 5.14). The average milk yield per day of lactating cows and buffaloes
was higher in the northern region than in the western region. The average productivity of
crossbred cows was significantly higher than that of buffaloes. Commercial farmers have
marginally higher yields in the northern region, while in the western region there were not
large variations across different size groups. One of the reasons for less variation in the
western region could be good networking of cooperatives, which are more beneficial for
small farmers in terms of access to output markets and animal health care facilities. There are
flush and lean seasons in milk production, which differ for cows and buffaloes. The average
productivity during a lean season is substantially lower than during a flush season. The
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average productivity in cows during a flush season was as high as 16 liters in the western
region and 15.2 liters in the northern region.
Table 5.14 Average milk yield per lactating animal in different categories of households
(liters/day)
Farm SizeCows Buffaloes
Peak Average Peak Average
Northern Region
Small 14.6 9.0 101 6.0
Medium 13.8 9.4 9.8 6.7
Large 14.5 10.6 9.6 7.2
Commercial 17.0 12.4 11.8 9.0
All Farms 15.2 10.2 10.1 6.9Western Region
Small 14.1 7.2 8.9 4.6
Medium 15.4 6.8 10.3 4.8
Large 15.2 7.4 10.9 4.8
Commercial 17.6 7.6 11.4 5.2
All Farms 16.0 7.3 10.7 4.9
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
5.3 Milk Production, Consumption, and Disposal Patterns
Milk is an important and comparatively cheap source of nutrition in rural areas of the
country. The smallholder dairy farming system provides a variety of outputs, such as milk,
organic manure, draft power, and cash income. The farmers retain part of the milk for home
consumption (liquid milk and milk products) and sell the rest in the market to get cash
income. The milk production, consumption, and disposal pattern is given in Table 5.15. The
average milk production per household has a direct relationship to farm size. The average
share of milk sold is higher in the western region than in the northern region. The average per
capita consumption of milk per day is higher in the northern region than in the western regionowing to dietary habits. In the western region, some of the farmers sell a large proportion of
their milk to dairy cooperatives and purchase ghee (clarified butter) from them for home
consumption, because when ghee is made through traditional methods at home there is waste
of by-products that can be used in the modern dairy product manufacturing plants. This has
all happened due to the efforts of cooperative organizations in the area. In the western region,
smallholders sell about 88 percent of total milk produced, which is higher than the northern
region (68.2%). Part of this difference might be distress sales due to the need for immediate
cash (based on informal discussion with sample households). The share of milk sold was high
among commercial farms, mainly due to their larger production base and more market-
oriented production objectives.
Table 5.15 Milk production, consumption, and disposal pattern (liters per day)
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Size Production Home consumption Sold % share of milk sold
Northern Region
Small 8.8 2.8 6.0 68.2
Medium 20.5 6.5 13.0 63.4
Large 54.9 7.7 47.2 86.0
Commercial 171.0 6.2 164.8 96.4
All 43.4 6.1 37.3 85.3
Western Region
Small 15.3 1.9 13.4 87.6
Medium 43.7 4.5 39.2 89.7
Large 75.4 5.1 70.3 93.2
Commercial 183.7 4.6 179.1 97.5
All 58.1 4.2 53.9 92.8
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
The average per capita availability/consumption of milk and milk products was much higher
in the northern region (1,016 grams/day) than in the western region (700 gm/day). The
average per capita consumption ranged from 560 grams per day for small households to
nearly 1,100 grams for large households. The average per capita consumption in the western
region was lowest (380 grams/day) among smallholders and highest among commercial
farms (766 grams/day). These consumption estimates might be slightly high, as we could not
get information about quantity of milk and milk products given as gifts to neighbors and
relatives, which is a common practice in rural areas.
Information on the average milk yields on the day before the survey and information about
the prices received by the sample households is summarized in Table 5.16. There was no
significant difference in buffalo milk yield between the northern and western regions, but
there were variations across different sizes of farms. The difference in cow milk yield was
significant between the regions. The average price received by the household for buffalo milk
was about Rs. 11.6 per liter in both regions, while the price received for cow milk was higher
in the northern region. However, this table gives more insights about the organizational
structure of the dairy sector. One of the interesting points that is evident from Table 5.16 is
that smallholders get lower milk prices in the northern region than in the western region. Theexplanation for this could be the strong presence and networking in the western region of
cooperatives, which do not discriminate between small and large producers and procure milk
at a price based on fat and solid-not-fat (SNF) content, irrespective of quantity of milk sold.
In the northern region, the presence of the organized/cooperative sector is very limited and
producers are at the mercy of the unorganized sector, mainly consisting of milk
vendors/dudhias, which give smallholders less bargaining power. One of the importantinferences that could be made from this observation is that in order to protect smallholder
milk producers, farmer-managed organizations and links between producers and processors
through formal or informal contracts should be promoted.
Farmers sell milk to different agencies; important marketing channels are presented in Figure5.1. In the western region, dairy cooperatives are a major agency for procuring milk from
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farmers; however, a small proportion of milk produced is also sold to consumers, sweet
shops, milk vendors/dudhias, and private dairies. The proportion of dairy farmers selling milkto the unorganized sector is quite high and accounts for a large share of marketed surplus in
the northern region. We investigated the reasons for selling to a particular agency. The
household was asked to rank the first three important reasons for selling milk to a particular
agency, and weights were assigned per the importance of the reason (most important = 3;second important = 2; least important = 1). An index was constructed on the basis of these
weights. The results are given in Table 5.17. Dairy farmers in the northern region cited price
as the most important reason for selling milk to a particular agency, followed by timely
payment. In the western region, regular procurement (2.45) was the most important factor in
choosing the marketing agency, followed by timely payment (2.33) and provision of animal
health and breeding facilities (2.12). One of the important points is that farmers in the
western region did not consider the price received as an important factor. Other, less
important, reasons given by households for selling milk to a particular agency were correct
measurement, pricing based on fat and SNF, provision of credit, and advance payments.
Table 5.16 Productivity levels and prices received by farmers
SizeBuffalo milk Cow milk
Yield (lit./day) Price (Rs./lit.) Yield (lit./day) Price (Rs./lit.)
Northern Region
Small 5.8 11.26 8.4 7.50
Medium 6.1 11.18 8.7 8.29
Large 6.7 11.94 11.7 8.56
Commercial 8.2 13.16 13.1 8.58
All 6.9 11.63 12.3 8.29
Western Region
Small 5.7 11.28 8.8 7.40
Medium 5.6 11.22 8.9 7.45
Large 5.9 11.64 9.5 7.50
Commercial 6.7 12.88 10.7 7.72
All 6.1 11.61 9.8 7.48
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Figure 5.1 Milk marketing channels
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Farmers were also asked about their future plans to increase milk production. Fewer than half
the farmers in the northern region planned to increase milk production, while the proportion
of households planning to increase milk production in the western region was very high
(82%) (Table 5.18). There, the proportion of farmers reporting plans to increase milk
production had an inverse relationship to the size of household, which might be due to
relatively large herd size among the large and commercial farmers in the study area. Farmers
who had plans to increase milk production were asked to give three important ways to
increase milk production, and an index was constructed. In the western region, feed andfodder availability is a factor in expanding milk-production activities (2.36), followed by
better management practices (2.27). In the northern region, farmers had plans to increase milk
production through better management, and their preference for buffaloes was quite evident
(Table 5.19). Farmers in the study area had good milk animal breeds, so breed improvement
does not seem to be an important issue in either region.
Table 5.17 Reasons for selling to a particular agency
Remunerati
ve price
Timely
payment
Regular
procurement
Pricin
g on
fat &SNF
Correct
measurement
Provisio
n ofservices
Provisio
n ofcredit
Advanc
e
payment
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Northern Region
Small
Farms
3.00 2.83 1.50 1.87 1.71 - - 1.35
Medium
Farms
2.83 2.72 1.30 1.58 1.83 1.00 - 1.06
Large
Farms
2.85 2.53 1.05 1.92 1.85 - - 1.06
Commerci
al
2.76 1.00 2.45 - 1.88 - - 1.33
All Farms 2.81 2.65 1.17 1.80 1.82 1.00 - 1.17
Western Region
Small
Farms
2.25 2.37 2.32 1.54 1.00 2.27 1.03 -
MediumFarms
1.50 2.27 2.52 1.50 1.33 2.24 1.04 -
Large
Farms
1.71 2.46 2.45 1.24 1.00 2.04 1.15 -
Commerci
al
2.33 2.14 2.69 1.18 - 1.87 1.25 -
All Farms 1.92 2.33 2.45 1.44 1.00 1.12 1.09 -
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Table 5.18 Households' plan to increase milk production (%)
Response Small Medium Large Commercial All
Northern Region
Yes 57 52 45 38 48
No 43 48 55 62 52
Western Region
Yes 84 90 79 60 82
No 16 10 21 40 18
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
Finally, farmers were asked to rank the three most important constraints in dairy farming they
had experienced, and an index was constructed for different farm categories. The constraints
were categorized into technological, marketing, institutional, infrastructure, diseases, feeds,
and environmental constraints (Table 5.20). In the western region, shortage of feed-
particularly fodder-turned out to be the most important constraint (2.40), followed by
institutional constraints (2.20) and incidence of animal diseases (2.12). In the northern region,
technological constraints were the most important (2.71), followed by institutional constraints
(2.40), and infrastructure (2.39). The institutional and infrastructural problems were mostly
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related to the quality of infrastructure and institutional services in general and public sector
utilities in particular. Environmental issues were at the bottom of the list.
Table 5.19 Ways to increase milk production
SizeBetter
breed
Increasing # of
crossbred cows
Increase innumber of
buffaloes
More feeds
& fodders
Better
management
Northern Region
Small 1.61 1.85 1.89 1.38 2.16
Medium 1.66 1.89 2.04 1.50 2.14
Large 1.56 1.75 2.19 1.50 2.00
Commercial 1.30 1.73 3.00 1.33 1.89
All 1.53 1.83 2.06 1.43 2.07
Western Region
Small 1.79 2.22 1.86 2.41 2.31
Medium 1.20 1.95 1.40 2.06 2.30
Large 1.31 2.08 - 2.13 2.30
Commercial 1.26 2.43 1.00 2.55 2.00
All 1.32 2.18 1.67 2.36 2.27
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003
Table: 5.20 Constraints perceived by farmers in dairy farming
Size Technologic
al
Marketin
g
Institution
al
Infrastructur
e
Disease
s
Feed Environmenta
l
Northern Region
Small
Farms
2.76 2.56 2.52 2.44 2.23 2.10 0.99
Medium
Farms
2.64 2.13 2.27 2.23 2.25 2.03 1.10
LargeFarms
2.73 2.15 2.30 2.46 2.21 2.00 1.42
Commercia
l
2.70 2.01 2.46 2.43 2.16 2.40 1.74
All Farms 2.71 2.28 2.40 2.39 2.22 2.14 1.39
Western Region
Small
Farms
2.12 1.83 2.04 2.13 2.08 2.40 0.99
Medium
Farms
2.07 1.59 2.22 1.94 2.14 2.25 0.99
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Large
Farms
1.83 1.57 2.39 2.00 2.33 2.41 1.00
Commercia
l
1.82 1.52 2.42 1.98 2.42 2.77 1.63
All Farms 2.02 1.67 2.20 2.03 2.18 2.40 1.07
Source: IIM/IFPRI India Dairy Field Survey, 2002-2003.
5.4 Animal Health, Breeding, and Extension Services
Livestock services come mainly from the State Department of Animal Husbandry,
supplemented by cooperatives, the private sector, and non-government organizations. There
are veterinary polyclinics, veterinary dispensaries, first aid veterinary centers, and mobile
veterinary dispensaries in the country that provide animal health care and breeding facilities.
In addition, certain central and centrally sponsored schemes/projects, such as the IntensiveCattle Development Project (ICDP), provide services to farmers. The veterinary institutions
deliver curative veterinary services for all species of livestock and artificial insemination (AI)
for cattle and buffaloes. All services offered by the department are delivered at the center,
and livestock owners have to take their animals to the center for treatment or for AI services.
All services offered by the department are supposed to be free or subsidized, but a study by
Ahuja et al. (2001) revealed that farmers pay a fairly high price for all these services, and the
quality of the services is poor. Budget constraints have reduced government support to these
institutions for salaries and establishment costs. The Department of Animal Husbandry
spends nearly 95 percent of its annual budget allocations (public funds) on salaries and
establishment costs.
In the northern region, government veterinary hospitals are the most important providers of
animal health and breeding services. Some of the farmers are also getting these services from
the private sector and, to a limited extent, from cooperatives. Farmers are getting information
about prices, markets, and feeding and management practices through personal contacts,
followed by government extension agencies, state agricultural universities, and
traders/intermediaries. In the western region, a majority of the sample households receive
these services from the dairy cooperatives and the State Department of Animal Husbandry; a
few private sector veterinarians supplemented these efforts.