vii.dairy farming vca and potential for expansion of...
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VII. Dairy Farming VCA and Potential for
Expansion of Processed Milk Industry
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VII.1. Dairy Farming and Milk Processing Analysis: Objectives
The purpose of the dairy analysis is to assess the current competitiveness of the subsector
and the main opportunities for maintaining and increasing competitiveness in the future.
To do this, a typical product (production of milk) is analyzed in the following manner:
Examine important issues and trends in the world agribusiness and food market;
Review the structures of the Ethiopian, Tanzanian, Zambian, Chinese and
Vietnamese dairy markets;
Assess the key features, strengths and weaknesses of the existing supply chains
for dairy in Ethiopia, Tanzania, Zambia, China and Vietnam;
Assess the overall economic efficiency of domestic milk production in relation to
world prices (as reflected by production prices in China) using alternative cost
projection scenarios to establish current and medium term competitiveness;
Taking the economic efficiency result as a starting point, analyze the dairy
farming value chain to identify key strengths, weaknesses and opportunities or
needs for investment, expansion or contraction to maintain and increase
productivity and competitiveness of the dairy farming sector at the business
strategy and business process levels; and
Provide possible policy options and recommendations to help stimulate growth
and improve competitiveness in the sector.
VII.2. Product Selection Method
Following a review of the first product screening in which 40 products were selected for
consideration for the value chain analysis and feasibility study, the World Bank (WB)
and Global Development Solutions (GDS)/HQ teams immediately agreed on seven out of
the ten products needed for the analysis. The seven products selected by the teams were
as follows:
1. Apparel:
a. Polo shirt; and
b. Underwear
2. Agribusiness:
a. Milk; and
b. Wheat milling
3. Leather:
a. High-end sheepskin loafers
4. Wood:
a. Windows/French windows and frames
5. Metal:
a. Padlocks.
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To finalize the selection of the remaining products from the wood, metal and leather
sectors, based on the Africa Competitiveness: Phase 1.1 - Preliminary Product Screening
in Ethiopia report (July 2010), the WB and GDS/HQ teams chose six products as
potential candidates to be included in the list of the final ten products to be the target
products for the value chain analysis and feasibility study. The six products included the
following:
1. Wood products:
a. Wooden doors; and
b. Wooden chairs (not upholstered).
2. Leather products:
a. Leather golf gloves; and
b. Sports footwear of leather.
3. Metal products:
a. Metal doors, window-frame (security window frame); and
b. Aluminum doors and windows.
In order to screen the final six products, a product screening survey was developed which
revolved around six factors:
1. Whether these products are currently produced by companies with less than
50 employees;
2. If companies identified in #1 above can be set up with less than US$100,000
in investment capital;
3. The minimum level of skills and know-how required to produce the products;
4. Whether the products produced by the companies in #1 are being exported;
5. Whether products produced by companies in #1 are consolidated by brokers
or other intermediaries for exports; and
6. Whether companies identified in #1 can readily access raw material inputs in
the market to produce the products.
These questions were posed to the wood, metal and leather sector associations in both
China and Vietnam. Following interviews with sector associations, additional interviews
were conducted at the firm level to identify specifically the level of investments and
minimum level of technical skills required for an entrepreneur or existing SMEs to set up
a production operation. These questions were posed to existing operators in China and
Vietnam to identify whether:
Barriers to market entry, particularly from a financial and skills
requirement, were sufficiently low to allow entrepreneurs and SMEs in
Ethiopia to easily establish operations; and
These products are currently being produced by SMEs in China and
Vietnam, and are effectively being sold in local and export markets.
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The product screening survey identified the following products as viable candidates to be
targeted for the value chain and feasibility analysis.
1. Wood product:
a. Wooden chairs (soft wood); and
b. Wooden door (semi-solid).
Although French windows and their frames made of wood had originally been
preselected for analysis, a decision was made to opt to analyze both wooden
chairs and wooden doors. This decision stemmed from the fact that French
windows require glass thus introducing an outside factor that could influence
the manufacturing of the final product. Wooden doors (without glass) and
wooden chairs (without upholstery) are more representative of wood
processing exclusively.
2. Leather products: Leather golf gloves or sports glove of comparable structure
and weight.
3. Metal products: Both the pre-selected products (security window frame; and
aluminum doors and windows) were screened out of the selection due to
various factors including high initial investment requirements. As a result,
further analyses of products identified during the preliminary product
screening were conducted. Interviews with metal sector associations and
enterprises currently operating in China and Vietnam, as well as interviews
with existing operators in the fabricated metal products sector in Ethiopia
identified crown corks (bottle caps) as a viable candidate to be targeted for
value chain analysis. Crown corks currently are produced in four of the five
countries, but Ethiopia continues to import substantial volumes of this product,
including imports from China. As a result, crown corks have been chosen as
the final fabricated metal product to be the focus of a value chain analysis in
the target countries.
VII.2.1. Respective Government Definitions of Small, Medium and
Large Enterprises in Ethiopia, Tanzania, Zambia, China and
Vietnam
Ethiopia: For Ethiopia, the classification of enterprises into small, medium and large
scale depends on a number of variables such as level of employment, turnover, capital
investment, production capacity, level of technology and subsector. Accordingly, the
following scales are referred to the classification of enterprises in the Ethiopian context
(Table 175).
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Table 175: Company Size Classification Structure for Ethiopia
Small Scale Medium Scale Large Scale
Textile and Apparel 5-9 10 – 49 above 50
According to the Central
Statistics Agency (CSA)
Leather 2-10 21 – 50 above 51
Diary 2-10 21 – 50 above 51
Wheat 2-10 21 – 50 above 51
Wood Processing 2-10 21 – 50 above 51
Metal 2-10 21 – 50 above 51
According to Federal
Medium and Small
Enterprise Development
Agency (FeMSEDA)
Sub-sector Remark
Number of Employees
Source: Ethiopia CSA and FeMSEDA
Tanzania: For Tanzania, the classification of enterprises into small, medium and large
scale depends on a number of variables such as level of employment and capital
investment in machinery. The classification cuts across sectors and subsectors of the
economy. Accordingly, the following scales refer to the classification of enterprises in
the Tanzanian context (Table 176). Note that the small enterprise type is most
appropriate for all sectors studied in this analysis.
Table 176: Company Size Classification Structure for Tanzania
Category Employees
Capital Investment in Machinery
(TZS million) Remarks
Micro enterprise 1 - 4 Up to 5 Majority in the informal sector
Small enterprise 5 - 49 5 - 200 Most in the informal sector
Medium enterprise 50 - 99 200 - 800 Most in the formal sector
Large enterprise 100+ 800+ All in the formal sector Source: Tanzania Chamber of Commerce, Industry and Agriculture (TCCIA)
Zambia: Zambia classifies enterprises as micro, small, medium and large based on
several factors including number of employees, annual revenue and capital investment.
The capital investment category is further delineated by whether the firm is engaged in
manufacturing or if it is a trading/services firm. For microenterprises, the minimum
revenue and investment requirements are kept intentionally low in order to encourage
registration, although few microenterprises actually register.
Table 177: Company Size Classification Structure for Zambia
Classification Employees
Annual Revenue
(ZMK million)
Capital Investment for Manufacturing
Firms (ZMK million)
Capital Investment for Trading/ Services
Firms (ZMK million)
Micro < 10 < 20 < 10 < 10
Small 10 - 50 150 - 250 80 – 200 150
Medium 51-100 300 - 800 200 – 500 151 - 300
Large > 100 > 800 > 500 > 300
Source: Zambia Development Agency
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China: The China government is challenged in defining sizes of firms. Temporary
definitions have been used for the past several years, and the government promised to
revise the standard in 2010. The definition from the National Bureau of Statistics of
China is complex. The definition was published in 2002 jointly by the Ministry of
Finance, National Bureau of Statistics of China, State Economic and Trade Commission
(no longer exists), and China Planning Commission, which has since split and exists as
the State Development and Planning Commission (SDPC) and the National Development
and Reform Commission (NDRC). A simplified presentation of the company size
classification is shown in Table 178. Note that the Industrial type is most appropriate for
all sectors studied in this analysis.
Table 178: Company Size Classification Structure for China
Type Index Unit Small Medium Large
Employee person Less than 300 300-2000 More than 2000
Revenue million RMB Less than 30 30-300 More than 300
Asset million RMB Less than 40 40-400 More than 400
Employee person Less than 600 600-3000 More than 3000
Revenue million RMB Less than 30 30-300 More than 300
Asset million RMB Less than 40 40-400 More than 400
Employee person Less than 100 100-200 More than 200
Revenue million RMB Less than 30 30-300 More than 300
Employee person Less than 100 100-500 More than 500
Revenue million RMB Less than 10 10-150 More than 150
Employee person Less than 500 500-3000 More than 3000
Revenue million RMB Less than 30 30-300 More than 300
Employee person Less than 400 400-1000 More than 1000
Revenue million RMB Less than 30 30-300 More than 300
Employee person Less than 400 400-800 More than 800
Revenue million RMB Less than 30 30-150 More than 150
Lodging and
Catering services
Industrial
Construction
Wholesale
Retail
Transportation
Post services
Source: National Bureau of Statistics of China
Vietnam: A small firm has less than 50 laborers, while a medium-size firm has 51-200
laborers. Within the small-size and medium-size classifications, there are some detailed
categories depending on the purpose of research and management. For instance, a firm
with less than 10 laborers is called a super small-size firm. Such a regulation is in line
with Social Insurance Law.141
VII.2.2. Product Technical Specifications
Following the identification of products to be targeted for the value chain and feasibility
analysis, a detailed technical profile of each product with an accompanying diagram or
141
Information garnered from
http://laws.dongnai.gov.vn/1991_to_2000/2000/200004/200004280005_en/lawdocum
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photograph was complied and sent to the field teams to help ensure that product data
collection in the field focused on products with similar - if not identical - technical
specifications. Table 179 below provides the product technical specifications for all ten
products for which product data are being collected.
Table 179: Product Technical Specifications
Material
Product WeightUnit of
measureUnit of measure
1 Golf gloves 85 - 141 grams Men's medium Sheepskin
Loafer 780 grams Heel Width Insole
Size US = 8 EU = 7 2.5 10 30
3 Padlock* 760 grams 7 7 NA* cm Brass
Thickness Diameter Height
0.24 31.9 6.6
Width Depth Height
45 45 75
Width Depth Height
80 4 210
Protein Lactose Ash Vitamins Fat content
3.5% 4.7% 0.8% B1, B2, C and D Full
Type (German) Type (French) Ash Protein Moisture
550 55 <0.65%approx.
11%<14.5%
9 Polo shirt 250 - 270 grams 100% cotton
10 Underwear 80 - 100 grams80% cotton/
20% spandex
* Overall height is 14 cm with a 2 cm shackle diameter
** The weight of the cover (plastic sole made from PVC) in the internal surface of the cap is 290 mg
Source: Global Development Solutions, LLC
Pine
Wheat or rice
Dimension
All purpose flour
cm
Refer to diagram
Weight
cm
mm
cm
tin free steel
(tfs)
Sheepskin
Pine
mg
kg
kg
liters
Refer to picture
Crown cork
(metal bottle
cap)**
Wooden chair
Wooden door
Milk
Milling
290
6.5
12
0.5
2
4
5
6
7
8
VII.3. Global Dairy Market
Milk, cream, butter, yogurt, whey, cheese, curd and other fats and oil derived from milk
are major traded items of dairy products. As per the International Trade Center statistical
classification, bird eggs, natural honey and edible products of animal origin also are
categorized under dairy products. However, in line with the objective of this project,
only milk and items derived from milk are discussed in the global context.
Market Trend (dairy products): Global dairy products exports attained the highest value
of almost US$66 billion in year 2008 and declined by 23 percent to US$51 billion in
2009 due to the global economic crisis. Germany, France, the Netherlands and New
Zealand are the leading exporters of milk-based dairy products taking 14.8 percent, 12.3
percent, 10.4 percent and 10 percent share of the global export market in 2009,
respectively. The top 15 leading exporters of dairy products are depicted in Table 180
below.
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Table 180: Leading Exporters of Dairy Products (US$000)
Exporters
Exported
value in 2005
Exported
value in 2006
Exported
value in 2007
Exported
value in 2008
Exported
value in 2009
World* 41,735,244.00 44,216,956.00 57,116,930.00 65,916,347.00 50,705,779.00
Germany 6,460,539.00 6,694,985.00 8,701,813.00 9,478,290.00 7,546,085.00
France 4,976,386.00 5,166,797.00 6,407,499.00 7,379,108.00 6,222,644.00
Netherlands 4,575,071.00 4,783,913.00 5,839,885.00 6,907,739.00 5,291,299.00
New Zealand 3,636,970.00 4,019,908.00 5,522,132.00 6,562,975.00 5,039,892.00
Belgium 2,331,576.00 2,342,068.00 3,152,309.00 3,451,169.00 2,854,797.00
Denmark 1,896,231.00 1,913,751.00 2,182,325.00 2,569,032.00 2,231,401.00
Australia 1,824,027.00 1,793,304.00 1,991,550.00 2,207,709.00 1,649,985.00
United States of America 1,104,548.00 1,291,545.00 2,216,986.00 2,994,458.00 1,600,284.00
Ireland 1,346,874.00 1,485,011.00 2,011,706.00 2,096,018.00 1,518,627.00
United Kingdom 1,171,677.00 1,182,222.00 1,467,952.00 1,459,051.00 1,128,983.00
Poland 1,067,661.00 1,090,347.00 1,514,884.00 1,717,809.00 1,005,814.00
Belarus 482,180.00 604,159.00 907,082.00 1,091,214.00 1,005,546.00
Spain 761,572.00 732,879.00 988,990.00 983,409.00 795,668.00
Czech Republic 410,201.00 515,450.00 736,702.00 820,539.00 620,657.00
Uruguay 244,576.00 256,495.00 330,791.00 427,099.00 367,050.00 *The world aggregation represents the sum of reporting and non reporting countries
Source: Compiled by Global Development Solutions, LLC based on COMTRADE statistics
With regard to the import of milk-based dairy products, the global import value registered
in 2008 was the highest, attaining US$63.5 billion of which 10.6 percent was taken by
Germany. Global imports declined to US$50 billion in 2009, of which 10.8 percent was
attributed to Germany. Following Germany, the leading importers of dairy products are
Italy, United Kingdom, France, Belgium, the Netherlands and Spain (Table 181 below).
Table 181: Leading Importers of Dairy Products (US$000)
Importers
Imported value
in 2005
Imported value
in 2006
Imported value
in 2007
Imported value
in 2008
Imported value
in 2009
World* 41,230,318.00 44,360,533.00 56,785,335.00 63,560,431.00 50,076,141.00
Germany 4,371,232.00 5,109,350.00 6,239,325.00 6,780,742.00 5,399,677.00
Italy 3,429,134.00 3,522,257.00 4,344,569.00 4,530,316.00 3,757,446.00
United Kingdom 2,803,634.00 2,971,422.00 3,258,023.00 3,701,589.00 3,104,112.00
France 2,282,771.00 2,496,713.00 3,238,226.00 3,352,358.00 2,994,652.00
Belgium 2,561,186.00 2,655,454.00 3,391,395.00 3,519,763.00 2,863,168.00
Netherlands 2,479,985.00 2,594,766.00 3,294,395.00 3,189,479.00 2,415,336.00
Spain 1,683,609.00 1,742,003.00 2,371,870.00 2,627,416.00 2,050,562.00
United States of America 1,524,925.00 1,495,084.00 1,611,553.00 1,679,550.00 1,431,660.00
Russian Federation 940,481.00 858,756.00 1,151,955.00 1,464,038.00 1,160,979.00
China 458,110.00 558,261.00 743,989.00 861,703.00 1,027,992.00
Mexico 1,093,826.00 968,964.00 1,576,319.00 1,402,875.00 989,451.00
Greece 742,246.00 778,363.00 981,625.00 1,121,257.00 927,876.00
'Saudi Arabia 989,371.00 1,020,373.00 1,253,144.00 1,326,422.00 821,379.00
United Arab Emirates 389,714.00 478,440.00 571,197.00 814,572.00 803,263.00
Czech Republic 271,778.00 335,252.00 471,411.00 528,708.00 476,414.00 *The world aggregation represents the sum of reporting and non reporting countries
Source: Compiled by Global Development Solutions, LLC based on COMTRADE statistics
The aggregated export and import value of LDCs accounted for 0.11 percent and 2.5
percent of the global market in 2009 respectively.
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In 2009 the total aggregate value of LDC dairy products exports was US$58.8 million, of
which Yemen, Senegal and Zambia were the leading exporters, exporting products worth
US$17.9 million, US$12 million and US$12.4 million, respectively (Table 182).
Table 182: Leading Exporters of Dairy Products of LDCs (US$000)
Exporters
Exported value
in 2005
Exported value
in 2006
Exported value
in 2007
Exported value
in 2008
Exported value
in 2009
World* 41,735,244.00 44,216,956.00 57,116,930.00 65,916,347.00 50,705,779.00
Least Developed Countries
(LDCs) Aggregation 37,411.00 24,098.00 53,677.00 43,321.00 58,855.00
Yemen 10,359.00 10,465.00 15,449.00 22,453.00 17,942.00
Senegal 7,489.00 10,167.00 8,252.00 6,822.00 12,798.00
Zambia 8,143.00 269.00 2,145.00 1,405.00 12,388.00
Nepal - - - - 1,764.00
Togo 6,722.00 - 4,756.00 676.00 1,008.00
Uganda 236.00 305.00 638.00 4,616.00 671.00
Bangladesh 226.00 42.00 730.00 66.00 651.00
Malawi - 20.00 24.00 145.00 329.00
Burkina Faso 9.00 - - - 212.00
Afghanistan - - - 177.00 157.00
United Republic of Tanzania 437.00 355.00 529.00 1,738.00 154.00
Ethiopia 74.00 106.00 68.00 97.00 123.00
Mozambique 21.00 8.00 38.00 45.00 93.00
Guinea 23.00 - 7.00 110.00 82.00
Guinea-Bissau - 3.00 16.00 - 57.00 *The world aggregation represents the sum of reporting and non reporting countries
Sources: Compiled by Global Development Solutions, LLC based on COMTRADE statistics
The aggregate value of milk-based dairy products imported stood at US$1.25 billion.
Yemen, the leading importer of dairy products among LDCs, imported a total of
US$186.7 million, which is 14 percent of the LDCs‘ aggregate import total in 2009.
Angola, Senegal, Bangladesh and the Sudan are the other leading importers following
Yemen (Table 183 below).
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Table 183: Leading Importers of Dairy Products of LDCs (US$000)
Importers
Imported value in
2005
Imported value in
2006
Imported value
in 2007
Imported value
in 2008
Imported value in
2009
World* 41,230,318.00 44,360,533.00 56,785,335.00 63,560,431.00 50,076,141.00
Least Developed Countries
(LDCs) Aggregation 817,818.00 907,863.00 1,068,265.00 1,284,822.00 1,249,463.00
Yemen 177,270.00 150,958.00 208,473.00 223,821.00 186,721.00
Angola 68,281.00 122,972.00 110,094.00 169,933.00 144,614.00
Senegal 87,834.00 100,370.00 113,093.00 146,857.00 138,497.00
Bangladesh 89,515.00 89,424.00 149,046.00 122,432.00 122,295.00
Sudan 48,499.00 62,202.00 - 50,256.00 93,226.00
Democratic Republic of the
Congo 32,788.00 43,583.00 47,634.00 48,955.00 48,616.00
Haiti 27,559.00 46,391.00 42,249.00 54,895.00 43,745.00
Mauritania 13,615.00 - 58,189.00 58,167.00 42,921.00
Cambodia - - - 2,657.00 36,135.00
Myanmar 51,105.00 36,056.00 49,136.00 54,644.00 32,325.00
Maldives 13,852.00 17,078.00 18,938.00 24,254.00 21,683.00
Mali 16,912.00 29,920.00 27,225.00 33,575.00 27,351.00
Mozambique 19,932.00 29,945.00 46,137.00 19,407.00 21,812.00
Djibouti 19,348.00 20,454.00 20,942.00 20,900.00 19,237.00
Lao People's Democratic
Republic 9,617.00 9,496.00 13,114.00 15,592.00 17,020.00 *The world aggregation represents the sum of reporting and non reporting countries
Source: Compiled by Global Development Solutions, LLC based on COMTRADE statistics
VII.4. Comparative Sector Profile: Dairy Sector
Key Indicators: China is a major producer of dairy products, particularly as the country
faces rapid change in dietary habits especially among urban consumers. In general, urban
consumers in China have increased the share of calories in their diet that comes from
animal fats and proteins, and decreased their intake of carbohydrates. This shift in
dietary habit is reflected in the steady growth of the dairy sector, which now produces
over US$29 billion worth of dairy products. In the top 10 percent income bracket in
China, fresh milk consumption has increased over 300 percent in the past decade.
As for Ethiopia, the country has one of the largest livestock populations in all of Africa
and also is a major exporter of cattle to the Middle East. In 2008, Ethiopia exported
nearly 300,000 live animals (primarily cattle), as well as over 6,000 tons of meat products
(US$56 million). In some respects, the revenue potential of the livestock and meat export
subsector is undermining the development of the dairy sector, particularly among
smallholder dairy where farmers place emphasis on the number of marketable animals
rather than the milk producing potential of the herd. This generally is reflected in the low
male-to-female cattle ratio in Ethiopia (<1.2 in Ethiopia as opposed to >6.5 in China).
Thanks to its abundant livestock, particularly cattle, Ethiopia is essentially self-sufficient
in milk; there are no imports. In 2009, 3.28 billion liters were produced valued at US$1.1
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billion. Domestic demand over the past several years is just shy of production and 100
percent of the balance is exported to Somalia. In 2009, for example, out of the total
production, only 320,122 liters (less than 0.01 percent) were exported to Somalia.
Tanzania has one of the largest livestock populations in Africa after Sudan and Ethiopia.
An estimated 1.7 billion liters of milk are produced each year in the country. At the
going market rate for fresh milk of US$0.27 per liter in 2011,142
the farmgate value of
milk in Tanzania is estimated at US$450 million per year. According to official statistics,
the contribution of livestock in general to Tanzanian economy is an estimated US$800
million to US$1,200 million per year.143
As the production data indicates, the dairy sector is not as well developed in Vietnam
where total production and imports are approximately the same.
Table 184: A Snapshot of the Dairy Sectors in China, Vietnam, Ethiopia, Tanzania and Zambia
Key Comparative Indicators China Vietnam Ethiopia Tanzania Zambia
Total Production (Value) 29,450,322,733$ 530,225,356$ 1,118,518,519$ $453,000,000 NA
Total Imports (Value) 892,667,190$ 539,780,000$ -$ $8,449,252 5,021,905$
Total Exports (Value) 51,402,368$ 156,700,000$ 106,944$ $1,105,951 241,693$
Companies Operating in the Sector 12,903 1,670 151,355 203 6,128
Small 35.0% 43.4% 99.8% 64% 94.6%
Medium 40.0% 55.1% 0.2% 15% 4.9%
Large 25.0% 1.5% 0.0% 21% 0.5%
Est. no. of workers in the sector 9956316 54794.5 697793 43,792 57,200
Male 73.0% 75.5% 77.0% 73% 97.9%
Female 27.0% 24.5% 23.0% 27% 2.1%
Global Development Solutions, LLC; UN Comtrade
Notes for Tanzania:
a. Total production value based on the estimated 1.7 billion liters of milk produced in 2009 valued at an estimated US$0.27/liter.
b. Companies operating in the sector does not include an esimated 150,000 household keeping improved dairy cattle. Number
includes all formal agribusinees/food companies in Tanzania with 10 or more people employed.
Policy and Regulatory Environment: All the countries have a range of tariffs, which are
not particularly restrictive. Vietnam is subject to the Common Effective Preferential
Tariff (CEPT) scheme which on average has come down to as low as 2.3 percent, and
producers in Ethiopia are impacted by COMESA rules, plus import duty that ranges from
18 - 30 percent.
As for taxes and levies, the normal VAT and income tax (depending on the type of
business) exist in all three countries. Perhaps most notable is the rebate structure in
China where milk and cream received a rebate of 15 percent on VAT, but this is
calculated on the total production cost rather than on the raw material.
142
As of February 2011; data on the actual value of marketed milk in the country, at retail prices, is not
collected by authorities in Tanzania. 143
Tanzanian Ministry of Livestock and Fisheries Development, ‗Livestock Development Programme‘,
2010.
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Table 185: Comparative Policy and Regulatory Environment for the Dairy Sector
Milk, cream, yogurt
(regular) 40%
Milk and cream, not concentrated
or sweetened (Preferential) 15% Import duties (COMESA) 18% - 30% ECA External Tariffs (non-COMESA origin): All dairy 7%
Milk, cream, yogurt
(preferential) 10%, 15%
Milk and cream, not concentrated
or sweetened (CEPT) 5% Customs duty 10 - 30% Wheat 10%
Milk and cream, concentrated or
sweetened (Preferential) 15% Maize 50%
Milk and cream, concentrated or
sweetened (CEPT) 5% Wheat/meslin flour 60%
Buttermilk, yogurt, kephir etc,
flavored etc or not (Preferential) 15%
Cereal flours other than
wheat/meslin 25%
Buttermilk, yogurt, kephir etc,
flavored etc or not (CEPT) 5% Milk 60%
Cream/yoghurt sweetened 25%
Most other processed foods 25%
VAT 3% or 17% VAT 10% Income tax 0 - 35%;30% VAT 18% VAT 16%
Income Tax 25% Income Tax 28% Value Added Tax 15% Income tax 30% Income tax 0%
Other tax 7% Other tax 0% Provident fund Tax 10% Presumptive Turnover Tax 1.1%-3.3%
Business tax 55 ~ 155 USD Salary Tax 0 - 35%
Export tax n.a Excise tax 10 - 100% Export levy (tax) - cashew nuts 15%
Licence fee 1% 2% Surtax 10%
Turn over tax (TOT) 2%, 10%
Dividend tax 10%
Royalty tax 5%
Capital gains tax 30%;15%
WHT (Withholding Tax) 3%
Milk and cream 5% None None None None
Milk and cream
(paid 17% VAT) 15%
Subsidies
Tanzania Zambia
Taxes
and LeviesExcise duties
Wine, soft
drinks,
Tariffs
China Vietnam Ethiopia
Source: Global Development Solutions, LLC
VII.5. Dairy Farming in Ethiopia
Of the 9.9 million milking cows in Ethiopia, more than 30 percent are pastoral and found
in the lowlands of Ethiopia. These cattle and the milk they produce fall outside the
supply chain to the consumer. In many areas, there are social taboos against selling milk.
The majority of the commercially available milk comes from smallholder farms
organized into cooperatives in the highland regions. As seen in Table 186 below, the
local breed has an average yield of 1.3 liters/day, and produces a milk of high fat content
(approximately 4.5 – 5.0 percent).
About 450,000 crossbreed cows with significantly improved yields have been obtained
by artificially inseminating local cows with sperm from imported Holstein-Friesian
bulls.144
For optimal genetics, the calves are bred to have up to 75 percent of the
imported bulls‘ genes. These cows have an improved yield averaging 12 liters/day, and
have lactation periods of up to 300 days compared to 239 for the local cows.
144
Cows courtesy of Land O‘Lakes Ethiopia Dairy Development Program
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Table 186: Comparison between Local and Crossbred Cows
Attributes Local Cow Crossbred Cow
Fat composition 4.5 - 5.0% 3.5 – 3.7%
Lactation period (days) 239 300
Milk Yield (L/day) 1.3 12 Compiled by Global Development Solutions, LLC
The consumer perception of the quality differences in milk between the local and
crossbred cow is not known, and milk from both cows enters the supply chain without
any differentiation.
VII.5.1. Dairy Cooperatives
The Government of Ethiopia has created several cooperatives, administered by the
Directorate of Cooperatives, to manage the agricultural sector. These co-ops provide
technical and marketing support. The dairy sector is organized into 318 primary co-ops,
whose members are small landholder farmers. Of these, 145 co-ops receive support from
USAID through the Land O‘Lakes Ethiopia Dairy Development Program. The program
trains farmers on feed management and animal husbandry to improve milk yield and
quality. Not all dairy farmers are, however, part of cooperatives, and many sell their milk
directly to households, especially in the cities.
The laudable goal of the co-ops and Ethiopia Dairy Development Program is to improve
yield and increase production of high quality milk, thereby improving the income of
farmers. As seen in Table 187, the average yield of Ethiopian cattle (combination of
local and crossbreed) is among the lowest in the world. The efforts of the co-ops are
directed at training farmers in feed management and access to veterinary and artificial
insemination services.
A typical co-op can have around 1,000 farmers, with only about a third being active in
milk production at any given time. Depending on the geographical region, and spread of
the farmers, a co-op owns and operates about 15 - 20 milk collection centers staffed by 1
- 3 technicians who determine the quality of incoming milk using a lactometer and then
disburse payments to farmers. 145
The distance between the farmer and the collection
center can range from 2 to 20 km. The average distance between the collection center
and the co-op is about 3.5 km.
145
Lactometer is used to measure the specific gravity of milk, which indirectly measures the amount of
milk solids (fat, sugars and protein) and any dilution of the milk with water. Readings on a lactometer
range from 15 to 40 and correspond to the 2nd
and 3rd
decimal of the specific gravity. For example, the s.g.
of unadulterated milk at 4C is 1.032 and a lactometer would read 32. The higher the reading, the greater
the solids content. Milk that is diluted with water will have a lower reading.
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Table 187: Average Raw Milk Yield per Cow146
Country Kg/year
Canada 9,500
United States 8,235
Japan 7,400
European Union 6,000
Australia 4,906
New Zealand 3,700
Mexico 1,397
India1 750
Ethiopia2 390/3,600
Tanzania 200/3,600
Zambia3 300/>5,0001 More than half the yield is from buffalo2 Indigenous cows yield approx 1.3 kg/day; Improved crossbred
cows yield 12 kg/day3 Indigenous cows (smallholder cattle keepers) yield approx
1 - 1.5 kg/day; friesian (commercial farms) yield up to 18 kg/day Compiled by Global Development Solutions, LLC, based on data from Global Dairy Trade and Land
O’Lakes Ethiopia
Milk is collected in 50-liter aluminum jugs and transported un-refrigerated. The total
time from milking at the farm to the point of final sale to a consumer or processor ranges
from 2 to 5 hours. Some co-ops have cold storage and additional dairy processing
capability to pasteurize milk and produce butter, cheese and yogurt. Co-ops market the
milk and dairy products to supermarkets, dairy processors, retailers, schools, households
and other commercial establishments. In addition, the co-ops provide other services as
seen in Table 188. Table 189 presents membership and sales figures for a typical
cooperative.
Table 188: Services Provided by Dairy Cooperatives
Milk Collection and Sales
Artificial Insemination Service
Animal Health Care and Veterinary Services
Feed Supply
Male Calves Fattening Program
Training on Farm Management
Training on Saving and Credit System
Compiled by Global Development Solutions, LLC
146
300 milking days assumed.
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Table 189: Representative Dairy Cooperative, Debrezeit
Total Members 998
Active Members 300
Milk Collected (liters/day) 6,100 – 8,500
Distance from Addis Ababa 45 km
Milk Price at Collection Center (ETB/liter) 5.00
Milk Sales Price (ETB/liter) 5.75 for 3,000 liters to preferred dairy
6.5 for all other customers
6.25 for direct sales from co-op
Compiled by Global Development Solutions, LLC
VII.5.2. Supply and Demand of Milk
One of the challenges faced by dairy cooperatives is the inability to sell all the milk
produced by farmers. The reason for this is twofold – fluctuating demand over seasons
and sub-par milk quality.
While much is being done to increase the supply of milk and improving overall quality,
very little is done on the demand side. Ethiopia ranks among the lowest in the world in
per capita dairy consumption of raw milk (see Table 190) and value added products such
as butter, cream and cheese.147
Dairy is not an integral part of the cuisine (with the
exception of the local cottage cheese, ayib), and approximately 200 days of the year are
fasting days during which Orthodox Christians (about 60 percent of the population) do
not consume dairy products.148
147
World Health Organization recommends individual consumption of 200 liters/yr. 148
Among Ethiopian Orthodox Christians, ―fasting‖ is the term used to denote abstinence from all meat
product (including dairy) consumption. Only plant-based foods are consumed by observing Christians
during these days.
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Table 190: Milk Consumption around the World
Country/Region Kg/capita/year
Europe 318
US/Canada 284
Oceana 195
Latin America 128
Asia 48
Africa 25
China* 26.8
Ethiopia 17
Tanzania** 41
Vietnam* 6
Zambia* 5.8
* 2007 data from FAOSTAT. Ethiopia listed as 14.1 kg/capita/yr
** Tanzania Dairy Board (19.1 kg/capita/yr according to FAO)
Source: Global Dairy Trade, FAOSTAT, Tanzania Dairy Board
Unfortunately, in neighboring Kenya, with an advanced dairy sector, poor management
of the supply chain has resulted in surplus milk production in early 2010 without the
demand to absorb it. Nearly a million liters of milk and ten metric tons of milk powder
were wasted. The net result has been a drop in the price of raw milk.
The lesson for Ethiopia is that development of the dairy sector cannot be one-sided and
supply heavy. A multi-pronged approach is needed to increase consumer awareness of
the nutritional benefits of milk, thus creating demand for milk and dairy products. The
same can be said for Zambia. As seen from Table 190, Zambia‘s per capita consumption
is less than half that of Ethiopia. Raw milk supply is available but demand is not
adequately high. As such, large processors are cutting out many of the smaller producers.
These small producers are selling their unprocessed, raw milk directly to consumers for
direct consumption.
VII.5.3. Milk Quality
The quality of milk available is affected at two stages: 1) cattle health and comfort during
lactation and 2) quality maintenance from the farm gate to the end-user.
VII.5.3.1 Cattle Health
In Ethiopia, there are only two or three large scale farms with industrialized operations.
These farms presumably have the best cattle care. A small landholder dairy farmer can
have as many as 25 cows cramped in small quarters, although the typical farmer has
about 2 - 5. Managing the cows‘ living environment is very important for cattle health
and producing milk of good quality.
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When a cow is not standing comfortably, she will be stressed. Stress factors include flies,
slippery floors, bad ventilation, small stands and a restless milker. Cow reactions to
stress include kicking off the milking cluster, defecating or refusing milk let-down. Good
milking starts with a consistent milking routine within a well ventilated, comfortable and
safe parlor.
In addition to stress, poor parlor conditions make the animals susceptible to bacterial
infections from contagious pathogens. A high proportion of Staphylococcus aureus
indicates several chronically infected cows. The presence of any Streptococcus
agalactiae results in a mastitis problem.149
With the exception of a few large-scale dairy
processors, no microbial testing of incoming milk is conducted. A lack of awareness and
poor access to veterinary services has led to cows with mastitis continuing to be milked.
The net effect is the loss of nutritional value of milk and a high somatic cell count.150
Mastitis results in several changes in milk composition that affect the quality and value of
milk.
Lactose (milk sugar) synthesis is decreased.
Casein (primary milk protein) proteolysis leads to poor curdling, lowered
cheese yield and bitter taste due to the production of peptides.
Milk Fat – Enzymatic susceptibility of fat causing oxidation and off-flavors.
Using the Wisconsin Mastitis Test,151
the Ethiopia Dairy Development Program found
that the quality of incoming milk at the cooperatives it supports varied widely with a
somatic cell count between 150,000 and in excess of 1.5 million. The milk with high
somatic cell count should be discarded and the cows treated with antibiotics, but in
Ethiopia, poor quality milk continues to slip into the supply chain.
149
Mastitis is the inflammation of the mammary gland (udder) as a reaction of mammary tissue to injury
produced by physical force, chemicals introduced into the gland or most commonly from bacteria and their
toxins. 150
The concentration of leukocytes in cow's milk, also called somatic cell count (SCC), is the best
indication that a cow has mastitis. This is part of the inflammatory process that occurs in the tissue during
infection and is transferred to the milk. The SCC can be determined crudely as used on-site by
veterinarians or other herd health consultants (for example, the Wisconsin Mastitis Test) or by analyses on
milk samples sent to an authorized laboratory. 151
The Wisconsin Mastitis Test is used by milk receiving plants and at milk production sites to measure the
quality of milk. A WMT reading of 8 mm suggests that there are probably very few cows in the herd with
subclinical mastitis. If the WMT reading reaches 20 mm or more, most plants will run a direct microscopic
count to obtain an accurate somatic cell count. If the somatic cell count is 1,500,000 or greater, the farmer
is notified and assistance provided to correct the problem.
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VII.5.3.2 Milk Quality in the Supply Chain
A very common practice world-over is to dilute milk by the addition of water, thereby
increasing overall yield. Due to the poor quality of water supply, this adds another point
of contamination of milk, while also diluting its nutrition value. Testing with a
lactometer and educating the farmer easily overcome this. Dairy cooperatives and
processors currently do this in Ethiopia.
The average time from milking to processing or consumption is 3 hours, and can be as
high as 6 hours. Milk generally is collected in aluminum cans and transported in open
pick-up trucks exposed to the sun. Without refrigeration below 5C, the microbial load
doubles for every 10ºC rise in temperature, resulting in curdling of milk, off-flavors and
production of toxins from pathogenic bacteria. Chilling tanks at milk collection centers,
and refrigerated transport is needed to maintain the quality of milk from the farm gate to
the consumer.
The capital expense for a new chilling unit (tanks and auxiliary equipment) with a
capacity of 5,000 liters is about US$70,000. Used chilling tanks in good repair could be
obtained for as low as US$25,000.
VII.5.4. Cost of Milk Production
Poor management by small landholder farms and high dependence on commercial animal
feed, compounded with low milk yield, results in the cost of production in Ethiopia being
among the highest in the world as seen in Table 191 and Table 192.
Table 191: Average Cost of Production per Kg of Milk152
Country US cents/kg
New Zealand 13.5
Australia 16.0
India 18.9
United States 26.7
European Union 28.9
Ethiopia 37.0153
Compiled by Global Development Solutions, LLC
Table 192: Price of Animal Feed in Ethiopia
Provider Price ETB/100 Kg
Market 400
Co-operative 230
Compiled by Global Development Solutions, LLC based
on data from Global Dairy Trade and Ethiopian dairy farmers.
152
Not adjusted for fat and protein level. 153
Farm gate price ETB5/liter. Exchange rate assumed 1 US$ – 13.5 ETB.
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VII.5.5. Premium Payments for Quality Milk
Currently, farmers receive a flat price – on average ETB5 per liter – for the milk they
produce. Most cooperatives and processors set a minimum standard for lactometer
reading that the milk must meet. Milk that does not meet the standard is rejected.
However, milk that exceeds the standard is not rewarded either.
Farmers are not incentivized to take better care of their cows and produce milk of higher
quality. As seen in the previous sections, there are many factors that influence the overall
quality and nutritional value of milk produced. By offering premium payments for low
somatic cell counts and high solids content (fat and protein), the farmer will see a direct
benefit in investing (operation costs) to manage his farm better, and thus earn a higher
income. This will include feed, living conditions of the animals, and access to health care.
An enterprising dairy processor in Addis Ababa has already instituted a system for
premium pricing that has resulted in an increase in milk yield for the producers, and
higher retail demand for the milk and dairy products (cheese, yogurt, cream and butter)
due to high quality.
Table 193: Milk Quality Differential Pricing
Lactometer
Reading
Price of Milk
ETB/Liter
26 4.00
27 4.5
28 5.00
29 5.75 Compiled by Global Development Solutions, LLC
based on data from Ethiopian dairy farmers.
VII.6. Dairy Farming in Tanzania
Roughly 70 percent of the 1.7 million liters of milk produced each year in Tanzania
comes from 1.6 million households holding an estimated 18.5 million traditional mixed
cattle. The balance of the milk is produced by an estimated 130,000 households with
improved dairy cattle.
About 700,000 improved dairy cows (typically crossbreds) with significantly improved
yields exist in the country. These cows have an improved yield averaging 12 liters/day
(up to 20 liters per day reported from some farms), and have lactation periods of up to
300 days compared to 230-250 for the local cows.
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According to Tanzania Dairy Board, milk consumption in Tanzania is 41
liters/capita/year – over 100 liters per days for Massai pastoralists and under 10 for
drylands.
VII.6.1. Supply and Demand of Milk
As can be seen from Figure 58, the key feature of the Tanzanian dairy market supply
chain is that up to 95 percent of all marketable milk is marketed through informal
channels. Typically, farmers rely on thousands of informal traders (locally referred to as
hawkers) to market their milk.
Trading through informal traders is preferred over the trade through formal collectors
(such as village collection centers or dairy processing plants) because:
1. Informal traders pay in cash upon delivery/reception of milk as opposed to, for
example, 30-day payment delays when dealing with formal dairy processors.
2. Informal traders (equipped with two canisters and bicycles which are sometimes
motorized) generally accept to buy milk even in the most remote areas whereas
formal traders generally buy milk in set collection centers along main roads.
3. Informal traders generally offer farmers higher prices for fresh milk. Even
though milk prices fluctuate widely during dry/wet seasons, informal traders are
reported to pay fresh milk prices as much as 50 percent higher than those of
formal buyers.154
154
Based on author‘s limited sample survey in Morogoro and Dar es Salaam in February 2011. Also for
price and margin variations between traders and urban vs. rural market price differential refer to Market
Mechanisms and Efficiency in Urban Dairy Products Markets in Ghana and Tanzania, International
Livestock Research Institute, Research Report 19.
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Figure 58: Dairy Market and Institutional Support Structure, Tanzania
Formal processors report that the volatility of the milk supply (peak in the wet season and
trough in the dry season) is one of the key bottlenecks in the supply chain. Another
bottleneck is the inability of formal collectors/processors to compete for fresh milk with
the informal traders. Informal traders are able to offer farmers higher price for fresh milk
than formal processors/collectors because of three interrelated consumer market trends in
Tanzania:
1. Raw milk is by far the most popular milk in Tanzania. According to official
surveys, unprocessed fresh milk represents 63 percent and unprocessed sour milk
represents 21 percent of all milk regularly purchased and consumed in
Tanzania.155
While formal processors incur significant post-harvest handling
costs for collecting/cooling, processing and packing milk, informal traders and
vendors can sell fresh and sour milk alike without incurring any major costs other
than transportation. As a result, informal traders/vendors are able to offer higher
purchase prices to farmers.
2. Neither risks from drinking fresh milk of poor quality nor benefits from drinking
clean and pathogen-free processed milk are brought sufficiently to consumers‘
attention in Tanzania. This notwithstanding the fact that most surveys often find
the quality of milk in Tanzanian markets to be quite low. In recent studies,
adulteration with water was found in 20 percent to 60 percent of samples (highest
155
Tanzania Dairy Board, various surveys.
Market structure Institutional Support structure
- Ministry of Agriculture,
Food Security and
Cooperatives
- Ministry of Livestock
Development and
Fisheries
- Tanzania Dairy Board
- Tanzania Food and
Dugs Authority
- Tanzania Milk
Producers Association
- Tanzania Milk
Processors Association
- Veterinary Council of
Tanzania
- Tanzania Society of
Animal Production
- Agricultural and
veterinary colleges
- Micro-finance
institutions
Traditional Mixed
Dairy/Livestock Farm 70% of Milk
1.6 million Households
(18.5 million cattle – mixed)
Dairy
Processing
Plants (46)
Local Market
Cooperative/
Village Collection
Centers (200)
Improved Dairy
Farm 30% of Milk
130,000 Households
(700,000 Cattle)
Household
Consumption
30%
1.7 billion liters/year
Marketable
Milk
70%
Formal Collection
Centers - Processors
Informal Traders
(‘Hawkers’)
(Thousands)
Informal Marketing Channel Formal Marketing Channel
Raw
Milk
Informal
Vendors/Retailers
(Thousands)
95% 3%-5%
Imports
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in Mwanza) and bacterial counts was similarly high (50 percent-67 percent of
samples, depending on site and season, had unacceptable levels of coliform
counts).
3. Aware of the popularity of fresh milk and unpopularity of processed milk,
informal market agents (retail/wholesale vendors and traders alike) are reported
to engage in milk adulteration which in essence gives them higher pricing power
at the farm gate compared to formal milk traders/processors. Typically, these
agents add water to fresh milk especially during the dry season when milk
supplies fall sharply and prices increase at least twofold compared to wet season
prices.156
VII.6.2. Cattle Health
In Tanzania, calf mortality in traditional livestock farms is 30 percent-45 percent.157
In
poultry, mortality is over 60 percent. According to specialists, a combination of factors
such as poor on-farm management, poor hygiene, and underdeveloped extension service
networks are major contributors to such high mortality rates. High mortality rates not
only reduce a farmer‘s ability to expand farms and/or to profit from farming, but it also
pressures farmers to economically exploit all of the cattle stock independent of the
animals‘ health. For example, marketing milk from cows with mastitis is common.
VII.6.3. Premium Payments for Quality Milk
Currently, farmers in Tanzania receive a flat price – TZS300 and up to TZS700 per liter
depending on season and location– for the milk they produce. Most cooperatives and
processors set a minimum standard of 3.5 percent fat content reading. Milk that does not
meet the standard is rejected. Milk that exceeds the fat-content standard is not rewarded.
Somatic cell count standards are equally skewed towards formal buyers. Informal buyers,
by contrast, generally do not set any standard.
VII.7. Value Chain Analysis: Dairy Farming
The cost of producing milk in Ethiopia ranges from US$0.23 to US$0.47 per liter. At the
lower end, this is competitive with the cost of production in China where the cost ranges
from US$0.23 – US$0.28 per liter. Cost of producing a liter of milk in Vietnam is the
most competitive at around US$0.15 – US$0.29 per liter, whereas the cost in Zambia is
the highest of the five countries with a range from US$0.38 – US$0.45 per liter.
156
See Market Mechanisms and Efficiency in Urban Dairy Products Markets in Ghana and Tanzania,
International Livestock Research Institute, Research Report 19 and Survey on Dairy Products Market in
Tanzania, Rural Livelihood Development Company, 2010. 157
Tanzanian Ministry of Livestock and Fisheries Development, Livestock Sector Development Plan 2010.
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Key Characteristics: Perhaps the most notable difference between the countries is the
average yield rate per milking cow. Specifically, with proper animal husbandry, cows in
China are producing at a rate of 20 liters per cow, while in Ethiopia, the yield rate falls
from 7 to 15 liters per cow. Yield rate per cow in Vietnam is also low at around 4.2 –
15.9 liters.
Table 194: Benchmarking Key Variables for Dairy Farming
1.0 Farm
1.1 Male-to-Female Ratio 6.5 - 52.3 0.8 - 1.2 10 - 50
1.2 Average yield rate per milking day (liters/cow) 20.0 - 20.5 4.2 - 15.9 7.0 - 15 2 - 20 8 - 23
1.3 Labor absenteeism rate (%) 0% - 1% 0% - 1% 0% - 5% 0% - 3%
1.4 Average salary/wage/month
1.5 Skilled $177 - $206 $30 - $63 $150 - $300 $106 - $340
1.6 Unskilled $118 - $133 $31 - $78 $13 - $41 $50 - $80 $54 - $181
1.7 Days of operation/month 30 21 - 30 30 30 30
1.8 Average age of major equipment 2.5 - 4.0 5.5 - 8 0.5 0 - 20 1 - 15
2.0 Exported Output (finished primary product)
2.1 Direct Export without consolidator/broker 0% 0% 0% 0% 0%
2.2 Indirect Export Through Local Consolidator 0% 0% 0% 0% 0%
2.3 Indirect Export Through Overseas Consolidator 0% 0% 0% 0% 0%
3.0 Domestically Sold Output (finished primary product)
3.1 Direct Sales to Wholesalers/Retailers without consolidator 100% 0% - 100% 100% 0% - 100% 0% -%100
3.2 Direct Sales Through Own Outlets/Shops/Showrooms 0% 0% - 100% 0% 0% - 100% 0% - 100%
3.3 Indirect Sales Through Local Consolidator/Trader 0% 0% 0% 0% - 100% 0%
4.0 Unit production cost ($/liter) $0.23 - $0.28 $0.075 - $0.293 $0.23 - $0.47 $0.20 - $0.40 $0.38 - $0.45
5.0 Avg Selling Price (US$)
5.1 Farm gate $0.27 - $0.32 $0.38 - $0.39 $0.37 - $0.44 $0.23 - $0.47 $0.55 - $0.64
5.2 Wholesale $0.27 - $0.32 $0.36 - $0.37 $0.33 - $0.60 $0.64 - $1.06
Source: Global Development Solutions,LLC
ZambiaChina Vietnam Ethiopia Tanzania Very few milking cows in overall herd -treat cattle as
Low yield
Poor smallholder on-farm management and high dependence on commercial animal feed, compounded with low milk yield lead to high production cost (similarly for Zambia)
Relatively high selling price in ET due to shortage of
Interviews and field visits clearly indicate that dairy farming in China is established as a
commercial operation where large numbers of cows are managed under a single operation.
Furthermore, the ratio of male-to-female is much higher in China (6 to 52 milking cow
for every bull in China and between 0.8 – 1.2 milking cows for every bull in Ethiopia),
which increases the overall farm output of milk when compared the total expenditure for
feed. This is a dramatic contrast against small scale dairy farming in Ethiopia where the
farmer must feed many more bulls without the benefit of milk output. This is particularly
the case in Ethiopia where livestock and meat trade overshadows the relevance of milk
production.
In addition, the scale of operations between dairy farms in Ethiopia, China and Vietnam
is substantially different. Specifically, the average dairy farm in Ethiopia – as well as in
Tanzania – has less than ten animals, while in China the dairy farms profiled for the study
have hundreds of cows under a single operation. In Vietnam, the average size of dairy
farming operations profiled for the analysis are generally medium in size with less than
200 animals.
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In Zambia, scale ranges from farmers with several cows (the majority of entities are these
smallholders) to large commercial farms with hundreds of milking cows. Regardless of
size, all sell to processors in Zambia. In early 2011, however, some processors were
reducing their number of suppliers due to supply surplus.
Despite these issues, given the low labor input for dairy farming in Ethiopia, the labor
productivity rate (measured in liters of output per person per day) is competitive with
China and certainly with farms in Vietnam. Tanzania and Zambia, however, both show
high ends of productivity to be well beyond that of the other three countries (refer to
Table 195 below) and thus possess high potential for substantially increased milk
production.
Table 195: Benchmarking Key Variables for Dairy Farming (cont.)
China Vietnam Ethiopia Tanzania Zambia
6.0 Avg Spoilage & Reject rate: List different types (3)
6.1 Product rejection at point of delivery 0% - 1% 1% - 2% 5% - 50% 0% - 5%
6.2 Product rejection at factory 1% - 2% 0% - 50% 0% - 3%
7.0 Avg Waste & losses: List different types (% of total )
7.1 Losses due to handling and home consumption 1% 5% - 50% 0% - 1.5%
7.2
8.0 Electricity
8.1 On grid (Cost/kWh) $0.15 $0.41 - $0.54 $0.04 $0.035 - $0.07
8.2 Off grid (Cost/kWh) - self generated $0.03
8.3 % of time off grid/month 0% - 3% 0% - 100% 0% - 12% 0% - 100%
9.0 Water (m³) $0.37 $0.25 $0.12
10.0 Fuel & Oil (liter) $0.77 $0.03 - $0.83 $0.81 $1.15 $1.49
11.0 Productivity and Efficiency
11.1 Labor productivity: liters/person/day 23.5 - 53.1 2.5 - 3.9 18.5 - 71.5 10 - 100 19 - 179
11.2 Electricity usage: On-grid (kWh/1,000 liters) 4.92 - 5.26 126 - 221 107 - 116 - 62.7 - 308
11.3 Electricity usage ($/1,000 liters) $0.67 - $0.78 $6.87 - $9.14 $4.10 - $4.46 7.41$ $2.17 - $10.76
11.4 Water usage (m³/1,000 liters) 2.64 - 5.12 0.55 - 1.67 24 - -
11.5 Water usage ($/1,000 liters) $0.97 - $1.89 $0.03 - $0.41 $2.96 1.85$ -
11.6 Fuel & oil usage (liters/1,000 liters) 1.32 - 3.18 $0.63 - $1.63 5.18 - 5.98 - 6.78
11.7 Fuel & oil usage ($/1,000 liters) $1.01 - $2.44 $0.04 - $0.78 $4.22 39.26$ $8.91 - $10.10
11.8 Transport ($/km-ton) $0.12 - $0.35 $0.14 - $0.16 $0.03 - $0.25 $0.04 - $0.37
Source: Global DevelopmentSolutions,LLC
Labor productivity well within competitive range even with informal nature of daily farming
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Figure 59: Raw Milk Value Chain Diagram, Ethiopia
Figure 60: Raw Milk Value Chain Diagram, Tanzania
Raw Milk Tanzania Unit production cost 0.33 $ per liter
Raw Material Animal Husbandry Milking
Collection/D elivery Admin/OH
49.9% 25.7% 1.7% 9.1% 13.6%
Fodder 100% Labor 39.6% Rent 62.3% Vet/Medicine 13.5% Financing 33.3% Fuel/oil/ water 34.2% Other 4.4% Other 12.8%
Global Development Solutions, LLC
Raw Milk Sululta Ethiopia Unit production cost 0.29 $
Male-to-Female Ratio 0.9 Liters/milking day 7.0 Number of animals 13.0
Raw material Animal Husbandry Milking Collection/ Delivery Admin/OH
27.7% 17.2% 16.4% 19.8% 18.9%
Animal feed 100% Labor 83.6% Prof services 6.0% Fuel/oil/ water 5.1% Admin OH 88.6% Electricity 5.5% License/ certificates 5.4%
Global Development Solutions, LLC Fuel/oil/ water 5.1%
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Figure 61: Raw Milk Value Chain Diagram, Zambia
Figure 62: Raw Milk Value Chain Diagram, China
Raw Milk Guangdong China Unit production cost 0.20 $ per liter Male-to-Female Ratio 19 Liters/milking day 20.5 Number of animals 300
Raw material Animal Husbandry Milking Collection/ Delivery
Admin/OH
79.8% 5.9% 1.7% 7.1% 5.6%
Feed 80.6% Raw material 54.1% Labor 8.1% Feed supplements 14.5% Labor 19.5% Fuel/oil/ water 8.8% Minerals and vitamins 4.8% Fuel/oil/ water 14.2% Transport 75.0%
R & M 8.4% Other 8.1% Global Development Solutions, LLC
Raw Milk Central Province Zambia Unit production cost 0.39 $ per liter Male-to-Female Ratio All female Liters/milking day 23 Number of animals 1,827
Raw material Animal Husbandry Milking Collection/Delivery Admin OH 60.8% 5.2% 1.8% 4.4% 27.7%
Feed 100.0% Labor 60.3% Admin OH 94.8% Prof services 39.7% R & M 2.7%
Global Development Solutions, LLC Electricity 2.0%
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Figure 63: Raw Milk Value Chain Diagram, Vietnam
Raw Milk Binh Duong Viet Nam Unit production cost 0.21 $ per liter Male-to-Female Ratio All female Liters/milking day 11.0 Number of animals 150
Raw material Animal Husbandry Milking
Collection/ Delivery
Admin/OH
67.2% 17.4% 11.4% 3.9% 0.2%
Feed 56.8% Raw material 12.6% Labor 91.4% Feed supplements 40.8% Labor 74.9% Electricity 8.6% Global Development Solutions, LLC