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Analysing Costs and Margins

Page history last edited by Timothy Purcell 14 years, 11 months ago

Tool 6 - Analysis of Costs and Margins

 


Introduction

 

Before deciding to enter a new market or business a person must first determine which business is the most profitable for them. This is particularly important for poor people who have limited resources and so cannot afford to choose the wrong market or sector. Revenues, costs and margins of value chains should therefore be compared (both different marketing channels and different product chains), but also the potential for scaling up and the required investments should be investigated.

 

After the value chain has been mapped the next step is to study certain aspects of a value chain in depth. There is a wide choice of aspects that can be further elaborated upon. One of these is costs and margins. The cost is the money that an actor in the value chain contributes, while the margin is the money that an actor in the value chain receives, minus the costs.

 

Analysis of costs and margins enables the researcher to determine how "pro-poor" a value chain really is. Actual costs and margins should be considered when a researcher aims to find out whether a value chain is a good source of income for the poor and whether a value chain is accessible for the poor. Historic costs and margins, on the other hand, enable a researcher to find out what the financial trends have been in the value chain and whether the chain has potential to grow in the future.

 

Take Note

There are two types of growth. The first is economic growth. This type of growth potentially results in higher absolute incomes for all actors in a value chain. The second type is called pro-poor growth. This type of growth generates relatively greater improvements in income and wealth for the poor. Hence in a pro-poor value chain intervention, growth benefits the poor relatively more than it does other actors in the value chain.

 

Objectives

 

Knowledge of costs and margins of actors in a value chain enables a researcher to understand:

 

  1. Costs of entry: identify how operating and investment costs are currently distributed over the actors in the value chain in order to conclude whether it is possible for the poor to enter the chain: if operating costs or investment costs for starting up a business are high it may be a problem for the poor to join the value chain
  2. Distribution of costs and margins: identify how revenues and margins are currently distributed over the actors in the value chain in order to conclude whether actors and particularly the poor can increase margins in a value chain. In other words, is it possible to upgrade the position of the poor in the chain by making the chain more efficient (decrease costs) and effective (increase value)?
  3. Change in costs and margins: see how costs and margins in a chain are changing over time in order to predict future growth or decline of the chain. As some costs increase or decrease (e.g. petrol costs), so will margins decrease or increase. Therefore, a sector that might seem to be profitable now is not necessarily profitable next year
  4. Value chain comparison: compare profits of one chain with profits in another chain to see if it would be worthwhile to change chains
  5. Performance benchmarking: compare the practice in the selected value chain to an industry standard or a best practice in order to improve the effectiveness and efficiency of the selected chain. In other words, try to find out why a value chain in area A is less profitable than the same chain in area B and draw lessons from it. If there is time the success factors of value chains in other sectors could also be studied. This process is called benchmarking.

     

Take Note

The main goal of studying costs and margins is to increase the margin per product unit. However, this does not always reduce poverty: if a poor farmer increases their profit margin per unit, but sells fewer products, then the absolute income may decrease. Therefore, researchers should always combine cost and margin analysis with analysis of total revenues or income per actor. More information on income is presented in Tool 7 - Analysing Income Distribution.

 

Key Questions

 

The key questions that need to be answered by the researcher in order to achieve this section’s objectives are:

 

  1. What are each actor’s costs (both fixed and variable costs) and what are the required investments for entering a value chain?
  2. What are each actor’s revenues in the value chain? In other words, what are each actor's sales volumes and selling prices?
  3. What are each actor’s net profit, margins and break even point? 
  4. How are investments, costs, revenues, profits and margins changing over time?
  5. How are investments, costs, revenues, profits and margins divided between the actors in the value chain?
  6. Are the costs and margins of this value chain lower or higher compared to other product value chains? In other words, what are the opportunity costs of employing production resources for this particular value chain?
  7. Are the costs and margins of this value chain lower or higher compared to similar value chains in other places?
  8. What are underlying causes of the division of costs and margins in a value chain?

 

Steps

 

Step 1     Opportunity costs or financial costs?

 

Cost and margin analysis of a value chain is only useful if producers (farmers or whomever) are treated as micro-entrepreneurs (i.e. small commercial actors seeking the most profitable use of their limited resources in the marketplace) rather than as subsistence actors. In order to use this type of analysis effectively, it must be recognised that there are important differences between the way economics and accounting treat costs that should guide both analysis and decision-making in pro-poor value chain development.

 

Economists tend to look at opportunity costs, which are the costs of employing production resources (labour, capital, land) in a particular way, rather than pursuing alternative business options. Opportunity costs are useful in evaluating what alternative uses of resources could generate the most income and wealth for producers.

 

Accountants tend to consider financial costs, the monetary expenditures that an actor in the chain incurs in carrying out an activity, and which are usually found in any accounts (formal) or records (informal) being kept by the actor. Financial costs usually do not consider the alternative uses for resources.

 

Many farmers, if asked why they shifted from one crop to another in a given season, will report that they thought that they could make more money. They are thinking about the relative attractiveness of different options. They may or may not consider all of the costs involved. For example, the additional labour required for a new crop or the possibility of renting out land instead of growing on it. Good value chain analysis should try to reveal the real opportunity costs faced by farmers because these affect choices that producers will make about what to produce for a given season.

 

In order for value chain practitioners to reveal the real costs of participation in a value chain, cost calculations throughout the chain value chain should take into account opportunity costs for farmer and family labour, the use of land, and capital.

 

This means assigning a realistic estimated (imputed) value to the value chain participant’s (and their family’s) time, land, and capital that is dedicated to the activity. If these values are not assigned, analysis will unintentionally treat each of these as free resources, distorting the true picture of cost, profitability, and sustainability for value chain upgrading. This is particularly important when small producers hope to move towards more commercially-oriented participation in value chains.  Guidelines for incorporating these values into cost calculations appear in the box below.

 

Terminology: Opportunity Costs

 

Opportunity cost for labour. The opportunity cost for labour is a measure of employing scarce labour resources in a chosen activity. For family labour this is generally equal to the cost incurred if a person is employed to do an activity normally carried out by a family member. Alternatively, it is the income the family member would lose by not hiring himself out to carry out an activity on someone else’s farm and instead doing the same activity on his own farm.

It is important to realise that there can be a seasonal variability in the opportunity cost of labour. In a rice production area the opportunity cost for a family member for weeding could be zero (or close to zero) if there is no alternative weeding activity for the farmer to be employed in because of a low labour demand on other farms. Conversely, at times of transplanting and harvesting, when there is a high labour demand and therefore the option of being employed in these activities on other farms, there can be a significant opportunity cost associated with labour. 

Opportunity cost of land. The commonly used opportunity cost of land is the return on leasing the land to another producer (or for another use) instead of the farmer producing a crop on it themselves.

Opportunity cost of capital. The opportunity cost of capital is the interest rate that one would receive from a bank or microfinance institution (MFI) when one has an account with such an institution, or the interest that one would receive for lending to an individual.

 

Tool 6 - Box 1: Opportunity cost of choosing different cropping systems 

A good example is provided by Laotian farmers in Viengkham district, Luang Prabang province. Farmers in this area were used to monoculture and were cultivating rice only once a year. As the demand for other crops was growing farmers became interested in crop diversification and growing a second product. The farmers could choose between maize, soybeans or sesame. To make the right decision farmers had to consider how much money they would lose (the opportunity costs) by choosing one crop, for example maize, over the other two crops, in this case sesame or soybeans. To help the farmers a simple cost/benefit analysis was carried out. The conclusion was that on average farmers would get the highest returns on soybeans (2.7 million Kip per ha) followed closely by sesame (2.6 million Kip per ha). For maize, the return was only 0.5 million Kip per ha. 

 

One has to be careful though, not to jump to the conclusion that soybeans or sesame would therefore be the best choice for the farmers. For example, it should be noted that in the above analysis labour, mostly family labour, was not included, and it depends on the labour resources available to the farmer whether or not soybeans or sesame are really an option for him or her. Also to be considered is the deployment of other resources such as land use and capital. Is the land suitable for the production of soybeans or sesame (e.g. soil type, availability of water)? Does the farmer have the capital required to invest in the production of these crops? Only if such questions are also answered a recommendation on what would be the best alternative for the farmer can be formulated.

Source:[1]

 

Warning

When various alternatives are compared, as in the above example of soybean vs. maize, and one of these shows the highest returns (i.e. soybean), it does not necessarily mean that soybean is the better alternative for a smallholder farmer. Soybean is less drought resistant than maize, so depending on rainfall patterns the farmer could be taking a higher, and possibly even unacceptable, risk by choosing to grow soybean rather than maize. All of the risks associated with each option should be clearly analysed before choosing new activities.

 

Step 2     Calculating costs and required investments 

 

The second step is to identify what the costs of an actor’s activities are. Often only the Operating Costs (Variable and Fixed) and Investment Costs are considered. However, other cost types such as transaction and regulatory costs, as shown in Table 1, should also be considered. Opportunity costs should be included among the appropriate fixed and variable costs; for example, when calculating labour, land, and capital costs.  

 

Not all costs are easily categorised into fixed, variable or other costs, and there is not always a right or wrong category for costs. Assumptions should be made based on the real needs of value chain development, not based on abstract theories. Regardless of which choice is made, try to be consistent throughout the analysis.

 

Tool 6 - Table 1: Examples of costs in a value chain  

Operational Costs

Transaction Costs

Regulatory Costs

Investment Costs

Variable Costs

Fixed Costs 

 

Formal

Informal

 

·      Costs of inventory sold

·      Wages related to production 

·      Other direct production expenses including losses 

 

 

 

 

·     Salaries of non productive staff 

·     Office supplies 

·     Insurance 

·     Legal and accounting fees 

·     Travel 

·     Utilities 

·     Rent 

·     Repairs and maintenance 

·     Depreciation 

·     Marketing expenses 

·     Finance expenses (interest and bank charges)

 

 

 

·      legal costs to have contracts checked by a lawyer 

·      information costs for traders: costs incurred to obtain information on which commodities are available, where, and in which volumes, and from whom (trustworthiness) – telephone costs, time spent on driving around in rural areas on the motorcycle, etc 

·      lack of grading standards resulting in increased risk of paying to high a price for the actual quality purchased

·      business licensing 

·      levies 

·      grading (external to the value chain, e.g. legally imposed certification)

 

 

 

 

·      grading (internal to value chain)

 

 

·      Principal

·      Interest

 

 

 

 

Warning    Accuracy of Data

It may not always be possible to obtain accurate figures on costs, for example production costs from farmers, because they may not keep accurate records.

 

Data may sometimes have to be calculated in an indirect way, e.g. by asking a trader how much time (hours/day, number of days) and funds (distances covered per day, means of transport) they spend collecting information and establishing contacts (‘information costs’) without actually performing any transactions.

In both cases it will be necessary to interview a large sample of a group of actors to obtain approximations of such costs. Even then, it may still be necessary to cross-check information collected this way with other sources of information, e.g. industry sources.

Care should be taken to gather further information where required. For example, a farmer may indicate that they spend 30 days on harvesting the crop, while further questioning would reveal that the actual time spent on harvesting on these days is from 06.00 to approximately 10.00 hours, or half days only. The actual number of labour days for harvesting is therefore only 15 days.

 

It is also important to realise that certain cost types may vary significantly throughout the year. This means that information collected at a certain point in time may not reflect the actual costs. For example, the costs for collecting the crop usually increase once the rains have started because shorter routes become impassable meaning that travel time to both collect and transport crops increase.

 

 

Operating costs can be divided in two cost types: variable costs and fixed costs:

 

A.     Variable costs, or costs of goods sold, are costs that change in direct relationship to the level of production in a given production or sales cycle. Variable costs are the costs that are relevant to economic decision-making in the short run. Examples of variable costs in agriculture include fuel, fertiliser, seed, chemicals, animal feed, veterinary medicines, and water. More complex examples include the cost of extension staff employed by a company in accordance with the number of outgrowers that are contracted for in a given season, or the hiring of occasional labour for harvesting or planting.

 

In the case of cattle raising variable costs include, amongst others, food and vaccinations. If a farmer has ten cows and decides to raise two more cows he needs proportionally more food and vaccinations for the two new cows.

 

Take Note

Instead of simply adding the totals for each of the variable or fixed costs, it can be worthwhile to assign relevant cost types to different activities performed by the same actor. For example, the costs for per diems and fuel for extension officers employed by a company contracting smallholder farmers under an outgrower arrangement could be separated over (i) the recruitment and contracting of farmers; (ii) training activities in accordance with the production cycle (e.g. nursery management, land preparation and transplanting, field management, pest and disease control, harvesting, and post-harvest handling); and (iii) marketing of the produce. Another example is given below.

 

Delivery and processing of the milk produced by the cows could take place in two stages; for example, through one of a series of milk collection centres, from where the milk is transported to the central dairy plant for further processing.  Various costs (variable and/or fixed in this example) should be assigned to each of the milk collection centres or to the dairy plant to better understand how each of these cost centres is performing. When relating the actual expenditures with the amount and quality of milk leaving each of the milk collection centres it is possible to identify which of the milk collection centres are under-performing. It may then be possible to identify remedy the bottlenecks.

 

Tool 6 – Table 2: A virtual example of costs for milk collection centres and dairy plant.The costs are presented as percentages of the total cost for each expense.  

 

 

Vehicle O&M

Telephone & Postage

Utilities

Rental

Payroll

Office

Bank        Charges

Equipment

Milk collection centre A

3%

5%

4%

 

10%

15%

 

15%

Milk collection centre B

2%

5%

3%

 

5%

10%

 

15%

Milk collection centre C

2%

5%

3%

 

5%

10%

 

15%

Dairy plant

93%

85%

90%

100%

80%

65%

100%

55%

 

Most variable costs are easy to calculate as they change with the same proportion as the output.  However, there are some exceptions, for example transportation costs. These do not always change in proportion with the volume traded. A 25 ton truck can, for example, transport 25 tons of bamboo, but also 10 tons and, over short distances, even 40 tons. Transportation costs per ton of bamboo therefore vary depending on the total amount of bamboo that is transported. If real costs are not known a researcher needs to make assumptions on the average costs. The following example explains how to calculate transport costs.

 

Tool 6 - Box 2: Example of calculating transport costs 

Assume that there are 20 m3 of space available in a truck and that it costs $500 to hire the truck. A container of 0.2 m3 holds 10 kg of cucumbers and a container of 0.5 m3 holds 15 kg of chili peppers.

Then the transport cost for cucumbers per container and per kg is ...

$500 ÷ (20 m3 ÷ 0.2 m3) = $5.00 per container


and
$5.00 ÷ 10 kg = $0.50 per kg

 

While the transport cost for chili peppers per container and per kg is ...

$500 ÷ (20 m3 ÷ 0.5 m3) = $1.25 per container


and
$1.25 ÷ 10 kg = $0.125per kg

  

Source: [2]

 

Another cost that is often ignored is the cost of losses. Particularly if products are perishable, such as many fresh products, a certain amount of the traded products will usually be lost. The example in Box 3 below shows how losses should be calculated.

 

Tool 6 - Box 3: Calculating costs on losses

Assume 15% of the product is damaged and lost. This means that 1 kg of cucumbers purchased by a trader results in 850 g (0.85 kg) available for sale to consumers. The trader buys cucumbers farmer at $6 per kg and marketing costs are $1.50 per kg. The selling price of cucumbers is $9 per kg.

The costs are

1 kg purchased at $6 per kg = $6.00
1 kg packed and transported at $1.50 per kg = $1.50
_________________________________________
Total Costs = $7.50


Sales Revenue $9 x 0.85 kg = $7.65
Thus the margin to the trader = $0.15

_________________________________________

 

Below is an example of the more typical, and wrong, method of calculating margins.

1 kg purchased at $6 per kg = $6.00
1 kg packed and transported at $1.50 per kg = $1.50
15 percent losses or $6 x 0.15 = $0.90
__________________________________________
Total Costs = $8.40


Sales Revenue or $9 x 1 kg = 9.00
Thus the margin to the trader = $0.60

The second calculation is wrong because the trader is obtaining revenue from produce which has already been lost.

 

 Source:[3]

 

B.     Fixed costs on the other hand are costs that are independent from the size of production.

 

In case of the cattle example, fixed costs are items such as investments in stables and land. Even though the farmer decides to raise two more cattle, there is usually no immediate need to buy additional land or build a new stable. Other fixed costs examples are depreciation (replacement) costs, capital costs (interest on long-term loans) and in more advanced businesses promotion costs, stationeries and office personnel (not related to the primary production process).

 

Take Note

As fixed costs do not change with the size of production there is a risk that certain costs are not acknowledged or reported by actors in a value chain. Also, certain costs apply to more than one product. For example, a cattle raiser may also raise pigs that are kept in the same stable. The costs for the stable should therefore be split between the cattle and the pigs. If not, the costs taken into account by the researchers may be too high, or too low.

 

Investment costs are explored through analysing a value chain actor’s required capital for starting up his business. In formal accounting, investment costs are considered a type of fixed cost, but in pro-poor value chain development, they should be analysed as a key potential obstacle to entering and participating in a value chain.

 

In other words, what assets does an actor need to possess (through buying or renting) to be able to run his business? Finding this out is important in judging whether a value chain is accessible for the poor. For example, a food value chain may require high quality standardised products that cannot be produced manually. This means that expensive machines are required for entering this market, so even though a farmer produces the right raw material the market is not accessible. A complete picture of investment costs is also relevant for calculating depreciation costs.

 

Take Note

Depreciation means the wearing out of capital goods, such as machines and equipment, which need to be replaced after a while. To be able to pay for replacements companies should save money. The costs of these are called depreciation costs. However, as depreciation costs are not expenses they decrease income but not cash money. Quite understandably poor farmers and micro enterprises usually do not calculate depreciation costs. They need all their income to survive.

 

Once all the different cost types have been calculated it is possible to present the figures in a table, which may have the following format.

 

Tool 6 – Table 3: An example of presenting cost compilation across actors in the value chain 

Cost Type

 

Actor 1

 

Actor 2

 

Actor 3

 

Actor 4

 

Operating Costs - Variable

 

 

 

 

 

 

 

 

Operating Costs - Fixed

 

 

 

 

Investment Costs

 

 

 

 

Transaction Costs

 

 

 

 

Regulatory Costs - Formal

 

 

 

 

Regulatory Costs - Informal

 

 

 

 

Total Costs

 

 

 

 

 

Step 3     Calculating revenues per actor

 

After the costs per actor have been calculated, the revenues need to be identified. Revenues are calculated by multiplying the volume sold (Q) with the selling price (P) and, subsequently, by adding additional sources of income, such as revenues of selling the production waste of a product. Revenues = (Q * P) + other sources of income.

 

An example of this last source of income is in the bamboo sector, where leftovers are used for producing paper pulp or fuel.

 

Prices differ per marketing channel or per market segment and sometimes per grade or per quantity sold. Prices can also change over the season. Prices can even vary during one single day, like in many fresh vegetables markets. Therefore, surveys should include questions related to what the prices in different markets, for different products and during the different seasons, are. For calculating average prices, these should be weighted. An example of how to do this is provided in Box 4 below

 

Tool 6 - Box 4: An example of calculating the weighted average selling price. 

Assume an example involving a consignment of 200 kg of cucumbers as follows ...

100 kg sold at US$2.00 = US$200
40 kg sold at US$1.40   = US$  56
40 kg sold at US$1.00   = US$  40
10 kg sold at US$0.40   = US$    4
(10 kg which cannot be sold)
__________________________________________
Total Revenue        = US$ 300


The average selling price per kg is

US$2.00 + US$1.40 + US$1.00 + US$0.40 + US$0.00 = US$0.96

while the weighted average selling price is

US$300 ÷ 200 kg = US$1.50

Source:[4]

 

Take Note

The price a producer receives for his crop may vary according to the volume he has for sale. For example, a trader looking to buy 1 ton of a commodity would be willing to pay a better price if he can purchase it all from a single farmer. He will pay less if he has to purchase 100 kg of the same quality from ten different farmers as he will incur more costs in collecting, i.e. the trader has a higher transaction cost; see Table 1.

 

When studying a market over a longer period of time, for example over a ten year period, it is necessary to incorporate inflation and deflation rates. To do this, a base year, against which all prices are adapted, needs to be chosen. If this is too complicated a researcher should at least mention that there had been inflation or deflation in order to make a reader aware of the situation.

 

Take Note

During interviews many different cost and price units might be used. For example, handicrafts producers sometimes refer to their production volume in pieces, sometimes in tons and sometimes in containers. This can particularly be confusing when the study is conducted by more than one person. It is important to either agree upon which unit of measurement is used, or to determine how many units fit into one container or ton.

 

Step 4     Calculating financial ratios

 

Now that the investments, variable, fixed and/or other relevant costs, and revenues are known the financial position of the value chain actors can be analysed. Several ratios can be looked at, such as:

 

A.     Net Income

 

Net income, or profit, is calculated by deducting total costs (both variable and fixed costs) from revenues.

 

Net income = revenues – variable - fixed costs

 

For example, in the hypothetical case of a shoe manufacturer who sells 10,000 pairs of shoes (Q) per month for 100,000 VND (P) per pair the revenues would be: 10,000 (P)* 100,000 (Q) = 1,000,000,000 VND. As the total costs for material, labour, rent, depreciation on the machines and tax are 800,000,000 VND per month his net income would be 200,000,000 VND per month.

 

B.     Net Margin - Currency

 

Net margin: a margin on a product is the net income per product. This is calculated by dividing the net income of the manufacturer by the total number of products sold (Q).

 

Margin = Net income / Q

 

In the case of the shoes manufacturer the margin per product would be:

 

200,000,000 VND net income / 10,000 shoes= 20,000 VND per pair of shoes

 

This is a simplified example and in reality there may be other costs. An example of a rice farmer’s costs, revenues and margins is presented under Useful Examples -  Example 2.

 

C.     Net Profit Margin - Percentage

 

Net profit margin per unit is usually expressed as a percentage. In this case, net profit margin =  unit profit/unit price. 

 

For the shoe manufacturer: 20,000 VND / 100,000 VND = 0.20 or 20% net profit margin.

   

D.     Break Even Point

 

The break-even point shows how much an actor has to sell before he starts making profit. In other words, the point at which his revenues are more than his costs 

 

Break-even point = Fixed costs / (P-Variable Costs) = the number of units

 

For example, assume:

 

§           Total fixed costs of the shoe manufacturer = 500,000,000 VND per month

§           1 pair of shoes is sold for 100,000 VND (P)

§           Variable costs per pair of shoes = 60,000 VND

 

To calculate the break-even point:

 

500,000,000 /(100,000-60,000) = 12,500 units (pairs of shoes)

 

E:     Return on Investment

 

Calculating the return on investment (ROI) for each actor in the value chain shows how attractive the activity is relative to other potential uses of capital.

 

ROI= Net Income/ Total Cost 

For example, the shoe manufacturer's net income is 200,000,000 VND per month, and his total costs, including material, labour, rent, depreciation on the machines and tax are 800,000,000 VND per month.  ROI would, then, be 200,000,000 VND /800,000,000 VND, or 25% for that period.

 

Basic ROI calculations can be correctly performed only if, as in example A, realistic depreciation of fixed assets is calculated, and if producers' own labour costs are counted among variable costs of production. If an enterprise's total capital costs are attributed to a single year's production, more capital intensive activities will look much less profitable, while if "imputed" labour costs are omitted from the calculation of variable costs, ROI from labour intensive activities will appear to be much higher.

 

Step 5     Changes over time

 

All the above aspects should be considered over time. What may look like a valuable value chain today may be invaluable next year. In other words, a researcher should study the trends of a value chain and consider the implications of these trends for the future. For example, to date Vietnamese traders who trade on a small scale have small margins on the products they sell. Over the past few years the cost for petrol has increased significantly and margins of small-scale traders have been decreasing. This means that small-scale traders need to either increase the scale of their business or find another source of income.

 

Another example can be taken from the commodity product market. Usually, when a country develops and people earn higher incomes, the demand for and hence revenues from commodity products, such as rice and maize, increase rapidly. As a consequence many farmers start growing these products and existing farmers intensify their production. The demand however only grows up to the point that people have sufficient food because people can only eat a certain amount of rice and maize. After that point, when supply exceeds demand, prices and hence revenues go down, and farmers may need to diversify their production.

 

Step 6     Relative financial position of actors in the value chain

 

In this step the division of investments, costs, revenues, net income (or profit) and margins among the actors in a value chain are considered. The aim of this step is make conclusions about the financial position of an actor compared with other actors in the chain.

 

There are several ways to present the financial position of actors in a value chain, for instance in a table or through a diagram.

 

In Table 4 and Table 5 an example of how to calculate the value added margins and profits along a chain is given. Table 4 gives the formulas used to do the calculation and Table 5 provides a worked example. The calculations appear difficult, but are easily implemented in an Excel Worksheet

 

Tool 6 - Table 4: Calculation of marketing margins – Formulas for calculating ratios

Value Chain Actor

Costs

Revenues

Profits

Margins

Unit Total Cost

Added Unit

Cost*

% Added Cost

Unit Price

Unit Profit

% Total Profits

Unit Margin

% Retail Price

Farmers

A

-

A/F

G

G-A

(G-A)/(K-F)

G

G/K

Assemblers

G

B

B/F

H

H-B-G

(H-B-G)/(K-F)

H-G

(H-G)/K

Processors

H+C

C

C/F

I

I-C-H

(I-C-H)/(K-F)

I-H

(I-H)/K

Traders

I+D

D

D/F

J

J-D-I

(J-D-I)/(K-F)

J-I

(J-I)/K

Retailers

J+E

E

E/F

K

K-E-J

(K-E-J)/(K-F)

K-J

(K-J)/K

Total

 

 

F=A+B+C+D+E

100

 

 

K-F

100

K

100

*Added unit costs refer to the added costs at each stage of production net of the procurement cost from the previous stage.

 

Tool 6 - Table 5: Calculation of marketing margins - example of presenting a calculation of value chain margins  

Chain Actor

Costs  

 

Profits 

Margins 

 

Unit Total Cost

Added Unit Cost

% Added Cost

Unit Price

Unit Profit

% Total Profits

Unit Margin

% Retail Price

Farmer

20,000

20,000

29%

25,000

5,000

9%

25,000

20%

Assembler

32,100

7,100

10%

37,500

5,400

10%

12,500

10%

Trader

39,185

1,685

2%

50,000

10,815

19%

12,500

10%

Processor / Retailer

89,873

39,873 

58%

125,000

35,127

62%

75,000

60%

Total

 

68,658

 100%

  

56,342

  100%

125,000

 100%

Source:[5]

 

The diagrammatic presentation of the value chain margins is shown in the figure 1 below.

 

 

Source:[6]

Tool 6 - Figure 1: Value chain margins for the actors in each level of the value chain as a percentage of the overall value added 

 

A visual way to show the division of costs and margins is to include the cost and margin data in the value chain map; see Box 5. A similar map can be also drawn up for presenting the investments per actor.

 

Tool 6 - Box 5: Revenues, costs and profit per unit in the value chain of 1 litre fish sauce (Quality 2) 

Sale Price 5.025 VND 5,728 VND 10,000-12,000VND 11,000 VND 12,000-14,000 VND
Cost 4,250 VND        
Profit 775 VND        
% Profit 18%        
% Added Costs 40%        

Source:[7]

 

After data has been presented a researcher can start the analysis. In Figure 1, for example, it may be evident that the farmer shares high costs and has little profits, while the trader has little costs and relatively high profits. This suggests that costs and margins are shared unequally in the value chain and could be an intervention point for a project. One such intervention might be scaling up the business of an actor in a chain in order to make the business more attractive for the actor. A good example comes from the bamboo sector in Vietnam. Currently most bamboo growers sell whole bamboo culms to paper, chopsticks and bamboo flooring enterprises. These enterprises cut the bamboo culms and subsequently only use part of the culms for processing.  Leftovers are usually used as waste or in some cases as fuel.  If farmers were to cut the trees themselves and sell only the relevant parts to each buyer, they could receive higher profit margins.

 

Take Note: Carefully consider TOTAL costs and revenues

Presenting the total costs, revenues and profits per actor per year (instead of simply presenting cost per unit) shows the scale of an actor’s business. This is important because if only the profit per unit is considered an actor might appear to have an unfair share as they make only a small profit per unit. However, looking at the actor’s total profit per year may demonstrate that the actor actually earns a reasonable income. This is often the case with commodity products, such as corn. Commodities often have low profit margins per unit, but because they are sold in large quantities the total profit per year can still be financially attractive.

 

Step 7     Benchmarking

 

Comparing similar value chains in different regions will provide information on the potential for efficiency gains. For instance, rice farmers in Northern Vietnam spend 1 million VND on inputs per ha, while their counterparts in the central highlands only spend 500,000 VND per ha. This could mean that prices for inputs are different (which would provide an opportunity for market entrants) or that farmers in Northern Vietnam use too many inputs. A situation like this provides an opportunity for the farmers to learn from each other’s production techniques, although it is important to ensure that all units are the same before making comparisons.

 

Step 8     Going beyond the quantitative data

 

The final step in the costs and margins section is to go beyond the quantitative data and explore why certain actors in the chain have higher margins and lower costs than others. Is this the result of one actor investing more in a value chain than another actor? Is it the result of an unequal power distribution between actors (see Tool 3 - Governance: Coordination Regulation, and Control)? Does one actor have better access to market information because he or she has better linkages to the market than another actor?

 

What Should be Known after Analysis is Complete

 

Having followed all of the steps related to costs and margins the financial situation of actors involved in the value chain should be clear and strengths and weaknesses related to costs and margins of an actor and / or a value chain can be summarised. After that the constraints and needs of a value chain can be identified and interventions can be designed.

 

Useful Examples

  

Tool 6 - Example 1: Cotton crop budgets for smallholder farmers in Zambia

  

The rain-fed smallholder cotton sector in Zambia had several years of stagnant yields of 600 kg/ha or below which was often attributed to a lack of fertilisers. A private sector company aimed to increase cotton yields of their contracted smallholder outgrowers through rolling out an extension programme focussing on the five key basic principles of cotton crop husbandry: early land preparation, early planting, thinning and gap filling to obtain an optimum plant stand, timely weeding, and an integrated pest management (IPM) approach to pest and disease control.

 

Without the use of fertilisers, and with the same amount of labour input, yields were greatly improved. As shown in the table below, non-collaborating farmers (NCF) achieved yields of 537 kg/ha on average, while collaborating farmers (CF) under the programme achieved yields of 902 kg/ha on average. Lead farmers (LF), who were more actively and directly supported by extension staff employed by the private sector company as intermediaries to reach the large numbers of collaborating farmers, achieved yields of 1,281 kg/ha. On closely monitored farmer-managed demonstration plots average yields of 1,892 kg/ha were achieved, showing the further potential for increased yields.

 

With 50,000 farmers benefiting from the programme in the first two years, and assuming an average yield increase of 400 kg/ha at USD 0.35/kg, the total benefits accruing to the farmers amounts to USD 7,000,000 per annum, against an investment in the programme of under USD 2,000,000.

 

Tool 6 - Table 6: Cotton crop budgets for smallholder farmers in Zambia

Inputs/Activity

Manual labour

Animal draught power

Family labour (man days)

Family (man days) /Hired (ZKW)

Own ox-span Family/Hired labour

Hired ox-span Family/Hired labour

Seed 15 kg (treated)

 

36,000

 

36,000

 

36,000

 

36,000

Spear (aphicide) - 100 ml

 

15,000

 

15,000

 

15,000

 

15,000

Ha pack of chemicals (standard)

 

115,000

 

115,000

 

115,000

 

115,000

Jacto knapsack sprayer (240,000/6 years)

 

40,000

 

40,000

 

40,000

 

40,000

Credit Cost

 

Inclusive

 

Inclusive

 

Inclusive

 

Inclusive

Subtotal

0

206,000

0

206,000

0

206,000

0

206,000

Land preparation

24

 

1

100,000

1

Ploughing

1

100,000

Planting

12

 

1

50,000

1

50,000

1

50,000

Gap filling

4

 

1

15,000

1

15,000

1

15,000

Thinning

4

 

1

15,000

1

15,000

1

15,000

Weeding 1

24

 

1

100,000

1

100,000

1

100,000

Weeding 2

16

 

1

50,000

1

Cultivator

1

80,000

Weeding 3 (4th weeding if necessary only)

16

 

1

50,000

1

Cultivator

1

80,000

Scouting

2

 

2

 

2

 

2

 

Pesticide applications

3

 

3

 

3

 

3

 

Harvesting - 1st picking (approx. 450 kg)

15

 

2

90,000

2

90,000

2

90,000

Harvesting - 2nd picking (approx. 90 kg)

3

 

1

18,000

1

18,000

1

18,000

Subtotal

123

0

15

488,000

15

288,000

15

548,000

Total man days/cost

123

206,000

15

694,000

15

494,000

15

754,000

  

 

 

 

 

 

 

 

 

NCF Yield 537 kg/ha @ ZMK 1,120

 

 

601,440

 

 

601,440

 

 

601,440

 

 

601,440

Profit

 

 

395,440

 

 

-92,560

 

107,440

 

 

-152,560

Return on Family Labour (ZMK/day)

 

3,215

 

-6,170

 

7,160

 

-10,170

  

 

 

 

 

 

 

 

 

 CF Yield 902 kg/ha @ ZKW 1,120

 

1,010,240

 

1,010,240

 

1,010,240

 

1,010,240

Additional man days/cost harvesting (+ 365 kg)

12

 

2

72,000

2

72,000

2

72,000

Total man days/cost

135

206,000

17

766,000

17

566,000

17

826,000

Profit

 

804,240

 

244,240

 

444,240

 

184,240

Return on family labour (ZMK/day)

 

5,957

 

14,367

 

26,132

 

10,838

 

 

 

 

 

 

 

 

 

 LF Yield 1,281 kg/ha @ ZKW 1,120

 

1,434,720

 

1,434,720

 

1,434,720

 

1,434,720

Additional man days/cost harvesting (+ 744 kg)

25

 

4

150,000

4

150,000

4

150,000

Total man days/cost

148

206,000

19

844,000

19

644,000

19

904,000

Profit

 

1,228,720

 

590,720

 

790,720

 

530,720

Return on family labour  (ZMK/day)

 

8,302

 

31,091

 

41,617

 

27,933

 

 

 

 

 

 

 

 

 

 Demo Yield 1,892 kg/ha @ ZKW 1,120

 

2,119,040

 

2,119,040

 

2,119,040

 

2,119,040

Additional man days/cost harvesting (+ 1,355 kg)

45

 

6

270,000

6

270,000

6

270,000

Total man days/cost

168

206,000

21

964,000

21

764,000

21

1,024,000

Profit

 

1,913,040

 

1,155,040

 

1,355,040

 

1,095,040

Return on family labour (ZMK/day)

 

11,387

 

55,002

 

64,526

 

52,145

 Source:[8]

 

Tool 6 - Example 2: Cost, revenues and margins for rice farming

  

Similar to the cotton story, rice production and yields can be improved with the application of improved practices. An analysis of rice yields and practices in the Mekong Delta of Vietnam shows that farmers can increase yields and reduce costs significantly. With only a modest increase in yield (100 VND/kg) and a slightly improved quality (resulting in an increased farm gate price), the main improvements come from a reduction in costs by more optimal use of seed, fertilizer and pesticides. Farmer profits go from 0.74% up to 18.89% with just some slight changes in farming practices. 

 

Tool 6 - Table 7: Costs, revenues and margins for rice farming  

 IInput

 

 

 Units

 

Summer-Autumn Crop - IR64, Can Tho Province, 2001

Farmer Practice

Improved Practice

Quantity

Unit Price

Amount

Quantity

Unit Price

Amount

Seed

 

Kg

200

 2,000 

 400,000 

100

 2,000 

 200,000 

Fertilizer 

Urea

Kg

150

 2,200 

 330,000 

100

 2,200 

 220,000 

DAP

Kg

100

 3,000 

 300,000 

100

 3,000 

 300,000 

Phosphorous

Kg

50 

 2,300 

 115,000 

50 

 2,300 

 115,000 

Insecticide

 

VND

 350,000 

 350,000 

1

 200,000 

 200,000 

Fuel 

Diesel

Litre

60

 5,500 

 330,000 

60

 5,500 

 330,000 

Lubricant

Litre

3

 10,000 

 30,000 

 10,000 

 30,000 

Irrigation

 

VND

1

 50,000 

 50,000 

1

 50,000 

 50,000 

Soil Work

 

VND

1

 320,000 

 320,000 

1

 320,000 

 320,000 

Threshing

 

VND

 320,000 

 320,000 

 320,000 

 320,000 

Other Facilities

  

VND

1

 160,000 

 160,000 

 160,000 

 160,000 

Labour

Cleaning Field

Person

10 

 20,000 

 200,000 

10

 20,000 

 200,000 

Sowing

Person

5

 20,000 

 100,000 

 20,000 

 100,000 

Weeding

Person

30

 20,000 

 600,000 

25

 20,000 

 500,000 

Fertilizing

Person

6

 20,000 

 120,000 

5

 20,000 

 100,000 

Spraying 

Insecticide

Person

 20,000 

 120,000 

4

 20,000 

 80,000 

Pumping Water

Person

13

 20,000 

 260,000 

13 

 20,000 

 260,000 

Harvesting

Cutting

Person 

18 

 20,000  

 360,000 

18

 20,000 

 360,000 

Transporting

Person

 20,000 

 160,000 

9

 20,000 

 180,000 

Drying

Person

8

 20,000 

 160,000 

8

 20,000 

 160,000 

Other Labour

 

Person

12

 20,000 

 240,000 

12

 20,000 

 240,000 

Credit

1% @ 4 months

VND

 50,250 

 201,000 

 29,250 

 117,000 

Total Cost

Materials

VND

 

 

 2,705,000 

 

 

 2,245,000 

Labour

VND

 

 

 2,320,000 

 

 

 2,180,000 

Total

VND

 

 

 5,226,000 

 

 

 4,542,000 

Yield

 

Kg

3900  

 1,350 

 5,265,000 

4000

 1,400 

 5,600,000 

Cost

 

VND/kg 

 

 

1,340 

 

 

 1,136 

Gross Margin 

 

VND/ha 

 

  

 39,000 

 

 

 1,058,000 

Percent Profit

 

 

 

 

0.74%

  

 

18.89%

Source: Data provided by USDA FAS, HCMC, Authorship unknown.[9]

 

 

Links to Other Examples     

 

 

Footnotes

  1. MPDLC (2005 ). Industrial Crops Market Rapid Appraisal Viengkham District. Vientiane, Lao PDR, Micro Projects Development through Local Communities (MPDLC).
  2. NESDB (2004). Training Course on Integrating Value Chain Analysis and Methodologies into Policy Analysis: Value Chains Development Training Project. Khon Kaen, Thailand, Prepared by Agrifood Consulting International for the Northeastern Region Economic and Social Development Office, National Economic and Social Development Board of Thailand: 518.
  3. NESDB (2004). Training Course on Integrating Value Chain Analysis and Methodologies into Policy Analysis: Value Chains Development Training Project. Khon Kaen, Thailand, Prepared by Agrifood Consulting International for the Northeastern Region Economic and Social Development Office, National Economic and Social Development Board of Thailand: 518.
  4. NESDB (2004). Training Course on Integrating Value Chain Analysis and Methodologies into Policy Analysis: Value Chains Development Training Project. Khon Kaen, Thailand, Prepared by Agrifood Consulting International for the Northeastern Region Economic and Social Development Office, National Economic and Social Development Board of Thailand: 518.
  5. NESDB (2004). Training Course on Integrating Value Chain Analysis and Methodologies into Policy Analysis: Value Chains Development Training Project. Khon Kaen, Thailand, Prepared by Agrifood Consulting International for the Northeastern Region Economic and Social Development Office, National Economic and Social Development Board of Thailand: 518.
  6. NESDB (2004). Training Course on Integrating Value Chain Analysis and Methodologies into Policy Analysis: Value Chains Development Training Project. Khon Kaen, Thailand, Prepared by Agrifood Consulting International for the Northeastern Region Economic and Social Development Office, National Economic and Social Development Board of Thailand: 518.
  7. Boomsma, M. (2006). Fish Processing in Quang Ngai Province Value Chain Analysis of Dried Fish and Fish Sauce. Hanoi, Vietnam, ILO/PRISED.
  8. van Gent, R. (2007). Socio-Economic Impact of the 'Cotton made in Africa' Project in Zambia. Lusaka, Zambia, Agridev Consult for Deutsche Investitions- und Entwicklungsgesellschaft MBH.
  9. Purcell, T. and K. M. Rich (2002). Rice Value Chain Study: Viet Nam. Ha Noi, Viet Nam, A Report Prepared for the World Bank by Agrifood Consulting International.

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