Technology
appropriateness and risk factors
The transportability of technology to developing
countries is affected by other factors as well, including small markets, raw
materials constraints, scarcity of skills and underdeveloped infrastructure.
Thus, except for the simplest transfers, technologies by and large will either
need to be modified and made appropriate for the new environment or they will
have to be accepted even though inappropriate.
Transferring a particular technology to a developing
country typically requires that it be modified in one or more of the following
ways :
-
Scaling down,
so that it meets the requirements of the new marketplace, mainly reduced
capacity and minimum penalties for lower levels of
product quality and
economic efficiency.
-
Redesigning it
to use scarce inputs in ratios that are economically rational in the new
environment.
-
Ensuring its
maintainability and its ability to be absorbed at the skill levels available
(or trainable in the new environment).
It may be necessary to restyle the products or to
reengineer the production technology, or both. Modifications should be carried
so as not to jeopardize the technology owner’s
intellectual property,
trade
marks, competitive standing or international image.
However, a technology owner has no means of knowing,
if say, a scaled-down version of it (or a version that, uses another raw
material, or that has been simplified will work effectively or efficiently in
the new environment except, perhaps, by attempting process simulation,
“pilot-planting” or market-testing. Unless the costs of this testing can be
passed on to the technology recipient, in whole or in part, the owner will have
to absorb them.
The transfer of technology to an environment
different from that in which it was developed entails risk, so a methodology is
needed to identify and appraise technology for its acceptability.
The ideal technology selection process
In an ideal approach to selecting technology
appropriate to an environment. The entire acquisition and implementation process
must be considered, not merely the financial and technical merits and risks.
Technology must be viewed as a product exhibiting a
degree of “stickiness” to its owner. That is, it reflects the perspective of
the owner : his attitudes to economic, technical and other factors, and his
desire to control the technology through legal means. When selecting a
technology, one must not only evaluate its technical excellence but must also
reckon with the firm that developed it: the quality of legal protection the firm
has acquired, its reputation for successfully operating technologies, and the
extent of its international activities. The tendency to turn to transnational
corporations as sources of good technologies, or to corporations known for
excellence in certain fields, e/g. fibres or audio equipment, demonstrate this
stickiness factor. Consequently, the technologies that emerge may be equivalent
in terms of product types and outputs, but very different in their use of raw
materials, energy and other inputs, in their manufacturing and product
specifications; and in their patents, trade marks and other proprietary rights.
To a substantial extent, the stickiness factor indicates the degree of support
one can expect from the developer in making a technology viable in its new home.
Although technology is one of the mot important
factors of production, its value to a society cannot be characterized in the
same manner as other factors of production, i.e., “interest rates” for capital,
“rentals” for land, and “wage rates” for labour. Units of measure, such as the
running royalty rate for licensed technology, do not necessarily allow
comparability: just because one technology is offered at a higher royalty rate
than another equivalent technology doe not mean there is an objective,
qualitative difference that makes it superior.
Risk in technology transport
The focus thus far has been on the suitability of a
technology for use in a developing country environment. That assessment is
generally separate from assessing the risks related to the technical performance
of a technology that may otherwise be eminently suitable.
Technology-associated risks are always present, and
their consequences vary insignificance. Some risks may be small, that is,
rectifiable at a low cost or with little effort. Other risks may be more
difficult to correct (if, for instance, a plant is located near a mine for a raw
material but the quality turns out to be poor and raw material must be bought
from a distance) but still allow a reasonable profitability. Still others are
large enough to cause a venture to be abandoned, e.g. risk of the emission of
toxicants forced the closing of some plants in the United States after the
Bhopal disaster.
Technology-associated risks arise in several areas.
Some key areas have already been referred to: the workability of scaled-down
versions of technology and the adaptability of technology to raw materials or
utilities with which the technology owner is unfamiliar. These risks are
present in all cases of technology transfer.
The ultimate user of a technology bears many other
risks: incorrect choice of product, insufficient market size, misjudging the
market segmentation or product positioning, poor location of production plant,
underestimation of investment and so forth.
Appraising business risks, which may be greater than
technology-associated risks, is peripheral to these analyses. Some risks
cannot be covered t all, others may be covered by carefully written contractual
provisions, and some may be shared or minimized by involving the technology
supplier in the market-place (joint ventures, product-sharing etc). Some risks
cannot be controlled, assessed or appraised by either the technology supplier
or the recipient. These are accepted by both parties as being uncertainties
outside the knowledge or control of the negotiating parties, an example would be
an impurity in a raw material.
Risks in
process industry technology
The technological risks of closed-system
technologies are generally greater than those of open-architecture technologies,
or widely used technologies. In the product assembly industries, for example,
there are many or few sequential steps in the manufacture of a product, only
some of which may result in serious economic risk if improperly assessed.
Project-phasing, testing critical equipment prior to shipment and obtaining
warranties of the replacement of defective equipment are all risk-reducing
measures that may provide early assurances of workability.
In the process industries, however, output results
from an intricate networking of the constituent elements, all of which must
be present and working simultaneously to achieve project objectives. Thus,
cement, sugar or paper plants cannot be phased in, nor can any reasonable test
be made of an individual piece of equipment without feeding it material from
another process unit. An unexplored deficiency in raw material, wrongful use
of a construction material, or incorrect configuration in a reaction area can
jeopardize an entire project. Another form of risk may lie in all
ill-conceived mating of technology supplier and plant engineering/construction
firms.
Another feature of process industries is that the
risk characteristics, and the points at which the risks are most significant,
are often specific to the industry involved. Thus, in the manufacture of
cold-rolled steel, the mechanical properties of the steel and the thickness
tolerances obtained may be more critical, and thus a greater risk factor, than
the steel’s physical or chemical properties or even the output volumes. In the
pharmaceuticals industry, a technology may be chosen because it presents the
least risk with respect to product purity, shelf-life and clinical performance
(e.g. low dosage, few contraindications) rather than for reasons such as yield
on raw materials or output stability of the manufacturing process. In the
chemical industries, risk exposure may lie in performance parameters such as
product yield on raw materials or catalyst stability. Analysis of risk thus
involves the identification and analysis of what may be called hidden factors in
the industry or technology involved.
Some risks have direct financial implications while
other risks, such as public safety aspects of the technology, cannot be
measured in these terms. Financial risks may be minimized or shared through
mechanisms such s simulating the process at the laboratory level, building a
pilot plant, obtaining assurances through process guarantees and warranties,
creating a joint venture or building a turnkey plant.
In general, risk is minimized when technologies are
licensed-in at the mature phase in their life cycle and when the output volume I
not too different from that in similar plants. A technology’s maturity is
indicated by the frequency with which it is being licensed (see also module
16, on valuation and methods of payment). Industry journals often provide this
information about major technologies; alternatively, a licensor may be asked to
provide a list of licensees and the dates on which plants constructed under the
licences came on stream.
Potential
for environmental damage
In open-architecture technologies thee is some
opportunity for the would-be acquirer to assess its potential to cause
environmental damage. In closed-system technologies, the opportunity for such
assessment can be quite limited. Disclosure agreements may become mandatory if
the technology is suspected of creating an adverse impact in any of these areas;
alternatively, affidavits or warranties, at the technology selection stage, may
be required. The forms of legal protection that may be available are outside
the purview of this module.
Check List for
Analyzing the Appropriateness of a Closed-Architecture Technology listed some of the questions a technology acquirer must address.
At the same time, many open-architecture
technologies in which developing countries are interested (e.g. cement, paper or
metals) are the developed world’s smokestack industries and they can pose great
environmental and ecological risks, which must be abated by sophisticated
technology. This, however, may turn a previously open-architectured technology
into a package with a closed-system component that needs to be analysed as
discussed above.* (See
Environmentally Sound Technologies (ESTs))
Quantitative approaches to assessing technology
appropriateness and risk
The availability of more than one technological
option has many advantages. A plurality of options, as noted earlier, avoids
a Hobson’s choice (take it or leave it). It provides alternative routes to
manufacturing a product, one of which may be most appropriate for the host
country. In many industries there are, at any given time, equivalent
technologies competing with each other.
The most frequently used methods for selecting one
technology from a set of options are those of financial analysis (economic
reward). Many kinds of analysis are available, ranging from a simple return on
investment analysis to a more complex analysis of internal rate of return.
These methods take into account inputs and outputs in terms of costs and prices,
the life of the project, time related flows of funds, discount rates of money,
inflation and several other factors. They do not, however, weigh technological
factors directly.
Financial analysis may weigh some quantitative
impacts of appropriateness and risk, but they do not weigh many important
qualitative factors bearing on the acceptability of a technology in a particular
physical environment and eco-system. Nevertheless, the economic reward is a
fundamental criterion in any analysis of alternative technologies and
constitutes a key test of acceptability. Objective methodology must attempt to
achieve a better balance between measuring the positive aspects of economic
benefit and the negative aspects of inappropriateness and risk.
In this module, a variation of the simple
return-in-investment (ROI) method, the comparative costing method, is used to
determine economic reward. The exercise is carried out not so much to
demonstrate the methodology, which is well-established, but to compare its
rating of alternative technologies to the ratings of two other methods: the
parameter ranking method and the points system method. Because different
aspects of a technology are evaluated using the different methods, it is
desirable to use all three to determine the most appropriate technology of those
on offer, using information from the suppliers. The recipient must choose a
technology with a low-risk profile while trying to obtain maximum possible
insurance against risks being accepted, including the risk of selecting an
inappropriate technology. Process disclosure agreements, process guarantees and
warranties, joint-venture arrangements, shared production and subcontracted
manufacturing modes are among the alternatives that may be available.
Comparing technologies becomes a reasonable exercise
only after step G in figure 7: select alternative technologies and technology
suppliers. By that time, the potential technology recipient will have
researched independently, or with the help of professional consultants, the
technologies in use and through this process, eliminated some alternatives on
grounds such as raw materials availability or minimum required plant size.
Reaching step G also indicates a technology evaluator has short-listed
technologies taking into account the “stickiness” factor, which associates the
perspectives of the technology developer with the manner in which a technology
will be used.
The
comparative costing method
Table 1 presents an analysis of cots that might
apply when selecting a process-type technology. Primary data, which might have
been provided in many kinds of units, have been reduced to currency units.
While profit before tax (PBT) and PBT/fixed investment have been used as
economic comparators, other comparators might also be applied. Technologies
may, however, be compared without taking into account financial parameters such
as overhead, which vary little with technology, this is known as comparative
costing.
Table 1: Illustration of the comparative costing
method *
(Millions of United States dollars)
|
Technology
|
A |
B |
C |
D |
E |
Annual sales value of product |
13.5 |
13.5 |
13.5 |
13.5 |
13.5 |
Fixed
investment
Foreign currency
National currency
Total |
4.1
6.0
10.1 |
3.6
7.4
11.0 |
3.3
6.4
9.7 |
6.0
5.9
11.9 |
2.9
5.6
8.5 |
Raw and auxiliary materials
Local
Imported
Total |
0.6
1.4
2.0 |
0.6
1.8
2.4 |
0.4
1.8
2.2 |
0.9
1.3
2.2 |
0.7
1.7
2.4 |
Utilities
Petroleum fuels
Electric power
Total |
0.6
2.2
2.8 |
0.7
1.8
2.5 |
0.5
1.2
1.7 |
1.4
0.7
2.1 |
2.4
0.5
2.9 |
Labour
Semi-skilled
Skilled
Total |
0.3
0.4
0.7 |
0.4
0.4
0.8 |
0.4
0.5
0.9 |
0.7
0.2
0.9 |
0.8
0.2
1.0 |
Total
operating costs |
5.5 |
5.7 |
4.8 |
5.2 |
6.3 |
Training costsa |
0.9 |
0.7 |
0.6 |
0.7 |
0.7 |
Maintenance costs |
0.4 |
0.5 |
0.4 |
0.6 |
0.5 |
Plant
and business overheads |
3.0 |
3.0 |
3.0 |
3.0 |
3.0 |
Cost
of working capital |
0.27 |
0.28 |
0.25 |
0.26 |
0.29 |
Depreciation (10 years) |
1.01 |
1.10 |
0.97 |
1.19 |
0.85 |
Technology costs
Flat fee
No.
of installments
Sales royalty rate (%)
Royalty period (years) |
0.90
1
--
-- |
0.15
1
3
5 |
--
--
7.5
3 |
1.20
3b
--
-- |
0.10
1
6
6 |
Total
technology costc |
0.90 |
1.69 |
2.52 |
1.00 |
3.63 |
Annual
technology costd |
0.18 |
0.34 |
0.50 |
0.20 |
0.73 |
Annual
production coste |
11.25 |
11.62 |
10.52 |
11.15 |
12.37 |
Profit
before tax (PBT) |
2.25 |
1.88 |
2.98 |
2.35 |
1.13 |
PBT/net
fixed investment (%) |
22.4 |
17.1 |
30.7 |
19.7 |
13.4 |
· Assumptions
: Analysis of parametric data supplied by technology sellers. Estimates are
made at an operating capacity level considered commercially beneficial by
competing firms.
Note : Italicized costs are those based on data
supplied by the technology proprietor or developed with his cooperation
a On-site plus overseas training cots
b payable at the beginning of the first,
third and fifth years
c see annex for basis of calculation
d Total technology cost distributed over
five years
e Including depreciation and interest
If in the comparative costing method the PBT/fixed
investment ratio is the determinant of choice, technology C would be the most
attractive, followed by technology A. Technology E would be the poorest
choice. The lower operating cost factor might further favour technology C.
If aspects of a technology such as position in the
life cycle, impacts on the ecosystem, public hazards and consumer safety are
equally favourable for all the technology being compared, the above method would
be quite appropriate for industrialized countries, because accessibility to
resources is not restricted and market cots (factor prices) are the determining
criteria.
In developing countries, however, other factors
need to be considered. For example, a constraint on foreign exchange might
encourage selecting a technology that uses a maximum of indigenous materials (eg.
Capital goods or raw materials); likewise, constraints on natural resources
might orient selections to those technologies in which, for example, (hydro)electric
power could be substituted for petroleum-based fuels. In these circumstances,
the selector may be willing to trade off higher cost and less economic
efficiency for minimizing the ue of scarce resources.
Again, the disadvantage of the comparative costing
method is that it does not provide a mechanism to take into account qualitative
factors. The ranking and point systems methods make attempts in this direction.
Ranking
methods
The following list shows how the technologies in
table 3 might be compared taking into account the constraints in a particular
country. Five criteria are established :
-
Fixed investment in national currency to be
optimized
-
Fuel gas usage to be conserved
-
Costs of imported raw materials to be conserved
-
Electric power usage to be conserved
-
Need for skilled labor to be minimized
Unweighted ranking
In the first and simplest of these methods,
technologies are awarded proficiency marks, that is, ranked, with the highest
number assigned to the technology most proficient in the use of each parameter,
e.g. Maximizes national investment inputs, minimizes the use of natural gas. If
the relevant data from table 1 are ranked using these criteria, we have the
result seen in Table 2.
Table 2 shows that technology C is most proficient
in the use of fuel gas, i.e. uses the least amount, whereas it ranks poorly on
the use of imported raw materials and currency. Likewise, technology E is most
proficient in the country’s most proficient in the country’s use of investment
inputs and poor in the use of its raw materials and in conserving fuel gas.
Table 2: Ranking technology parameters (unweighted)
Parameter |
Technology |
A |
B |
C |
D |
E |
Fixed investment in
national currency |
3 |
1 |
2 |
4 |
5 |
Imported raw materials |
3 |
1 |
1a |
4 |
2 |
Fuel, gas |
4 |
3 |
5 |
2 |
1 |
Electric power |
1 |
2 |
3 |
4 |
5 |
Skilled labour |
2 |
2a |
1 |
3a |
3 |
|
13 |
9 |
12 |
17 |
16 |
Unweighted rank |
3 |
1 |
2 |
5 |
4 |
a
Correct computation requires that
if two or more technologies have the same ranking (that is, the same ranking in
a horizontal tally of the parameters), as in the asterisked cases, that ranking
be “fractioned”. For example, if two technologies rank = 3 in the horizontal
tally, then the rank number to be used for totalizing is 2.5; similarly if three
technologies rank = 3, then the rank number to be used is 2.33.
While adding
proficiency marks might be a useful exercise, it offers little support to
realistic analysis because it assigns the same weight to all scarcity factors.
It may, however, be a useful tool for comparing investment sites within a
country for a particular technology rather than for selecting one of a set of
competing technologies.
Weighted ranking
A more rewarding exercise is to rank technologies
after weighting scarce inputs or constraint factors. Table 3 shows the weight
assigned by a technology selector in a developing country to each factor listed
earlier. Clearly, the selector thinks the most important criterion is
conserving foreign exchange, the use of fuel gas, imported raw materials cost,
electric power use, and the need for skilled labour.
Table 3. Weighting for technology parameters
Parameter |
Weight |
Fixed investment in
national currency |
0.40 |
Fuel, gas |
0.25 |
Imported raw material |
0.15 |
Electric power |
0.10 |
Skilled labour |
0.10 |
Table 6 recalculates the results of table 4 giving
due attention to weighting. The weight of any parameter in table 6 is derived
as follows :
Rank of parameter in
the
particular
technological process
Weight =
---------------------------------------------- x assigned parameter
Highest rank number
weightage
of that parameter
among
compared technologies
For example, the weighting for fuel gas usage for
technology B is as follows :
Weight = 3/5 x 0.25 = 0.15
Table 4: Weighted ranking of technology
parameters
Parameter |
Technology |
A |
B |
C |
D |
E |
Fixed investment in
national currency |
0.240 |
0.080 |
0.160 |
0.320 |
0.400 |
Imported raw materials |
0.113 |
0.038 |
0.038 |
0.150 |
0.075 |
Fuel, gas |
0.200 |
0.150 |
0.250 |
0.100 |
0.050 |
Electric power |
0.020 |
0.040 |
0.060 |
0.080 |
0.100 |
Skilled labour |
0.067 |
0.067 |
0.033 |
0.100 |
0.100 |
Weighted cost |
0.640 |
0.370 |
0.540 |
0.750 |
0.730 |
Ranking |
3 |
1 |
2 |
5 |
4 |
Three is the ranking for the fuel gas parameter and
five is the highest rank received by any one technology when considering that
parameter (table 2) 0.25 is the weight given to the fuel gas parameter (table
3).
The technology with the highest weighted cost, that
is, the technology that uses scarce resources mot efficiently, is, of course, to
be preferred. In this example, technologies D and E are particularly
proficient, and when overall cost parameters and the impact on scarce resources
are considered, technology D would be preferred. However, selecting it would
reduce the economic advantages obtainable by selecting technologies C and A.
This then, is the trade off the selector must be able to accept if the
priorities (weightings) are significant and are to prevail.
Ranking methods are useful when critical parameters
can be quantified on a rational basis and weights can be assigned. However,
they are relatively inefficient when there are a large number of qualitative
factors.
The points system method
The points systems method takes into account the
qualitative factors cited in check-lists 1 and 2 (e.g. operational, public
safety) that cannot be quantified or weighted. However, it, like the ranking
methods, involve problems of subjectivity. These problems will be dealt with
after describing the points systems method.
Table 5 illustrates the method and shows the kind of
qualitative factors that often need to be evaluated. The following steps are
involved :
-
Key evaluation parameters are listed
and evaluation criteria are clearly defined.
-
The parameter the selector considers
most significant – the reference parameter - is assigned a weight of 100.
-
The weights of the other parameters
are assigned by the selector considering their importance compared to the
reference parameter (they will, by definition, be less than 100). This gives
rise to point system scale.
-
One of the candidate technologies is
taken as the reference technology. It can be any one of the technologies being
considered.
-
For this reference technology, and
using the points system scale, the selector attempts to establish a point
score by assigning the maximum number of point if it is less favourable. This
establishes a vertical scoring component.
-
With the reference technology thus
scored, all other candidate technologies are compared to it, parameter by
parameter, and scored. Some technologies may get a higher score than the
reference technology. This is the horizontal scoring component of the
methodology.
Totaling the points obtained by each competing
technology yields a ranked list.
Table 5: The point system method
Parameters in
descending order of importance
|
Point System Scale
|
Reference Technologya |
I |
II |
III |
IV |
Product parameters
Purity
Range |
100
40 |
80
45 |
100
35 |
85
55 |
75
40 |
Input raw materials
Raw material A
Raw material B |
30
50 |
35
60 |
25
50 |
20
40 |
40
70 |
Consumption
Catalyst |
60 |
10 |
75 |
50 |
20 |
Safety
Pressures
Toxic chemicals |
30
85 |
30
70 |
30
70 |
10
40 |
10
b |
Environment factors
Refrigeration
Effluents |
20
50 |
30
70 |
30
60 |
20
10 |
20
40 |
Implementation
National construction firms |
70 |
40 |
60 |
30 |
40 |
Technology absorption
Time |
40 |
40 |
60 |
40 |
50 |
|
|
|
|
|
|
Total |
575 |
510 |
595 |
400 |
405c |
a A higher score in the horizontal tally
means the technology comes closer to meeting evaluatory criteria set for the parameter
b Data not available at the time of
analysis
c Incomplete totals due to lack of data
In table 5, the technology selector has assigned
the highest priority to product purity, probably with an objective of accessing
export markets. This is the reference parameter. The remaining factors, in
hierarchal order, are as follows :
-
Product range should be as wide as
possible
-
Too rigid a specification for raw
material A is undesirable.
-
Delivered cost of raw material B is
important
-
Catalyst should be obtainable from a
number of sources
-
Use of high-pressure process systems
should be minimized.
-
Use of declared toxic materials should
be minimized
-
Use of declared toxic materials should
be minimized
-
Fluorocarbon-based refrigeration
systems should be as minimal as possible
-
Cost of waste treatment should not be
an undue burden on the technology recipient
-
National construction firms should be
used as much as possible
-
Factory decision-making must be within
the control of the national enterprise within the shortest possible time, say,
24 months
The method should be used with caution, as it is
possible for a selector to assign too many points to a relatively unimportant
parameter. Injudicious weighting on the points systems scale may seriously
compromise the measurement of overall technology appropriateness.
Assessment in the dual-bid method
Many developing country agencies use what may be
termed the dual-bid, or double-envelope, method for selecting technology. In
this method, a short-listed group of licensors makes two-part sealed bids. The
first – the technical bid – details the offering in terms of technology
proficiency factors, and the second – the cash or commercial bid – identifies
the fixed investment and technology costs for the technology package. Bids are
formulated using a questionnaire prepared by the potential buyer, using
consultants if necessary.
Evaluators on the buyer side then further short-list
the technologies from the economic and technical proficiency perspectives,
taking available resources into account. The technologies are reviewed
separately, by financial experts and decision makers, from the commercial and
business points of view. When this type of bidding process is used, the ranking
methods and the points system method are particularly relevant for analyzing the
technical bid, leaving the comparative costing methods until the last.
To carry out the assessments suggested in this
module, a significant amount of data and information about
technologies is required from the owners. Generally, this becomes possible
after confidence is established that the analyst is serious and that one of a
proffered set of technologies will finally be selected. These assessment
methods use information technology owners are usually willing to divulge to
technology evaluators.
Testing subjectivity
As pointed out earlier, and as evident from the
ranking methods and the point system method, there is likely to be a substantial
degree of subjectivity in an analysis, both in the selection of the parameters
and in the scoring. Fortunately, several statistical methods are available to
test the degree of subjectivity in analysis. They can be used to assess the
selection of parameters, scoring or both. Two of the easiest methods are
illustrated here.
It needs to be pointed out that, to be as objective
s possible, those who evaluate the technologies and hose who select the
parameters and establish weight s for them, an correspondingly for the points
system scale, must be different people. The selection of parameters and their
weighting should be done by senior managers or teams experienced in the
technical and economic aspects of technology. This would remove one of the
several subjective factors inherent in such exercises.
The Spearman rank correlation coefficient test
The top segment of Table 8 shows the ranking of five
technologies, A-E, by two evaluators, P and Q. The convergence of the
evaluation process can be tested by the Spearman rank correlation coefficient,
R:
6(∑ Di2)
-----------------------
R = 1 – N3 – N
Where Di – rank difference and N – number
of technologies being ranked. The correlation coefficient is equal to 1 when
the rankings are identical and –1 when they are opposed. The results are
contained in the lower half of table 6.
Table 6. The Spearman rank correlation
coefficient test: poor correlation
|
Technology |
A |
B |
C |
D |
E |
Ranking by P |
5 |
4 |
2 |
1 |
3 |
Ranking by Q |
4 |
3 |
5 |
1 |
2 |
Rank difference (D) |
1 |
1 |
-3 |
0 |
1 |
Di2 |
1 |
1 |
9 |
0 |
1 |
Rank correlation coefficient
(R)
= ∑ Di2 ÷ 12
= 0.40
|
|
|
|
|
|
While the rankings are certainly not diametrically
opposed to each other, the level of convergence is relatively poor for
selecting a technology. If the rankings are as shown in Table 7, a more
acceptable pattern of convergence emerges.
Table 7. The Spearman rank correlation
coefficient test: better correlation
|
Technology |
A |
B |
C |
D |
E |
Ranking by P |
5 |
4 |
2 |
1 |
3 |
Ranking by Q |
4 |
5 |
3 |
1 |
2 |
Rank difference (D) |
1 |
-1 |
-1 |
0 |
1 |
Di2 |
1 |
1 |
1 |
0 |
1 |
Rank correlation coefficient
(R)
= ∑ Di2
÷ 4
= 0.80
|
|
|
|
|
|
Assuming that the individuals who selected the
parameters have capable parameter selectors, low degrees of correlation show
that the evaluation parameters need to be defined more precisely, although this
may not always be possible. The Spearman coefficient is limited to testing the
findings of only two parameters. Unless the correlation is very high,
technologies may not be correctly ranked. One may, however, use a third
evaluator and then compare the paired results (A-B, B-C, C-A etc) to see if any
two evaluators rank the technologies with a high degree of correlation.
However, the following approach may be better.
The coefficient of concordance test
Where more than two evaluators are available to
select technology, the method that calculates the coefficient of concordance is
more useful for testing a selection. The coefficient of concordance, W, is
expressed by the following relationship :
W = 12 x S
---------------
M2 (n3 – n)
Where m – number of evaluators, n = number of
technologies evaluated and S = the sum of squared differences between the
observed rank total and the expected total of null hypothesis. W varies from 0
for random evaluation to 1.0 for perfect concordance.
In Table 8 technologies A-E are ranked by six
evaluators. This evaluation shows high concordance (0.95). Therefore, the
ranked score totals may be taken as giving a true ranking of the technologies on
these parameters.
Table 8. The coefficient of concordance test for
statistical coherence
Evaluator |
Technology |
A |
B |
C |
D |
E |
P |
4 |
5 |
2 |
1 |
3 |
Q |
4 |
3 |
2 |
1 |
5 |
R |
5 |
3 |
1 |
2 |
4 |
S |
4 |
3 |
2 |
1 |
5 |
T |
5 |
3 |
2 |
1 |
4 |
U |
5 |
3 |
1 |
2 |
4 |
|
|
|
|
|
|
Rank
score total |
27 |
20 |
10 |
8 |
25 |
|
|
|
|
|
|
Total
of ranks = 90 |
|
|
|
|
|
Bank score requested on null hypothesis 90/6 = 15
|
|
|
|
|
|
Square of difference between rank total and expected result
of null hypothesis
|
144 |
225 |
25 |
49 |
100 |
|
|
|
|
|
|
Sum of the squared differences = 343
|
|
|
|
|
|
The results emerging from these two methodologies,
seen separately, may merely reflect accidental agreement or disagreement among
the evaluators without sustainable foundation. To determine if this is so,
further tests of statistical significance are required. Some simpler tools for
determining significance are available.
|
Figure 7 : Idealized technology selection process
THE NATIONAL MARKET ENVIRONMENT
Candidate products for manufacture
(Step A)
Market assessments
Product identification
Market size
(Step B)
Potential modes of production investment estimates
(Step C)
Preferred modes of production
(raw materials, energy forms, skills, etc)
(Step D)
Suitable technological routes
(Step E)
Potential technology suppliers
(Step F)
Select alternate technologies and respective
technology sources
(Step G)
Evaluation of technology attributes
(trade marks, patents, etc)
(Step H)
Analysis of
appropriateness of technologies
Analysis of technology risks
(Step I)
Preferred form of
technology transfer
(joint venture,
licence, etc)
(Step J)
Analysis of financial acceptability
(including technology costs)
(Step K)
Preferred technology and form of acquisition
(Step L)
Preferred mode of technology implementation
(turnkey, unpackaged,etc)
(Step M)
Preferred strategies of market entry and product
establishment
(Step N)
Enterprise formation, * technology transfer and
project implementation
(Step O)
Enterprise
structure, funding etc. are not detailed here although some may have a bearing
on technological selection.
Note: Procedures
in italics relate to technological selection
Methodologies for evaluating technology are,
therefore, empirical and subjective factors may be considered in the evaluation
exercise.
Open and closed architecture technologies
In this module, appropriateness and
economic-technical risks are used as two key parameters for evaluating if a
technology will be suitable in the host country environment. This is based in
large part on responses obtained from the technology owner, a situation not
unlike discussions between doctor and patient. On-site inspection of the
working technology by its intended recipient, which would be available before
making a decision, will generally not be possible until a degree of contractual
certainty is created.
Before proceeding to a discussion of evaluation
tools, it may be useful to classify the technology differently than in the
introduction (where five categories were given), that is into two broad
categories: those with “open” and “closed” architectures. Doing so bears on the
scope of analysis available in selecting technology.
Technologies that relate to assembling components
to make a product such as a washing machine or lathe or that relate to making
mature commodity products, such as cement, typify “open-architecture”
technologies. In the case of an assembled product, a competent professional can
actually disassemble the product to see how it has been put together. Such an
examination permits determining which components are most critical to operating
the appliance or machine and how effectively each performs relative to its
counterparts in an equivalent appliance or machine. Likewise, a cement making
process offered as an “engineering package”, which would disclose its salient
features, can be conceptually disassembled into its component elements. Using
the wealth of information available in technical literature, the probable
sequence of physical/chemical operations by which cement is manufactured in the
engineering package can be visualized. Technologies that have entered the
public domain through the expiry of patents also belong to this category.
Indeed, the first IBM personal computer was expressly, designed to have an open
architecture so that industry would be able to manufacture peripherals (such as
printers) and software, thereby expanding its usage.
Such analyses can help a technology evaluator
appreciate the excellence of the technologies offered. An evaluator can then
develop inquiry procedures seeking clarifications and assurances from the
technology owner in areas of importance, doubt and uncertainty, and on issues
affecting the “relocating” -- that is, the transportability of a technology
(see Check List:
Questions for Analyzing the Appropriateness of an Open-Architecture Technology).
In “closed-architecture” or “closed-system”
technologies – such as those for manufacturing novel alloys, drugs, polymers, or
integrated chips -- examining the end product provides little information about
the raw materials used, the manufacturing process, the conditions during
manufacture, the processing sequences involved etc. The product or process
cannot be conceptually disassembled, except in the vaguest terms. Practically
all crucial aspects of the process must be is closed to the technology
recipient for him to assess its appropriateness and risk.
Thus, technologies with an open architecture are
generally easier to assess because there is greater opportunity for examination
prior to acquisition or licence than there is for closed-system technologies.
Of course, many technologies are partially open architecture and partially
closed-systems.
Nevertheless, testing for appropriateness of
technologies depends on obtaining some level of process disclosure from the
technology owner. The amount of material available for examination and the
knowledge as well as the experience of the technology owner in applying the
technology, reveal themselves only as the collaborative arrangement between the
owner and potential technology-recipient gains strength. Even so, much of the
technology’s nature will remain unrevealed.
It is not always possible for developing country
→
Entrepreneurs
to go through the sequences to examine alternative
technologies. In many cases, the choice is between accepting or not accepting a
single offer of technology resulting. This can happen for several reasons
including the following : (a) not knowing that other sources of technology
exist, (b) lack of any other willing supplier of technology, or (c) the fact
that the technology owner is assuring a market for the product.
Assessing
the appropriateness of a technology
Assessing technological appropriateness involves
assessing the technical and economic features of a technology package in the
context of production in a given national environment. The assessment process
requires some level of information disclosure from the technology owners, from
obtaining responses to queries, to visiting plants of the licensor, to obtaining
confidential disclosures (drawings, designs, specifications) and so forth.’
By and large, it will be difficult for technology
evaluators in most developing countries to obtain the needed information without
providing the technology owner with some assurances. In some legal
environments, prior disclosures and “look-see” arrangements may be obtained by
paying front-end fees and the technology need not be selected. Typically,
developing country Governments discourage such payments, although they are
widely practiced in developed countries.
As a result, evaluation of appropriateness are
carried out under less than ideal conditions. However, good homework by the
potential acquirer of technology, striking a good relationship with the
technology owner, demonstrating seriousness of purpose and sending strong
signals that good technology will find a new and rewarding habitat, can
stimulate responses useful enough to make good decisions.
Where there is a choice of several technologies,
analyzing appropriateness is much easier than analyzing feasibility for a single
technology. A plurality of choices inherently shows that there are several
accessible and practiced routes to achieve a given objective. It also shows
that some technologies have facets that enable them to work in different
habitats. Moreover, one route may have a configuration close to that required
by the technology recipient.
However, as an initial exercise, it may help to
analyse appropriateness by assuming only a single technology offer of a
stand-alone technology not influenced by extraneous parameters such as
financial credits, equity participation.
In the following hypothetical cases, two of them
with relatively open architectures and one of the closed system type, the first
step is to develop checklists for evaluating the technologies.
Two cases
of open-architecture technology
Product of
low complexity
In this case the product is one that can be easily
disassembled by an engineering professional. It can be put together by
obtaining from its manufacturer semi-knocked-down (SKD) or completely
knocked-down (CKD) product kits. However, even though little “technology” is
apparently needed to assemble the product from its parts, many things would not
be known even to a professional. Several questions arise. How is the assembly
best sequence ? Which subassemblies are made first and which later ? How fast
can the assembly be done ? Where are the hold ups ? What kind of a floor layout
is bet suited to assembly ? What quality control measurements are made and what
kinds of instruments are required ? At what stages of product assembly are the
sub-assemblies tested ? Would local technicians need to be trained ? Thu,
although we are dealing with what might be called “screwdriver technology”, many
things that should be obvious from the open architecture of the technology are,
in fact, not. None the less, the questions raised above can be answered. They
will form part of the “technology package” – the know how (or should it be
called showhow ?) to be acquired from the proprietor of the technology.
Product of
greater complexity
In this case, a technology whose features are
largely available in the public domain is tested for appropriateness. Its
features are fairly well described in technical literature (including in expired
patens) and can be explored through the use of consultants who have investigated
or practiced similar technologies. It is assumed that there is an ongoing
national market for the product, that the entrepreneur can manage project
finances and that he is capable of establishing the enterprise and organizing
its operations.
The technology at hand involves the manufacture of
copper-based welding rods, used as a filler metal for joining ferrous and
non-ferrous metals through braze welding with a gas torch. A literature search
and advice from consultants has disclosed that in a typical manufacturing
scheme, virgin metals, eg copper, zinc and tin, plus hardeners, if needed, such
as phosphor-bronze, are melted, under flux cover, in graphite crucibles, and
the molten metal is cast into rods on green sand moulds. The rods are then
hot-rolled to reduce their diameter and then cold-rolled and annealed before
being sent to wire-drawing machines from which the end product emerges after
pickling. Further, annealing may be practiced for certain grades. The
national market that meet supports American Welding Society (AWS) – American
Society of welding rods.
The professional consultant is of the opinion that
(a) most of the information on the manufacturing process is in the public domain
(open architecture), (b) all of the manufacturing equipment involved can be
sourced locally at competitive prices and (c) the local environment can accept a
product of this complexity. These factors, by themselves, are insufficient to
warrant successful entry into the market place. A helping hand is needed
perhaps from a firm active in a similar market in another country and having a
diversified range of products and a good product mix. In this case, showhow is
not as important as knowhow pertaining to the manufacture of a wide range of
products.
A prospective buyer needs a basic knowledge of the
operating process and a preliminary idea of what technical support will be
necessary before he or the licensee can elicit enough information from a
technology supplier to begin an evaluation of technology’s appropriateness.
A check-list has been developed of the kinds of
questions a technology supplier might be expected to answer for a serious-minded
client. The responses help the technology seeker to determine the basic
features of the manufacturing process, assess the technical factors critical to
commercial success, identify areas of technical risk and highlight matters that
should be incorporated into the final transfer contract.
Checklist 1 proposes
questions that will help to evaluate the appropriateness of an open-architecture
technology.
Many aspects of the technology and its
appropriateness should become apparent from the responses to thee questions.
“Look-see” arrangements may come next, possibly at a cost, since a visual check
is often vital for technology selection.
In neither case is there much need to probe risk
elements, because no risk areas are evident. However, questions about whether
local knowledge was appropriate to the needs of the technology or the market
certainly had to be asked. Responses would point to training needs in the
context of fruitful technology use and to improve management effectiveness.
Case of a
closed-system (process) technology
In this case, a process technology for producing a
chemical illustrates the exercises necessary for evaluating the appropriateness
of a closed-architecture technology. Because the process is based on knowhow,
most of its features will not be in the public domain. Indeed, they may be
confidential and will generally only become accessible to the entrepreneur when
he enters into a technology licence contract. Product literature or oral
information from salespersons is, of course, available for promoting and
marketing the technology’s product and facilitating its application. It is
assumed that the would-be entrepreneur in a developing country has been
presented with a single offer of technology and that the offer is not
associated with offers of equity or other forms of participation.
The example involves the manufacture of a branded,
high tech protective coating for exterior surfaces of all kinds (wood, metal
etc). According to a technical brochure enclosed with the marketed product, the
coating develops on polymerization of the constituents present in the coating
solution. Te polymerizing substances are said to be acrylic esters, with no
further qualification. The brochure states that polymerization requires the
addition of a mixture of catalysts and other materials packed in a separate
container but sold with the ester product.
If the process is patented it will be fairly easy to
get a good understanding of it because patents generally do four things: (a)
disclose “prior art”, i.e. how coatings belonging to the patented product group
have in general been made; (b) present claims of novelty for the patented
product/process; (c) outline the methods available of obtaining the product; and
(d) state the preferred mode of making the product. A patent makes the
technology more open-architectured.
However, even though all details of the process may
be disclosed in the patent, they usually relate to production at the test-tube
level or, only details of the critical segment are provided. A capable
engineering firm might be able to scale up the process to commercial dimensions,
but that would not yield crucial operating knowledge. The questions of how to
make the product most economically and with the best specifications would remain
open.
Operating information, often referred to as know-how
or show how , is held in confidence. “Look-see” arrangements, feasible with
open-architecture technologies, would in this case reveal very little.
Understanding process technology requires a knowledge of operating conditions in
all segments of the process, not just the patented segment. However, prior
disclosure agreements can often be concluded to obtain such information, since
the potential for misuse is minimized by the protection already available
through the patent.
Contracts for the prior disclosure of process
information for technologies that are wholly know-how based are often possible in
industrialized countries for a fee. In developing countries, the legal
framework may not sufficiently protect an information supplier in terms of
ownership rights and wrongful use of process information.
To a great extent, in closed-system technologies, a
technology analyst has to approach evaluation obliquely and indirectly. The
check-list of queries for analyzing closed-system technologies will be broader
in scope but poorer in detail than the check-list for open-architecture
technology because there is little information in the public domain to use in
framing questions. In this case there is no patent in the host country.
Checklist 2 is a typical check-list for enquiry into
a closed-system technology such as our example. It contains queries that a
technology proprietor should be able to answer with little fear of violating
proprietary information. A search of technical literature in the coatings field
may also reveal answers to some of the questions. Some queries raised in the
context of the second case, that are of a product of higher complexity may also
be applicable here. A few kinds of information may not be available during the
early stages of technology exploration; these have been marked with an asterisk.
Technological complexity and technology transfer
Concept
It has been assumed in the course of the above
discussion that if a selected technology meets certain techno-economic criteria
it is appropriate and can be transported from the country of its development
(and use). Many of these criteria have been outlined: a technology’s
adaptability to smaller markets, its accommodation scarce resources, its
adherence to certain qualitative criteria, its maintainability given the skill
levels of the new habitat etc. Thee are important, but sometimes insufficient,
conditions for successful transfer.
A key criterion that must also be assessed is the
workability of transported technology in the context of the technological
complexity ** in both the sourcing and host countries. Technological complexity
relates to the manner in which and the extent to which technology is used to
yield output and diversity of modern, goods and services, and to carry out the
tasks of industrial management and organization, as well as on the means adopted
for its development, propagation, permeation and protection. In is beneficial
aspects technological complexity ultimately manifests itself in the form of
products and services that reduce drudgery in carrying out everyday work,
provide greater comfort and convenience, afford more time for the pursuit of
leisure activities, and so forth. Hence, a high degree of technological
complexity typically reflects a high quality of life.
Experience shows that unless certain externalities
are similar in the two environments, many of the micro-economic benefits
exhibited by an individual technology in the sourcing country or environment
will not be realized in the host country environment. In other words, unlike
water, technology does not flow well from a high level to a low level
environment.
The
technological infrastructure
The technological complexity of an economy evolves
gradually. At its high end, the substantive components of technological
complexity are manifest in external facets such as replacing or supplementing
natural products with synthetic substitutes, high manufacturing and processing
speeds consistent with high levels of product quality, progressive integration
and assembly of parts, miniaturization and the increasing substitution of
machines and systems for human skills. With respect to the last item, one may
cite the substitution of machines for muscle-embodied labour, of automation and
robotization for skilled labour, of computers for clerical and many categories
of supervisory personnel, and of artificial intelligence and neural systems
for middle-level managers.
Technological complexity is further demonstrated by
the use of technology to network goods and services. Goods are ordered, paid
ofr, inventoried, and employed in efficient systems through the use of
information technology, with a few people controlling the movement of large
volumes of goods through a complex transport system. There are also many
systems to deliver services: human hierarchies within an enterprise perform
certain functions and specialized professional agencies outside the enterprise
to perform others. The systems by which technology is produced, employed and
licensed contribute to technological complexity. Legal instruments such as
patents, trade marks and trade secrets legislation enable relatively easy
access to technology. Technological complexity both reflects and is enhanced
by the presence of a well-developed technological infrastructure.
A high-quality industrial infrastructure supports a
large number of business transactions per unit of time over distances by a
variety of means, such as computer, fax, telephone, video-conferencing,
person-to-person interactions. Indeed, the relative levels of two industrial
infrastructures can be measured by the number of transactions they can support
per capita : [(number of two-party transactions per unit of time) x (the sum of
the distances separating the transacting parties)]/[population].
The transportability of technology
The transportability of a technology, that is, the
ability to relocate it to another environment, depends on the technological
complexity of the national (industrial-economic) environment and of the
particular industry in which it will be imbedded. Of these, the complexity at
the national level is perhaps secondary. Thus it is possible for particular
groups of advanced technologies to work adequately and efficiently within an
industry having a high technological complexity internally even though, the
country lags well behind those countries from which the technologies have been
sourced. The effective performance of computer-based technologies in Taiwan
Province of China and the Republic of Korea is an example. Since computer
technology is one focus development in these countries industries employing
these particular technologies have thrived and been efficient despite their need
for extreme levels of miniaturization and processing speeds (which are
characteristic of many industries in the technologically advanced countries).
The same is true for the incorporation of advanced textile industry
technologies in India, which call for high levels of vertical and horizontal
integration of industry systems, a multifibre processing capability, and large
volumes of production. That having been said, it remains true that,
technology flows most effectively from one point to another when the levels of
technological complexity are nearly the same.
The degrees to which human skills can be replaced
by machines and systems, the extent to which goods and services are networked
and the transaction capability of the technological infrastructure are three
external features that determine the transportability of technology from one
environment to another.
It might be asked. Does the reverse situation hold
? Does a technology efficient in a place of lower technological complexity
perform satisfactorily when transported to a place at a higher level ?
Specific examples to illustrate the point are difficult to find. One, however,
is the superior performance (i.e. higher output per main-hour of the work) of
software people (a non-material form of technology transfer) when they move from
a developing country to a developed one.
Corporative significance
If we look at technological complexity in the United
States and set it at an arbitrary level of 100, then transfer of technology, at
any point on the technology life cycle, to western Europe and Japan may be
expected to be as effective and rewarding as transfers within the United
States. If, on the other hand, the same technologies wee to be transferred to a
newly industrializing country with a level of technological complexity of
50-60, then the effectiveness of transfer might prove poorer. Even so, it
might be more effective than transfers to, for example, a developing country in
Africa with a level of complexity in the 15-20 range, where the technical and
economic conditions will be unacceptable and the technologies will fail to
perform.
On the other hand, a technology transfer from one
developing country to another, with a level of technological complexity, will
have less possibility of distortion through reconfiguration than a transfer from
a country with a markedly higher level of technological complexity. That is,
if a technology is transferred from an environment with a technology complexity
factor of 40 (relative to the United States) to one that has a technology
complexity factor of 30 (relative to the United States) then it will travel
well, particularly if adapted to national endowments.
However, technologies that have existed for a long
time and are in the declining phase of their technology life cycle may be
transportable to locations with a substantially lower level of technological
complexity without significant potential of distortion through reconfiguration.
This is true because, first, the technology in the declining phase was developed
when the environment was at a lower level of technological complexity without
significant potential of distortion through reconfiguration. This is true
because, first, the technology in the declining phase was developed when the
environment was at a lower level of complexity than at the time of its
transfer, and secondly the technology has by now become a technique (that is, a
specialized skill) and thus carries little risk of inadequate performance. Much
of the technology flowing between advanced and developing countries may be
characterized as technique which is why it works well in new habitats. These
transactions can be said to involve technical services rather than true
technology.
One of the paradoxes of modern-day economic reality
is that developing country with a low level of technological complexity require
certain high-level technologies, such as power and telecommunications systems,
or systems to exploit natural resources for exports. Because such technologies
need not be scaled-down or modified to suit the factor endowments of the
recipient country, they transfer well, particularly when the transfers are made
on a turnkey basis. At the same time, they are not readily absorbed by hot
country technicians and managers and will continue to require external
maintenance support for optimum performance.
Thus, consciously acknowledging the importance of
the relative technological complexities of both sourcing and receiving
countries permits one to assess the transportability of a technology. In most
cases, a qualitative determination suffices; the difference in technological
complexities is too great to successfully transfer technology, or the
complexities are of a comparable level, or the penalties of the difference can
(or cannot) be absorbed at a moderate cost.
An assessment tool
Sometimes, however, an objective method of assessing
the relative levels of technological complexity between the technology-source
and the technology-recipient countries is called for. One way of doing this is
to take a poll o experts and analyse its findings using the Delphi Principle.
The method suggested here is analogous to, and
derived from the points system method. It is a simple way of looking at
technological complexity to support decision making for technology transfer.
Such as analysis is easier, and the results are
clearer, when evaluating a technology entering a particular industry. Here,
however, it is the economic industrial technological complexity of the two
countries that are being compared.
The basic methodology comprises the following steps
:
-
List the external features needed to
support the successful operation of the technology in the source country
(country A).
-
For the country that will receive the
technology (country (B), give a rating of 100 to each feature. If the feature
is absent, give a score of zero.
-
Rate each feature in country A. The
score will generally, but not always, be higher than 100. For instance, if the
quality of telecommunications was the feature being assessed and its score was
100 for country B, it could well be that the score for that feature in country A
would be 400. Likewise, for transportation flexibility, the scores could be
100 (for country B) and 250 (for country A). On the other hand, in terms of
accessibility to unskilled labour, the score for country A might be 20 compared
to 100 for country B and perhaps zero for access to certain raw materials. When
the country B score is zero, prorate the country A score looking at the scores
you have given to other features of country A.
-
Total the points for each transacting
country
-
Set the technology complexity factor
100 for the country acting as the technology source (country A).
-
Obtain the proportional comparative
factor of technology complexity for the country receiving the technology (it
will generally be below 100).
-
Assess the impact of this factor on
the transportability of the technology between the two countries.
The important external features that can affect the
performance of a technology may be listed as follows :
Industrial system
-
Degree of industrialization, i.e.
number of industries, by type, in the country
-
Degree of horizontal and vertical integration
-
Geographic dispersion/concentration of
industries
-
Interdependence of products and
services and the degree of networking of products and services
Technology system
-
Intensity of replacement of labour of
various skill levels by machines, automation and computerization
-
Complexity and depth of the technology
information system
Status of intellectual property rights
Marketing system
-
Size of markets
-
Complexity of product mix
-
Degree of competitiveness within
industries
-
Competition from imported products and
services
-
Technology of the distribution system
-
Technical servicing capabilities
-
Manpower system
-
Availability of unskilled and skilled
labour
-
Availability and cadres of supervisory
and managerial personnel
Institutional structures
-
Technical
schools
-
University and corporate R&D centers
-
Design
and engineering firms
-
Construction and erection forms
-
Product
and technology consultancy organizations
-
Role of
national government in institutional structures
Infrastructure
Annex
BASIS OF
CALCULATING EQUIVALENT TECHNOLOGY COST
Using the concept of present value, it is possible
to reduce various expressions of time-related technology fees to a common,
comparative basis. Each future payment is reduced to its present value by
discounting it at a discounting rate, which may vary between countries. That
is, at a 10 per cent discount rate, $1.00 received a year from now is equal to
$0.9091 today (its present value)
Where a comparison being made between technologies
relative to their respective ascendancy, the application of a 10 per cent will
not unduly distort results.
The UNIDO publication “Guidelines for the
Evaluation of Transfer of Technology Agreements,” DTT series, No. 12 (1979),
provides more background to this methodology, which may be used to reduce to
comparative figures. The technology costs in table 1 (A, 0.90; B.1.69; C,2.52;
D,1.00; and E,3.63).
Technology cost
Year |
1 |
2 |
3 |
4 |
5 |
6 |
Discounting factor (10%) |
0.91 |
0.83 |
0.75 |
0.68 |
0.62 |
0.56 |
Present value of payments (Million US$) |
Running royalties |
|
|
|
|
|
|
Technology A |
- |
- |
- |
- |
- |
- |
Technology B |
0.37 |
0.33 |
0.30 |
0.28 |
0.25 |
- |
Technology C |
0.92 |
0.84 |
0.76 |
- |
- |
- |
Technology D |
- |
- |
- |
- |
- |
- |
Technology E |
0.74 |
0.67 |
0.61 |
0.55 |
0.50 |
0.46 |
Flat fees |
|
|
|
|
|
|
Technology A |
0.90 |
- |
- |
- |
- |
- |
Technology B |
0.15 |
- |
- |
- |
- |
- |
Technology C |
- |
- |
- |
- |
- |
- |
Technology D |
0.40 |
- |
0.33 |
- |
0.27 |
- |
Technology E |
0.10 |
- |
- |
- |
- |
- |
|