FAQ
1. What are some of the definitions used in impact models?
Direct Impact
All 'first round' economic activities which contribute to GDP,
employment, household income. These can
vary from investment in a new or expanded facility to wages paid to employees
directly involved in production of the operation for which an impact statement
is required.
Gross Domestic Product (GDP)
The measure of economic activity in an economy, in this case the Nova Scotia
economy. GDP measured on an expenditure
basis is expressed as:
GDP = C + G + I + X - M
where:
C = Personal consumption
(expenditure) of goods and services.
G = Government expenditures
on goods and services.
I = Investment in capital,
machinery equipment and inventories.
X = Exports of goods and
services.
M = Imports of goods and
services.
GDP is also measured on an income basis and consists of :
- labour
income
- corporate
profits before taxes
- interest
and investment income
- net
farm income
- unincorporated
business income
- inventory
valuation adjustment
- indirect
taxes less subsidies
- capital
consumption allowance
Gross domestic product of an industry is the value added by labour and
capital in transforming inputs purchased from other producers into outputs.
Indirect Impact
All 'subsequent rounds' of economic activities which contribute to GDP,
employment, household income. These
activities are not directly associated with the production activity but are a
result of direct production activities.
These indirect contributions also include 'induced contributions' which
measure the economic activity associated with the respending of wages paid in
the direct, indirect, and to a lesser extent earlier rounds of induced
activity.
Input-Output (I-O)
The input-output model measures the wide economic impact of a direct
economic event by the known inter-industry dependency in the given
economy. Different sectors of an economy
depend on other sectors of the economy to supply its inputs or purchase its
output to varying degrees. The imbalance
in this supply/demand relationship is made up by imports (supply) and exports
(demand).
The input-output model measures total economic activity defined as
direct + indirect + induced activities.
For an explanation on direct, indirect and induced activity see
preceding GDP definition.
Input-Output Multipliers
Relate the indirect and induced impact by industry to the direct
increase or reduction of the output of a given industry. The sum of all industries indirect and
induced impacts plus the direct industry impact equals the total impact.
2. What are the limitations of an impact model?
Model Limitations
An
input-output model, like any model, is an approximation to reality. It is built on assumptions that are never
fully realized in the real world. While
most analysts are well aware of the limitations of any I-O model it may be
helpful to the general reader to review these limitations.
Input-Output Lacks an explicit time dimension
An input-output system provides a snapshot of
an economy for a period of time (usually a one-year period). If the economy is in disequilibrium, all
future uses of the tables and the related impact models will reflect the
structural implications of the atypical year.
Multiplier
effects do occur over time. However, the
impact models associated with input-output systems imply that the multiplier
effects are virtually instantaneous.
There is some evidence to show that the multiplier effects take from two
or three years to move through an economy.
Sensitivity to relative price changes
Relative prices between commodities will
change from the base year of model construction to the period in which the
model is used. Therefore, the analysis
of projects via input-output analysis in the future will reflect one set of
relative prices, while the direct requirements coefficients in the tables reflect
the relative prices of the base year. If
the relative price changes are not accounted for, future data supplied to the
impact model will produce “incorrect” impact results.
For
example, say, in 1984 an industry required $100 of lumber for every $1,000 of
output (i.e. 10 percent of inputs). If
an analysis of the same industry were conducted in 2011, prices for the same
volume of lumber may have increased to $150 while inflation on all other inputs
was only 10 percent. Therefore, the
total output value (for the same amount of production) is now $1,140, of which
lumber is 13.2 percent of inputs. The
relative price change in lumber has caused an increase in the size of its
technical coefficient. Using unadjusted
data in the 2011 model would produce incorrect impact results to the extent
that relative prices change.
Constant technology
As mentioned earlier, the input-output system
is a static model. However, times change
and so do the technologies used. To
mitigate this limitation, most input-output systems are updated on a periodic
basis. The PEI Input-Output system has
been updated over the years. Such an
update picks up any technology changes in the economy. Between updates no changes in technology are
assumed.
Constant returns to scale
Input-output systems assume constant returns
to scale; that is, all inputs change in the same proportion as any change in an
industry’s output. This assumption
implies that even for one dollar increase in sales, the model will show impacts
on wages, salaries and employment associated with the multiplier effects. However, common sense tells us that this is
not true. Such a small increase would
not necessarily cause, especially in the short run, generation of a
commensurate increase in wages or employment. However, in the long run, it can
be assumed that even a small increase in final demand will produce the
multiplier effects estimated by an input-output system.
In the short run, industries can draw on
inventories, use their labor more efficiently, etc. to increase output with
limited impact effects. However, if the
new level of final demand is maintained, then firms in the long run will move
back to their historical steady-state level of the utilization of factors of
production. In the long run, increases
in, say, household income due to increases in final demand will reflect the
technical coefficients’ relationship between income and output modeled in the
input-output system.
No supply constraints
Input-output
systems assume that whatever is demanded by industries as inputs can be
supplied. They assume no productive
capability constraints. This problem is
not significant when there is excess
capacity in an economy. However, when
economies are operating at or near capacity, this limitation is important. The multipliers for an economy near capacity
will be underestimated. This is because
increased final demand will require new capital investment whose own direct and
multiplier effects are not captured within the standard input-output system.
Fixed consumption patterns
The consumption patterns that result in
household re-spending multipliers are assumed to be fixed and linear. As Canadians become “better off” they
redirect real growth in income to savings and luxury consumption. Because the input-output system is static, it
does not model the effect of non-linear patterns in household consumption (as
real incomes increase) within its multiplier estimates. This problem is partially overcome by
regularly updating input-output systems.
Conclusion
Although the list of limitations may appear
long, a similar or longer list is associated with almost any form of economic
analysis. The limitations occur in
different areas in other analytical tools.
No one economic model is expected to provide the comprehensive
“answer”. Economic analysis techniques
should be used in a complementary fashion to appreciate the full scope of a
problem. In a very real sense, then,
quantitative economic models should be used to examine the structural
implications of changes in an economy and should not be treated as providing
“the” answer.
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.