Input-output (I-O) analysis is a means of examining inter-industry relationships within an economy. It captures all monetary market transactions between industries in a given time period. The resulting mathematical formulae allow for examinations of the effects of a change in one or several economic activities on an entire economy (impact analysis).
IMPLAN expands upon the traditional I-O approach to also include transactions between industries and institutions1 and between institutions themselves, thereby capturing all monetary market transactions in a given time period. IMPLAN can thus more accurately be described as a Social Account Matrix (SAM) model, though the terms I-O and SAM are often used interchangeably.
Although IMPLAN V3 provides a framework to conduct an analysis of economic impacts, each stage of an analysis should be carefully scrutinized to make sure it is logical. Procedures and assumptions need to be validated. Please review IMPLAN and Input-Output analysis' assumptions.
Constant Returns To Scale
This means that the same quantity of inputs is needed per unit of output, regardless of the level of production. In other words, if output increases by 10%, input requirements will also increase by 10%.
No Supply Constraints
I-O assumes there are no restrictions to raw materials and employment and assumes there is enough to produce an unlimited amount of product. It is up to the user to decide whether this is a reasonable assumption for their study area and analysis, especially when dealing with large-scale impacts.
Fixed Input Structure
This structure assumes that changes in the economy will affect the industry's output level but not the mix of commodities and services it requires to produce that output. In other words, there is no input substitution in response to a change in output.
Industry Technology Assumption
The industry technology assumption is used to convert make-use tables (or supply-use tables for some international datasets) into a symmetric input-output table. It assumes that an industry uses the same technology to produce each of its products. In other words, an industry's production function is a weighted average of the inputs required for the production of the primary product and each of the by-products, weighted by the output of each of the products.
Constant Make Matrix
As a requirement of the industry technology assumption, industry by-product coefficients are constant. An industry will always produce the same mix of commodities regardless of the level of production. In other words, an industry will not increase the output of one product without proportionately increasing the output of all its other products.
The Model is Static
No price changes are built in. The underlying data and relationships are not affected by impact runs. The relationships for a given year do not change unless another data year is purchased.
Issues that Must be Converted Before Implementing IMPLAN Analysis.
- Tax policy
- Transportation Issues
- Price changes
- Forward linkages
are examples of complex issues that require special framing for IMPLAN analysis. For transportation operational analysis, we recommend using the TREDIS Model.
Forward linkages look at impacts to industries resulting from an industry change within the supply chain, such as: "If the Forest Service sells 20% more timber, what will be the impact on sawmills?", or "What will be the impact if all new vehicles were required to be solar powered?".
The complexity of these very real questions shows why IMPLAN cannot make these estimates:
- Will all the timber go to sawmills, or will additional timber be used by veneer and pulp mills?
- If timber is allocated to several different industries, what percentage of new timber will go to sawmills?
- Are all the affected sawmills in the Study Area?
- Will an individual mill receive enough new timber to actually change its value of production?
Thus problem involving forward linkages can be modeled in IMPLAN but require additional ground work on the part of the analyst.
Beyond the Scope of IMPLAN
Studies addressing impacts related to future projections or to socio-political changes are outside the scope of IMPLAN analysis, as these are qualitative not quantitative questions.
The study of economics cannot assess the human factor involved questions like:
- What is the value of an endangered species?
- What is value of human life or related social concerns such as prevention of hunger or improved housing?
- What is the impact of pollution?
- How will my economy look in the future?
All these cases have associated economic elements, (forest management, construction, healthcare costs, social works programs, etc) and their aspects related to spending and production can be modeled using IMPLAN. Likewise pairing IMPLAN with carbon emission reports allows analysts to create estimates of output-to-carbon emission values. However, the environmental impacts of those emissions are based on the analysts assumptions. Therefore, two different views could produce radically different results.
Why no forecasting?
The IMPLAN Model estimates impacts assuming that the relationships of the current data year are maintained. Thus IMPLAN datasets are a snapshot in time of the local economy. While estimates of economic activity related to specific demand changes and their associated supply linkages can be estimated with IMPLAN, the software cannot predict what the total employment in a state will be five years from now. The economy of even a small region is constantly in flux, affected by decisions made in businesses and households, by policies, and even environmental factors that can contribute to whether a region thrives, stagnates, or dwindles. To make a projection of what the economy will look like five years from now, it would be necessary to predict all the demands for consumption five years from now, and know all the new commodities and technologies that will be available. Local availability of resources to meet that demand would also need to be known.
Any results, underlying regional data, or IMPLAN multipliers which are specifically referenced in analysts' published impact reports should adhere to the appropriate citation guidelines. For information about how to correctly cite IMPLAN in your reports, see IMPLAN Citation Guidelines.
1. In IMPLAN, institutions include Households (broken down into nine income categories), Administrative Government, Enterprises (basically corporate profits), Capital, Inventory, and Foreign Trade.