The terms “economic impact” and “economic contribution” are often used interchangeably. However, the results they provide differ significantly. Impact analyses predict economic shifts based on change in an industry. Contribution analyses model the effects supported by an existing business or industry in a defined area. Industry contribution analyses are particularly important to groups like trade organizations or businesses that would like to determine their overall economic contribution at their current production rate.
Regulatory standards, depending on your reading of the latest IRS Tranches and guidance, have either changed or come into clearer focus when it comes to what the CDFI Fund identifies as a "successful" Opportunity Zone (OZ) project. Regardless of your reading of IRS's latest missives, there are a few tactics worth highlighting that will ensure that the economic impact analyses describing the significance of your projects and the potential economic significance of your program (or portfolios) will stand ready for review when the time comes to evaluate their contribution to the economic well-being of your service area.
Many fail and few succeed when it comes to breaking ground on development projects as complicated as those in the mixed-use category. Some languish, some fail, and others suffer hostile take-downs. Still, there are a handful of foreseeable pitfalls which you can easily dodge while in the planning phase of a project. Here are a few of these traps that we’ve observed and how best to avoid them.
Economic data flows and collects from sources both varied and unique. But which sources are significant and why? And how complex does this world of big data get when it comes to trying to explore the economic landscape? Cue Ms. Frizzle’s “Seatbelts, everyone!” line and let’s take a tour of economic data sources on the Magic School Bus!
The explosion of social media is a gold mine, especially for Economic Development Corporation’s (EDCs).
Why, you ask?
Ever since the likes of IBM’s Watson, Google Trends, and Bloomberg Terminal emerged, data-driven decision making shifted from fad to fixture in the business world. But the fundamental shift that big data made in the world of research didn’t change which questions to ask, but rather how we ask those questions. Or, as Douglas Adams might say, you need to really know what you’re asking before you switch on Deep Thought.
No two sectors (or businesses) are alike. One fundamental differentiator is that some sectors make goods and some sectors distribute goods as a service. This simple but substantial distinction can significantly affect the quality or range of your results while modeling economic impacts.
Barely more than a year ago, e-scooters suddenly flooded city streets across the country. But their presence wasn’t always met with enthusiasm. Antagonistic cities and towns cited public health concerns, street congestion, and even harassment as cause for banning the popular short-trip transportation option altogether.
When scooters swooped into Richmond, Virginia overnight last August, battle lines emerged just as fast. Like other cities where the electric, dockless flock cropped up with little to no warning, some decried while others praised the newcomers. Several groups of residents urged government leaders to roll out the welcome mat instead of red tape, but politicians voiced concerns about safety as they issued directives to squash the permit-less scooters.
There are several advantages to using MRIO in place of traditional single-region input-output analysis techniques. Mainly, MRIO exposes the connections and dependencies between regional economies by allowing individual regional identities to be maintained as a part of a broader regional analysis. In IMPLAN, results are filterable so that in an MRIO analysis, the incoming trade to a region can be isolated from or aggregated to the local impacts of the larger surrounding region.