[MUSIC PLAYING] TODD SCHMIT: I could go tomorrow and find out what were the sale-- apple sales by farmers last year in New York. Yeah, you can get that. What you can't get easily, you know, on the internet, is how farmers, in this case, spend that money. How much of those sales do they put towards their labor force, towards their various expenditures, and where they spend it?
In this particular case, we were fortunate, because we have a pretty strong Cornell Cooperative Extension system. A program, the Lake Ontario Fruit Team, works with apple growers primarily. They collect a lot of that data. So we were able to utilize that sort of information to get our analysis very specific to New York.
And in fact, when you look at the results, if I say, use the secondary data that I can buy versus the data that I collected and used, we actually under-- would understate total impacts by nearly 20% if I just used the existing average representative secondary data. Which is pretty huge. I mean, it actually surprised me how much of a difference it would make. If I'm the New York Apple Association trying to understand the contribution we make to our economy, I don't really care, you know, what tomato processors are doing, right? You want that specificity.
By and large, people just want to have confidence in their numbers, right? The problem is it takes a lot of time, takes a lot of cost to do that primary data collection on your own. Those types of numbers are really important to organizations like the Apple Association. They're also very important to people in Albany understanding what these sort of generative effects of industries are.
We've received your request
You will be notified by email when the transcript and captions are available. The process may take up to 5 business days. Please contact email@example.com if you have any questions about this request.
The New York apple industry's boost to the state economy is 21 percent greater than traditional models have suggested, according to a new study published by Todd Schmit, an associate professor at the Charles H. Dyson School of Applied Economics and Management. Schmit's research used data collected by the Cornell Cooperative Extension.