Natural Resource Potpourri

I don't have the expertise in natural resource economics to really do a lot of writing on the topic. However, I want to make sure we cover it at least occasionally, so I'll probably stick to this potpourri format for now. I hope some day we find a contributor who is interested in this area.

Lynne Kiesling has a great post on the benefits of retail electric markets. Living in the state of Texas, I can attest to the advantages of this kind of direct competition between providers. Here's Kiesling:

The report’s policy recommendations are in keeping with the idea that market processes provide opportunities for producers and consumers to benefit through experimentation and trial-and-error learning, and that product differentiation through innovation is the most potent form of dynamic competition for creating meaningful consumer benefits.

Digital Trends has an interesting piece on electric vehicles and their actual impact on the environment:

The best outcome for EVs was a 24-percent improvement in global-warming potential over the average gas powered car, and between 10 percent and 14 percent over diesel. These numbers are nothing to sneeze at, but they change radically depending on the source of electricity that EVs are powered on. 

The above numbers rely on the European power mix, which more heavily favors nuclear, hydroelectric, and renewable sources of energy than other parts of the world. 

The global warming potential for EVs that rely on natural gas – generally considered to be the cleanest fossil fuel – show an improvement of only 12 percent over gasoline, and break even with diesel. 

Most alarming, EVs that depend on coal for their electricity are actually 17 percent to 27 percent worse than diesel or gas engines. That is especially bad for the United States, because we derive close to 45 percent of our electricity from coal. In states like Texas, Pennsylvania, and Ohio, that number is much closer to 100 percent. That’s right folks; for residents of some of the most populous states, buying an EV is not only toxic, it’s warming the planet more than its gas-powered counterparts.

Potpourri

Don Boudreaux discusses the issue of monopsony power and the minimum wage in an interesting fashion.

Prompted by criticism from local food advocates, Jayson Lusk clarifies his position. It continually baffles me that so many people equate opposition to subsidies for or outright government provision of some good or service with opposition to that good or service itself.

Paul Krugman's most recent comments on the minimum wage have sparked several productive discussions in the blogosphere. One post in particular stands out to me. In it, Scott Sumner uses this episode to illustrate the difference between economists who take basic theory seriously when it comes to practical matters of policy and those who don't.

The EPA continues to generate policy uncertainty in the corn markets by failing to set volume obligations. On top of this, repeal of the Renewable Fuels Standard continues to garner support on both sides of the aisle. What exactly this potential repeal would mean for corn producers, I don't know. My initial thought would be that corn prices would fall, causing losses in the short run, but that input prices and planted acres would adjust (over time) and the policy-change-induced losses would cease. Additionally, we could expect lower fuel costs and slightly lower food prices if the RFS were repealed.

Extreme Weather in Kansas

One of theorized consequences of climate change/global warming is that more extreme weather is supposed to occur. One possible measure of extreme weather is the number of days where the temperature meets or exceeds 90 degree fahrenheit. This is one of the monthly variables that NOAA happens to collect and report for each weather station in the country.

This post examines monthly weather data in Kansas from 1900 through 2013 to determine if the number of days where the temperature has met or exceed 90 degrees has increased over time. For this analysis, data from every weather station in Kansas was collected from the NOAA website. All the stations within a particular county were averaged together to produce a county number for each month and each variable.