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Food Insecurity is Down

The USDA just released their annual accounting of food security in the United States.  Good news!  Food insecurity fell to 12.7% in 2015 (down from 14.9% in 2011).  Here's a key graph from the report.

One could quibble with the USDA's method of computing food security (it is based on  responses to a variety of survey questions), but whatever "flaws" are inherent in the USDA methods, as long as they have remained constant over time, the trends should be informative.  

Of interest is how food insecurity measures change with participation in SNAP (aka "food stamps).  Using USDA data on SNAP participation, I calculated per-capita participation which is shown in the following graph.  Though the pattern is somewhat similar (i.e., food insecurity and SNAP participation both rose after the Great Recession and then declined in 2015), it isn't a perfect corollary.  In particular, food insecurity is higher in 2015 than in was in 1995, but today there are more participants per capita on SNAP than there were in 1995.  

Another variable which might relate to food insecurity and SNAP participation is the price of food.  Here is a graph of Bureau of Labor Statistics data showing the price (or CPI) of food relative to the price (or CPI) of non-food items from 1995 to 2015.  

Over at the US Food Policy blog, Parke Wilde notes that even though food insecurity has fallen, it hasn't fallen nearly enough to keep up with food insecurity targets.  The above graphs suggest one potential reason why: food is relatively more expensive today than was the case 20 years ago.  Of course, the overall story is surely much more complicated than that.  

News on GMOs

There have been a couple news items regarding genetically engineered crops.  

The first is a new paper published in Science Advances (co-authored by a couple agricultural economists, David Hennessy and GianCarlo Moschini).  The authors used a large scale survey of corn and soybean farmers to determine the impact of biotech crops on pesticide and herbicide use.  By and large, I'd say the research confirms what has become the scientific consensus on these issues: 

Over the period 1998–2011, our results show that GE variety adoption reduced both herbicide and insecticide use in maize, while increasing herbicide use in soybeans. However, weighting pesticides by the EIQ [environmental impact quotient] lowers the difference in herbicide use by GT soybean adopters (such that the estimated average impact over the study period is statistically indistinguishable from zero). Adoption of Bt maize, on the other hand, is associated with a clearer decline in insecticide use.

This article at NPR interviewed weed scientists Andrew Kniss about the study, and he is critical of the use of EIQ. I believe his argument is that a proper toxicity-adjusted herbicide use might have shown a reduction in herbicide use in soybeans from adoption of GE.   Note also that several of the same authors published a related paper a few months ago showing adoption of GE herbicides led to higher rates of adoption of conservation tillage and no-till.  

In other news, Mark Bittman has an editorial today in the New York Times on the new GMO labeling laws.  I often disagree with Bittman, but I was pleased to see that he had a reasonably accurate portrayal of the science on GMOs:

These foods produced with G.M.O.s have not been found to be harmful to people who eat them. (This isn’t to say they won’t be; our system for declaring products safe leaves much to be desired.) In some instances, the technology has yielded great medical benefits and will certainly lead to more. In industrial agriculture, the technology has led to lower applications of insecticides. But it has also encouraged the growth of weeds that have become resistant to herbicides after years of exposure, often forcing growers to turn to more and different herbicides in a cycle of chemical warfare.

He goes a bit polemical at the end (as if organic and local producers don't use "chemicals" to control bugs and weeds).  And, he goes a bit off the rails in the next paragraph:

Another problem is that by simplifying the growing of almost unimaginably large tracts of crops, especially corn and soybeans, G.M.O.s have become an indispensable crutch for the fertilizer- and pesticide-dependent monoculture that is wrecking our land and water and generating the execrable excess of corn- and soy-based junk food that is sickening our population and decreasing our life spans.

The implication seems to be without GMOs we wouldn't have as much corn and soy.  But, here's data from USDA on the number of acres in the US planted to corn over time.  

Yes, there has been an increase in corn acres since the mid 1980s, but biotech corn didn't start being grown in earnest until about 2005 (that's when more than half of US corn acres were biotech), and of course we had ethanol policies emerge in the mid to late 2000s, which promoted movement to corn acres too.  

More important, look at the data prior to 1950.  We were planting more corn then than now.  But prior to 1950, there was no biotech.  Use of hybrid corn and "synthetic" fertilizer didn't begin in a big way util the late 1930s.  And, yet in the 1920s, we planted more corn than we do now.  So much for the "chemical warfare", "fertilizer-dependent" story that explains our "monoculture" production system.  That is, the figure above suggests Bittman might want to rethink some of the key underlying economic reasons why we plant hardy, easily storeable, easily transportable crops like corn.  

In any event, Bittman's larger point is that he hopes the new mandated QR codes will be used to disclose all kinds of other information about food:

Where are the ingredients from? Were antibiotics routinely administered to animals? What pesticides and other chemicals were used, and do traces of these chemicals remain? Was animal welfare considered, and how? What farming practices were used? How much water was required? Let’s really get down to it. Were the workers who sweated to put food on my table paid at least minimum wage? Did they get health benefits? Overtime? Were they unionized? Protected from pesticide exposure?

I suspect there are some people who would value such information.  However, my research shows most people mainly care about something much more basic: : is this food tasty, safe, healthy, and affordable?  

Why Do Farm Programs Exist?

Even though the last farm bill was passed only a couple years ago, I've already started to hear rumblings of lobbying groups jockeying for position in anticipation of the next farm bill which will likely be debated and go into place sometime in 2018 or 2019.  Some of the discussion has come about because of the low commodity prices which are leading to lower farm incomes.  Discussion is also spurred on by the presidential campaign and talk of the candidates' agricultural advisers.  There are also various groups lining up to try to reform farm policy.

Given that backdrop, now's probably as good a time as any to ask: why do farm programs and farm subsidies exist? The question (for this post at least) isn't whether they should they exist, but rather what explains their existence and persistence?  Also note I'm not talking about the reasons or justifications farm groups provide for why they say they need subsidies.  Rather I'm interested in why they actually exist in the first place.  What are the economic and political considerations that lead to the set of farm policies we see?

I touched a bit on this in a paper that was released this summer.  Here's a summary (see the paper for the references and more discussion).

A common explanation for agricultural subsidies is a model of concentrated benefits and diffuse costs: the costs of agricultural subsidies go relatively unnoticed by the general public because they are spread across all taxpayers, but the payouts are concentrated among a smaller group of farmers who are well organized and who lobby for the redistributive policies. While this explanation can go part of the way to explaining agricultural subsidies, there are many more considerations and empirical insights offered in the academic literature.  

One important fact to note is that farmers aren't subsidized in every country.  In fact, farm subsidies mainly exist in relatively rich, relatively urban countries with small numbers of farmers; in poorer, more rural countries with many farmers, subsidies tend to flow in the other direction - from the farms to the cities.  

This “puzzle” can be explained by political economy (or "public choice") models. For example, in 1994 Swinnen published a political economy model of farm support to explain why policies often differ markedly across countries, commodities, and time. His model views politicians as utility-maximizing actors who seek election in return for redistribution policies that increase political support. His model leads to a number of interesting predictions, such as (1) politically optimal farm subsidies will increase as agriculture’s share of total economic output falls, and (2) transfers to agriculture will increase if agricultural income falls relative to income outside agriculture.

In a seminal work on the topic in 1987, Bruce Gardner conceptualized agricultural support as arising from an attempt at efficient redistribution (i.e., minimizing the deadweight loss of transfers) given a weight assigned to the rents accruing to agricultural producers, which depends on political and economic characteristics of commodity interest groups. Gardner analyzed how agricultural support varied over time and across agricultural commodities and hypothesized that the weight given to agricultural producers depends on economic factors that convey political power. Groups that have more common economic interests and that are able to reduce the cost of lobbying are likely to garner greater redistribution.

Analyzing data on subsidies paid to 17 farm commodities from 1909 to 1982, Gardner found that redistribution to a given commodity fell (1) as the absolute value of the elasticities of supply and demand for the commodity increased, (2) when the number of producers exceeded one million, (3) the more production a commodity shifted geographically over time, (4) for commodities whose production was more geographically diffuse (rather than concentrated in a given region), (5) as farm income increased, and (6) for commodities that were imported less frequently.  Subsequent research by other authors has analyzed the relationship between political donations, lobbying, and congressional voting, and the general finding is that these activities increase subsidies and protection for agricultural groups. 

Finally, I'll mention an issue I rarely hear discussed among economists who have studied the political economy of farm support. Often ignored is the influence of another important interest group: voters and food consumers. A growing body of empirical literature has revealed that the US public is surprisingly interventionist when it comes to farm and food policy. As described by economist Bryan Caplan, voters are able to hold onto a variety of antimarket biases because they provide psychological benefits but are unlikely to impose significant costs (at the individual level). Thus, one possible explanation for why inefficient agricultural subsidies exist is that voters elect politicians who favor them. That is, one reason agricultural subsidies exist because a majority of voters want them. 

Assorted Links

  • I had a nice discussion with Ron Hayes on the Oklahoma Farm Report on what we've learned from the Food Demand Survey (FooDS) and we also covered several other issues affecting agricultural producers.
  • My blog post on the Berkeley soda tax has prompted some reaction from Parke Wilde at US Food Policy blog and Marion Nestle at the Food Politics blog. Despite what is implied by these posts, I haven't changed my stance on the issue: acknowledging a reduction in soda consumption from a soda tax isn't the same as saying a soda tax causes a substantive change in weight or public health or that it improve's people's overall well-being.  
  • The podcast Missed in History had a recent episode on Butter vs. Margarine, and it is an interesting account of how protectionists tendencies can often hinder new food innovation, and it outlines the often grey area between consumer protection and producer protectionism

Berkeley Soda Tax

There have been a number of news stories about this new paper in the American Journal of Public Health that studied the impact of Berkeley's new sugar-sweetened beverage tax (aka "soda tax").  The authors surveyed residents of Berkeley before and after the implementation of the tax and asked about beverage consumption.  They also surveyed people in Oakland and San Francisco (who were presumably not affected by the tax) before and after the tax.  By comparing these two groups before and after, the authors can calculate something like a difference-in-difference estimate of the impact of the tax.

What did they find?

Consumption of SSBs decreased 21% in Berkeley and increased 4% in comparison cities (P = .046). Water consumption increased more in Berkeley (+63%) than in comparison cities (+19%; P < .01).

The results have been largely heralded as indicating that the taxes "work".  Here is a bit from the organization Healthy Food America:

this study provides another key piece of evidence that sugary drink taxes work, not just to raise revenue for important community priorities, but also to reduce consumption and shift sales from an unhealthy product to healthier drinks, such as bottled water,” said Jim Krieger, MD, MPH, executive director of Healthy Food America. “As four other communities consider their own taxes this fall, the Berkeley findings join those from Mexico and elsewhere to show that sugary drink taxes have great benefits – especially in low income communities.”

We shouldn't be too surprised that a tax reduces consumption - more confirmation that the demand curve slopes downward.  Yay Econ 101!  The real question about soda taxes hasn't been "whether" but "how much" consumption falls when prices rise.  

First, I'll touch on some conceptual issue related to the interpretation of the study then offer a few thoughts on the study methods.  

As indicated, I've seen numerous studies showing that this paper "proves" that soda taxes "work."  I'm not sure what "work" means.  There have been scores of studies projecting impacts of soda taxes, and virtually all suggest the taxes will lower soda consumption by some amount (though curiously the evidence is much less clear if you look at studies that have looked at actual sales data before and after taxes).  But the goal isn't to reduce soda consumption for the sake of reducing soda consumption.  The goal, presumably, is to make people's lives better - to reduce obesity or other dietary related diseases.  On this front, the evidence is much less clear that soda taxes will have a substantive effect on body weight.  Moreover, as other studies have shown, we need to be cognizant of what people eat and drink instead when they substitute away from higher-priced soda, and many of these options could have adverse health impacts as well.

The largest conceptual issue in all this is whether a tax can actually make people better off.  Yes, a tax can reduce consumption.  But, does that mean people are happier?  Even if people switch to a lower-priced alternative after a tax, it doesn't follow that they're necessarily better off.  After all, consumers could have chosen the lower-priced alternative before the tax if that's what they really preferred.  Thus, the tax causes people to choose a lesser-preferred option.  This is a standard economic result: consumer welfare falls when prices rise.  Here's what I wrote in a piece for the Canadian Journal of Diabetes

More fundamentally, one must ask what conceptual basis is being used to assert that SSB taxes will increase consumers’ welfare? Presumably, some consumers already consider health impacts when they choose what to eat and drink. More generally, taxing food or SSBs is analogous to reducing consumers’ real income, which almost certainly harms the consumers (9). Perhaps consumers suffer from lack of information or other cognitive biases, but even so, Lusk and Schroeter (10) show that only in very limited cases would a tax increase consumers’ long-term welfare. Sugden (11) further points out the philosophical (not to mention political) problems encountered when attempting to base public policy on the presumption of consumers’ behavioural biases. In particular, asserting that someone else consumes “too much” SSBs presumes that the nutrition expert or politician knows better which factors most impact an individual’s ultimate well being than the individual herself or himself. Such paternalism may be justifiable in the case of children or the mentally impaired, but it is less compelling when considering the general population. It is likely the case that excess consumption of SSBs will lead to health problems; however, people care about tasty, satisfying foods and beverages in addition to health. Life is full of difficult tradeoffs, and it is conceptually problematic for a third party to deem another person’s choices wrong or incorrect, given that different people have different preferences, incomes and constraints (assuming that people are making decisions with accurate information about the risks they face). If the argument is that people do not understand the risks of SSBs, then the appropriate policy response is information provision, not a tax.

I went on to tackle the argument that rising public health care costs justify the tax, but I won't belabor the point: showing a tax "work" involves much more than showing that it reduces consumption.  

Now on to the Berkeley study's methods.  Overall, this is a nicely designed study that uses a difference-in-difference approach to try to tease out a causal effect.  My biggest beef with the study is that it relies on consumers' stated consumption behaviors.   The Berkeley tax has been a high profile event, and no doubt many Berkeley residents were aware of the debate and policy change.  It is possible that what we're picking up is some form of social desirability bias: Berkeley residents know they and their neighbors passed a tax on soda, and now here's this researcher asking about soda consumption.  The social pressure is clear: I don't want to be the kind of person who consumes the product everyone else wants to tax.  I don't want to look like some kind of social outcast, so I'm going to hedge and give a lower level of consumption than I actually consume.  

Why didn't the authors do this study using scanner data based on actual grocery sales?  These data are easily attainable from companies like Nielsen and IRI and can't be much more expensive than the surveys the authors conducted.  Even still, there would be other questions about the longevity of the effect, the substitution toward other food and beverages after the tax, the degree of substitution across city boundaries, and so on.

All that said, I'm more than willing to accept the finding that the Berkeley city soda tax caused soda consumption to fall.  The much more difficult question is: are Berkeley residents better off?