Showing posts with label agriculture. Show all posts
Showing posts with label agriculture. Show all posts

About agricultural policies in developing economies

Policy advice and intervention in the poorest developing economies are all about agricultural policy. How to increase crop yields, how to select crops, how to empower various players, how to get them onto markets. The results, overall, have been dismal: the poorest countries have grown less than the world average, thus they are getting even poorer in relative terms. The reaction to this? Thinking even harder about agricultural policy and intervention.

A recent example is a paper by Erik Jonasson, Mateusz Filipski, Jonathan Brooks and Edward Taylor that builds an elaborate model that tries to understand why some farmers do not participate in markets, which should help in specialization and reaping gains from it. They then evaluate the impact of various policies, and find some could lead to improvements in welfare, but nothing dramatic.

Yet, the most important change that should be contemplated is completely absent from this paper: getting subsistence farmers away from agriculture altogether. Obviously, they are not living in areas that are good for farming, so why to reinforce their dependence on the wrong trade. Countries with excess of labor supply should rather industrialize and import if necessary food. This is where the gains from specialization (and trade) are.

Is index-based weather insurance useful?

Whenever you are facing a risk, you want to be able to hedge against it (at least if you are risk averse). For this, there are all sorts of insurance policies. There are also markets in all sorts of instruments that allow you to find the right contingent claim for your situation. This includes farmers (and others) who want to hedge against meteorological risks. If you crop yields depend on weather patterns, you are looking for securities that pay out depending on some weather statistic. And they are available and have been heavily pushed by aid agencies in developing countries.

Chiratan Banerjee and Ernst Berg say they may not be such a great idea. They take the examples of rice farmers in the Philippines who bought wind-speed based indexes on the hypothesis that rice yields are lower when there are typhoons. But rice is remarkably resistant to typhoons and wind in general, the reason why it is so popular in the region in the first place. This means that rice farmers are heavily over-insured. That is especially bad and farmers are now confused about the concept of insurance as it looks like they face more risk than before.

Seemingly unrelated regressions and lamb carcasses

The great thing about the Internet is that one can discover unexpected uses of familiar techniques. Or one can search for new applications with one's tool set. So what about SUR and lamb carcasses?

Vasco Cadavez and Arne Henningsen are responsible for this paper. I have nothing to add to the abstract: The aim of this study was to develop and evaluate models for predicting the carcass composition of lambs. Forty male lambs of two different breeds were included in our analysis. The lambs were slaughtered and their hot carcass weight was obtained. After cooling for 24 hours, the subcutaneous fat thickness was measured between the 12th and 13th rib and the total breast bone tissue thickness was taken in the middle of the second sternebrae. The left side of all carcasses was dissected into five components and the proportions of lean meat, subcutaneous fat, intermuscular fat, kidney and knob channel fat, and bone plus remainder were obtained. Our models for carcass composition were fitted using the SUR estimator which is novel in this area. The results were compared to OLS estimates and evaluated by several statistical measures. As the models are intended to predict carcass composition, we particularly focused on the PRESS statistic, because it assesses the precision of the model in predicting carcass composition. Our results showed that the SUR estimator performed better in predicting LMP and IFP than the OLS estimator. Although objective carcass classification systems could be improved by using the SUR estimator, it has never been used before for predicting carcass composition.

Convergence in recessions

Growth theory and data teach us that, at least in developed countries, economies tend to converge in the long run: the dispersion across regions or nations of per capita income (or similar indicators) tends to decline. While this is a long term phenomenon, there is a priori no reason to believe this is a constant process.



Eldon Ball, Carlos San Juan and Camilo Ulloa study total factor productivity in agriculture across US states. While they indeed find a general trend towards convergence, it turns out that its speed is much faster during recessions. Why would this happen? If we follow Schumpeter, the worst firms should be dropping out during a recession, thereby relatively increasing TFP in the worst areas. And voilà, you have faster convergence. But only farm-level data would tell whether my conjecture is true.

Aid and remittances as hedges against food price shocks

Food is a substantial part of household expenses in developing economies, and in many of the latter foreign aid and remittances from emigrants provide a substantial part of national income. As world food prices have been subject to large fluctuations lately, causing much grief and even riots, it is natural to ask whether aid and remittances can provide some smoothing against the effects of these fluctuations.

Jean-Louis Combes, Christian Ebeke, Mireille Ntsama Etoundi and Thierry Yogo use a cross-country panel data set to study this question. First, they confirm that food fluctuations have a notable impact on aggregate consumption, especially in the poorest economies. Second they find that aid and remittances do help, and remittances seem to be more efficient at hedging. Indeed, an aid-to-GDP ratio of 29% is theoretically necessary to absorb food price fluctuations, while 9% is sufficient is for remittances. Only Mozambique and Nicaragua satisfy the first, while a few more countries satisfy the second.

The economic behavior of bees

I find it fascinating that there is also plenty of Economics in the animal kingdom. Two recent papers about bees just caught my attention.

Antoine Champetier studies the interaction of bees and farmers, as bees play an important role in pollination and are thought to be subject to a mysterious decline in numbers. He takes California almonds as an example and builds a model of pollination supply with hive owners and bees that forage. One aspect appears to be rather important: economies of scale in the hive, as larger hives have an easier time regulating the temperature and can devote more time to more aggressive foraging. Champetier formulates a spatial model of foraging and coordination in the bee colony, where energy used and gained by foraging is assessed, as well as time costs in each step of pollen acquisition and storage.

Noam Bar-Shai, Tamar Keasar and Avi Shmida study what makes that a bee departs early or stays longer in a flower patch. Looking at videos, they concluded that bees cannot count, but are rather governed by clues left by odor marks (to prevent revisiting the same flowers) and current foraging success.

Pollution has an impact on worker productivity

Pollution regulation is typically cast as a game between citizens and firms, the first suffering the consequences of pollution while the second are the origin of the pollution. In such a case, there is no incentive for firms to abate pollution, and the government has to mediate. But could a case be made that firms should be willing, individually or collectively, to reduce pollution. One way can be green labeling, which could increase the demand for their products. Another would be if firms realize pollution has an impact on their on productivity or on the labor supply.

Joshua Graff Zivin and Matthew Neidell take the worker productivity angle by using a dataset of dairy farm workers from a large farm in the Central Valley of California. In particular, they look how ozone levels impact the output of piece rate workers. At it is substantial. For example, a 10 ppb reduction of ozone increases productivity by 4.2%, noting that the standard deviation of ozone levels is 13 ppb. And if you object that some of the workers fall under minimum wage law and may not exert the right effort, be reassured, the authors took that into account. In addition, this impact happens even when the ozone level is well below the current national standards. Realizing this, industry should be more willing to accept the suggested tightening of pollution standards for ozone, and for nitrogen oxides and volatile organic chemicals that are the source of ground-level ozone.

Does it make sense to subsidize biofuels?

Ina relatively short time, biofuels have become remarkably popular, especially as an additive to regular petroleum based fuel. This is at least in part due to massive subsidies from the US to fuel and corn producers. As biofuels compete with food, this has lead to major price increases for corn and sugar, with adverse consequences for importing countries. This begs the question: is it actually a good idea to subsidize biofuels? I mentioned previously that it is preferable to tax other energy products rather than subsidize alternative energies (1, 2), but let us revisit this issue.

Subhayu Bandyopadhyay, Sumon Bhaumik and Howard Wall use a general equilibrium trade model and confirm that if there is a Pigovian tax on conventional fuels, subsidies are not needed. But if the Pigovian tax is not available or too low (as is the case in the US), then a subsidy for biofuels makes sense, But if the country in question is large, there are other implications through increased worldwide demand for food. In that case, a food exporter wants to subsidize biofuels and tax conventional fuels. A food importing country would only want to subsidize biofuels if the pollution reduction effect is large enough.

Hector Nuñez, Hayri Önal, Madhu Khanna, Xiaoguang Chen and Haixiao Huang look more specifically at the interaction of policies in the US and Brazil, the two largest producers of biofuels. Indeed, the US imposes a special tariff on the importation of biofuels, in particular the more advanced sugarcane based one from Brazil. Brazil is also the largest producer and exporter of beef. The paper uses a multi-country, multi-good model, unfortunately with a partial equilibrium, but it takes into account possible crop rotations and different categories of land. It concludes that eliminating the tariffs would significantly reduce biofuel production in the US, with the latter importing biofuels from Brazil and exporting corn. While this reduces producer welfare compared to the status quo, it increases consumer welfare. Given the political system in the US, guess what will happen.

Paying farmers for landscaping

Switzerland has had for centuries a rather unique system of communal land tenure for the alpine areas. Indeed, cattle owners send their livestock up from the villages for the Summer season, and these grazing areas are commonly owned and rights to them are inherited. The returns of agriculture in the mountainous areas are, however, far from competitive in this era of globalization, and Switzerland has resorted to compensating farmers for keeping the cows up there. The reason is that cows and some other farming bring landscaping benefits, for example keeping the grass short improves snow management for avalanche prevention and skiing, or preserves biodiversity and prevents invasive plants to take foothold. These direct payments are very close to making farmers civil servants. Note that payments depend on the size of the farm, its location, the treatment of animals and the general ecological friendliness of the business.

A pair of recent papers analyze the new situation for farmers in the Swiss Alps. Chiara Calabrese and Gabriele Mack used an agent-based model to study how incomes of a large number of heterogeneous livestock farmer families would evolve until 2020. Different scenarios are explored (a not described status quo, more subsidy for summered livestock and lump sum subsidy to all alpine farmers proportional to farmed area). Results are not unexpected (no change, more summered livestock and income, less of both). Prices are assumed to grow at a steady rate unknown to reader. Give the recent wide fluctuations for food, that needs to be made more explicit and additional scenarios are needed. Also, this study basically assumes that the government does not face a budget constraint and will always be willing whatever it takes to maintain a policy. At least the costs of the program should be reported.

The other study by Nadja El Benni, Stefan Mann and Bernard Lehmann looks at how these direct payments to farmers influence the distribution of incomes. Due to the terrain, farms are small almost everywhere in the country, and Gini coefficients for farmer income have been rather low compared to other countries. The new policy increased the Gini coefficients even though the payments were implemented in part to redistribute income and they constitute now 79% of a farmers income. The reason is that the disparities in market income have increased tremendously and direct payments are tied to farm size after all.

Time for an agricultural revolution in Africa?

When you think about income differences across the world, Africa is really depressing. It seems nothing is making a lasting impact in terms of policy for it to catch up with the others, and seeing how Asia managed to transform itself makes you wonder what is fundamentally wrong. While one may think this has to do with misguided policies, so much has been tried that something ought to have stuck. But no. One thing that helped Asia is that evolution in rice brought an agricultural revolution that freed human resources for manufacturing, so could such a revolution also happen in Africa?

Donald Larson, Keijiro Otsuka, Kei Kajisa, Jonna Estudillo and Aliou Diagne claim that several areas in Africa are suitable for rice, but local diets and tastes are too diverse for rice to have the success it had in Asia. The productivity of other crops needs to improve as well. So it does not look like there is a ready-made solution that will kick-start the agricultural revolution soon, despite some very localized successes.

That said, why insist of improving agriculture on a continent that is visibly not appropriate for this? Much like telecommunications in Africa jumped over landlines directly to mobile telephony, why not bypass agricultural development straight to manufacturing? One argument against this is the large transportation costs that make local agriculture essential and manufacturing away from the ports unprofitable. But why insist on keeping the population on the countryside? Why not develop coastal cities and take advantage from returns to scale there, like Singapore and Hong Kong did, and

Is fair trade unfair?

US colleges make big money from the sale of all sorts of items imprinted with their logo, in particular clothes. Of course, to maximize the margins on these goods, their production has been mostly outsourced off-shore, to factories that were often likened to sweatshops. Whether a large portion of those factories were indeed providing substandard working conditions is a debate I do not want to enter for now. The fact is that student activists demanded that those factories should not be retained for production. As universities and their suppliers complied, the poorest workers were out of a job, and the university gift stores are making less of a profit. Unintended consequences.

Aurélie Carimentrand and Jérôme Ballet explore a similar story with fair trade. Their case study is about quinoa from Bolivia. The goal of fair trade is to give local producers in developing countries a larger share of the retail price of their product. But beneficiaries need to get certified, and this process does not necessarily favor the most needy, in particular as they need to obey some rules. In the case of Bolivian quinoa, this works through the membership in a growers' association which markets crops to fair trade networks. As associations typically are, this one is dominated by the big producers. The latter are located in the big plains, where they could get the full advantage of mechanization. The small producers are on steep terrain and cannot use tractors. The latter are the poorest, but, as the authors argue, they benefit the least from fair trade, often even skipping membership. Indeed, the association pays the same unit price to all members, and given the differences in production costs, this exacerbates inequalities.

The authors claim that fair trade has failed here. It made inequities among producers worse. But was domestic income equality really the primary role? Isn't it really about world income inequality? There, clearly fair trade is transferring some rents to developing economies. Whether they are large enough to be worth the trouble is another question.