U.S. sweeteners: Combating excess consumption with an excise tax?

Obesity is a public health problem in the United States that has been linked to excess sweetener consumption. The American Heart Association (AHA) recommends no more than 6–9 teaspoons/capita/day, while the U.S. Food and Drug Administration (FDA) recommends 200 calories/capita/day of caloric sweetener consumption. Both recommendations are well below the reported 2016 sweetener consumption levels. We quantify the input tax rates needed to reduce the current excess sweetener consumption level to the AHA and FDA recommended standards. We calculate the joint tax in the United States on two major sweeteners, sugar and High Fructose Corn Syrup (HFCS), to be 31 and 24 cents per pound, respectively, based on the AHA standard, and 19 and 17 cents per pound, respectively, using the FDA standard. These taxes would be roughly the magnitude of the existing sugar and HFCS prices. In both cases, the tax incidence on producers is much smaller than on consumers. Our focus is very different from past studies in that it deals with the effect of taxes on inputs to meet the recommended target rather than a selective tax (sugar‐sweetened beverage tax). If a sweetener tax were implemented, U.S. sugar and HFCS producers would lose US$398–US$489 and US$683–US$844 million per year, respectively.     

The Impact of an EU–US Transatlantic Trade and Investment Partnership Agreement on Biofuel and Feedstock Markets

We assess the impact of a potential TTIP bilateral free trade agreement on the EU and US bio‐economies (feedstock, biofuels, by‐products, and related competing crops) and major trade partners in these markets. The analysis develops a multi‐market model that incorporates bilateral trade flows (US to EU, EU to US, and similarly with third countries) and is calibrated to the OECD‐FAO baseline for 2013–2022 to account for recent policy decisions. The major policy reforms from a TTIP involve tariff and TRQ liberalisation and their direct contractionary impact on US sugar supply, EU biofuel production, and indirect negative effect on US high fructose corn syrup (HFCS) production. EU sugar and isoglucose production expand along with US ethanol and biodiesel and oilseed crushing. EU sugar would flow to the US, US biofuels and vegetable oil to the EU. We further quantify non‐tariff measures (NTM) affecting these trade flows between the EU and the US. EU oilseed production contracts, and EU crushing expands with improving crushing margins following reduced NTM frictions. Our analysis reveals limited net welfare gains with most net benefits reaped by Brazil and not the two trading partners of the TTIP.     

Bayesian Estimation and Selection of Nonlinear Vector Error Correction Models: The Case of the Sugar-Ethanol-Oil Nexus in Brazil

Nonlinear adjustment toward long-run price equilibrium relationships in the sugar-ethanol-oil nexus in Brazil is examined. We develop generalized bivariate error correction models that allow for cointegration between sugar, ethanol, and oil prices, where dynamic adjustments are potentially nonlinear functions of the disequilibrium errors. A range of models are estimated using Bayesian Monte Carlo Markov Chain algorithms and compared using Bayesian model selection methods. The results suggest that the long-run drivers of Brazilian sugar prices are oil prices and that there are nonlinearities in the adjustment processes of sugar and ethanol prices to oil price but linear adjustment between ethanol and sugar prices.     

Nutrient effects in consumer demand systems: evidence from panel data

This papers aims to analyse the demand for main food groups in Spain. Apart from the traditional economic factors (prices and income), our theoretical framework incorporates the nutrient composition of food into a demand model in the form of food attributes, as a proxy to take into account the rising consumer concern about the relationship between diet and health. A CBS functional form is chosen for the empirical model, which is estimated using a complete panel data set. Ten broad categories, nine nutrients and the most relevant socio-economic variables have been considered. Finally, after employing an appropriate selection strategy, the chosen model is used to calculate expenditure, price and nutrient elasticities, as well as the main socio-demographic effects. Results indicate that the introduction of nutrient-based determinants generates elasticities that differ from those obtained when only economic factors are included, particularly in the case of price elasticities. As the nutrients effect is incorporated in the model through adjusted prices, unhealthier food groups (cereals, white meat and eggs, dairy and sugar) become more inelastic as they are associated with higher perceived prices.     

World food prices and poverty incidence in a food exporting country: a multihousehold general equilibrium analysis for Thailand

A multisectoral, multihousehold general equilibrium model of the Thai economy is used to analyze the implications of recent increases in international food prices. Higher food prices, especially staple grains, worsen poverty incidence in Thailand despite the presence of large numbers of poor farmers, many of whom benefit from higher prices. The positive effect on the welfare of poor farmers is dominated by the negative effect on poor consumers. Of the recent price increases for rice, sugar, cassava, maize, soybeans, urea, and petroleum, the increases in rice prices raise poverty incidence the most, despite Thailand being the world's largest rice exporter.     

Food Price Pass‐Through and the Role of Domestic Margin Services

The recent volatility in international agricultural markets has drawn attention to the impact of rising international agricultural prices and the induced price‐insulating measures on consumer food prices. Analyses based on simulation models on this topic typically ignore the role of domestic margin services. We extend the standard Global Trade Analysis Project (GTAP) model to allow for variations in the share of domestic margin services in consumed food across countries. This approach enables us to differentiate consumer prices from producer prices. Following the extension, the results show that domestic margin services reduce the consumer food price volatility for all countries, especially in high‐income countries, where the share of domestic margin services in final food consumption is higher. The effect of price‐insulating border policies is also reduced in the extended model. We find that our extension of the GTAP model greatly improves simulations of the 2007 surge in international agricultural prices. We validate our extension of the GTAP model by showing that the econometrically estimated food price pass‐through is decreasing with income and thus, is smaller in high‐income countries.     

Regional obesity determinants in the United States: a model of myopic addictive behavior in food consumption

Obesity is considered one of the largest public health problems in the United States today. The premise for our study is a body of results from medical research showing that sweetened foods, i.e., an increased consumption of sugars, leads first to sugar addiction and second to carbohydrate addiction and increased consumption of fats. The latter feature is actually responsible for the increase in body mass index (BMI), but the trigger that produces cravings for extra calories is sugar and sweeteners. Based on our results, a myopic model of addictive behavior in food consumption seems to capture the food consuming habits and related outbreak of obesity among the American population. Our results indicate that lower current and past real prices of sugar contribute significantly to higher values of BMI, and increase the likelihood of becoming obese in the United States.     

POPULATION DYNAMICS AND MILK SUPPLY RESPONSE IN THE US LAKE STATES

This paper develops a dynamic model of a dairy cow population and of milk supply response. When applied to the US Lake States, the model provides evidence against the Nerlovian model. It suggests that the pattern of dynamic effects of prices on cow numbers varies for different prices. The estimated dynamic supply elasticities provide some useful information on the nature of dairy production adjustments. For example, the response of milk supply to market prices is found to be very inelastic in the short run. It takes at least 7 years of sustained change to obtain an elastic response to milk price. Also, feed price and slaughter cow price are found to have smaller effects on dairy supply than milk price, but larger effects than risk, hay price or capital cost.     

Competitive Storage,Biofuels and the Corn Price

The use of corn as an ethanol feedstock has been stimulated by US biofuels policy. This has changed both the position and the slope of the corn demand curve and increased the pass-through from crude oil to corn prices. The principal constraints on ethanol consumption and production have been regulation (the biofuels mandate), capacity constraints in ethanol refining and the blend wall, which puts a ceiling on the ethanol content of gasoline. The incidence of these constraints has varied over time. We model these impacts within the competitive storage model using structural break regression analysis. Our analysis shows that the pass-through has varied over time in relation to the share of ethanol in total US corn use. Our analysis provides robust empirical evidence of an increase in the pass-through from crude oil to corn prices over the period from the start of the century to a high level over 2004–2008 when corn use in ethanol was growing very fast. This enhanced sensitivity was driven by competition for corn as an ethanol feedstock with stock demand exerting strong upward pressure on the corn price.     

Pseudo panel data estimation technique and rational addiction model: an analysis of cigarette,alcohol and coffee demands

We use a pseudo‐panel data approach to analyze the relationship between the consumptions of cigarettes, alcohol, and coffee in a rational addiction framework. We find that while cigarette and coffee demands fit well with the rational addiction model, alcohol demand conforms to a model with inventory effects. The results suggest that alcohol consumption increases the marginal utility derived from consumption of cigarettes. Increasing alcohol prices would decrease not only the consumption of alcohol, but also the consumption of cigarettes. On the other hand, increasing cigarette prices do not have the same effect on consumption of alcohol. The cross‐price elasticity of coffee with respect to cigarette price is positive and significant which suggests that coffee substitutes for cigarettes when cigarette prices increase. The cross‐price elasticity of alcohol with respect to coffee price is found to be negative and significant. On the other hand, Morishima elasticities of substitution indicate that cigarette, alcohol and coffee substitute each other along the indifference curve when relative prices change.     

The demand for meat and fish in Spain: Urban and rural areas

The aim of the paper is to explain to what extent meat consumption patterns in Spain are different in rural and urban areas and which are the factors explaining differences and similarities. A demand system using cross-section data from the latest Spanish National Survey has been estimated. Unit values have been used instead of market prices and price and quality effects have been obtained. The main conclusion is that meat consumption patterns in urban and rural areas are not really different as regards economic factors. Some small income and price effect differences have been found, specially for fresh pork and fish, Responses to changes in income and price are higher for fresh pork consumption in rural areas and for fish in urban areas.     

Noncash Income Transfers and Agricultural Land Values

Several studies have considered the impact of government cash income transfers to agricultural producers on agricultural land prices. This study examines the effects of a noncash income transfer on agricultural land prices. The impact of the U.S. sugar program on irrigated land prices in Montana is evaluated using a hedonic regression model. The model considers the impacts of sugar beet price and land characteristics on land prices. The results indicate that noncash income transfers generated by the U.S. sugar program have been capitalized into cropland prices.     

A POLICY ANALYSIS OF EXCHANGE RATE FLUCTUATIONS ON THE RURAL SECTOR: THE EXPERIENCE OF THE CANADIAN RED MEAT INDUSTRY*

Since 1976 the Canadian dollar has devalued by more than 20 percent vis-à-vis the US dollar. Many commentators have hypothesised that the devaluation has provided substantial benefits to Canadian producers of red meat. To test this hypothesis, a policy model of the North American red meat sector is formulated which captures the exchange rate effects on both product and factor prices. The model specification and validation are presented, followed by the simulation results for a 10 percent devaluation of the Canadian dollar. The major conclusion is that the exchange rate has not been a significant factor in the determination of production, consumption and trade of red meats.     

Demand for food in Myanmar (Burma)

Aggregate quarterly time series data from 1975 to 1987 on government procurement prices and open (black) market prices were used in estimating an almost ideal demand system (AIDS) and double-log models for consumption of foodstuffs in Myanmar. The results from the AIDS model were superior to those from the double-log models. The estimated income elasticity of demand for non-meat foodstuffs was high, even for low-quality rice, which has been shown to be an inferior good in other Asian countries. The income elasticities for the non-cereals (groundnut oil, sesame oil, pulses, potato and onion) are positive and less than one. Contrary to expectation, the income elasticities for all meat items are low. Own-price elasticities for most foodstuffs were less than one. The estimated cross-price elasticities indicate the complementary nature of the basic food items to rice. A brief analysis of the effects of taxing Myanmarese rice exports and subsidising consumers indicated that there are net costs to government, unevenly distributed welfare gains to consumers and welfare losses to farmers.     

Estimation of dynamic maize supply response in Zambia

Increased attention on government pricing policies among African nations leads directly to a need for information about producer responses to price adjustments. This is especially true in the case of Zambian maize production. Maize is the most important crop grown in Zambia. It accounts for more than 80% of the value of marketed food crops, is heavily relied on for subsistence consumption, and is a staple food in the diet of all Zambian citizens. This paper analyzes the aggregate price response of maize supply in Zambia using a dynamic regression analysis. As a result, short, intermediate and long-run multipliers/elasticities are measured which can be used to analyze the effect of future price policy changes. It was found that a second-order rational distributed lag model best fits the available data. Estimates of short-run elasticities of supply for maize and fertilizer prices are 0.54 and –0.48, respectively. The corresponding estimated long-run elasticities are 1.57 and – 1.44.     

A hybrid commodity price‐forecasting model applied to the sugar–alcohol sector

Accurate price forecasting for agricultural commodities can have significant decision‐making implications for suppliers, especially those of biofuels, where the agriculture and energy sectors intersect. Environmental pressures and high oil prices affect demand for biofuels and have reignited the discussion about effects on food prices. Suppliers in the sugar–alcohol sector need to decide the ideal proportion of ethanol and sugar to optimise their financial strategy. Prices can be affected by exogenous factors, such as exchange rates and interest rates, as well as non‐observable variables like the convenience yield, which is related to supply shortages. The literature generally uses two approaches: artificial neural networks (ANNs), which are recognised as being in the forefront of exogenous‐variable analysis, and stochastic models such as the Kalman filter, which is able to account for non‐observable variables. This article proposes a hybrid model for forecasting the prices of agricultural commodities that is built upon both approaches and is applied to forecast the price of sugar. The Kalman filter considers the structure of the stochastic process that describes the evolution of prices. Neural networks allow variables that can impact asset prices in an indirect, nonlinear way, what cannot be incorporated easily into traditional econometric models.     

Supply and demand for commodity components: implications of free trade versus the AUSFTA for the US dairy industry*

During the negotiations on the Australia–US free trade agreement (AUSFTA), the US dairy industry vigorously opposed opening the US market to imports of Australian dairy products on the grounds that the US industry would be devastated. Subsequently, the agreement signed in February 2004 made an exception for dairy, providing for only limited quota expansion and no free trade, even at the end of the long implementation period. This paper presents a simulation model of world dairy markets, represented by supply and demand equations for fat and non‐fat components of milk and manufactured dairy products. We use the model to analyse the effects on US milk markets of both a hypothetical agreement, allowing free bilateral trade in dairy products, and the actual AUSFTA. An important contribution to the literature is the derivation of explicit supply and demand relationships for milk components. The components model allows an analysis of long‐term production, consumption, and trade patterns that is not tied to specific, fungible products. Simulations indicate that increased imports from Australia resulting from bilateral trade liberalisation would have resulted in small reductions in US milk prices and production. The much smaller increases in Australian access to the US market under the actual AUSFTA will have even smaller, almost negligible, impacts.     

Recent weather fluctuations and agricultural yields: implications for climate change

We summarize recent statistical analyses that link agricultural yields to weather fluctuations. Similar to other sectors, high temperatures play a crucial role in predicting outcomes. Climate change is predicted to significantly increase high temperatures and thereby reduce yields. How good are such models at predicting future outcomes? We show that a statistical model estimated using historic US data on corn and soybean yields from 1950 to 2011 is very capable of predicting aggregate US yields for the years 2012–2015, where 2012 was much hotter than normal and is expected to become the new normal under climate change. We conclude by discussing recent studies on the implication of predicted yield declines with a special focus on adaptation and commodity prices.     

The Impact of Groundfish Imports on the United States Fishing Industry: An Empirical Analysis

This paper presents an economic analysis of the issue of United States-Canadian groundfish trade. Using an econometric model the parameters of consumer demand for United States domestic and imported groundfish products are estimated. The model is then used to evaluate the potential impact of countervailing duties leveled against imported fish products. It is found that while such duties would likely increase consumer prices for fish in the United States the fisherman's prices would not increase proportionately. The net protective effect to the United States harvesting sector of such tariffs thus seems minimal.     

Agricultural competitiveness: The case of the United States and major EU countries

Growth in the agricultural GDP of four major European countries is compared with US agricultural growth for the period 1974–1993. The agricultural sector's relative prices are taken into account along with economy-wide factor market adjustments. For Denmark, France, Germany and the UK, the effects of declining real prices and changes in input levels on growth in agricultural GDP are relatively small. Total Factor Productivity (TFP) growth appears to be the major contributor to European agricultural GDP growth. In comparison, TFP is the major source of growth in US agricultural GDP, but its rate of growth is lower than the European countries. In contrast, the declining real prices for US agriculture had a relatively large effect on its GDP. However, in recent years, the effects of declining real prices and declining rates of growth in TFP on European agriculture are relatively large. In the longer-run, the relative competitiveness of US agriculture is largely dependent on its ability to sustain and increase growth in TFP.