Spatial price premium transmission for Meat Standards Australia‐graded cattle: the vulnerability of price premiums to outside shocks

Studies of market integration show that price changes are transmitted spatially through arbitrage. Transmission across differentiated agricultural products is important to investigate, but it has not been explored given its complexities for assessment. Using data from Australian cattle markets, we examine the dynamics of Meat Standards Australia price premium transmission between states. An impulse response function analysis using Bayesian vector autoregression with sign restriction identification shows that shocks to prices and price premiums are partially transmitted contemporaneously between markets and it takes several weeks to complete transmission. In addition, we find an asymmetry of price and price premium shocks originating in Southern Queensland that have an inverse immediate impact in New South Wales, and take months to transmit the usual price response. This outcome may be explained by differences in cattle availability in each state, which can be related to forage availability due to weather conditions. Based on these results, producers can forecast fluctuations on price premiums and adjust their cattle supply accordingly.     

NEGATIVE SUPPLY RESPONSE AND THE ROLE OF PRICE EXPECTATIONS IN A TWO-PERIOD MODEL OF CATTLE PRODUCTION

This paper incorporates a representation of producers' price expectations (ARIMA) in a two-period production process to characterise short-run cattle supply. The model provides a framework for examining the role of biological factors and changing expectations of future cattle prices in generating a negative short-run supply response. The biological link between cattle generations requires the farmer to make a decision between production today and production tomorrow. This decision is based on a trade-off between the possibilities of increasing current profit levels by increasing current output weighted against the possibilities of increased future profit by maintaining animals in inventory under the expectation of future price increases. Application of the model to Canadian data for the period 1978-81 shows that the necessary condition for a negative supply response exists, but that the total supply elasticity remains positive.     

COVID-19 and the Canadian cattle/beef sector: Some preliminary analysis

Canada's cattle/beef sector has already weathered a shock after a 2003 case of BSE resulted in closed borders and industry restructuring. Now, the sector has to adjust to similar shocks due to COVID-19. This paper examines the supply chain from the consumer up to the cow–calf producer by considering consumer reactions, labor market constraints, and supply response. A quarterly market model of North American cattle and beef markets is used to examine price and revenue impacts associated with the market disruptions. Depending on the scenario, there is considerable price and revenue suppression at all levels of the market.     

Canadian Cattle Cycles and Market Shocks

We analyze Canadian beef cattle cycles using time‐series properties of four variables: total cattle inventories, beef cow inventories, beef supply, and beef prices. Our aim is to provide up‐to‐date estimates of the duration of the cycles, and to determine whether or not some of the recent market shocks can be associated with changes in the nature of the cycles. Spectral decomposition of the variables reveals 10‐year cycles in total cattle inventories, beef cow inventories, beef supply, and beef prices. Seasonal and annual cycles are also found in beef supply and prices, respectively. Using intervention analysis, exchange rate appreciation, feed price escalation, and bovine spongiform encephalopathy (BSE) are modeled as pure jumps. Exchange rate and feed price shocks are modeled as having started in 2002 and 2007, respectively, and persisted up to the end of the sample period, while BSE is modeled as a shift for the period 2003 to 2005. We find significant impacts of the three shocks on total inventories, but beef supply appears to have been impacted by exchange rates and BSE. A spectral comparison of the pre‐ and post‐shock periodograms of beef supply reveals a 58% reduction in the peak amplitude of the beef supply cycle.     

Economic impacts of El Niño southern oscillation: evidence from the Colombian coffee market

El Niño Southern Oscillation (ENSO) is a naturally occurring phenomenon that affects weather around the world. Past ENSO episodes have had severe impacts on the economy of Colombia. We study the influence of ENSO on Colombian coffee production, exports, and price. Our structural econometric specification is consistent with an economic model of the market for Colombian coffee which, in the short run, is characterized by a downward‐sloping demand curve and by a vertical supply curve. We show that El Niño (i.e., positive shocks to ENSO) is beneficial for Colombian production and exports and decreases the real price of Colombian coffee. On the contrary, La Niña (i.e., negative shocks to ENSO) depresses Colombian coffee production and exports and increases price. However, the overall impact of ENSO shocks is small. Both in the short run and in the long run, shocks to international demand for Colombian coffee are more relevant than supply‐side shocks in Colombia in explaining the dynamics of the price of Colombian coffee. Our results suggest that a given coffee price shock can have beneficial, detrimental, or negligible effects on the Colombian economy, depending on its underlying cause. As a consequence, policy responses to coffee price shocks should be designed by looking at the causes of the shocks.     

The Variable Response of Agricultural Supply to World Price Instability in Developing Countries

This paper analyses the effect of world price instability on the agricultural supply from developing countries and determines to what extent this effect is dependent upon the macroeconomic environment. Producers from agricultural commodity‐exporting countries are particularly vulnerable to the fluctuations of world prices: they are widely exposed to price shocks and have little ability to cope with them. Nevertheless, the effectiveness of risk‐coping strategies is conditioned by the influence of macroeconomic factors (infrastructure, inflation and financial deepening). Thus country‐specific price indices are established, and the response of production indices to price instability indices is estimated by using a panel model including macroeconomic variables which interact with price instability. Such analysis is based on a sample of 25 countries between 1961 and 2002. The results highlight a significant negative effect of the world price instability on supply, and further show that high inflation, weak infrastructure and a poorly developed financial system exacerbate this effect.     

A Two Factor Model for Water Prices and Its Implications for Evaluating Real Options and Other Water Price Derivatives

Single stochastic water price processes may not be able to capture relevant impacts of temporary shocks and permanent shocks on water prices. In this paper, a two factor modeling framework is proposed to incorporate the impacts of these shocks. The model is used to analyze the optimal investment rule when such a composite water price process applies. It is found that ignoring the information on long‐run water price, as in one factor models, can cause an exercise of the real option too early, and result in even negative investment net present value when long‐run water price is low. Giving rise to closed form solutions of European option values, the modeling framework also contributes to facilitate the imminent emergence of water price derivatives in water markets.     

An Econometric Model of the Colombian Beef Sector: 1950–1970

Recent theoretical and empirical studies of beef cattle producers by Barros, Jarvis, Nores, Reutlinger, and Yver have focused on producers' supply response assuming cattle represent consumption goods and capital goods. To differentiate producer price response for cattle sold as consumption goods and cattle retained as capital goods requires data on herd and slaughter age-sex structure. This has limited the range of econometric work which could be carried out in many developing countries. This study utilizes a time series of the Colombian cattle herd which was recently constructed by Rivas and Valdes and which has the necessary age-sex and slaughter data to develop a complete system of structural equations representing the simultaneous determination of demand and supply for Colombian cattle over the 1950–1970 period.     

Inflation,capital markets and the supply of beef

This paper puts forward an explanation for the negative elasticity of supply of beef found in many LDC's. As is explained by Jarvis (1974), the elasticity of supply of beef may be negative in the short run due to the dual role of cattle as both a capital and a consumption good. But in some LDC's, and especially in Latin America, one may find a long-run negative association between slaughter and prices, that cannot be explained by assuming shocks to slaughter are causing changes in prices. It is no coincidence that Jarvis' hypothesis itself was developed to explain developments in Argentina, a country with chronic high inflation. The paper argues that this long-run relationship cannot be explained by the Jarvis hypothesis, and offers an alternative hypothesis based on the demand for cattle as a hedge against inflation. The long-run negative association between slaughter and prices has been found in high inflation countries. High inflation combined with excessive regulation of capital markets cause the well known phenomenon of desintermediation. It is argued here that cattle plays a role in the inflation hedged portfolio that is then demanded. Therefore, with imperfect capital markets the supply of beef is affected by the demand for cattle as an asset, and this demand, in turn, is affected by inflation. This paper will only attempt to prove the link between imperfect capital markets and the supply of beef. The way inflation in a repressed capital market leads to an imperfect capital market is not addressed here, for reasons of brevity. The paper will develop a model that in the context of imperfect capital markets results in a negative elasticity of supply. The model will then be tested with Uruguayan data. Uruguayan data are very adequate to test the hypothesis because they cover both a period without inflation and a period of high inflation. The results support that cattle was used as an alternative to money holdings when inflation signified a big tax on the latter. Inflation therefore affected the demand for cattle, or, conversely, the supply of beef.     

Are Shocks Transitory or Permanent? An Inquiry into Agricultural Commodity Prices

This paper contributes to the contentious topic of whether shocks to agricultural commodity prices are permanent or transitory. This is an important issue with regards to forecasting, economic modelling of agricultural prices and risk management. Past studies have not accounted for important characteristics of agricultural prices that matter when testing whether shocks to prices are permanent or transitory. These include the presence or absence of a deterministic trend, the possible break in the trend, non‐stationary volatility, and the problem of the initial deviation of commodity prices from their long‐run mean or trend. We conduct a comprehensive test that incorporates all these characteristics known to plague agricultural commodity prices. Though the conclusion is mixed, the balance is in favour of agricultural price shocks being permanent in nature. This result departs from the general view that in theory, agricultural prices should be stationary, suggesting that the controversy of whether shocks to agricultural prices are temporary or permanent is not yet over.     

Price transmission between products at different stages of manufacturing in forest industries

The theory of demand and supply implies a positive relationship, or “price transmission” between the prices of products at different stages of manufacturing. This relationship was investigated with quarterly prices of softwood stumpage in the US South, and national prices of forest products, from 1977 to 2002. All prices, net of inflation, were found to be nonstationary and there was no evidence of co-integration between prices. Vector autogressive models, augmented by Granger causality tests and multiplier analysis showed that there was a one-to-one permanent positive response of the southern sawtimber stumpage price to a permanent change in the national lumber price. There was also a one-third permanent positive response of the national paper price to a permanent change in the national pulp price. There was no relation between regional pulpwood prices and national pulp or paper prices. When price transmission was significant, the full adjustment took about 2 years.     

Off-farm labor supply responses to permanent and transitory farm income

A sample of Iowa farm couples is used to evaluate whether off‐farm labor supply decisions respond to permanent and transitory components of farm income. Off‐farm labor supply of both spouses declines in response to increases in permanent farm income. Farm wives also reduce off‐farm labor supply in response to positive transitory farm income shocks. Consequently, one mechanism farm households use to smooth their goods consumption when facing fluctuating farm income is to modify their consumption of leisure. Ability to smooth goods consumption does not imply the absence of liquidity constraints among farm households unless leisure consumption is also smoothed.     

Regime switching and oligopsony power: the case of U.S. beef processing

In this article, we estimate a model of oligopsony behavior under imperfect monitoring of rival actions to analyze weekly marketing margin data for the U.S. beef packing industry. Oligopsonists are hypothesized to follow a discontinuous pricing strategy in equilibrium, and we focus on shocks in the normal throughput of supply as a potential catalyst for regime switching between cooperative and noncooperative phases. We adopt an algorithm developed by Bellone (2005) that relies on Hamilton’s (1989) multivariate first‐order Markov process to test for the cooperative/noncooperative switching behavior. We find strong evidence that links switching conduct by packers to disruptions in coordinating the derived demands for processed beef with the supply of live cattle. Once switched, cooperative regimes lasted an average of 21 weeks, while noncooperative regimes averaged 33 weeks. The average marketing margin for processed beef was 68% lower in the noncooperative regimes compared to the cooperative regimes. This led to an annual average increase in profits of 408 million dollars to the beef packing industry and about an 8–9% reduction in live cattle prices.     

Decompositions of corn price effects: implications for feed grain demand and livestock supply

This article examines how corn prices affect the demand for feed grains and the supply of livestock outputs. The differential approach to the theory of the multiproduct firm is employed to examine ex ante decisions about feed grain demand and livestock supply. The estimation results suggest that livestock producers have little flexibility in adjusting the demand for corn in response to an increase in corn prices. The substitutable relationship between corn and distillers’ grains contributes to alleviating pressures on feed costs in response to high corn prices. In addition, the estimation results highlight that the composition of livestock supply can be altered by changes in livestock prices. On the basis of the estimated elasticities, the decompositions of profit‐maximizing input demand are conducted to examine the effects of changes in corn prices on feed grain demand and livestock supply. The decomposition results reveal that an increase in corn prices reduces corn demand but raises the demand for distillers’ grains mainly due to the substitution effects of corn price changes. The decomposition results also show that an increase in the price of corn reduces cattle supply but raises the supply of chicken and pork due to the output relationships in supply.     

Price predictors in an extended hedonic regression framework: An application to wholesale cattle markets in Ethiopia

Livestock markets influence income generation for producers, but also accessibility and affordability of highly nutritious animal-sourced foods for consumers. Despite their importance, the functioning of livestock markets in lower-income countries is poorly understood and rarely studied compared to more developed countries. This study analyzes wholesale cattle markets in Ethiopia using a uniquely rich large-scale dataset covering both prices and cattle characteristics in 39 markets (in both highland and lowland areas) over a 10-year period, and hedonic regression models structured to understand both cattle price formation and seasonal and secular price dynamics. We show that cattle prices are influenced by a wide range of factors, including proxies for meat quality, religious fasting practices, climate-based seasonality but also climate shocks and availability of grazing land, competition from animal traction services, and rising consumer incomes. However, the implied effects of these factors are often significantly different in highland mixed crop-livestock areas compared to agro-pastoralist lowland areas, emphasizing the dualistic nature of cattle markets in Ethiopia. The analyses help inform the systemic challenges that Ethiopia will need to overcome to meet rising demand for beef products in the face of sustained income and population growth, as well as the adverse effects of climate change.     

The impact of commodity price shocks among regional economies of a developing country

Volatile commodity prices have become commonplace in the world economy. Although is widely accepted that commodity‐rich countries are affected by this phenomenon, information about how commodity price shocks impacts their regional economies is scarce. This work analyses how shocks in copper prices impact the economies of the major copper‐producing regions in a developing country, such as Chile. To achieve this goal, a two‐step method is implemented. First, we estimate long‐term copper prices using the Wets and Rios approach (2015) and these estimates are then contrasted with those forecast by the Chilean public advisory committee. Second, a general equilibrium model is implemented to simulate the effects of both expansive and restrictive copper price cycles within major producing regions in Chile. Our results show that the proposed approach yields more homogeneous price projections than those made by the Chilean Government, which, in turn, are very close to variations in response to negative shocks. The price simulations confirm that price cycles affect the savings of government and business, which directly dampens regional production, mainly via investment, capital mobilisation and diversification of production. Because of this, fiscal revenues generated by copper sales act as a trade cycle term multiplier in regional economies. Overall, within copper‐producing regions, we suggest implementing long‐term policies to improve profit distribution efficiency.     

Volatility in Cereal Prices: Intra‐ Versus Inter‐annual Volatility

Intra‐annual (within crop year) price volatility and inter‐annual (between crop years) price volatility are measured for wheat, maize, rice, barley, oats and rye. A set of explanatory variables is used in a pooled regression to explain variations in these price volatilities. With low cereal stocks, supply (yield) shocks (defined here as volatilities, as for the price volatilities) mostly influence inter‐annual volatility while other influential factors are the crude oil price and exchange rate. Cereal demand and interest rate shocks combined with low stocks affect intra‐annual volatility, while other explanatory factors include exchange rate and crude oil price shocks. The derivatives market activity appears to have no significant effect on either intra‐ or inter‐annual volatility. In contrast, large cereal stocks and a well‐functioning international cereal market reduce the effects of shocks in the explanatory variables on both intra‐ and inter‐annual volatilities.     

Short-Run Output Response in the Western Canadian Cattle Industry

This paper present the results of recent empirical work on the short-run producetion flexibility of cow-calf producers in Western Canada. Several aspects of firm behaviour may be inferred from the econometric estimates, including short-run elasticities of supply and factor demand, and the total elasticity of cattle supply. The principal empirical findings are that many of the shourt-run supply and factor demand responses of firms, are elastic with respect to within-season price variability. The evidence does not support a vertical or negatively-sloped short-run supply curve for cattle, where one previously has been hypothesized in the theoretical literature.     

Agricultural Commodity Price Shocks and Their Effect on Growth in Sub‐Saharan Africa

Commodity price shocks are an important type of external shock and are often cited as a problem for economic growth in Sub‐Saharan Africa. We choose nine Sub‐Saharan African countries that are heavily dependent on a single agricultural commodity for a significant portion of their income. This paper quantifies the impact of agricultural commodity price shocks using a structural non‐linear dynamic model. The novel aspect of this study is that we determine whether the response of per capita GDP for the selected Sub‐Saharan African countries is different to unexpected increases in agricultural commodity prices as opposed to decreases in prices. We conclude that there is very little evidence that an unanticipated price increase (decrease) will lead to a significantly different response in per capita incomes.     

Timber price dynamics after a natural disaster: Hurricane Hugo revisited

Timber prices in the area struck by a natural disaster such as a hurricane or pest infestation are known to drop sharply immediately following the disaster, only to recover after about a year or so. Previous research attributes the rapid recovery to shifts in supply and demand curves. Our analysis suggests the more probable explanation is rotation in the curves. Supply and demand shifts come into play in the second and third years as rebuilding from the hurricane begins in earnest, and as timber inventory is rebuilt in response to elevated price expectations. But for the period in which price recovery occurs, model simulations based on data for Hurricane Hugo indicate the major causal factors of the observed price dynamics are curve rotation and trade with the surrounding undamaged region. Inventory-based supply shifts, the previously-identified causal factor, play a minor role in the observed price dynamics. Getting the causal factors right is important for predicting the price effects of forest inventory shocks, and for proper measurement of their welfare effects.