Co-integration and error-correction modelling of agricultural export supply in Cameroon

Estimates of factors influencing Cameroon^,s exports of cocoa, coffee and cotton are derived in a system of equations using the Engle-Granger and Johansen co-integration and error-correction representation procedures. Two co-integrating vectors involving cocoa and coffee exports as endogenous variables are identified in the system while tests for exogeneily of cotton exports are consistent with the independence of cotton from the other two commodities. These findings are corroborated by estimates of a restricted error-correction model which lead to acceptance of the hypothesis that cocoa and coffee exports are-indeed determined endogenously to the system and not linked to cotton exports. Statistical significance of the error-correction terms for cocoa and coffee validates the existence of an equilibrium relationship among the variables in each of these co-integrating vectors. The combined short run dynamic effect of lagged quantities of cocoa and coffee, export/domestic price ratio and GDP jointly explain changes in exports of cocoa whereas lagged quantities exported do not seem to have a significant short-run dynamic effect on changes in coffee exports.     

Demand System Estimation with Upward-Sloping Supply

There are three important implications of this work. First, demand systems estimates that overlook supply response are as subject to simultaneous equations bias as single ad hoc demand equations. Theil shows theoretically that assuming supply curves are perfectly elastic, when in fact they are not will underestimate price responsiveness in demand equations. An empirical example is presented that demonstrates that the price elasticities generally increase when upward-sloping supplies are assumed.
Second, the iterative testing procedure presented may provide direction for model building when the true structure of the system is unknown. For example, the results of the Wu-Hausman test indicate that assuming chicken supply is perfectly elastic in a model of the Japanese livestock industry is justified. The results also indicate that the supplies of Wagyu beef, dairy beef, pork and fish are upward-sloping and therefore should be modeled as endogenous variables in the demand system.
Third, the results emphasize the sensitivity of projections of Japanese beef imports to the assumptions underlying the demand system. If perfectly elastic meat supplies are assumed for an analysis of reducing Japanese beef import liberalization, the results will likely underestimate the impacts on beef imports.
In summary, the supply curves for agricultural products tend to slope upward within the time periods used for traditional policy analysis and demand system estimation, which in turn implies that prices are determined endogenously within the system. Endogenous price determination is contrary to the assumptions that underlie the theoretical foundations and many empirical applications of demand systems. We present a methodology to test for and adjust demand systems for endogeneity. The importance of this adjustment is demonstrated by using an analysis of the liberalization of the Japanese beef 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.     

Price volatility and rational expectations in a sectoral framework commodity model: a multivariate GARCH approach

This article explores supply response models in a rational expectations framework with endogenous risk by using a multivariate generalized autoregressive conditional heteroskedasticity model with Cholesky decomposition. This approach allows the incorporation of price volatility as a risk factor into the supply response of a primary commodity sector that is composed of several markets of homogenous products. The model is applied to the Greek meat sector, which is composed of four major meat categories, that is, beef, lamb, pork, and broiler, and thus the model for the entire market includes supply and demand equations for all the four meat markets, which are estimated simultaneously. The empirical results confirm that price volatility is a significant risk factor in Greek meat production and also provide useful implications about the cost factors of production. Furthermore, the empirical findings show that the last reform of the Common Agricultural Policy seems to have had a negative effect on beef and lamb production in Greece.     

An Econometric Analysis of Total (Domestic) and Import Demand for Beef in Hong Kong

This paper presents an applied econometric analysis of total (domestic and import) demand for beef in Hong Kong for the period 1970 to 1988. The estimates are in logarithmic form and provide elasticity estimates for beef demand (domestic and import) in Hong Kong. Variables in the estimated domestic demand models (per capita and aggregate) include own price, prices of a substitute (pork) and a complement (rice) and income. Variables in the estimated import demand model include demand side variables (price of beef, price of pork, price of rice and income) and the price of imported live cattle as a supply shifting variable. The elasticities were inelastic for the domestic demand models while most of those for the import demand model were elastic.     

Unbiasedness and Market Efficiency Tests of the U.S. Rice Futures Market

This study examines short-run and long-run unbiasedness within the U.S. rice futures market. Standard OLS, cointegration, and error-correction models are used to determine unbiasedness. In addition, the forecasting performance of the rice futures market is analyzed and compared to out-of-sample forecasts derived from an additive ARIMA model and the error-correction model. The results of our unbiasedness tests and the forecasting performance of the rice futures market provide supporting evidence that the U.S. long-grain rough rice futures market is efficient. The results have important price risk management and price discovery implications for Arkansas and U.S. rice industry participants.     

A SUPPLY FUNCTION FOR DAIRY PRODUCTS

Results of an investigation into factors affecting the aggregate supply of dairy products in Australia are presented. Empirical estimates of the parameters of the supply function, using ordinary least squares, indicate that some concept of average prices for dairy products is a more important determinant of supply than ratios of prices of dairy products relative to prices of production substitutes such as beef cattle or sheep and lambs. The empirical results also indicate that the quota-type effects of the various metropolitan fluid milk schemes are important in determining supply. Effects of new technology on supply could not be quantified due to intercorrelation of explanatory variables.     

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.     

An Analysis of Public Agricultural Research in the Canadian Prairie Provinces

This study has developed a four-equation model of agricultural research in Canada using some aspects of special interest theory, institutional theory and economic variables. The demand, supply and allocation equations were developed with special reference to the Canadian agricultural research sector and the more restrictive prairie agricultural research sector. The conceptual model developed is designed to explain the allocation of public expenditures on commodity specific applied research. The reduced-form equation of the model was estimated for 6 commodity classes (2 crops, 4 livestock groups) to test the applicability of the model over the commodity groups.
The evaluation of the reduced-form equation model and the implications that derive from it give an interesting view of the Canadian research sector. Some variables did perform as a priori expected with relative consistency and certain equations performed very well. These results lead to some implications for the Canadian agricultural research sector.
The general performance of the reduced-form equation and its ability to explain the total variation of expenditures on commodity specific agricultural research gives limited support to the model developed. Nevertheless the results tend to indicate that agricultural research is responsive to economic and institutional variables.     

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.     

The dynamics of household beef consumption in Cameroon

Recent changes in economic conditions have introduced notable changes in household beef consumption patterns in Cameroon. While consumers are concerned about the short- and long-run effects of these factors on beef consumption habits, policy makers are more worried about the appropriate period necessary for households to make complete adjustments in consumption since this information is vital for planning production. Static and dynamic demand frameworks involving the Nerlovian partial adjustment (PA) model are used to capture the dynamic nature of beef consumption parameters. Maximum likelihood estimates of the PA model reveal that the conditioning variables explain 79% of the variation in beef consumption. Income, previous consumption, own-price and prices of fish and pork are jointly important in explaining beef consumption habits. Beef is a normal good with pork and fish as substitutes and chicken as a complement. Long-run price and income elasticities are greater than but not significantly different from their short-run values, suggesting that adjustment in consumption is fast with about 80% of the difference between actual and ‘desired’ consumption being completed in about 2 years. Projections show that demand for beef will reach 109620 t by the year 2000. giving an incremental total and per capita demand of 31 730 tons and 1.84 kg, respectively.     

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.     

Bovine spongiform encephalopathy in Japan: consumers' food safety perceptions and willingness to pay for tested beef*

The discovery of bovine spongiform encephalopathy (BSE), commonly known as ‘mad cow disease’, in Japan caused anxiety about consuming beef and beef products. As a result, there was a sudden fall in sales of beef that hurt the Japanese beef industry as well as major beef exporters to Japan. We analyse factors that affect Japanese consumers' willingness to pay (WTP) price premiums for BSE‐tested beef and estimate the mean WTP for BSE‐tested beef using data obtained from a consumer survey in Japan. A single‐bounded dichotomous choice contingent valuation model is used to recover the premium amount. We find that attitudes to food safety, reduction in beef consumption following the BSE outbreak, and being female all have a statistically significant positive effect on the WTP for BSE‐tested beef. Interestingly, demographic variables such as age and income do not affect the WTP, possibly indicating that the BSE scare similarly affected multiple segments of the population. In our sample, consumers are willing to pay a premium on average of greater than 50 per cent for BSE‐tested beef.     

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.     

Short-Run Supply Responses in the U.S. Beef-Cattle Industry

This article investigates the response of beef-cattle producers to changes in the price of cattle. Previous research has suggested that there may be a negative short-run supply response to a permanent increase in the price of cattle. We build a dynamic, rational expectations model that separates the markets for fed and unfed beef. This separation generates predictions that the supply response is generally positive, even for permanent shocks in the short run, and nests the negative supply response as a special case for appropriately restricted demand shocks.     

Determinants of food security in Southern Ethiopia at the household level

In the early 1980s, a paradigm shift occurred in the field of food security, following Amartya Sens (1981) claims that food insecurity is more of a demand concern, affecting the poor's access to food, than a supply concern, affecting availability of food at the national level. Despite the wide acceptance of Sen's thinking, many controversies including the relative importance of supply‐side versus demand‐side variables in causing and solving food insecurity have remained in academic and policy circles. This study develops a recursive household food security model within the framework of consumer demand and production theories following Singh et al. (1986) , and parses out the relative importance of supply‐side versus demand‐side variables in determining household food security in southern Ethiopia. Based on results of a test of full/reduced model and the magnitude of changes in conditional probabilities of food security, we conclude that the supply‐side variables are more powerful determinants of food security than the demand‐side variables.     

SUPPLY RESPONSE WITH STOCHASTIC TECHNOLOGY AND PRICES IN AUSTRALIA'S RURAL EXPORT INDUSTRIES

Risky output prices and production characterise Australian agriculture. Exports are vitally important, sometimes relying heavily on a particular market. In this study a model is developed to include explicitly both output price and technological risks as well as multiple output relationships. It is used to show that changes in US beef import policy generating a 10 per cent beef price fall could reduce Australian beef supply by 3.5 per cent and grazing industry net revenue by 8.4 per cent, despite some switching from beef production to other enterprises.     

The Theory of the Farm Household: An Application to Saskatchewan

A theoretical model is presented which integrates the consumption and production components of the rural household. A theoretically determined system of expenditure equations, derived factor demand equations and an off-farm labor supply equation are estimated using primary data for Saskatchewan farm households. From the empirical results we conclude that if the wage rate can be observed or estimated, the farm household's behavior can be explained empirically in a manner consistent with received theory. Summary and Conclusions A theoretical model integrating the consumption and production sides of the farm household or enterprise is estimated empirically using primary data for Saskatchewan farm households. The farm household was assumed to maximize its utility function subject to farm production and cash flow constraints. The empirical results indicate that the theoretical model can be estimated successfully even when data are sparse. While the coefficients for the expenditure, derived demand, and off-farm labor supply equations are consistent with coefficients from similar equations estimated separately by others, the theoretically more precise integrated approach specifies the simultaneous effect of the variables across equations. From the empirical results and the theoretical considerations it is obvious that the wage rate is a key explanatory variable in the model. The wage rate links the three components of the model–final expenditures, the derived input demands and off-farm labor hours. The wage rate is one determinant of the allocation of the operator's time (although other factors such as the nature of the operation and opportunities to work off-farm dominated in this study), and both the wage rate and the allocation of the time determine the eventual income available to the rural household. In essence, then, the problem of explaining farm household behavior when the household's business enterprise function cannot be separated from its consumption activity is similar to that of traditional models based on the theory of the firm and models of consumer behavior. The only difference is that the wage rate is observable in the traditional models but needs to be estimated as a shadow price in models which seek to explain rural household behavior. As a result, research in this area must start with an explanation of the allocation of (at least) the operator's labor and a measure of the shadow wage rate. If the entire household's allocation of time between on-farm and off-farm labor and leisure is determined, it is possible to treat its consumption and production activities separately. Further research is required to extend the model to explain household labor supply to both the farm and off-farm labor markets.     

On the Use of Price Ratio in Aggregate Supply Response: Some Evidence from the Poultry Industry

The specification of supply/demand relationships has received considerable attention in agricultural economics (Heien 1977). Economic theory has helped provide a basis for the specification of such relationships, one of its contributions being the proposition that prices should be interpreted only in relative terms. This has had a profound influence on model building in agricultural economics, leading a number of researchers to avoid the use of absolute prices in economic analysis. For this reason, numerous market models of the agricultural economy use price ratios as explanatory variables (e.g., Chen; Chen et al.; Heien, 1976; Gerra; Kulshreshtha and Wilson; Rahn; Talpaz; Morzuck et al.; Houck and Gallagher; Wilson et al.); these examples suggest that the use of such ratios is fairly widespread in econometric modeling of the crop and livestock sectors. One of the best examples of price ratios is the "feed cost to price" ratio commonly used in the analysis of livestock supply response. Indeed, since feed cost constitutes a major part of the total production cost in livestock activities, the "feed cost to price" ratio is often considered a proxy for profitability. For this reason, data on such ratios are regularly published for various livestock activities (e.g., USD A). Also, "feed cost to price" ratios are often employed in the specification of models of livestock supply response, (e.g., Chen; Chen et al.; Heien 1976; Gerra; Kulshreshtha and Wilson; Rahn; Talpaz). However, not all models of aggregate supply response follow this approach. For example, Freebairn and Rausser, and Arzac and Wilkinson, use prices as separate variables rather than in ratio forms in their models. In particular, they do not employ price ratios in their livestock and crop supply equations. The existence of these different approaches raises questions about the appropriateness of the use of price ratios in the modeling of aggregate supply.     

Dynamic adjustment in the US beef market with imports

This paper hypothesizes that while there are important qualitative differences in domestic beef and imported beef, beef and cattle imports also represent attempts by the US beef processing and wholesale sector to adjust to short-run changes in supply and demand. Dynamic production theory is applied to the problem to test for this adjustment process, and presents a production theory approach to meat trade that has previously been included in demand functions. The results of this analysis suggest that the method used provides a reasonable and appropriate representation of the import behavior of the US processing and wholesale beef sector.