ASYMMETRIC PRICE ADJUSTMENTS AND BEHAVIOR UNDER RISK: EVIDENCE FROM PERUVIAN AGRICULTURAL MARKETS

Most studies measuring asymmetric adjustments in vertical price transmissions fail to provide empirical support to explain such behavior. The literature invokes theoretical models, which derive asymmetric behavior based on variables that are difficult to measure such as oligopolies' coordination policies, market imperfections or menu costs. Therefore, with no empirical support explaining the asymmetries, these studies leave no room for policy implementation. In this paper I relate asymmetric price responses to a theory of behavior under risk driven by the perishable rate of the goods. Retailers of a perishable good facing an increment in the wholesale price may decide not to increase their prices for fear of being left with a spoiled product. Using three agricultural products with different perishable rates I reject the null hypothesis of symmetric adjustments in the most perishable product but fail to reject for the less perishable goods. The nonlinear responses are consistent with the prediction of the model. The test for asymmetries uses a threshold cointegration technique where the threshold level and the cointegration vector are estimated from the data instead of being imposed by the econometrician.Risk and Uncertainty,

Border Delays and Trade Liberalization

Delays at the border for customs clearance are seemingly a central feature of the trade regime in the CIS states. Here, we argue that with queuing costs being endogenously determined in such circumstances tariff liberalization (even in the small economy case) can be welfare worsening since tariff revenues are replaced by resource using queuing costs. On the other hand, corruption can be welfare improving if queuing costs are replaced by resource transferring bribes. We also show how added distortions between perishable and non-perishable, or between light and heavy goods can also arise. We show these outcomes using a simple general equilibrium model, and explore the numerical implications using Russian data. The orders of magnitude are both significant and opposite in sign to conventional analyses.

A PERISHABLE INVENTORY MODEL WITH UNKNOWN TIME HORIZON

Traditionally, the time (planning) horizon over which the inventory for a particular item will be controlled is often assumed to be known (finite or infinite) and the total inventory cost is usually obtained by summing up the cost over the entire time horizon. However, in some inventory situations the period over which the inventory will be controlled are difficult to predict with certainty, as the inventory problems may not live up to or live beyond the assumed planning horizon, thereby affecting the optimality of the model. This paper presents a deterministic perishable inventory model for items with linear trend in demand and constant deterioration when time horizon is unknown, unspecified or unbounded. The heuristic model obtains replenishment policy by determining the ordering schedule to minimize the total cost per unit time over the duration of each schedule. A numerical example and sensitivity analysis are given to illustrate the model

Inventory control for a non-stationary demand perishable product: comparing policies and solution methods

This paper summarizes our findings with respect to order policies for an inventory control problem for a perishable product with a maximum fixed shelf life in a periodic review system, where chance constraints play a role. A Stochastic Programming (SP) problem is presented which models a practical production planning problem over a finite horizon. Perishability, non-stationary demand, fixed ordering cost and a service level (chance) constraint make this problem complex. Inventory control handles this type of models with so-called order policies. We compare three different policies: a) production timing is fixed in advance combined with an order up-to level, b) production timing is fixed in advance and the production quantity takes the age distribution into account and c) the decision of the order quantity depends on the age-distribution of the items in stock. Several theoretical properties for the optimal solutions of the policies are presented. In this paper, four different solution approaches from earlier studies are used to derive parameter values for the order policies. For policy a), we use MILP approximations and alternatively the so-called Smoothed Monte Carlo method with sampled demand to optimize values. For policy b), we outline a sample based approach to determine the order quantities. The flexible policy c) is derived by SDP. All policies are compared on feasibility regarding the α-service level, computation time and ease of implementation to support management in the choice for an order policy.National project TIN2015-66680-C2-2-R, in part financed by the European Regional Development Fund (ERDF)

Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the base of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution route with and without carbon emissions cost are constructed, and fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, the path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit

Response to Out of Stock Produce and its Underlying Economic Considerations

The goal of this research is to investigate consumer response to out-of-stock product in the produce category. We do this by comparing results from a survey conducted in Greece and the United States to previous research on consumer response to out-of-stock situations for other perishable and non-perishable products. We further examined the underlying economic reasoning as well as the cultural and physical differences between the United States and Greece as explanations of different reactions. Out of Stock produce response proved different in produce than in other perishables and non-perishables. There is some evidence that produce does follow previous the suggested economic reasoning from the previous research, especially within transaction costs. Finally, the respondent’s country proved very significant in dictating response.Out-of-stock, grocery, perishables, opportunity cost, transaction costs, Agribusiness,

MARKETING FINANCIAL PRODUCTS WITHIN THE ACTIVITY OF INVESTMENT BANKS

A production system which produces a large number of items in many steps can be modelled as a continuous flow problem. The resulting hyperbolic partial differential equation (PDE) typically is nonlinear and nonlocal, modeling a factory whose cycle time depends nonlinearly on the work in progress. One of the few ways to influence the output of such a factory is by adjusting the start rate in a time dependent manner.We study two prototypical control problems for this case: i) demand tracking where we determine the start rate that generates an output rate which optimally tracks a given time dependent demand rate and ii) backlog tracking which optimally tracks the cumulative demand. The method is based on the formal adjoint method for constrained optimization, incorporating the hyperbolic PDE as a constraint of a nonlinear optimization problem. We show numerical results on optimal start rate profiles for steps in the demand rate and for periodically varying demand rates and discuss the influence of the nonlinearity of the cycle time on the limits of the reactivity of the production system. Differences between perishable and non-perishable demand (demand vs. backlog tracking) are highlighted

Short urban food chains in developing countries: signs of the past or of the future?

The paper investigates the role and future of short food chains supplying cities in developing countries. It is based on a conceptual framework on proximity (mostly used in developed countries and tested here in developing contexts), surveys in Vietnam on the organisation of vegetable chains supplying urban markets, as well as surveys in Africa and secondary empirical data. In line with the predictions of spatial economics, short food chains are dominant in the supply of perishable produce, e.g. leafy vegetables in Vietnam, as in a number of cities of Africa and Asia. There are instances where farmers and consumers are active in taking advantage of regular interactions, especially to promote food quality and safety, in a context of growing concerns on the part of consumers for their health. The paper concludes with some features of short food chains in Asia and Africa. (Résumé d'auteur

PERISHABLE REFRIGERATED PRODUCTS AND HOME PRACTICES SURVEY

The "Perishable Refrigerated Products and Home Practices Survey" was a two-part survey developed to better understand consumers' perceptions and their current level of understanding regarding the proper handling and storage of perishable refrigerated foods. Past studies (e.g. Anonymous, 1997a; Anonymous, 1999a) have demonstrated a lack of consumer knowledge in such areas involving food safety practices. In recent years, there have been a number of large food recalls (i.e. Anonymous, 1997b; Anonymous, 1999b; CDC, 1999) due to the presence or possible presence of foodborne pathogens. Part of this study analyzed consumers' knowledge and attitudes towards the recalled products. A large number of foodborne outbreaks also occur in the household. After examining participant responses concerning food handling practices, (i.e. improper temperature control and lack of food rotation habits), the practices of many of the participants were not suitable to prevent possible foodborne contamination. Open dates and time-temperature integrators (TTI's), especially when used together, can assist consumers in purchasing fresh foods (Taoukis and Labuza, 1989a, b). However, numerous past studies have indicated consumer confusion regarding the meaning of open dates; and the results of this study confirm that the confusion continues. This may be due in part to the fact that there is no federally mandated, uniform open dating legislation in this country. TTI's are a fairly new device on the U.S. marketplace. While participants in this study were optimistic about the potential benefits of TTI's, 76% of consumers were unfamiliar with the device.Food Consumption/Nutrition/Food Safety,

An index for dynamic product promotion and the knapsack problem for perishable items

This paper introduces the knapsack problem for perishable items (KPPI), which concerns the optimal dynamic allocation of a limited promotion space to a collection of perishable items. Such a problem is motivated by applications in a variety of industries, where products have an associated lifetime after which they cannot be sold. The paper builds on recent developments on restless bandit indexation and gives an optimal marginal productivity index policy for the dynamic (single) product promotion problem with closed-form indices that yield estructural insights. The performance of the proposed policy for KPPI is investigated in a computational study.Dynamic promotion, Perishable items, Index policies, Knapsack problem, Festless bandits, Finite horizon, Marginal productivity index