Assessment of energy intake: Estimates of food supply v measurement of food consumption

National consumption indicators are frequently compiled using food supply estimates in the absence of reliable household or individual intake data. The authors examine the relationship between these three levels of information and in particular, the potential ‘losses’ of energy in the food system, comparing data from different countries and over time. They demonstrate the unreliability of supply estimates as proxy indicators of consumption and question their current usage in statements about global hunger and the links between health and food intake.     

Incentives and efficiency in the kosygin reforms

Some of the efficiency implications of an incentive scheme for enterprises under which bonuses depend on sales and the rate of profit (one of the major schemes introduced by the 1965 Kosygin industrial reforms in the USSR) are explored. Various efficiency problems are identified, and the use of the scheme to induce effort and raise productivity is analyzed.     

A comment on patterns of store choice and customer gain/loss analysis

We explore patterns of store choice and shopping behavior in the domain of women’s specialty clothing stores. Based on previous research, four exploratory research propositions are examined to note patterns in customer loyalty to their “favorite” stores and the incidence of shopping at competing stores. We conduct a vulnerability analysis to note which stores have customer segments most vulnerable to marketing efforts of competitors. Our findings suggest customers in the women’s specialty clothing market do not exhibit 100 percent loyalty to the favored retailer, and the share of trips to the favored retailer is generally constant among stores. The primary implications to retail managers are that they should be most concerned withincreasing the customer franchise base (those naming the retailer’s store as “favorite”) rather than focusing on increasing thefrequency of shopping trips among those customers that comprise the current franchise base.     

CONJECTURAL VARIATIONS AND LOCATION THEORY

ABSTRACT. Imperfectly competitive markets, such as those involving spatial separation of producers and consumers are characterized by interactions between competing firms. Actions call forth reactions and the possible reactions form an important part of the information set that should be used to determine the initial actions. One method for dealing with this is the 'conjectoral variation' approach. Despite some shortcomings this methodology sheds considerable light on decision-making in the space economy. Equally importantly, it sheds light on more general microeconomies modelled as spatial analogs. This paper shows that conjectural variations and the nature of competition between rival firms do indeed 'matter' in location choice and more generally in product design. In particular, we shall be concerned with showing how the conjectured responses of rival firms affect their desire to agglomerate.     

Evaluating the economic impact of quality-reducing,seed-borne diseases: Lessons from Karnal bunt of wheat

Estimates of aggregate disease costs can be used for assigning research resources or to evaluate control measures. Most diseases cause production losses, but others affect quality and marketability. Seed-borne diseases also cause problems for the seed production and distribution industry. The aim in this paper is to examine issues relating to the economic impact of a quality-reducing, seed-borne disease, and to highlight differences compared to non-seed-borne diseases affecting yield only. Economic evaluation of quality-reducing, seed-borne diseases needs to incorporate impacts of trading restrictions such as quarantines or embargoes imposed by purchasers. The costs of measures taken to control diseases also represent part of the economic impact of the disease. Full economic costs of a disease include the direct (yield and quality) costs and costs of the control measures. The costs of Karnal bunt of wheat in Mexico were found to include many control costs that have often been overlooked. The optimal amount of resources to invest in controlling a disease depends on the likely annual costs of the disease and of control measures. Before implementing disease control policies, both the costs and the benefits of the policies need to be considered, taking the risks of each option into account, to ensure that the policy itself does not impose greater costs than the uncontrolled disease.