Toward understanding strategic issue diagnosis

This paper calls attention to a central but neglected process in strategic decision making, i.e. strategic issue diagnosis (SID). A framework for discussing SID is presented in terms of three critical components: inputs, process characteristics and outputs. The framework is illustrated in the context of PIMS and BCG, two widely recognized strategy models. The major implications highlight the theoretical significance of SID for understanding strategic decision making.     

Einzelbesprechungen

Ohne Zusammenfassung     

An Empirical Examination of Tax Factors and Mutual Funds' Stock Sales Decisions

We examine whether taxes affect stock sales by mutual funds. For certain funds, the expected amount of a given stock sold in a given quarter is 62% greater when liquidation would trigger a capital loss equal to 1% of the value of the portfolio than when a like-size gain would be triggered, a greater effect than is associated with either contemporaneous excess stock returns of 50% or unexpected EPS equal to 50% of the stock price. For growth funds, responses to tax factors are consistent from year to year, and dispositions vary with the year-to-date realized gain.     

Macroeconomic factors of growth of Russian cities and town planning policy objectives

This paper was prepared for the 70th birthday of Oleg Sergeevich Pchelintsev, but he did not live to see it in print. For memorials of O.S. Pchelintsev, see www.demoscope.ru Nos 243–244 of April 17–30, 2006. The paper analyzes the channels and ways by which macroeconomic policy impacts the development of urban settlement and individual groups of cities. Its findings are used to validate new directions and measures of urban policy     

The competitiveness of Russian industries: Current state and outlook

Based on its definition of industrial sector competitiveness the paper presents a “competitiveness chart” of branches of industry as per postcrisis status and points out key contributing factors in the success/failure of industry groups. Development opportunities and threats of branches of industry are analyzed, leading to a long-term industry “competitiveness chart.” A detailed SWOT analysis is made of the strengths, weaknesses, opportunities, and threats for a number of key industries.     

Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods

Benefit transfer is a method for estimating the value of environmental goods that involves the use of past information on identical or similar goods. This paper considers the extent to which benefit transfer can be based on prior distributions elicited from expert opinion. We propose two alternative methods to elicit the parameters of a prior distribution from experts on environmental valuation. An experiment is carried out on the value of National Parks in Spain. The results from the elicited distributions are compared with the information provided by onsite samples of visitors. The results indicate that individual experts made different predictions about the potential value of the policy areas that were diverse and unable to accurately predict the value for each policy site. However, the average across the elicited distributions approaches the estimated distribution with empirical data and accurately predicts the relative values for the two policy sites considered.     

Strategy-proof Location on a Network

We consider rules that choose a location on a graph (e.g. a road network) based on agents' single-peaked preferences. First, we characterize the class of strategy-proof, onto rules when the graph is a tree. Such a rule is based on a collection of generalized median voter rules (Moulin, 1980) satisfying a consistency condition. Second, we characterize such rules for graphs containing cycles. We show that while such a rule is not necessarily dictatorial, the existence of a cycle grants some agent an amount of decisive power, unlike the case of trees. Rules for this case can be described in terms of a subclass of such rules for trees. Journal of Economic Literature Classification Numbers: C72, D78.