Transitions: Two steps from theory to policy

This paper bridges a gap between emergent transition theories and the policy maker facing societal transitions when making long-term policy. Using a two-step approach the abstract concepts are linked to the realm of the policy maker. First the forces underlying transitions are identified and second where they can be found is presented. For this a conceptual map of societal systems, the clover model, is introduced. With the clover model the structures, cultures and practices of societal systems can be found. Furthermore, intermediate changes are systematically treated to track the phases of a transition. These transition diagnostics are supplemented with recommended policy frameworks.     

Tax contracts and elections

In this paper we examine the impact of tax contracts as a novel institution on elections, policies, and welfare. We consider a political game in which three parties compete to form the government and voters may behave strategically. Parties have policy preferences about the level of public-good provision and benefit from perks when in office. A government raises taxes for both purposes. We show that tax contracts yield moderate policies and lead to lower perks by avoiding the formation of grand coalitions in order to win government. Moreover, in polarized societies they unambiguously improve the welfare of the median voter.     

Sponsorship effect metric: assessing the financial value of sponsoring by comparisons to television advertising

Since sponsoring is an increasingly important marketing communication medium, it is important for managers to know whether their sponsorships are giving a good financial return relative to other communication alternatives. Although several “rules of thumb” are commonly used in the industry for converting sponsorship exposure time into television advertising equivalent values, this research is the first to empirically test them by means of two experiments employing realistic stimuli and representative samples. Across 6 stimuli brands, study 1 finds that an average of 127 s of sponsor logo exposure achieves the same effects as a 30 s TV ad, but variance around this figure is high and depends on a variety of factors such as communication goal, sponsor fit, type of exposure, and whether the sponsor is a known brand. Study 2 finds that combining sponsoring with television advertising does increase the effects of sponsoring, although effects vary widely depending on the context, but even in the best case the increase is not supportive of the high levels of advertising suggested by many industry experts. Overall, the findings will allow managers to more confidently assess the financial value of their sponsorship investments.     

Trades outside the quotes: Reporting delay,trading option,or trade size?

In the period 1993 through 2002 examined in this study, quoted and effective spreads declined substantially on Nasdaq and to a lesser degree on the NYSE. At the same time, however, trades outside the quotes increased dramatically on Nasdaq. Because investors would prefer to trade at the quotes rather than outside the quotes, we examine why trades outside the quotes are observed. We focus on how the continuous market mechanism itself influences the outcome of orders and the reporting of trades, and we conclude that slippage exists in the market mechanism. Outside-trades occur on Nasdaq, first, because of delays in reporting trades, second, because the ability of dealers to delay execution of trades creates a look-back option, which when exercised results in outside-trades, and third, because large trades can take place at prices outside the quotes. Outside-trades are rarely observed on the NYSE because the market is more centralized. While the pattern of trading on the NYSE is not inconsistent with the presence of a look-back option, our tests provide no direct evidence that specialists are exercising such an option.     

Asymptotically perfect and relative convergence of productivity

In this paper we examine the extent to which countries are converging in per capita productivity levels. We propose to use cluster analysis in order to allow for the endogenous selection of converging countries. We formally define convergence in a time series analytical context, derive the necessary and sufficient conditions for convergence, and introduce a cluster analytical procedure that distinguishes several convergence clubs by testing for these conditions using a multivariate test for stationarity. We find a large number of relatively small convergence clubs, which suggests that convergence might not be such a widespread phenomenon. Copyright © 2000 John Wiley & Sons, Ltd.     

CDM 20 years after

ABSTRACT

In year 1998, the seminal paper Research Innovation and Productivity: An Econometric Analysis at the Firm Level was published in this journal. The empirical framework, following on ideas in the research of Zvi Griliches at the NBER and commonly labeled CDM (the acronym of the three authors’ names, Crépon, Duguet and Mairesse) is one of the most influential contributions in recent literature on economics of innovation. The original CDM paper and papers inspired by its framework have received hundreds of citations in the empirical innovation literature. Whether directly linked or not to the CDM framework, the flow of studies improving on and enlarging the scope and methods of the empirical literature on R&D, innovation and productivity is continuing. Some of them, for example, focus on financing innovation, innovation and employment, innovation and trade, competition, or intellectual property; some adopt a managerial perspective, while others prefer an innovation system approach in a Schumpeterian tradition, etc. This introduction to the special issue of EINT surveys a collection of 12 papers on the CDM model by 25 authors from eight countries. The papers take stock of the evolution of research based on the original CDM model launched 20 years ago, linking it to the previous literature, and proposing developments and generalizations of it in various dimensions.     

A REVISED GEOMETRY OF MEAN-VARIANCE EFFICIENT PORTFOLIOS

A revised definition of efficiency compares portfolios with different net worths. One axiom rules out instantaneous riskless gains, the other asserts that it costs money to buy good portfolios. Unlimited short sales are allowed. Portfolios which cannot be improved at any price are called absolutely efficient. The geometry of the mean-standard deviation frontiers is governed by three “efficient set constants”. A few results regarding efficient portfolios must be modified, and a new version of the security line equation is proposed. Explicit formulas are given: no need to use different formulas for singular or non-singular covariance matrix.     

Experience with a simulator for training ammonia plant operators

A computer-based simulator was used for training operators prior to the start-up of a new fertilizer complex which includes a 1,350-MTPD ammonia plant, two 1,100-MTPD urea plants, and a steam and power generation plant with two 18-MW gas turbines. The simulator offered many benefits, which can be used for continued education of operators and engineering studies.     

Entry may increase network providers’ profit

In this paper the incentives for platform sponsors to open up their networks for independent rivals is analyzed. It is shown that open access may increase the platform sponsors’ profit levels and enhance quality improving investments. In addition, it is shown that a commitment to allow entry reduces the difference between ex ante and ex post compatibility incentives.     

Managing Risks in Complex Projects

Dealing effectively with risks in complex projects is difficult and requires management interventions that go beyond simple analytical approaches. This is one finding of a major field study into risk management practices and business processes of 35 major product developments in 17 high‐technology companies. Almost one‐half of the contingencies that occur are not being detected before they impact project performance. Yet, the risk‐impact model presented in this article shows that risk does not affect all projects equally but depends on the effectiveness of collective managerial actions dealing with specific contingencies. The results of this study discuss why some organizations are more successful in detecting risks early in the project life cycle, and in decoupling risk factors from work processes before they impact project performance. The field data suggest that effective project risk management involves an intricately linked set of variables, related to work process, organizational environment, and people. Some of the best success scenarios point to the critical importance of recognizing and dealing with risks early in their development. This requires broad involvement and collaboration across all segments of the project team and its environment, and sophisticated methods for assessing feasibilities and usability early and frequently during the project life cycle. Specific managerial actions, organizational conditions, and work processes are suggested for fostering a project environment most conducive to effective cross‐functional communication and collaboration among all stakeholders, a condition important to early risk detection and effective risk management in complex project situations.