Optimal Investment in Clean Production Capacity

For the mitigation of long-term pollution threats, one must consider that both the process of environmental degradation and the switchover to new and cleaner technologies are dynamic. We develop a model of a uniform good that can be produced by either a polluting technology or a clean one; the latter is more expensive and requires investment in capacity. We derive the socially optimal pollution stock accumulation and creation of nonpolluting production capacity, weighing the tradeoffs among consumption, investment and djustment costs, and environmental damages. We consider the effects of changes in the pollution decay rate, the capacity depreciation rate, and the initial state of the environment on both the steady state and the transition period. The optimal transition path looks quite different with a clean or dirty initial environment. With the former, investment is slow and the price of pollution may overshoot the long-run optimum before converging. With the latter, capacity may overshoot.     

Matching demand and supply in the agricultural knowledge infrastructure: Experiences with innovation intermediaries

The privatization of agricultural research and extension establishments worldwide has led to the development of a market for services designed to support agricultural innovation. However, due to market and systemic failures, both supply side and demand side parties in this market have experienced constraints in effecting transactions and establishing the necessary relationships to engage in demand-driven innovation processes. To mitigate these constraints, a field of intermediary organizations has emerged to assist agricultural entrepreneurs to articulate demand, forge linkages with those that can provide innovation support services, and manage innovation processes. This article aims to give an overview of the different kinds of the so-called innovation intermediaries that have emerged in The Netherlands and to report on their contributions and the tensions that are being experienced with regard to their functioning. The article concludes with a discussion in which it is argued that the state should play a role as a ‘market facilitator’, by funding such innovation intermediaries.     

The effect of internal and external technology sourcing on firm performance throughout the technology life cycle

In studies about the impact of technology sourcing on firm performance, the impact of the technology life cycle has thus far received scant attention. This paper investigates this topic from the knowledge-based perspective. Data was gathered from 22 PLD (Programmable Logic Device) manufacturers in the integrated circuit industry between 1986 and 2005, and used to test two hypotheses based on panel analysis: (1) that strategic alliance networks, as a mode of external technology sourcing, have a positive effect on a firm's innovative and market performance early in the technology life cycle, and (2) that internal development as a mode of internal technology sourcing has a positive effect on a firm's innovative and market performance later in the technology life cycle. Although both hypotheses are supported as far as market performance is concerned, neither is supported when it comes to innovative performance.     

Reputation Management Capabilities as Decision Rules*

We draw on a detailed grounded theory study of the reactions of Dutch food firms to the recent introduction of genetically modified foods to inductively identify the capabilities that firms develop in response to reputational threats. Central to the view on capabilities we propose are the decision rules organizations use to link individual actions to organizational outcomes. Four reputation management capabilities were identified, which were aimed at, respectively: (1) engaging in a cooperative dialogue with relevant stakeholders; (2) presenting the organizational point of view favourably in the eyes of external beholders; (3) avoiding organizational ‘ownership’ of critical reputational threats; and (4) communicating meaningfully with affected parties, even under conditions of high adversity and time‐pressure.     

Organizational Identification during a Merger: The Role of Self‐Enhancement and Uncertainty Reduction Motives during a Major Organizational Change

Past research focuses predominantly on self‐enhancement as a motive underlying organizational identification even though there have been several calls for examining multiple motives of identification. Our research explores the interplay of the self‐enhancement and the uncertainty reduction motives in shaping identification during a major organizational change: a merger of a business unit with its parent corporation. Based on analysis of survey responses collected from 751 employees of the merging business unit, we find that the self‐enhancement motive, measured via attractiveness of perceived organizational identity and perceived external prestige, continues to influence identification during this merger. However, its effects are diminished when considering the effect of the uncertainty reduction motive. In particular, in addition to affecting identification directly, this latter motive, measured via agreement with projected identity of the business unit and identification with a distal target (i.e., the parent corporation), decreases the effect of perceived external prestige on business unit identification. Our research answers longstanding calls for understanding organizational identification motives beyond self‐enhancement, and shows how multiple identification motives work during a major organizational change: a time when identification is strongly needed, yet hard to garner.     

Flexibility and specialization in question; birth,growth and death rates of Cambridge new technology-based firms 1988–92

Insight into the investment behaviour of firms is central in understanding economic dynamics. A critical question, however, is whether firms provide sufficiently reliable data to enable them to make plausible forecasts at the meso (regional or sectoral) level. This paper analyses Dutch investment forecasts at different levels of aggregation. The central research question is whether entrepreneurs, individually or as a group, make systematic errors in their investment forecasts. A statistical test reveals that investment forecasts are not biased at the aggregated (regional and sectoral) level. At the micro level, however, there is a significant bias. Hence, using aggregated (regional and sectoral) data to test the lack of bias (unbiasedness) of forecasts may lead to the wrong conclusions. Moreover, aggregated investment forecasts may then be an inappropriate source for policy recommendations, despite their seemingly high reliability. This finding may in principle be valid for many European countries, since data collection on investment is organized in similar ways throughout Europe.     

An empirical investigation of scheduling performance criteria

Planning and scheduling significantly influence organizational performance, but literature that pays attention to how organizations could or should organize and assess their planning processes is limited. We extend planning and scheduling theory with a categorization of scheduling performance criteria, based on a three-stage survey research design. Particularly, the results show that, next to schedule quality, the planning process factors timeliness, flexibility, communication, and negotiation are important performance criteria, and especially so in organizations that are faced with high levels of uncertainty. The results suggest that organizational and behavioral aspects of planning and scheduling cannot be mitigated with advanced models and software that solely focus on good schedules. Rather, high quality schedules and high quality scheduling processes need to be facilitated simultaneously to attain high planning and scheduling performance.     

Learning towards system innovation: Evaluating a systemic instrument

In this paper we develop an analytical framework for studying learning processes in the context of efforts to bring about system innovation by building new networks of actors who are willing to work on a change towards sustainable development. We then use it to evaluate two specific intervention programmes carried out by a self-proclaimed ‘system instrument’. The framework integrates elements from the Innovation Systems approach with a social learning perspective. The integrated model proposes essentially that these kinds of systemic instruments can serve to enhance conditions for social learning and that such processes may result in learning effects that contribute to system innovation by combating system imperfections. The empirical findings confirm the assumption that differences in learning can be explained by the existence or absence of conditions for learning. Similarly, the existence or creation of conducive conditions could be linked to the nature and quality of the interventions of the systemic instrument. We conclude that the investigated part of the hypothesised model has not been refuted and seems to have explanatory power. At the same time we propose that further research is needed among others on the relation between learning, challenging system imperfections and system innovation.     

On nonrenewable resource oligopolies: The asymmetric case

We give a full characterization of the open-loop Nash equilibrium of a nonrenewable resource game between two types of firms differing in extraction costs. We show that (i) there almost always exists a phase where both types of firms supply simultaneously, (ii) when the high cost mines are exploited by a number of firms that goes to infinity the equilibrium approaches the cartel-versus-fringe equilibrium with the fringe firms acting as price takers, and (iii) the cheaper resource may not be exhausted first, a violation of the Herfindahl rule, that may be detrimental to social welfare.     

Optimal management of the growth potential of renewable resources

This paper offers an analysis of the optimal harvesting of a renewable resource when human activity other than harvesting plays a role in the growth process of the resource. The activity we have in mind is not related to pollution or exploration but refers to the ability to influence the growth process directly by means of creating favorable conditions. The analysis gives rise to results which differ substantially from the usual outcomes in the economics of renewable resources. For instance, in the examples under study an increase in the price of the harvested commodity will lead to an increase of the steady state stock of the renewable resource.The authors gratefully acknowledge the comments of two anonymous referees. This research was initiated when David Levhari visited CentER at Tilburg University.