Formal and informal external linkages and firms�� innovative strategies. A cross-country comparison

Firms increasingly rely upon external actors for their innovation process. Interaction with these actors may occur formally (i.e. through a collaboration agreement) or informally (i.e. external actors acts as sources of information). We analyze the reasons why firms consider it to be important to develop formal and informal external linkages in the innovation process by looking at the role played by firms’ innovative strategies and by taking into account the possibility that a complementarity or substitutive relationship might exist between formal and informal linkages. Data are from the Third Community Innovation Survey (CIS 3), where we have access to firm level micro-data from Sweden, Norway, the Netherlands and the UK.     

Altruistic, egoistic and biospheric values in willingness to pay (WTP) for wildlife

We attempt to measure general attitudes and ethical beliefs towards preservation, as well as the importance of each of the three considered value orientations (biospheric, egoistic and altruistic) in WTP estimates. In the present study, we apply the GAC scale to a contingent valuation exercise for the recovery of the common murre (Uria aalge) in Galicia (Spain). Up to now, only a few studies in the field of environmental and ecological economics have analyzed value orientations under the Environmental Concern (EC) framework, obtaining mixed results. In the present work, we conclude that ethical aspects affect the individuals decision making process, and that value orientations play an important role in the pro-environmental attitude formation. These value orientations affect willingness to pay (WTP) estimates for environmental goods.     

DEALING WITH UNCERTAINTY: ROBUST RULES IN MONETARY POLICY

We argue that in seeking to insure against model uncertainty, monetary policy makers are often ready to trade ex post performance for greater certainty in the outcome. They thus look for rules that although not optimal ex post, have certain properties that qualify them as robust. We apply first, Gul's approach of ‘disappointment’ aversion to describe policy makers' aversion to uncertainty and then define the properties the notion of ‘robustness’ entails. With these two tools we then link the desirability of such robust rules to the degree of policy makers' aversion to uncertainty. We thus show that provided such robust rules exist, a larger degree of disappointment aversion leads to a greater emphasis on robustness in policy implementation.     

Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy

In this paper empirical evidence is presented on theelasticity of private R & D spending on its price. Acensored panel-data regression model with random effectsis applied to a balanced panel of 726 Italian firms overthe 1992–1997 period. Implied estimates point out thatItalian firms' response to policy measures (including taxcredits), aimed at reducing the user cost of R & D capital,is likely to be substantial (1.50–1.77). Furthermore, wealso find that the elasticity of R & D spending is higherin recession (2.01) than in expansion (0.87).     

Integrated bio-economic models as tools to support land-use decision making: a review of potential and limitations

Bio-economic modelling has become a useful tool for anticipating the outcomes of policies and technologies before their implementation. Advances in mathematical programming have made it possible to build more comprehensive models. In an overview of recent studies about bio-economic models applied to land-use problems in agriculture and forestry, we evaluated how aspects such as uncertainty, multiple objective functions, system dynamics and time have been incorporated into models. We found that single objective models were more frequently applied at the farm level, while multiple objective modelling has been applied to meet concerns at the landscape level. Among the objectives, social aspects are seldom represented in all models, when being compared to economic and environmental aspects. The integration of uncertainty is occasionally a topic, while stochastic approaches are more frequently applied than non-stochastic robust methods. Most multiple-objective models do not integrate uncertainty or sequential decision making. Static approaches continue to be more recurrent than truly dynamic models. Even though integrating multiple aspects may enhance our understanding of a system; it involves a tradeoff between complexity and robustness of the results obtained. Land-use models have to address this balance between complexity and robustness in order to evolve towards robust multiple-objective spatial optimization as a prerequisite to achieve sustainability goals.     

Set them (almost) free: Discretion in electoral campaigns under incomplete information

The paper analyzes a model of electoral campaigning as a problem of competitive delegation. We consider an environment characterized by two sources of uncertainty: uncertainty on the nature of the optimal policy and uncertainty on the candidates’ biases. Although voters know whether the candidate is left‐ or right‐wing, they do not know the extent of the bias. In this environment, discretion may benefit voters as it allows the elected politician to adjust his policies to the state of the world. The paper shows that the optimal set of promises must be a closed interval, whose size is decreasing in the expected bias of the candidate. An example where the set of types is finite shows that an increase in the variability of candidates’ types may either increase or decrease the voters’ willingness to grant discretion to politicians.     

Which projects are selected for an innovation subsidy? The Portuguese case

Portuguese Economic Journal - Several empirical studies have analyzed which firm characteristics influence government evaluators in the decision to select specific firms to participate in Research...     

Cost effectiveness of benralizumab for severe,uncontrolled oral corticosteroid–dependent asthma in Sweden

Abstract

Aim: We investigated cost effectiveness of benralizumab vs. standard of care (SOC) plus oral corticosteroids (OCS) for patients with severe, eosinophilic OCS-dependent asthma in Sweden.

Materials and methods: A three-state, cohort-based Markov model of data from three Phase III benralizumab clinical trials (ZONDA [NCT02075255], SIROCCO [NCT01928771], and CALIMA [NCT01914757]) was used to assess the incremental cost-effectiveness ratio of benralizumab vs. SOC plus OCS. Health outcomes were estimated in terms of quality-adjusted life-years (QALYs). The model included costs and disutilities associated with extrapolated OCS-related adverse events. Patients with severe asthma were defined as those receiving OCS ≥5?mg/day.

Results: Benralizumab demonstrated a cost-effectiveness ratio vs. SOC plus OCS of 2018 Swedish Kronor (SEK) 366,855 (€34,127) per QALY gained, based on increases of 1.33 QALYs and SEK 488,742 (€45,344) per patient. Benralizumab treatment costs contributed most to incremental costs. The probability of benralizumab’s being cost-effective with willingness-to-pay (WTP) thresholds between SEK 429,972 (€40,000) and SEK 752,452 (€70,000) ranged from 75% to 99%.

Limitations: Potential limitations of these analyses include the use of combined data from three different clinical trials, a one-way sensitivity analysis that did not include mortality and transition estimates, and Observational & Pragmatic Research Institute (OPRI) data from the UK as a proxy of the Swedish health care system.

Conclusions: The results of these analyses demonstrate that benralizumab has a high probability of being cost-effective compared with SOC plus OCS for a subgroup of patients with severe, eosinophilic asthma receiving regular OCS treatment and may support clinicians, payers and patients in making treatment decisions.     

Antecedents and consequences of logistics value: And empirical investigation in the Spanish market

In business practice and the academic study of logistics, the incorporation of concepts such as quality followed by value has been truly revolutionary. In addition, the use of information and communication technologies (ICT) has substantially modified the way inter-company relationships are managed. This has meant that logistics is no longer considered a routine, merely operational activity but a strategic variable which is a deciding factor in achieving customer satisfaction. There are, however, still a large number of companies which continue to ignore the differentiating potential of logistics and consider it to be a routine activity. Our contribution comes within the framework of this new perspective which is analysed on the basis of an emerging concept: logistics value. The objective of this study is to contribute to the knowledge on what logistics value consists of and how it is formed, in business to business (B2B) relationships in particular. On the basis of a theoretical framework obtained from the literature review of perceived value from a trade-off perspective, we carry out an empirical analysis to determine the antecedents and consequences of logistics value. Our results, through SEM analysis show that ICT, the benefits derived from supplier-customer relationship, logistics service quality and the sacrifices associated to logistics service delivery in terms of costs, contribute to creating logistics value which is the antecedent to the classic satisfaction-loyalty chain.