Optimal Conservation Programs, Asymmetric Information and the Role of Fixed Costs

An increasing number of environmental protection programs offers financial compensation to farmers in exchange for conservation services. Incentive-compatible contracts can be designed to mitigate excess compensation, but the extant literature suggests that outcomes are always second-best so that other instruments (such as conservation auctions) may be preferred. We argue that the claim regarding the first-best solution never being incentive-compatible is correct if all conservation costs are variable in nature; if there are fixed costs too, the first-best compensation scheme may be incentive-compatible after all. Given the relevance of fixed costs in conservation issues, we conclude that incentive-compatible contracts should be given a second chance as a policy measure to induce conservation.     

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.     

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.     

Social capital as a distinctive feature of Social Economy firms

In recent years, the growing importance in developed countries of the Social Economy sector and the contribution of social capital to regional economic development are being studied in depth. Linking these two fields of research, the aim of the present work is to analyse the social capital endowments of Social Economy firms in comparison to those in traditional profit-maximizing firms. To do so, a literature review will be firstly carried out to clarify both the concept of social capital and, more specifically, its relation with entrepreneurship and social enterprises. In the empirical section, the social capital endowments both of social firms (cooperatives and owned-worker enterprises) and traditional firms are compared using data from two surveys conducted in Andalusia, a lagged Spanish region with long tradition in the Social Economy sector. Results show that social capital endowments measured through cooperation agreements and company links with local suppliers and costumers are higher in cooperatives and worker-owned companies. Therefore, Andalusian authorities must continue with its support policy to these enterprises as a mean to reinforce the regional economic development.     

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.     

The debt-equity financing decisions of U.S. startup firms

We examine the debt-equity decisions of startup firms using the Kauffman Firm Survey, the largest database of U.S. startups launched in 2004. To control for sample selection bias and the correlation among financing decisions, we employ a Bivariate Probit-Tobit model. Our results show that several firm characteristics such as growth prospects, firm size, tangible assets, and selling products, as well as owner characteristics such as net worth, experience, education and ethnicity explain the debt-equity decisions in the startup year. In addition, for firms that use debt, we document traits that explain the use of a particular type of business versus personal debt. Larger firms use more business debt, whereas home-based and growth firms use more personal sources of debt. Immigrants, owners who lack work experience and those who invest more time in the business tend to rely more on personal sources of debt.