Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management

In this paper we describe a framework for multicriteria modeling and support of multi-stakeholder decision processes. We report on its testing in the development of a new water level management policy for a regulated lake-river system in Finland. In the framework the stakeholders are involved in the decision process from the problem structuring stage to the group consensus seeking stage followed by a stage of seeking public acceptance for the policy. The framework aims at creating an evolutionary learning process. In this paper we also focus on the use of a new interactive method for finding and identifying Pareto-optimal alternatives. Role playing experiments with students are used to test the practical applicability of a negotiation support procedure called the method of improving directions. We also describe the preference programming approach for the aggregation of the stakeholder opinions in the final evaluation of alternatives and consensus seeking.     

Social capital in the growth of science-and-technology-based SMEs

There is increasing evidence of the positive role social capital plays in accessing resources and capabilities from and with other actors, and in establishing and maintaining business relationships. Yet, surprisingly little is known about how an organization's social capital and its utilization evolve over time. Focusing on this gap, this paper explores the role of social capital and its structural, relational and cognitive dimensions in the growth of science-and-technology-based SMEs. On the basis of our studies on social capital, entrepreneurial networks and SME growth, we develop a conceptual framework to describe their development through four overlapping phases, each of which involves different managerial tasks: innovation assessment, offering development, commercialization and rapid growth. The results of our longitudinal multiple case studies show that; (i) different types of networks and relationships are important in the transitional periods between the growth phases; and (ii) the role of social capital and its different dimensions varies in developing, maintaining and utilizing these partnerships and network relationships. These findings offer several managerial implications.     

Uncovering procedural knowledge in craft,design, and technology education: a case of hands-on activities in electronics

Different knowledge types have their own specific features and tasks in the learning process. Procedural knowledge is used in craft and technology education when students solve problems individually and share their working knowledge with others. This study presents a detailed analysis of a one student’s learning process in technology education and the procedural knowledge used during learning tasks. Thus, procedural knowledge is mainly produced when acting, and includes students’ goal-directed actions related to the craft, design and technology processes and their learning content. These knowledge practices also include multiple interactions with teachers and other students. The findings show six different knowledge practices: observing, checking and asking, revising, guided representative action, self-directed representative action, and comprehended action. These knowledge practices actively relate to each other, and, in concert, they constitute chains of actions that constitute two different types of procedural knowledge: proactive knowledge and executive knowledge. We conclude by discussing how these knowledge practices can be used to develop our understanding of the teaching and learning of craft, design and technology.     

Estimating Mortality and Economic Costs of Particulate Air Pollution in Developing Countries: The Case of Nigeria

The value of statistical life is an essential parameter used in ascribing monetary values to the mortality costs of air pollution in health risk analyses. However, this willingness to pay estimate is virtually non-existent for most developing countries. In the absence of local estimates, two major benefit transfer approaches lend themselves to the estimation of the value of statistical life: the value transfer method and the meta-regression analysis. Using Nigeria as a sample country, we find that the latter method is better tailored than the former for incorporating many characteristics that vary between study sites and policy sites into its benefit transfer application. It is therefore likely to provide more accurate value of statistical life predictions for very low-income countries. Employing the meta-regression method, we find Nigeria’s value of statistical life estimate to be $489,000. Combining this estimate with dose response functions from the epidemiological literature, it follows that if Nigeria had mitigated its 2006 particulate air pollution to the World Health Organisation standards, it could have avoided at least 58,000 premature deaths and recorded an avoided mortality related welfare loss of about $28 billion or 19 % of the nation’s GDP for that year.     

Incomplete Insurance and Non-expected Utility

This paper shows that the estimation of non-expected utility (Kreps–Porteus preference) based on the representative agent model is less robust with respect to the departure from complete markets than is the expected utility for the following reasons. First, the precautionary saving caused by uninsured shocks may be evaluated incorrectly. Second, the portfolio held by individual household includes not only marketable assets, but also non-marketable assets (e.g. human capital) in the context of incomplete markets. Third, returns on marketable assets may not provide sufficient information for recovering relevant parameters. The estimated parameters available from the existing empirical research are consistent with the biasedness of parameters implied by this study.
JEL Classification: E44, G12.     

Armington elasticities in intermediate inputs trade: a problem in using multilateral trade data

Abstract.  In this paper we find that the estimates of Armington elasticities (the elasticity of substitution between groups of products identified by country of origin) obtained from multilateral trade data can differ from those obtained from bilateral trade data. In particular, the former tends to be higher than the latter when trade consists largely of intermediate inputs. Given that the variety of intermediate inputs traded across borders is increasing rapidly and that the effect of this increase is not adequately captured in multilateral trade data, the evidence shows that the employment of multilateral trade data to estimate Armington elasticities needs caution. JEL classification: F14, C51     

Environmental Protection in the Presence of Unemployment and Common Resources

This paper examines the effects of an export tax (on a processed resource good), the number of harvesters and an afforestation policy in a small, open economy with urban unemployment. The export tax increases the urban unemployment rate, but improves the quality of the environment. Here, the optimal export tax is lower than the adjusted marginal environmental damage. Reducing the number of harvesters has a similar resource allocation effect to that of an export tax. However, the afforestation policy can resolve the trade‐off between urban unemployment and the quality of the environment and may also improve the welfare of a country.