Both religious and secular ethics to achieve both happiness and health: Panel data results based on a dynamic theoretical model.

This paper evaluates the direct and indirect impacts (and their interactions) of individual and social ethics from (primary, secondary, tertiary) education and religion (Buddhism, Christianity, Hinduism, Islam, Judaism) on health and happiness in alternative religious contexts (majority and minority religions) and for alternative education policies (gross enrolment and per-student expenditure). It also specifies the time lag for the short-run indirect impact (and its size) of happiness on health and the long-run equilibria of both happiness and health. The statistical results show that there is no religious or secular ethics with beneficial impacts on both happiness and health at both the individual and social levels. Next, education policies have similar impacts on both happiness and health in all religious contexts, while most religious ethics have larger beneficial impacts on health and happiness if coupled with social and individual education policies, respectively. Combined statistical and analytical results show that the largest short-run indirect impact of happiness on health occurs after 4 years, where 1 out of 10 points of happiness produces approximately 3 additional years of healthy life expectancy at birth. Next, the long-run equilibria of both happiness and health are globally stable and are achieved after 8 years through oscillation dynamics.

Social benefits and individual costs of creativity in art and science: A statistical analysis based on a theoretical framework.

In this study, we statistically identified and characterized the relationship between the long-run social benefits of creativity and the in-life individual costs (in terms of happiness and health) of creativity. To do so, we referred to a theoretical framework that depicts a creator's life. We generated a balanced dataset of 200 creators (i.e., composers, painters, mathematicians and physicists, and biologists and chemists born between 1770 and 1879), and calculated standardized evaluations of the long-run social benefits in different domains (performances, exhibitions, citations). We performed regression analysis and identified the statistical determinants of the relationship between a creator's social benefits and the costs to their happiness and health. We found that creativity represented an individual cost for all four creator groups, with a larger impact on happiness than on health; the cost was greater if creativity was based more on divergent than on convergent thinking or if authors faced greater language issues. The impacts of long-run social benefits on individual happiness and health were similar in the arts and sciences if institutional differences were taken into account.

Using ecosystem services in decision-making to support sustainable development: Critiques, model development, a case study, and perspectives.

In this paper, I propose a general, consistent, and operational approach that accounts for ecosystem services in a decision-making context: I link ecosystem services to sustainable development criteria; adopt multi-criteria analysis to measure ecosystem services, with weights provided by stakeholders used to account for equity issues; apply both temporal and spatial discount rates; and adopt a technique to order performance of the possible solutions based on their similarity to an ideal solution (TOPSIS) to account for uncertainty about the parameters and functions. Applying this approach in a case study of an offshore research platform in Italy (CNR Acqua Alta) revealed that decisions depend non-linearly on the degree of loss aversion, to a smaller extent on a global focus (as opposed to a local focus), and to the smallest extent on social concerns (as opposed to economic or environmental concerns). Application of the general model to the case study leads to the conclusion that the ecosystem services framework is likely to be less useful in supporting decisions than in identifying the crucial features on which decisions depend, unless experts from different disciplines are involved, stakeholders are represented, and experts and stakeholders achieve mutual understanding.

An optimization model for integrated urban planning: development and application to Algeria's Reghaïa and Heraoua municipalities.

In this paper, I develop an optimization model for integrated urban planning for land use at the municipality level, in which decisions arise from an area-based weighted-GDP maximisation algorithm whose weights represent the sustainability and implementability of the land uses. The model favours the involvement of stakeholders in urban governance, but does not use complicated assessment procedures for non-economic indicators or relative weights to combine economic, social and environmental indicators; instead, the integration between economic activities and environmental status is represented objectively and non-linearly by referring to initial and sustainability conditions. The model accounts for both human and environmental dynamics by adopting a spatial structure that permits compromises between economic information (available at a macro level) and ecological information (available at a micro level). A single value is attached to each urban governance, with an elicitation of future decisions (including acceptance of the status quo) and the ability to provide an evaluation of past decisions: some environmental policies are considered. The model's predictions are based on reasonably reliable knowledge that can be easily collected, with reliability determined by calculating the confidence level. The resulting urban governance can then be presented and further analysed within a geographical information system. A case study of the model's application to Algeria's Reghaïa and Heraoua municipalities provides insights into optimal urban governance, with and without water quantity or quality policies, in terms of resource sustainability, sectoral development, and pollution sustainability. I also assess the previous master plan in terms of the land uses suggested by the model.

Integrated coastal management: top-down vs. community-based approaches.

In this paper, a dynamic model is developed in which coastal quality can be improved, restored, or maintained by two distinct user groups; this is done by identifying a context that ensures an increase (or a greater increase) in coastal quality in terms of specific features that characterise the user groups. The results demonstrate that integrated coastal management is always better than non-integrated management. Moreover, when there is a low degree of interest in maintaining the coastal use over time, only integrated community-based (CB) coastal management will increase the coastal quality. Even when the interest in maintaining the coastal use over time is high, an integrated CB approach is preferred if the willingness to pay for coastal improvements is great and the marginal inefficiency of investments in coastal improvements is low, because the coastal quality improves to a greater extent; if not, only an integrated top-down (TD) approach to coastal management will increase the coastal quality. These results suggest that developing countries should always adopt a CB approach; in contrast, developed countries should adopt a CB approach where local stakeholders attach direct values to the coastal quality, and adopt a TD approach where the general population attaches indirect (option or existence) values to coastal quality.