Systems for assessing the effectiveness of management in protected areas

Since the mid-1990s, numerous methodologies have been developed to assess the management effectiveness of protected areas, many tailored to particular regions or habitats. Recognizing the need for a generic approach, the World Commission on Protected Areas (WCPA) developed an evaluation framework allowing specific evaluation methodologies to be designed within a consistent overall approach. Twenty-seven assessment methodologies were analyzed in relation to this framework. Two types of data were identified: quantitative data derived from monitoring and qualitative data derived from scoring by managers and stakeholders. The distinction between methodologies based on data types reflects different approaches to assessing management. Few methodologies assess all the WCPA framework elements. More useful information for adaptive management will come from addressing all six elements. The framework can be used to adapt existing methodologies or to design new, more comprehensive methodologies for evaluation, using quantitative monitoring data, qualitative scoring data, or a combination of both.

Innovation and environmental policy: Clean vs. dirty technical change

We study a two sector endogenous growth model with environmental quality with two goods and two factors of production, one clean and one dirty. Technological change creates clean or dirty innovations. We compare the laissez-faire equilibrium and the social optimum and study first- and second-best policies. Optimal policy encourages research toward clean technologies. In a second-best world, we claim that a portfolio that includes a tax on the polluting good combined with optimal innovation subsidy policies is less costly than increasing the price of the polluting good alone. Moreover, a discriminating innovation subsidy policy is preferable to a non-discriminating one.

Global Warming And Extreme Events: Rethinking The Timing And Intensity Of Environmental Policy

The possibility of low-probability extreme events has reignited the debate over the optimal intensity and timing of climate policy. In this paper we therefore contribute to the literature by assessing the implications of low-probability extreme events on environmental policy in a continuous-time real options model with “tail risk”. In a nutshell, our results indicate the importance of tail risk and call for foresighted pre-emptive climate policies.

Moral Behaviour, Altruism and Environmental Policy

Free‐riding is often associated with self‐interested behaviour. However if there is a global mixed pollutant, free‐riding will arise if individuals calculate that their emissions are negligible relative to the total, so total emissions and hence any damage that they and others suffer will be unaffected by whatever consumption choice they make. In this context consumer behaviour and the optimal environmental tax are independent of the degree of altruism. For behaviour to change, individuals need to make their decisions in a different way. We propose a new theory of moral behaviour whereby individuals recognise that they will be worse off by not acting in their own self‐interest, and balance this cost off against the hypothetical moral value of adopting a Kantian form of behaviour, that is by calculating the consequences of their action by asking what would happen if everyone else acted in the same way as they did. We show that: (a) if individuals behave this way, then altruism matters and the greater the degree of altruism the more individuals cut back their consumption of a ’dirty’ good; (b) nevertheless the optimal environmental tax is exactly the same as that emerging from classical analysis where individuals act in self‐interested fashion.