An estimated 2.6 billion people rely on traditional biomass for home cooking and heating, so improving the efficiency of household cookstoves could provide significant environmental, social and economic benefits. Some researchers have estimated that potential greenhouse gas emission reductions could exceed 1 billion tons of carbon dioxide equivalent $\left(\mathrm{CO}_2 \mathrm{e}\right)$ per year. Carbon finance offers a policy mechanism for realizing some of this potential and could also bring improved monitoring to cookstove projects. However, there are formidable methodological challenges in estimating emission reductions. This paper evaluates the quantification approaches to three key variables in calculating emission impacts: biomass fuel consumption, fraction of non-renewable biomass, and emission factors for fuel consumption. It draws on a literature review as well as on interviews with technical experts and market actors, and identifies lessons learned and knowledge gaps. Key research needs identified include incorporating accounting for uncertainty; development of additional default factors for biomass consumption for baseline stoves; refinement of monitoring approaches for cookstove use; broadened scope of emission factors used for cookstoves; accounting for non- $\mathrm{CO}_2$ gases and black carbon; and refinement of estimates and approaches to considering emissions from bioenergy use across methodologies.

Disaster losses continue to escalate globally and in many regions human losses (death, injury, permanent displacement) often exceed the economic toll. Current disaster policies are reactive with a short-term focus―respond and rebuild as quickly as possible and in the same way after the event. Such policies ignore the longer-term approach of building disaster-resilient communities, in which investments made now show financial and social returns later by reducing the impact of disasters. This article provides a vision for resilient nations in 2030 based on three recent policy reports. It highlights the necessary steps towards achieving sustainability using the lens of disaster resilience as the pathway towards strengthening communities' ability to prepare and plan for, absorb, respond to, and recover from present and future disasters.

Sustainable development is a knowledge intensive process, but plagued by persistent concerns over our apparent inability to connect what we know with more sustainable practices and outcomes. While considerable attention has been given to ways we may better understand and enhance the knowledge-based processes that support the governance of social-ecological systems, relatively few have examined the governance of knowledge itself. The institutions-rules and norms-that govern knowledge may shed light on the persistence of 'gaps' between knowledge and action. In this review I seek to answer the question: can interdisciplinary knowledge governance literature contribute to understanding and analysing the institutional knowledge-based dimensions of sustainable development? I present and analyse the concept of knowledge governance as it is emerging in a range of disciplines and practice areas, including private sector management literature and public regulation theory and practice. I then integrate the findings from this review into a model of sustainable development proposed by Nilsson et al. [1]. I show that knowledge governance (as a scale above knowledge management) can inform Nilsson et al.'s three "nested" dimensions of sustainability: human wellbeing (through access to knowledge and freedom to exercise informed choice); resourcebase management (though enhancing regulation and innovation and transitions from exclusive to inclusive knowledge systems); and global public goods (by balancing public and private interests and fostering global innovation systems). This review concludes by presenting a framework that places sustainable development in the context of broader socio-political struggles towards more open, inclusive knowledge systems.

While some countries have achieved considerable development, many others still lack access to the goods and services considered standard in the modern society. As $\mathrm{CO}_2$ emissions and development are often correlated, this paper employs the theoretical background of the Environmental Kuznets Curve (EKC) and the learning curves toolkit to analyze how carbon intensities have changed as countries move towards higher development (and cumulative wealth) levels. The EKC concept is then tested with the methodology of learning curves for the period between 1971 and 2010 , so as to capture a dynamic picture of emissions trends and development. Results of both analyses reveal that empirical data fails to provide direct evidence of an EKC for emissions and development. The data does show, however, an interesting pattern in the dispersion of emissions levels for countries within the same HDI categories. While data does not show that countries grow more polluting during intermediary development stages, it does provide evidence that countries become more heterogeneous in their emission intensities as they develop, later re-converging to lower emission intensities at higher HDI levels. Learning rates also indicate heterogeneity among developing countries and relative convergence among developed countries. Given the heterogeneity of development paths among countries, the experiences of those which are managing to develop at low carbon intensities can prove valuable examples for ongoing efforts in climate change mitigation, especially in the developing world.