• Energy Research

This study reviews the scientific literature for business models contributing to sustainable plastic management and suggests avenues for future research. We define sustainable plastic management (SPM) as any technique along the waste hierarchy seeking to minimize the environmental damage of plastic material. Limited cases were found during the literature review, whereas many more SPM business models exist in practice, signaling a research gap. Forty-four scientifically documented business models were identified and analyzed on the basis of business model component, sustainability, level of waste hierarchy and sustainable business model archetype. Our results suggest that business models focus on recycling and creating value from waste, as well as the development of bioplastic. Few cases qualified as triple bottom line businesses, as many reported environmental and economic, but not social, benefits. Circular economy business models were found in a quarter of all cases. Finally, we present a synthesis of the barriers and opportunities for sustainable plastic management by the private sector. Drivers include maintaining competitive advantage, accessing green customers, collaboration with stakeholders, and achieving efficiency improvements. Barriers frequently mentioned were high costs, complexity of new systems, supply chain lock-in and low customer buy-in. Further research should expand the scale of SPM research, identify the enabling conditions for sustainable plastic management, and determine environmental impact.

Industry representatives are key stakeholders in addressing pollution in the rivers surrounding Dhaka, Bangladesh, a fast growing megacity. Drawing on insights from political-ecology and framing water management as a sociotechnical system, we present an analysis of in-depth interviews conducted with representatives from key polluting industries. Three main thematic areas resulting from these interviews relate to the management of effluent treatment plants, the need for enhanced education, both technical and moral, and sociocultural factors that shape attitudes toward water management. In these areas, industrial representatives show multiple ways and realms in which more sustainable water governance in Dhaka may be enacted.

Modern fuels are an important enabler of social and economic development. Still, over 2 billion people rely on traditional biomass for their daily energy needs. To overcome the negative effects of traditional energy on human health and the environment and to enhance the livelihood conditions of the poor, a transition towards cleaner and more efficient forms of energy is needed. Understanding household fuel choice and fuel switching behaviour is of vital importance in search for policies to support such a transition process. This paper adds to the existing energy transition literature in two ways. First, we provide a novel conceptual framework to analyze the decision environment underlying energy and fuel choices. Second, we apply this framework in a meta-analysis of existing choice models investigating energy switching and stacking behaviour in urban and rural areas in developing countries. The meta-analysis shows that socio-economic household characteristics appear to receive most attention so far in identifying groups of fuel users, while relatively little information is available on the impact of the external decision context on household energy choices. © 2012 Elsevier Ltd.

The sustainable development goals (SDGs) and the Paris agreement target a global cleaner energy transition with wider adaptation, poverty reduction and climate resilience benefits. Hydropower development in the transboundary Koshi river basin in the Himalayan region presents an intervention that can support the SDGs whilst meeting the regional commitments to the Paris agreement. This study aims to quantify the benefits of proposed water resource development projects in the transboundary basin (4 storage and 7 run-of-the-river hydropower dams) in terms of hydroelectric power generation, crop production and flood damage reduction. A hydro-economic model is constructed by soft coupling hydrological and crop growth simulation models to an economic optimization model. The model assesses the potential of the interventions to break the vicious cycle of poverty and water, food, and energy insecurity. Unlike previous studies, the model (a) incorporates the possibility of using hydropower to pump groundwater for irrigation as well as flood regulation and (b) quantifies the resilience of the estimated benefits under future climate scenarios from downscaled general circulation models affecting both river flows and crop growth. The results show significant potential economic benefits generated from electricity production, increased agricultural production, and flood damage control at the transboundary basin scale. The estimated annual benefits are around USD 2.3 billion under the baseline scenario and USD 2.4 billion under a future (RCP 4.5) climate scenario, compared to an estimated annual investment cost of USD 0.7 billion. The robustness of the estimated benefits illustrates the climate resilience of the water resource development projects. Contrary to the commonly held view that the benefits of these proposed projects are limited to hydropower, the irrigation and flood regulation benefits account for 40 percent of the total benefits. The simulated scenarios also show substantial irrigation gains from the construction of the ROR schemes, provided the generated power is also used for groundwater irrigation. The integrated modelling framework and results provide useful policy insights for evidence-based decision-making in transboundary river basins around the globe facing the challenges posed by the water-food-energy nexus.

Payments for Environmental Services (PES) constitute an innovative economic intervention to counteract the global loss of biodiversity and ecosystem functions. In theory, some appealing features should enable PES to perform well in achieving conservation and welfare goals. In practice, outcomes depend on the interplay between context, design and implementation. Inspecting a new global dataset, we find that some PES design principles pre-identified in the social-science literature as desirable, such as spatial targeting and payment differentiation, are only partially being applied in practice. More importantly, the PES-defining principle of conditionality-monitoring compliance and sanctioning detected non-compliance-is seldom being implemented. Administrative ease, multiple non-environmental side objectives and social equity concerns may jointly help explain the reluctance to adopt more sophisticated, theoretically informed practices. However, by taking simplifying shortcuts in design and implementation, PES programmes may become less environmentally effective and efficient as economic incentives, thus underperforming their conservation potential.

The main objective of this paper is to provide additional empirical evidence of what explains respondent uncertainty in contingent valuation (CV) and how this in turn affects stated willingness to pay (WTP). Air travelers asked to pay a carbon travel tax to offset carbon emissions from flying were asked how likely it is that they will actually pay if the tax is voluntary. When changing the market compliance imperative from a mandatory carbon tax to a voluntary contribution, a third of all air travelers consider it unlikely they will actually pay their stated WTP amount. An ordered probit estimation approach is applied to identify the sources of respondent uncertainty. Besides the bid price, respondent sense of responsibility and belief in the effectiveness of the voluntary carbon market are among the main reasons for the experienced uncertainty. © 2008 Elsevier B.V. All rights reserved.