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According to the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol under it, industrial countries have to estimate their greenhouse gas emissions annually, and assess the uncertainties in these estimates. In Finland, agricultural methane (CH4) and nitrous oxide (N2O) emissions represent 7% of anthropogenic greenhouse gas emissions, and globally the share is much higher. Agriculture is one of the most uncertain emission categories (representing over 20% of greenhouse gas inventory uncertainty in Finland), due to both high natural variability of the emission sources and poor knowledge of the emission-generating processes. In this paper, we present an uncertainty estimate of agricultural CH4 and N2O emissions from Finland in 2002. Uncertainties were estimated based on measurement data, literature and expert judgement, and total uncertainty in agriculture was calculated using Monte Carlo simulation. According to the calculations, agricultural CH4 and N2O emissions from Finland were 3.7 to 7.8 Tg carbon dioxide (CO2) equivalents, 5.4 Tg being the mean value.Estimates of CH4 emissions are more reliable than those of N2O. N2O from agricultural soils was the most uncertain emission category, and the uncertainty was not reduced by using available national measurement data of N2O fluxes. Sensitivity study revealed that the uncertainty in total agricultural inventory could be 7% points lower, if more accurate emission estimation methods were used, including 1) improved data collection in area estimates of organic soils, 2) climate-specific methods for N2O from agricultural soils as already presented in literature, and 3) more detailed CH4 estimation methods for enteric fermentation which can be achieved by investigating national circumstances and digestible systems of animals in more detail.

This paper provides empirical evidence on delinking and Environmental Kuznets Curve (EKC) for municipal waste production in Italy. First, methodological issues and literature on delinking and EKC for waste are critically re-examined. Secondly, we analyse two very disaggregated panel datasets on Italian Regions and Provinces (1996-2004 data for the 20 regions, 2000-2004 data for the 103 provinces) to estimate the extent to which delinking between waste production and economic drivers is taking place. The empirical analysis of different specifications shows mixed evidence in favour of an EKC relationship. Evidence supporting an EKC hypothesis significantly arises at a provincial level, which presents a very high data heterogeneity. Nevertheless, the turning point is at very high levels of added value per capita (around 23,000-26,000€), which characterise a very limited number of wealthy (Northern) Italian provinces. The analysis does not reveal a similar evidence for the regional dataset: only a relative delinking dynamic emerges at the provincial level, we also note a positive relationship between waste production and the share of separated waste collection, which can be explained by the sharp difference in income and waste-policy performance between Northern and Southern Italy. Population density is not significant. Finally, the test on some policy proxies, i.e. the diffusion of the new waste tariff regime at the local-level and the ability of utilities to recover waste service cost, leads to the conclusion that they are not (yet) impacting waste production. To lower the turning points and to avoid an increasing gap between geographical areas, innovative (market based) and more effective policy instruments should be implemented. In particular, the weight of waste policies should be rebalanced towards waste prevention targets and instruments, in line with the priorities stated by the EU and Member Countries. In fact, the indirect feedback effect of good post-production waste management policies/practices on reducing waste production at a source can be weak and slow. In general, the results confirm that more geographically-disaggregated data may offer more insights with respect to cross-country datasets, also from the policy perspective.

We start addressing the performance of environmentally related taxes in Argentina, Bolivia and Uruguay and find differences in level and structure with OECD countries but with the common feature that energy taxes are prime contributors. We then model an energy tax reform process out a status quo and towards environmentally related excises, distinguishing between uniform and non-uniform tax components, positive and normative tax structures, and between non-Ramsey and Ramsey specifications. We implement the model after some effort to estimate local and global environmental costs related to energy consumption. We find a rebalancing of fuel taxes (where gasoline and diesel are main drivers) that is robust to the range of price-demand elasticity and environmental cost parameters. Environmental (almost local) gains of the reform are significant, while fiscal impacts are positive and large but do not allow to claim double dividend effects because of price increases of widespread energy inputs triggered by the reform exercise. In the case of Argentina and Bolivia pre-existing distortions in energy prices imply large increases in end-user prices to accommodate not only tax increases but also corrections of producer prices. The assessment of the distributional impact of tax reforms depends on its type (Non Ramsey vs. Ramsey) and on considering environmental benefits to compensate for negative price effects. A Non-Ramsey tax reform has a positive distributive impact in Uruguay, while large pre-existing price distortions tend to produce negative impacts in Argentina and Bolivia. Overall we recommend non-Ramsey taxes as they are more transparent and easy to implement, avoid inverse-elasticity effects on tax wedges that have nothing to do with environmental costs and have better distributional properties. Moving to multiple instruments is also recommended to integrate other externalities, deal with informality and cope with distributive impacts.

The paper reviews the dynamics of the financing based its analysis on the rich dataset of AidData ranging over 1993-2010, with around 9,077 observations on projects funded in Senegal by various multilateral as well as bilateral donors. The study started i

In this paper the German congestion management regime is analyzed and future congestion management costs are assessed given a higher share of intermittent renewable generation. In this context, cost-based re-dispatching of power plants and technical flexibility through topology optimization are considered as market-based and technical congestion management methods. To replicate the current market regime in Germany a two-step procedure is chosen consisting of a transactional spot market model and a congestion management model. This uniform pricing model is compared to a nodal pricing regime. The results show that currently congestion can mainly be managed by re-dispatching power plants and optimizing the network topology. However, congestion management costs tend to increase significantly in future years if the developments of transmission as well as generation infrastructure diverge. It is concluded that there is a need for improving the current congestion management regime to achieve an efficient longterm development of the German electricity system.

PURPOSE The purpose of this paper is to examine whether the decline in environmental quality in India, China and Brazil is due to release of toxic gases which is an effect of high energy consumption? If so, the increase in energy consumption is due to rapid economic growth led by industrialization? Also examined is what effect does excessive economic growth rates have on energy consumption levels in these countries.

The stark observation of the co-existence of undernourishment, nutrient deficiencies and overweight and obesity, the triple burden of malnutrition, is inviting us to reconsider health and nutrition as the primary goal and final endpoint of food systems. Agriculture and the food industry have made remarkable advances in the past decades. However, their development has not entirely fulfilled health and nutritional needs, and moreover, they have generated substantial collateral losses in agricultural biodiversity. Simultaneously, several regions are experiencing unprecedented weather events caused by climate change and habitat depletion, in turn putting at risk global food and nutrition security. This coincidence of food crises with increasing environmental degradation suggests an urgent need for novel analyses and new paradigms. The sustainable diets concept proposes a research and policy agenda that strives towards a sustainable use of human and natural resources for food and nutrition security, highlighting the preeminent role of consumers in defining sustainable options and the importance of biodiversity in nutrition. Food systems act as complex social–ecological systems, involving multiple interactions between human and natural components. Nutritional patterns and environment structure are interconnected in a mutual dynamic of changes. The systemic nature of these interactions calls for multidimensional approaches and integrated assessment and simulation tools to guide change. This paper proposes a review and conceptual modelling framework that articulate the synergies and tradeoffs between dietary diversity, widely recognised as key for healthy diets, and agricultural biodiversity and associated ecosystem functions, crucial resilience factors to climate and global changes.

Abstract During the last three decades, dependence on foreign trade has increased sharply in Malaysia, causing the Malaysian economy to become increasingly export-oriented. The global financial crisis (GFC) affected Malaysia׳s economic growth tremendously in the fourth quarter of 2008, and policy makers subsequently adopted effective measures to avoid future crises. The government unveiled two stimulus packages; the first—totalling RM7 billion (US$1.9 billion), accounting for 1.04% of the GDP—was launched in November 2008 while the second—totalling RM60 billion (US$16.2 billion), or 9% of the GDP—was launched in March 2009. The objectives of this paper are to (1) discuss the influence of the GFC on Malaysia׳s trade and energy consumption and (2) analyse the effect of the Malaysian government׳s stimulus plans for economic revival using an input–output model. The results indicate that the drop in exports caused by the GFC led to a 13% decrease in GDP and a 16% reduction in energy consumption. The stimulus packages led to 1.83% and 4.64% increases in economic growth and energy consumption, respectively.