Suchergebnisse

Energy subsidies have been criticized due to their economic inefficiency and promotion of wasteful usage of energy and associated carbon emissions. Conversely, environmental taxes are advocated as efficient policy instruments. Nonetheless, removing subsidies and taxing energy can be politically challenging because vulnerable households rely on low energy prices. This study analyzes the impact of energy price increases on different income quintiles groups in eleven Latin American and Caribbean countries using an energy-extended input-output approach. Our results show that higher-income groups benefit more from low energy prices than low-income groups when tracing both the direct and indirect (supply chain) effects of energy price variations. Energy subsidies are a very expensive option to transfer income to poor households. Across the countries considered, using energy subsidies it would cost about $12 to transfer $1 of income to households in the poorest quintile. Recycling a small fraction of fiscal revenues from energy subsidy removal or energy taxation could be sufficient to compensate vulnerable households from the effects of price hikes. Our findings suggest that cash transfers to poor households and targeted subsidies for public transportation or food are the most effective measures to compensate households for welfare loss.

Energy subsidies have been criticized due to their economic inefficiency and promotion of wasteful usage of energy and associated carbon emissions. Conversely, environmental taxes are advocated as efficient policy instruments. Nonetheless, removing subsidies and taxing energy can be politically challenging because vulnerable households rely on low energy prices. This study analyzes the impact of energy price increases on different income quintiles groups in eleven Latin American and Caribbean countries using an energy-extended input-output approach. Our results show that higher-income groups benefit more from low energy prices than low-income groups when tracing both the direct and indirect (supply chain) effects of energy price variations. Energy subsidies are a very expensive option to transfer income to poor households. Across the countries considered, using energy subsidies it would cost about $12 to transfer $1 of income to households in the poorest quintile. Recycling a small fraction of fiscal revenues from energy subsidy removal or energy taxation could be sufficient to compensate vulnerable households from the effects of price hikes. Our findings suggest that cash transfers to poor households and targeted subsidies for public transportation or food are the most effective measures to compensate households for welfare loss.

The global policy debate on just transitions is concerned with how to achieve a socially just and acceptable transition toward a climate-neutral and climate-resilient global economy. At the core of this debate is the assumption that efforts to combat environmental threats will not succeed unless combined with measures to reduce poverty and inequality. Our research explores the potential of carbon fiscal reforms, combining a carbon tax of levels deemed appropriate to achieve climate targets and the transfer of the revenues raised to vulnerable households. The current energy and cost-of-living crisis shows the importance of protecting the poorest and most vulnerable households from price increases. It also shows the difficulty of achieving short- and long-term policy priorities. Despite the current spikes in energy prices, carbon fiscal reforms can achieve both social and environmental goals through simultaneously decreasing emissions and reducing poverty and inequality. They should act as an effective enabler of just transitions. Carbon fiscal reform can avoid some environmental impacts by incentivising reductions in emissions. Carbon pricing has been increasingly advocated and is now at the centre of policy debates, including the UNFCCC Conference of the Parties (COP) and the recent German presidency of the world's leading industrial nations (G7). But carbon fiscal reforms can also be used to raise revenue from carbon pricing instruments to offset the negative effects of higher prices on poorer households as well as further reaching distributional targets and poverty alleviation. Climate targets are negotiated every year, including at COP, hence it is critical to re-evaluate and improve estimates of the distributional impacts of climate policies such as carbon pricing. Public acceptability of climate policies is key to their implementation, but it depends to a large extent on the perceived fairness of such policies. Recycling revenues from carbon taxes directly back to vulnerable households is likely to gain the approval of a large number of people, especially in low-income countries where the high proportion of the population involved in the informal economy means that lowering income tax does not benefit the poorest and most vulnerable sections of society. But the targeting of these direct transfers needs careful consideration. Here, we assess the impact on poverty and inequality of a global carbon tax and national redistribution of revenues to vulnerable households. We look at different options for such redistribution, including a lump sum payment, the use of current social assistance programmes, and an expansion of social assistance following COVID-19. We find that a carbon tax of US$50/tCO2 without revenue redistribution could increase global extreme poverty, but the redistribution of revenue from such a carbon tax could substantially reduce poverty by between 16% and 27% (110 to 190 million people), and reduce inequality (the average Gini coefficient would decline by between 4% and 8%), depending on the scenario. This shows that the way in which revenue from a carbon tax is redistributed greatly affects its impact, underlining the importance of policy design and targeting mechanisms. The recycling of revenues should also take into account the specific political economy of a country and consider international transfers. These findings provide policy makers with a strong basis for informing discussions, starting off with those at COP27, in which ambitious climate targets and just transition should both remain central goals in the context of the ongoing international energy crisis.

Sustainable water management is one of the sustainable development goals (SDGs) and is characterized by a high level of interdependencies with other SDGs from regional to global scales. Many water assessment studies are restricted to silo thinking, mostly focusing on water-related consequences, while lacking a quantification of trade-offs and synergies of economic, social, and environmental dimensions. To fill this knowledge gap, we propose a "nexus" approach that integrates a water supply constrained multi-regional input-output (mixed MRIO) model, scenario analysis, and multi-criteria decision analysis (MCDA) to quantify the trade-offs and synergies at the sectoral level for the capital region of China, i.e. the Beijing-Tianjin-Hebei urban agglomeration. A total of 120 industrial transition scenarios including nine major industries with high water-intensities and water consumption under current development pathways were developed to facilitate the trade-off and synergy analysis between economic loss, social goals (here, the number of jobs) and environmental protection (with grey water footprint representing water pollution) triggered by water conservation measures. Our simulation results show that an imposition of a tolerable water constraint (a necessary water consumption reduction for regional water stress level to move from severe to moderate) in the region would result in an average economic loss of 68.4 (± 16.0) billion Yuan (1 yuan ≈ 0.158 USD$ in 2012), or 1.3 % of regional GDP, a loss of 1.94 (± 0.18) million jobs (i.e. 3.5 % of the work force) and a reduction of 1.27 (± 0.40) billion m3 or about 2.2% of the regional grey water footprint. A tolerable water rationing in water-intensive sectors such as Agriculture, Food and tobacco processing, Electricity and heating power production and Chemicals would result in the lowest economic and job losses and the largest environmental benefits. Based on MCDA, we selected the 10 best scenarios with regard to their economic, social and environmental performances as references for guiding future water management and suggested industrial transition policies. This integrated approach could be a powerful policy support tool for 1) assessing trade-offs and synergies among multiple criteria and across multiple region-sectors under resource constraints; 2) quantifying the short-term supply-chain effects of different containment measures, and 3) facilitating more insightful evaluation of SDGs at the regional level so as to determine priorities for local governments and practitioners to achieve SDGs. ; Peer reviewed

Over 40% of the earth's land surface are drylands that are home to approximately 2.5 billion people. Livelihood sustainability in drylands is threatened by a complex and interrelated range of social, economic, political, and environmental changes that present significant challenges to researchers, policy makers, and, above all, rural land users. Dynamic ecological and environmental change models suggest that climate change induced drought events may push dryland systems to cross biophysical thresholds, causing a long-term drop in agricultural productivity. Therefore, research is needed to explore how development strategies and other socioeconomic changes help livelihoods become more resilient and robust at a time of growing climatic risk and uncertainty. As a result, the overarching goal of this special feature is to conduct a structured comparison of how livelihood systems in different dryland regions are affected by drought, thereby making methodological, empirical, and theoretical contributions to our understanding of how these types of social-ecological systems may be vulnerable to climate change. In introducing these issues, the purpose of this editorial is to provide an overview of the two main intellectual challenges of this work, namely: (1) how to conceptualize vulnerability to climate change in coupled social-ecological systems; and (2) the methodological challenges of anticipating trends in vulnerability in dynamic environments.

Abstract
Understanding the impact of climate fiscal policies on vulnerable groups is a prerequisite for equitable climate mitigation. However, there has been a lack of attention to the impacts of such policies on the elderly, especially the low-income elderly, in existing climate policy literature. Here, we quantify and compare the distributional impacts of carbon pricing on different age–income groups in the United States, the United Kingdom, and Japan and then on different age groups in other 28 developed countries. We find that the elderly are more vulnerable to carbon pricing than younger groups in the same income group. In particular, the low-income elderly and elderly in less wealthy countries face greater challenges because carbon pricing lead to both higher rate of increase in living cost among low-income elderly and greater income inequality within the same age group. In addition, the low-income elderly would benefit less than the younger groups within the same income group in the commonly proposed carbon revenues recycling schemes. The high vulnerability of the low-income elderly to carbon pricing calls for targeted social protection along with climate mitigation polices toward an aging world.

It is well-recognised that to achieve long-term sustainable and resilient land management we need to understand the coupled dynamics of social and ecological systems. Land use change scenarios will often aim to understand (i) the behaviours of land management, influenced by direct and indirect drivers, (ii) the resulting changes in land use and (iii) the environmental implications of these changes. While the literature in this field is extensive, approaches to parameterise coupled systems through integration of empirical social science based models and ecology based models still need further development. We propose an approach to land use dynamics modelling based on the integration of behavioural models derived from choice experiments and spatially explicit systems dynamics modelling. This involves the specification of a choice model to parameterise land use behaviour and the integration with a spatial habitat succession model. We test this approach in an upland socio-ecological system in the United Kingdom. We conduct a choice experiment with land managers in the Peak District National Park. The elicited preferences form the basis for a behavioural model, which is integrated with a habitat succession model to predict the landscape level vegetation impacts. The integrated model allows us to create projections of how land use may change in the future under different environmental and policy scenarios, and the impact this may have on landscape vegetation patterns. We illustrate this by showing future projection of landscape changes related to hypothetical changes to EU level agricultural management incentives. The advantages of this approach are (i) the approach takes into account potential environmental and management feedbacks, an aspect often ignored in choice modelling, (ii) the behavioural rules are revealed from actual and hypothetical choice data, which allow the research to test the empirical evidence for various determinants of choice, (iii) the behavioural choice models generate probabilities of ...

Abstract
Hydrogen is gaining tremendous traction in China as the fuel of the future to support the country's carbon neutrality ambition. Despite that hydrogen as fuel largely hinges on the supply of platinum (Pt), the dynamic interlinkage between Pt supply challenges, hydrogen development pathways, and climate targets in China has yet to be deeply analyzed. Here, we adopt an integrated assessment model to address this important concern and corresponding strategies for China. The results indicate that the booming hydrogen development would drive China's cumulative demand for Pt metal to reach 4,200–5,000 tons. Much of this demand, met through a limited supply pattern, is vulnerable to price volatility and heightened geopolitical risks, which can be mitigated through circular economy strategies. Consequently, a coordinated approach to leverage both global sustainable Pt sourcing and a robust domestic Pt circular economy is imperative for ensuring cost-effective hydrogen production, aligned with a climate-safe future.