Implications of climate change mitigation for sustainable development

Jakob, Michael; Steckel, Jan Christoph

doi:10.1088/1748-9326/11/10/104010

Cited by 53 publications

(33 citation statements)

References 38 publications

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“…Our results highlight the importance of synergies and trade-offs that exist between climate and non-climate sustainability dimensions. Given the inherent requirement for value judgments when it comes to weighing the different dimensions against each other, our results reinforce the call for an as broad as possible public deliberation on the exact mix of policies to take within each country (Jakob and Steckel 2016).…”

Section: Policy Implications and Outlooksupporting

confidence: 69%

Targeted policies can compensate most of the increased sustainability risks in 1.5 °C mitigation scenarios

Bertram

Luderer

Popp

et al. 2018

Environ. Res. Lett.

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Meeting the 1.5 • C goal will require a rapid scale-up of zero-carbon energy supply, fuel switching to electricity, efficiency and demand-reduction in all sectors, and the replenishment of natural carbon sinks. These transformations will have immediate impacts on various of the sustainable development goals. As goals such as affordable and clean energy and zero hunger are more immediate to great parts of global population, these impacts are central for societal acceptability of climate policies. Yet, little is known about how the achievement of other social and environmental sustainability objectives can be directly managed through emission reduction policies. In addition, the integrated assessment literature has so far emphasized a single, global (cost-minimizing) carbon price as the optimal mechanism to achieve emissions reductions. In this paper we introduce a broader suite of policies-including direct sector-level regulation, early mitigation action, and lifestyle changes-into the integrated energy-economy-land-use modeling system REMIND-MAgPIE. We examine their impact on non-climate sustainability issues when mean warming is to be kept well below 2 • C or 1.5 • C. We find that a combination of these policies can alleviate air pollution, water extraction, uranium extraction, food and energy price hikes, and dependence on negative emissions technologies, thus resulting in substantially reduced sustainability risks associated with mitigating climate change. Importantly, we find that these targeted policies can more than compensate for most sustainability risks of increasing climate ambition from 2 • C to 1.5 • C.

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Section: Policy Implications and Outlooksupporting

confidence: 69%

Targeted policies can compensate most of the increased sustainability risks in 1.5 °C mitigation scenarios

Bertram

Luderer

Popp

et al. 2018

Environ. Res. Lett.

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show abstract

“…This implies that a systematic assessment framework of the impacts of climate policies on multiple SDGs is necessary. Studies by von Stechow et al [17], Jakob et al [21] and Iyer et al [22] are examples of assessments of climate policies in multiple sectors closely related to global SDGs.…”

Section: Introductionmentioning

confidence: 99%

Identifying trade-offs and co-benefits of climate policies in China to align policies with SDGs and achieve the 2 °C goal

Liu

Fujimori

Toko

et al. 2019

Environ. Res. Lett.

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The Paris Agreement set long-term global climate goals to pursue stabilization of the global mean temperature increase at below 2°C (the so-called 2°C goal). Individual countries submitted their own short-term targets, mostly for the year 2030. Meanwhile, the UN's sustainable development goals (SDGs) were designed to help set multiple societal goals with respect to socioeconomic development, the environment, and other issues. Climate policies can lead to intended or unintended consequences in various sectors, but these types of side effects rarely have been studied in China, where climate policies will play an important role in global greenhouse gas emissions and sustainable development is a major goal. This study identified the extent to which climate policies in line with the 2°C goal could have multi-sectoral consequences in China. Carbon constraints in China in the 2Deg scenario are set to align with the global 2°C target based on the emissions per capita convergence principle. Carbon policies for NDC pledges as well as policies in China regarding renewables, air pollution control, and land management were also simulated. The results show that energy security and air quality have cobenefits related to climate policies, whereas food security and land resources experienced negative side effects (trade-offs). Near-term climate actions were shown to help reduce these trade-offs in the midterm. A policy package that included food and land subsidies also helped achieve climate targets while avoiding the adverse side effects caused by the mitigation policies. The findings should help policymakers in China develop win-win policies that do not negatively affect some sectors, which could potentially enhance their ability to take climate actions to realize the global 2°C goal within the context of sustainable development.

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“…Nowadays, the water scarcity scenarios (Jakob and Steckel 2016) and the effects of climate change on water resources (Oki and Kanae 2006) drive the development of hydraulic tools able to correctly simulate Water Distribution Networks (WDNs). It can be argued that these are mandatory steps in order to manage and prevent urban water crisis as recently recognized by the European Environmental Agency and underlined by the Water Framework Directive (Conte et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Global Gradient Algorithm Extension to Distributed Pressure Driven Pipe Demand Model

Menapace

Avesani

2019

Water Resour Manage

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It has been proved that the standard representation of water demand in a Water Distribution Network (WDN) leads to pipe head loss errors as well that the fully satisfied demand regardless water pressure assumption is misleading. This follows that different algorithms have been developed in order to overcome these two drawbacks although separately and independently. Consequently, this paper introduces an alternative formulation of the Global Gradient Algorithm (GGA), referred to as UD-PD, which is able to solve uniformly distributed pressure driven demands along the pipes of a WDN in extended period simulations. In addition, this new scheme is tested against reference solutions and its performances are compared with the standard WDN models. Finally, the UD-PD is applied to a real WDN under pressure deficit conditions. Numerical results show that the hydraulic heads computed with the UD-PD result higher than those simulated with standard demand driven models and that the UD-PD is able both to capture the non linear behavior of the hydraulic head along the network and to correctly compute the flow inversion even in pressure driven conditions.

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Implications of climate change mitigation for sustainable development

Cited by 53 publications

References 38 publications

Targeted policies can compensate most of the increased sustainability risks in 1.5 °C mitigation scenarios

Targeted policies can compensate most of the increased sustainability risks in 1.5 °C mitigation scenarios

Identifying trade-offs and co-benefits of climate policies in China to align policies with SDGs and achieve the 2 °C goal

Global Gradient Algorithm Extension to Distributed Pressure Driven Pipe Demand Model

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