Better data for assessing local climate policies

Minx, Jan C.

doi:10.1088/1748-9326/aa6e03

Cited by 3 publications

(5 citation statements)

References 7 publications

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“…Urban lifestyles have different emission patterns from rural ones (Minx, 2017), particularly in aviation-use (Heinonen et al, 2011;Ottelin et al, 2014) Large disparities in household consumption-based emission (Lin et al, 2013;Wiedenhofer et al, 2017) Hybridization of multi-region input-out tables (MRIO) with spatially gridded population data and GDP data allows crude gridded estimates of consumption-based footprints (Moran et al, 2018) Low…”

Section: Consumption-based Emissionsmentioning

confidence: 99%

“…But even as first case studies are emerging (Ottelin et al , 2018), little is known about the impact these measures have had on reducing emissions (Seto et al , 2014; Minx, 2017). This lack of knowledge is currently a direct barrier to learning about the effects and efficacy of local climate solutions.…”

Section: Current State Of Data-based Efforts At the Urban-climate-chamentioning

confidence: 99%

“…The importance of such a systemic assessment of all direct and indirect flows increases as the size of the unit of observation decreases. Smaller spatial units such as cities are less self-sufficient and are more dependent on trade and material flows arising outside the city boundaries in the supply chain of traded products used within city limits (Minx, 2017). Urban density and the spatial configuration of activities shape the urban metabolism.…”

Section: Accounting For Urban Ghg Emissionsmentioning

confidence: 99%

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Upscaling urban data science for global climate solutions

Lohrey²,

et al. 2019

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Non-technical summaryManhattan, Berlin and New Delhi all need to take action to adapt to climate change and to reduce greenhouse gas emissions. While case studies on these cities provide valuable insights, comparability and scalability remain sidelined. It is therefore timely to review the state-of-the-art in data infrastructures, including earth observations, social media data, and how they could be better integrated to advance climate change science in cities and urban areas. We present three routes for expanding knowledge on global urban areas: mainstreaming data collections, amplifying the use of big data and taking further advantage of computational methods to analyse qualitative data to gain new insights. These data-based approaches have the potential to upscale urban climate solutions and effect change at the global scale.

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Section: Consumption-based Emissionsmentioning

confidence: 99%

Section: Current State Of Data-based Efforts At the Urban-climate-chamentioning

confidence: 99%

Section: Accounting For Urban Ghg Emissionsmentioning

confidence: 99%

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Upscaling urban data science for global climate solutions

Lohrey²,

et al. 2019

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“…Additionally, current scholarship on corporate CG involvement and leadership lacks empirical evidence regarding its effect on CG outcomes (Hsueh 2020). The lack of evidence arises, at least partially, from the complex, multifaceted, and context-dependent nature of CG arrangements (Newig and Fritsch 2009, Ostrom 2009a, Minx 2017, Hsueh 2019. Research on implementation outcomes is also complicated by the broad purview that performance assessment entails Fritsch 2009, Hsu andZomer 2014).…”

Section: Introductionmentioning

confidence: 99%

Non-state climate governance, corporate leadership, and governance performance: evidence from the US electric utility sector

2022

Environ. Res. Lett.

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COP26 highlighted near-term emissions reductions in addition to longer-term net-zero. At the same time, shifts in political landscapes around the world have furthered the salience of climate action led by non-state actors such as business interests, civil society and nonprofits, and local and regional communities. Despite the promise, performance of non-state climate action remains unclear and requires further empirical validation. The current study focuses on corporate entities and explores the potential effect of corporate leadership on climate governance performance. Our aim is to advance the literature on non-state climate governance by offering empirical evidence of the less-studied effectiveness of non-state climate governance leadership. Echoing previous research, our study identifies a contingent perspective on the effect of corporate leadership on climate governance performance. Specifically, through the context of utilities’ energy efficiency programming in the U.S. and a multilevel research design, we find suggestive evidence that when the moderating effect of citizens’ support is considered, corporate leadership could potentially positively affect climate governance performance. Additionally, we demonstrate that a climate governance system’s operational uncertainty can complicate the effect of corporate leadership on performance whereas a pro-environmental citizenry can enhance such effect.

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“…Finally, we note that combining the use of biomass as energy source with CCS chains would allow obtaining hydrogen with net-negative CO 2 emissions [42][43][44]. Such a route is referred to as BECCS (bio-energy with carbon capture and storage) and will most likely be key in the second half of the century to compensate for an overshoot in global temperatures and to cope with unavoidable positive emissions, for example, from aviation and shipping and from agriculture [1,43]. However, this goes beyond the scope of this paper, where biomass and CCS are considered separately.…”

Section: Introductionmentioning

confidence: 99%