Economic and policy uncertainty in climate change mitigation: The London Smart City case scenario

Gabriela Contreras and Federico Platania

Technological Forecasting and Social Change, 2019, vol. 142, issue C, 384-393

Abstract: Despite the overwhelming consensus within the scientific community concerning the causes and effects of climate change, decision-making processes often do not point out in the same direction. In order to effectively and satisfactorily tackle climate change, a legally and politically binding long-term policy architecture is needed. In practice, however, central governments and international policymakers have been unable to provide a successful policy architecture. Yet, city-level initiatives within the Smart City framework are a promising way to tackle climate change. An example of such a Smart City framework is the London Environment Strategy (LES). In this paper, we propose a zero mean reverting model for greenhouse gas emissions to quantitatively analyze its consistency with the 2050 Zero Carbon objectives. We consider different policy scenarios proposed in the LES and the forward-looking policy uncertainty embedded in different economic sectors, primarily domestic, industrial and commercial and transport. We find that, on average, only transport improves the historical greenhouse gas emissions trend, and most of this reduction comes from Smart Mobility and/or Smart Regulation programs focusing on the environment.

Keywords: Smart City; Inter-temporal discounting; Policy uncertainty; Climate change; Greenhouse gas; Mean reverting (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:142:y:2019:i:c:p:384-393

DOI: 10.1016/j.techfore.2018.07.018

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