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Computable General Equilibrium (CGE) models have proven to be instrumental in the climate policy literature. Although their use at the sub-national level has increased, their application to assess the implications of national climate policies on cities is scarce due to the low availability of city-level economic and environmental data. Cities could play an instrumental role in the fight against climate change as they are home to more than half of the world population, generate more than 80% of global Gross Domestic Product (GDP) and are responsible for 75% of global greenhouse gas (GHG) emissions. National CGE assessments of climate policies overlooking cities could result in missing major opportunities to achieve ambitious reduction targets considering that cities are centres of innovation and wealth. Hence, the objective of this study is to fill that gap in the literature by developing and using a recursive dynamic, multi-regional CGE model to link a city's economy to the rest of the nation to assess the direct and indirect economic impacts from national GHG emissions reduction pathways. The city of Auckland, New Zealand (NZ) has been used as a case study due to the city's proactive climate mitigation plans. The model and scenarios used resemble the ones developed by the New Zealand Climate Change Commission (CCC) to inform national policy advise provided to the government. Additional scenarios were developed to incorporate Auckland's growth and climate strategies. The results showed that in contrast to the rest of New Zealand, the impacts on the Auckland economy are more pronounced as reflected by the more drastic percent changes (with respect to baseline) of the regional GDP (−6% for Auckland and −1% for NZ) and consumer welfare (−5% for Auckland and 1% for NZ). The more pronounced impacts on Auckland are due to the difference in profile emissions (e.g., urban versus rural sectors), fewer low-emission technological alternatives (e.g., rural technologies do not cater to urban sectors' needs), and indirect impacts from importing agricultural products with a higher price tag due to rising GHG prices. This study's contribution in the climate policy literature is to serve as evidence and precedent to carefully evaluate the nuances encountered in complex urban systems when developing national climate policies considering that the number of countries establishing legally binding reduction targets is continually increasing. [Display omitted] • CGE model used to assess climate policy implications on case of Auckland, New Zealand. • Study based on national assessment of pathways by the country's Climate Commission. • Impact on city's economy is higher than nation's due to differing emissions profiles. • National low-emission technological alternatives do not cater to urban sectors' needs. • Study is precedent to integrate urban systems' nuances in national climate policies. [ABSTRACT FROM AUTHOR]

As the world moves towards a carbon-free future, cities have been identified as key hubs for change. They have the greatest ability to quickly develop more efficient systems and implement climate change mitigation policies. Moreover, cities will become the destination of a population migration as humanity grows globally to a population of 11 billion. In this case study, we show that the applicability of the Ecological Footprint, an overarching outcome measure of resource consumption, for targeting climate change mitigation in cities. We focus on the carbon Footprint subcomponent of the Ecological Footprint, and further translate and disaggregate the carbon Footprint into detailed classification of individual consumption according to purpose (COICOP) and analyze the Footprint of consumption associated with each of these categories for 15 Canadian cities according to census metropolitan area (CMA), from each province. The Ecological Footprint of CMAs was calculated from the consumption land use matrix (CLUM) of Canada, by scaling results according to the annual national survey of household spending from 2010 to 2015. The expenditure in electricity was also scaled with the carbon intensity factor. Our findings indicate that the carbon Footprint remains the largest contributor of the Ecological Footprint of CMAs. The carbon Footprint associated with housing varied significantly with the source of electricity production. CMAs relying on renewable energy sources have a substantially lower carbon Footprint than those relying on fossil fuel energy. The carbon Footprint associated with the operation of personal transportation was the second largest among all consumption categories. Financial services is the largest share of the carbon Footprint from service consumption. Clothing consumption caused most of the goods’ carbon Footprint. A better understanding of urban planning of Canadian CMAs and promoting local consumption will improve carbon mitigation and long-term sustainability. [ABSTRACT FROM AUTHOR]