Search

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]

The Paris Agreement aims to limit global mean temperature rise this century to well below 2 °C above pre-industrial levels. This target has wide-ranging implications for Europe and its cities, which are the source of substantial greenhouse gas emissions. This paper reports the state of local planning for climate change by collecting and analysing information about local climate mitigation and adaptation plans across 885 urban areas of the EU-28. A typology and framework for analysis was developed that classifies local climate plans in terms of their alignment with spatial (local, national and international) and other climate related policies. Out of eight types of local climate plans identified in total we document three types of stand-alone local climate plans classified as type A1 (autonomously produced plans), A2 (plans produced to comply with national regulations) or A3 (plans developed for international climate networks). There is wide variation among countries in the prevalence of local climate plans, with generally more plans developed by central and northern European cities. Approximately 66% of EU cities have a type A1, A2, or A3 mitigation plan, 26% an adaptation plan, and 17% a joint adaptation and mitigation plan, while about 33% lack any form of stand-alone local climate plan (i.e. what we classify as A1, A2, A3 plans). Mitigation plans are more numerous than adaptation plans, but planning for mitigation does not always precede planning for adaptation. Our analysis reveals that city size, national legislation, and international networks can influence the development of local climate plans. We found that size does matter as about 80% of the cities with above 500,000 inhabitants have a comprehensive and stand-alone mitigation and/or an adaptation plan (A1). Cities in four countries with national climate legislation (A2), i.e. Denmark, France, Slovakia and the United Kingdom, are nearly twice as likely to produce local mitigation plans, and five times more likely to produce local adaptation plans, compared to cities in countries without such legislation. A1 and A2 mitigation plans are particularly numerous in Denmark, Poland, Germany, and Finland; while A1 and A2 adaptation plans are prevalent in Denmark, Finland, UK and France. The integration of adaptation and mitigation is country-specific and can mainly be observed in two countries where local climate plans are compulsory, i.e. France and the UK. Finally, local climate plans produced for international climate networks (A3) are mostly found in the many countries where autonomous (type A1) plans are less common. This is the most comprehensive analysis of local climate planning to date. The findings are of international importance as they will inform and support decision-making towards climate planning and policy development at national, EU and global level being based on the most comprehensive and up-to-date knowledge of local climate planning available to date. [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]

Around the world, cities are creating local climate change mitigation strategies and combining strengths in international efforts. In addition to making the strategies, it is important to follow, how they work in practice. The aim of the study is to examine, how climate change mitigation policies and other events affected the consumption-based household carbon footprints in the Helsinki Metropolitan Area (HMA) from 2006 until 2012. The cities of the HMA launched an ambitious climate change mitigation strategy in 2007. Furthermore, the study analyses the changes in the carbon footprints of six different types of urban zone within the HMA: the central pedestrian zone, the fringe of the central pedestrian zone, intensive public transport zone, public transport zone, car zone and the pedestrian zones of subcentres. The results of the study reveal that the average carbon footprint decreased 7% from 2006 to 2012, despite 1% increase in expenditure, which is encouraging. Emissions caused by housing energy consumption and motor fuel consumption decreased the most. Among the urban zones, public transport zone and car zone, which are the two outermost zones of the HMA, had the strongest emission reductions. Cleaner electricity and the improved energy efficiency of buildings had a strong effect. The regression analysis of the study suggests that the central pedestrian zone and the car zone, the two most affluent zones of the HMA, have higher carbon footprints than all the other zones have between them. However, this is only true when income is controlled, not when expenditure is controlled. The economic crisis in 2008, and changes in consumption behaviour because of it, seem to explain the result. The reduction of the average carbon footprint in the HMA was not only due to steered mitigation actions. Increased housing costs seem to have contributed to the decline of consumption-based emissions. The results of the study suggest that to achieve the ambitious international, national and local climate change mitigation targets, stronger measures are needed. [ABSTRACT FROM AUTHOR]

Abstract: This study examines the factors that explain cross-sectional variations in per capita emissions of one of the primary greenhouse gases (GHGs), carbon dioxide (CO2), in major Asian cities. Why do individuals in Bangkok, Thailand, produce an average of 6.1 tons of carbon dioxide annually, but individuals in Shanghai emit 9.7 tons of CO2? Why do CO2 emissions per capita vary across twenty-two major Asian cities? To what extent are relevant environmental indicators associated with CO2 emissions? To answer these questions, we begin by reviewing the climate co-benefits of existing environmental indicators (waste, green space, water, public transport and energy use) and climate change. Based on a literature review, we hypothesize that cities with higher resource use and wealth will have higher CO2 per capita emissions. To test the hypotheses, we analyze the relationship between tentative co-benefits of existing environmental indicators and CO2 emissions per capita using regression analysis. We find that a city's energy inefficiency, waste generation per capita, and GDP per capita are positively associated with CO2 emissions per capita, while we control for a battery of variables such as population and industrial structure. Our findings suggest that enhancing energy efficiency and reducing waste generation are effective ways to mitigate climate change while also realizing climate co-benefits. [Copyright &y& Elsevier]