uri,href,identifier,attrs.Abstract,attrs.Author,attrs.DOI,attrs.Date,attrs.ISSN,attrs.Issue,attrs.Journal,attrs.Pages,attrs.Title,"attrs.Type of Article",attrs.Volume,attrs.Year,attrs._record_number,attrs._uuid,attrs.reftype,child_publication
/reference/f84b3b33-9af1-49c1-88b0-c509411fdd60,https://data.globalchange.gov/reference/f84b3b33-9af1-49c1-88b0-c509411fdd60,f84b3b33-9af1-49c1-88b0-c509411fdd60,"Urban areas account for the majority of global greenhouse gas emissions, and increasingly, it is city governments that are adopting and implementing climate mitigation policies. Many municipal governments have joined two different global city networks that aim to promote climate policy development at the urban scale, and there is qualitative evidence that such networks play an important role in motivating cities to adopt climate policies and helping them to implement them. Our study objective is to test this proposition quantitatively, making use of a global database on cities’ environmental policy adoption, and also taking into account a large number of other factors that could play a role in climate policy adoption. Controlling for these other factors, we find that network membership does make a significant difference in the number of different measures that city governments adopt. We also find that there are significant differences between the two different networks, suggesting that the nature of the services that such networks offer their members can play an important role. Our findings lead to the provision of a set of global mitigation strategies: First of all, joining the city networks can lead to a generation of global strategies which can result into climate mitigation benefits. However, cities are required to select the network which provides proper tailor made policies. Second, in the absence of concrete international commitments at the local level, city networks lay the ground for global governance and enable cities to adopt policies independently and proactively. Third, consideration of co-benefits of climate policies can optimize the development of global strategies.","Rashidi, Kaveh; Patt, Anthony",10.1007/s11027-017-9747-y,"April 01",1573-1596,4,"Mitigation and Adaptation Strategies for Global Change",507-523,"Subsistence over symbolism: The role of transnational municipal networks on cities’ climate policy innovation and adoption","journal article",23,2018,25624,f84b3b33-9af1-49c1-88b0-c509411fdd60,"Journal Article",/article/10.1007/s11027-017-9747-y
/reference/f9f08a1a-4e9f-462f-a96e-3342cc6b7813,https://data.globalchange.gov/reference/f9f08a1a-4e9f-462f-a96e-3342cc6b7813,f9f08a1a-4e9f-462f-a96e-3342cc6b7813,,"DOE,",,,,,,189,"Climate Change and the U.S. Energy Sector: Regional Vulnerabilities and Resilience Solutions ",,,2015,21345,f9f08a1a-4e9f-462f-a96e-3342cc6b7813,Report,/report/climate-change-us-energy-sector-regional-vulnerabilities-resilience-solutions
/reference/fad9e8ec-8951-4daa-9a9c-e093ef86af16,https://data.globalchange.gov/reference/fad9e8ec-8951-4daa-9a9c-e093ef86af16,fad9e8ec-8951-4daa-9a9c-e093ef86af16,"Episodes of severe weather in the United States, such as the present abundance of rainfall in California, are brandished as tangible evidence of the future costs of current climate trends. Hsiang et al. collected national data documenting the responses in six economic sectors to short-term weather fluctuations. These data were integrated with probabilistic distributions from a set of global climate models and used to estimate future costs during the remainder of this century across a range of scenarios (see the Perspective by Pizer). In terms of overall effects on gross domestic product, the authors predict negative impacts in the southern United States and positive impacts in some parts of the Pacific Northwest and New England.Science, this issue p. 1362; see also p. 1330Estimates of climate change damage are central to the design of climate policies. Here, we develop a flexible architecture for computing damages that integrates climate science, econometric analyses, and process models. We use this approach to construct spatially explicit, probabilistic, and empirically derived estimates of economic damage in the United States from climate change. The combined value of market and nonmarket damage across analyzed sectors—agriculture, crime, coastal storms, energy, human mortality, and labor—increases quadratically in global mean temperature, costing roughly 1.2% of gross domestic product per +1°C on average. Importantly, risk is distributed unequally across locations, generating a large transfer of value northward and westward that increases economic inequality. By the late 21st century, the poorest third of counties are projected to experience damages between 2 and 20% of county income (90% chance) under business-as-usual emissions (Representative Concentration Pathway 8.5).","Hsiang, Solomon; Kopp, Robert; Jina, Amir; Rising, James; Delgado, Michael; Mohan, Shashank; Rasmussen, D. J.; Muir-Wood, Robert; Wilson, Paul; Oppenheimer, Michael; Larsen, Kate; Houser, Trevor",10.1126/science.aal4369,,,6345,Science,1362-1369,"Estimating economic damage from climate change in the United States",,356,2017,23965,fad9e8ec-8951-4daa-9a9c-e093ef86af16,"Journal Article",/article/10.1126/science.aal4369
/reference/faddfbf9-dbd6-45d5-a3f8-1ee63ccaa29d,https://data.globalchange.gov/reference/faddfbf9-dbd6-45d5-a3f8-1ee63ccaa29d,faddfbf9-dbd6-45d5-a3f8-1ee63ccaa29d,,"Bulkeley, Harriet; Tuts, Rafael",10.1080/13549839.2013.788479,2013/07/01,1354-9839,6,"Local Environment",646-662,"Understanding urban vulnerability, adaptation and resilience in the context of climate change",,18,2013,23132,faddfbf9-dbd6-45d5-a3f8-1ee63ccaa29d,"Journal Article",/article/10.1080/13549839.2013.788479
/reference/fbfe4df4-0209-4593-9fe6-dd45f1a1abb1,https://data.globalchange.gov/reference/fbfe4df4-0209-4593-9fe6-dd45f1a1abb1,fbfe4df4-0209-4593-9fe6-dd45f1a1abb1,,,,,,,,,"Water Policy and Planning in a Variable and Changing Climate: Insights from the Western United States",,,2016,23165,fbfe4df4-0209-4593-9fe6-dd45f1a1abb1,"Edited Book",/book/water-policy-planning-variable-changing-climate-insights-western-united-states
/reference/fcf17106-90c2-445b-8029-624f53f70f3f,https://data.globalchange.gov/reference/fcf17106-90c2-445b-8029-624f53f70f3f,fcf17106-90c2-445b-8029-624f53f70f3f,,"Costa, Hélia; Graham Floater; Hans Hooyberghs; Stijn Verbeke; De Ridder, Koen",,,,,,15,"Climate change, heat stress and labour productivity: A cost methodology for city economies",,,2016,25631,fcf17106-90c2-445b-8029-624f53f70f3f,Report,/report/climate-change-heat-stress-labour-productivity-cost-methodology-city-economies
/reference/fe4e06c1-b8d0-44fc-8892-44c20b60ab6a,https://data.globalchange.gov/reference/fe4e06c1-b8d0-44fc-8892-44c20b60ab6a,fe4e06c1-b8d0-44fc-8892-44c20b60ab6a,,"Adger, W.N.
Dessai, S.
Goulden, M.
Hulme, M.
Lorenzoni, I.
Nelson, D.R.
Naess, L.O.
Wolf, J.
Wreford, A.",10.1007/s10584-008-9520-z,,0165-0009,3-4,"Climatic Change",335-354,"Are there social limits to adaptation to climate change?",,93,2009,106,fe4e06c1-b8d0-44fc-8892-44c20b60ab6a,"Journal Article",/article/10.1007/s10584-008-9520-z
/reference/ff1fea07-c899-4e5f-aff2-76510d06c57b,https://data.globalchange.gov/reference/ff1fea07-c899-4e5f-aff2-76510d06c57b,ff1fea07-c899-4e5f-aff2-76510d06c57b,,"Elmqvist, Thomas; Fragkias, Michail; Goodness, Julie; Güneralp, Burak; Marcotullio, Peter J.; McDonald, Robert I.; Parnell, Susan; Schewenius, Maria; Sendstad, Marte; Seto, Karen C.; Wilkinson, Cathy",10.1007/978-94-007-7088-1,,,,,,"Urbanization, Biodiversity and Ecosystem Services: Challenges and Opportunities, A Global Assessment",,,2013,23158,ff1fea07-c899-4e5f-aff2-76510d06c57b,Book,/book/urbanization-biodiversity-ecosystem-services-challenges-opportunities-global-assessment