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A well-developed economy and low-carbon emission intensity are important characteristics of low-carbon cities; they also represent important tasks for achieving global climate change mitigation goals. It is seldom discussed, however, how we should identify frontrunner cities from which low-carbon development experiences can be gleaned and then implemented in neighboring cities. This study, therefore, proposed a simple indicator-the "good neighbor index"-to identify frontrunner cities in low-carbon transformation based on economic and emission performance. Based on this indicator, we identified "good neighbors" in static and dynamic views for China. The results showed that the static good neighbors in 2015 were mostly large cities with higher incomes and better industrial structures whereas the dynamic neighbors achieved better economic growth and emission reductions from 2005 to 2015, though their economic and emissions statuses were generally worse. The good neighbor list is not consistent with the list of national low-carbon pilot cities, which has largely overlooked the experiences of some fast-growing cities. These results have policy implications for the Chinese government in terms of promoting the low-carbon transformation of cities. The study can also provide a reference for other countries in addressing climate change at the city level.
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http://dx.doi.org/10.1016/j.jenvman.2020.110804 | DOI Listing |
J Gerontol B Psychol Sci Soc Sci
February 2025
Max Planck Institute for Demographic Research, Rostock, Germany.
Objectives: Affecting 1 in 5 adults in Europe, hearing loss (HL) is linked to adverse health outcomes, including dementia. We aim to investigate educational inequalities in hearing health in Europe and how these inequalities change with age, gender, and region.
Methods: Utilizing 2004-2020 data from the Harmonized Survey of Health, Ageing, and Retirement in Europe (SHARE), a representative sample of Europeans aged 50 and older, we analyze: (1) age-standardized prevalence of HL and hearing aid (HA) use among eligible individuals and (2) educational inequalities therein using the Relative Index of Inequality across age, gender, and European regions.
NPJ Urban Sustain
April 2023
University of Strathclyde, Department of Civil and Environmental Engineering, James Weir Building, Level 5, 75 Montrose Street, Glasgow, G1 1XJ Scotland UK.
The implementation of the Sustainable Development Goals (SDGs) relies on effective policy integration at all levels of government. However, integration across policy domains remains challenging for local authorities, particularly when it comes to articulating policies that recognise trade-offs and interactions between different SDGs. This study explores how the Voluntary Local Review (VLR) process-a tool to localise the 2030 Agenda-contributes to policy integration by thematically analysing interviews with city officials in 12 frontrunner cities that conducted a VLR between 2019 and 2020.
View Article and Find Full Text PDFSensors (Basel)
April 2022
Research and Development Center for Physical Education, Health, and Information Technology, Department of Library and Information Science, Fu Jen Catholic University, New Taipei City 24205, Taiwan.
The rapid growth in the number of vehicles has led to traffic congestion, pollution, and delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation, moving the universe towards automated processes and intelligent management systems. This is a critical contribution to automation and smart civilizations.
View Article and Find Full Text PDFIntegr Environ Assess Manag
November 2022
School of Resource and Environmental Sciences, Wuhan University, Wuhan, China.
Under the current rapid urbanization and industrialization in China, competition for production, living, and ecological spaces is becoming fierce. Improving production-living-ecological spaces (PLESs) has become a core issue in China's land-space development strategy. In this study, the multiple linear logistic regression (MLLR)-multicriteria evaluation (MCE)-cellular automata (CA)-Markov hybrid model was used to predict the land-use pattern for 2030, and the spatial conflict model was established based on landscape indices to measure the evolution characteristics of spatial conflicts.
View Article and Find Full Text PDFJ Environ Manage
September 2020
School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430079, China.
A well-developed economy and low-carbon emission intensity are important characteristics of low-carbon cities; they also represent important tasks for achieving global climate change mitigation goals. It is seldom discussed, however, how we should identify frontrunner cities from which low-carbon development experiences can be gleaned and then implemented in neighboring cities. This study, therefore, proposed a simple indicator-the "good neighbor index"-to identify frontrunner cities in low-carbon transformation based on economic and emission performance.
View Article and Find Full Text PDF