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      Coupling and coordination analysis in urban agglomerations of China: Urbanization and ecological security perspectives

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      Journal of Cleaner Production
      Elsevier BV

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          The effect of urbanization on environmental pollution in rapidly developing urban agglomerations

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            Is Open Access

            County-level CO 2 emissions and sequestration in China during 1997–2017

            With the implementation of China’s top-down CO2 emissions reduction strategy, the regional differences should be considered. As the most basic governmental unit in China, counties could better capture the regional heterogeneity than provinces and prefecture-level city, and county-level CO2 emissions could be used for the development of strategic policies tailored to local conditions. However, most of the previous accounts of CO2 emissions in China have only focused on the national, provincial, or city levels, owing to limited methods and smaller-scale data. In this study, a particle swarm optimization-back propagation (PSO-BP) algorithm was employed to unify the scale of DMSP/OLS and NPP/VIIRS satellite imagery and estimate the CO2 emissions in 2,735 Chinese counties during 1997–2017. Moreover, as vegetation has a significant ability to sequester and reduce CO2 emissions, we calculated the county-level carbon sequestration value of terrestrial vegetation. The results presented here can contribute to existing data gaps and enable the development of strategies to reduce CO2 emissions in China.
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              Effect of urbanization and international trade on CO2 emissions across 65 Belt and Road Initiative Countries

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                Author and article information

                Journal
                Journal of Cleaner Production
                Journal of Cleaner Production
                Elsevier BV
                09596526
                September 2022
                September 2022
                : 365
                : 132730
                Article
                10.1016/j.jclepro.2022.132730
                05af5acf-4dde-4166-9471-e7e9d0291a61
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

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