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      Spatiotemporal regularity and spillover effects of carbon emission intensity in China's Bohai Economic Rim.

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          Abstract

          The Bohai Economic Rim (BER) is a momentous economic growth district with rapid development in northern China, but the environmental problems there have also become prominent. In 2017 the BER's carbon emission intensity outclassed the national average, the emission reduction situation was also grim. For clarifying the influence mechanism of the economy on carbon emission intensity, this paper explores the spatiotemporal regularity, the spatial correlation, and the spillover effect in carbon emission intensity employing the Moran index and the spatial Durbin model. The results indicate that the carbon emission intensity in the BER decreased year-by-year from 2006 to 2017. Shanxi and Inner Mongolia were emission hot spots, whereas Beijing and Tianjin were emission cold spots. And the Moran's I values all passed the significance test, which verified the spatial correlation of the carbon emission intensity in the BER is significant. Urbanization, energy intensity, population density, and industry structure have a biggish impact on such spatial distribution of the carbon emission intensity. The direct effect coefficient of the energy intensity is the highest, and the spillover effect of the industry structure is the most significant. Finally, this paper puts forward suggestions on the formulation of regional coordinated carbon reduction programs in the BER.

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          Author and article information

          Journal
          Sci Total Environ
          The Science of the total environment
          Elsevier BV
          1879-1026
          0048-9697
          Oct 20 2020
          : 740
          Affiliations
          [1 ] School of Management, China University of Mining &Technology (Beijing), Beijing 100083, China; Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources, Sanhe City, Hebei Province 065201, China. Electronic address: songmei6361@cumtb.edu.cn.
          [2 ] School of Management, China University of Mining &Technology (Beijing), Beijing 100083, China.
          Article
          S0048-9697(20)33705-0
          10.1016/j.scitotenv.2020.140184
          32927552
          637d1f3c-6b47-40c4-b073-921b909031ff
          Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
          History

          Energy intensity,Population density,Spatial Durbin model,Spatial dependence test,Urbanization

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