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.
School of Management, China University of Mining &Technology (Beijing), Beijing 100083, China.
Sci Total Environ. 2020 Oct 20;740:140184. doi: 10.1016/j.scitotenv.2020.140184. Epub 2020 Jun 13.
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.
环渤海经济圈(BER)是中国北方快速发展的重要经济增长区,但该地区的环境问题也日益突出。2017 年,BER 的碳排放强度超过了全国平均水平,减排形势严峻。为了厘清经济对碳排放强度的影响机制,本文运用 Moran 指数和空间杜宾模型,探讨了 BER 碳排放强度的时空规律、空间相关性和溢出效应。结果表明,2006 年至 2017 年,BER 的碳排放强度逐年下降。山西和内蒙古是碳排放热点地区,而北京和天津则是碳排放冷点地区。而且 Moran's I 值均通过了显著性检验,验证了 BER 碳排放强度的空间相关性显著。城市化、能源强度、人口密度和产业结构对这种碳排放强度的空间分布有较大影响。能源强度的直接效应系数最高,产业结构的溢出效应最为显著。最后,本文就 BER 区域协调减排方案的制定提出了建议。