County carbon emissions in the Yangtze River Delta region: Spatial layout, dynamic evolution and spatial spillover effects

Abstract

The Yangtze River Delta region contributes nearly 16% of the national carbon emissions and is the key area for carbon emission reduction in China. Accurately grasping the spatial evolution characteristics of carbon emissions and the interaction between counties and regions is of great practical significance for precise and collaborative carbon reduction. This study firstly explores the spatial layout and dynamic evolution characteristics of county carbon emissions in the Yangtze River Delta region from 2000 to 2018 by using spatial statistical analysis, secondly identifies the influencing factors of county carbon emissions (CAR) in the Yangtze River Delta region from dynamic and static dimensions respectively by using static and dynamic Spatial Dubin Model, and finally judges the spatial spillover effects of each factor. We find that county carbon emissions are more complex and more diverse in non-synchronous state compared to provinces and cities. The high carbon areas in the Yangtze River Delta region are concentrated in Shanghai and its neighboring cities, as well as industrial counties under the jurisdiction of other sub-core cities, which are continuously clustered towards the center. We have made some theoretical discussions on the results of the spillover effects of various factors on carbon emissions, and concluded that economic of scale (ECO) and industrial structure (IND) have a “polarization effect”, population size (POP) is consistent with the Malthusian view, technological advance (TEC) has a “cumulative effect”, and environmental quality (ENV) The “pollution paradise effect” is mitigated. Finally, we believe that the main unit of precise carbon reduction can take the form of “city-county” combination, and the government should implement differentiated and coordinated carbon reduction policies.

Analysis of the Spatiotemporal Evolution of Carbon Budget and Carbon Compensation Zoning in the Core Area of the Yangtze River Delta Urban Agglomeration

“…The study found that carbon emissions in the CAYRDUA have slowed down since 2011, which is consistent with previous studies. Wei et al suggested that carbon emissions in the YRDUA were around 1.6 billion tons after 2011 [59], whereas this study indicates that the total carbon emissions in the study area stabilized at around 1.2 billion tons. This difference can be attributed to the different scopes of urban agglomeration.…”

Spatiotemporal differences in and influencing effects of per-capita carbon emissions in China based on population-related factors

“…However, existing work focuses on the division of the study area according to its geographical conditions. For instance, in China, the carbon emission features of the eastern, middle and western regions have been researched 51,52 . Other study regions in terms of carbon emission features include the Yellow River 53 , Yangtze River 52 , Beijing-Tianjin-Hebei region 54 and some provinces 25,55 .…”

Impacts of industrial agglomeration on industrial pollutant emissions: Evidence found in the Lanzhou–Xining urban agglomeration in western China

“…The R 2 and log likelihood parameters of SDM with the spatial fixed effect of industrial agglomeration on industrial SO 2 emissions are the largest, and the R 2 and Log likelihood parameters of SDM with the spatial fixed effect of industrial agglomeration on industrial soot emissions are the largest. Therefore, the SDM with spatial fixed effect is used to estimate the impact of industrial agglomeration on industrial wastewater emissions, industrial SO 2 emissions, and industrial soot emissions (58). According to the estimation results of SDM with fixed spatial effect, the spatial lag coefficients of industrial wastewater emissions, industrial SO 2 emissions, and industrial soot emissions are 0.202, 0.244, and 0.230, respectively, and they are all significantly positive at the 1% level (Table 7).…”