Yu Keyao, Li Zhigang
College of Management Science, Chengdu University of Technology, 1 East Third Road, Erxian Bridge, Chenghua District, Chengdu, 610059, Sichuan, P.R. China.
Protection Policy Research Center of Key Ecological Functional Areas in the Upper Reaches of the Yangtze River, Sichuan Provincial Key Research Base of Humanities and Social Sciences, Chengdu, 610059, Sichuan, P.R. China.
Sci Rep. 2024 Nov 12;14(1):27690. doi: 10.1038/s41598-024-78099-7.
Carbon emission and sustainable development have attracted global attention. Promoting urban green innovation (UGI) in the Yellow River Basin (YRB) will help in lowering the intensity of carbon emissions and improve the safety and sustainability. A SBM-DEA model was constructed to measure carbon emission efficiency (CEE) and the degree of coupling and coordination with UGI was calculated in 73 prefecture-level cities in the YRB. The spatial association network of CEE coupled with UGI is constructed by using a modified gravity model, social network analysis and the quadratic assignment procedure (QAP), to analyze spatial potential energy, network characteristics and clustering characteristics. The study found that: (1) The coupling coordination degree of CEE and UGI in the YRB shows fluctuating growth, mutual promotion and continuous coordinated development. (2) The spatial linkage between CEE and UGI is gradually close, and the potential energy of the spatial linkage increases year by year, with obvious spatial spillover effect, indicating that the radiation and influence between cities are gradually increasing. In contrast to the middle stream, the upstream and downstream regions show a higher percentage of spatial potential energy in the entire network, and their network structure is more intricate and robust. (3) The clustering patterns of the three major urban clusters are examined using the block model, exploring the positioning and functions of various cities in these urban conglomerations, which includes the net spillover, net benefit, two-way spillover and broker plate, so as to strengthen the connection and coordinated development between cities. (4) Factors such as spatial adjacency, industrial structure, population density, digital economy and urbanization level, and energy intensity significantly impact the spatial association network, along with temporal and regional heterogeneity. Therefore, tailored policies are needed in the YRB to strengthen collaboration between CEE and UGI, fostering the development of a circular economy and promoting sustainable development.
碳排放与可持续发展已引起全球关注。推动黄河流域城市绿色创新有助于降低碳排放强度，提升安全性与可持续性。构建SBM-DEA模型来测度碳排放效率，并计算了黄河流域73个地级市碳排放效率与城市绿色创新的耦合协调度。运用改进的引力模型、社会网络分析和二次指派程序（QAP）构建碳排放效率与城市绿色创新的空间关联网络，以分析空间势能、网络特征和聚类特征。研究发现：（1）黄河流域碳排放效率与城市绿色创新的耦合协调度呈波动增长，相互促进，协同发展态势持续。（2）碳排放效率与城市绿色创新的空间联动逐渐紧密，空间联动势能逐年增加，具有明显的空间溢出效应，表明城市间的辐射和影响在逐渐增强。与中游相比，上游和下游地区在整个网络中的空间势能占比更高，其网络结构更为复杂和稳健。（3）运用块模型考察三大城市群的聚类模式，探究各城市在这些城市群中的定位和功能，包括净溢出、净受益、双向溢出和经纪板块，以加强城市间的联系与协同发展。（4）空间邻接性、产业结构、人口密度、数字经济、城市化水平和能源强度等因素以及时间和区域异质性对空间关联网络有显著影响。因此，黄河流域需要制定针对性政策，加强碳排放效率与城市绿色创新的协同合作，推动循环经济发展，促进可持续发展。
