Analyzing the spatial network structure of agricultural greenhouse gases in China
- PDF / 2,876,725 Bytes
- 16 Pages / 595.276 x 790.866 pts Page_size
- 27 Downloads / 196 Views
RESEARCH ARTICLE
Analyzing the spatial network structure of agricultural greenhouse gases in China Yanqiu He 1
&
Xiang Lan 2 & Zuoang Zhou 2 & Fang Wang 1
Received: 30 April 2020 / Accepted: 21 September 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Investigating the regional correlation and factors affecting agricultural greenhouse gas (GHG) emissions can help establish a regional mechanism for the synergistic reduction of emissions and produce chain-like reductions. Different from the traditional geographical relationship analysis framework, linear analysis ideas, we use social network analysis to discern the regional correlations in agricultural GHG emissions from a relational network viewpoint, clarify the network functions of each node, and explain agricultural GHG correlation from a spatial, economic, and technological viewpoint by nonparametric regression. The results indicate that (1) the emission network is stable and there is a relationship of control between regions, (2) Central China is the most important region in agricultural GHG networks; however, the importance of the northwest and southwest has increased; the northeast has remained relatively independent, (3) influencers are mainly concentrated in the middle of the Yangtze River and the northwest, while dependentors are concentrated in municipalities such as Beijing and Tianjin, and the coastal regions in the southeast, and (4) the interprovincial agricultural GHG correlation can be enhanced by shortening the spatial distance, strengthening economic ties, and increasing the diffusion of technology. Implementing a “leader–follower” strategy according to the role of each region and enhancing the intermediator’s “conduit” role will ultimately lead to the formation of an interprovincial interactive and cooperative emission reduction mechanism. Keywords Sustainable agriculture . Agricultural greenhouse gas . Social network . Nonparametric regression . Synergistic emission reduction mechanism
Introduction Climate change is a key issue related to the sustainable development of policy, economy, society, and ecology in various countries. The United Nations Intergovernmental Panel on Climate Change (IPCC) proposed that net carbon dioxide
Responsible Editor: Philippe Garrigues Electronic supplementary material The online version of this article (https://doi.org/10.1007/s11356-020-10945-3) contains supplementary material, which is available to authorized users. * Yanqiu He [email protected] * Fang Wang [email protected] 1
College of Management, Sichuan Agricultural University, Chengdu 611130, China
2
Sichuan Provincial Bureau of Statistics, Sichuan, China
emissions should be reduced to zero by 2050, with a temperature increase not exceeding 1.5 °C to avert environmental disaster. Agriculture is one of the economic sectors that is known to affect greenhouse gas (GHG) emissions, both directly and indirectly (Athanasios et al. 2017), and approximately 20% of global carbon dioxide is produced by farming (Lu et al. 2018). S
Data Loading...
