Business School, Xinyang Normal University, Xinyang, Henan, China.
School of Business Administration, Anhui University of Finance and Economics, Bengbu, Anhui, China.
PLoS One. 2023 Mar 15;18(3):e0282865. doi: 10.1371/journal.pone.0282865. eCollection 2023.
Green development, an essential part of sustainable development transformation, is spatially correlated intra- and inter-regionally. However, previous research has not fully addressed the spatial characteristics of green development. This study investigates the spatial correlation structures, core-peripheral positions, and factors impacting the spatial network formation of China's green development. Based on the green development evaluation index system modified by the entropy method, this study applies social network analysis, block model analysis, and quadratic assignment procedure analysis to data from 30 provinces in China. The results confirm the spatial spillover effect is overwhelmingly present in China's green development. The findings further distinguish the core roles of provinces including Hunan, Tianjin, Zhejiang, Henan, and Xinjiang, and underline factors of green economic growth, governmental policy support, spatial adjacency, and geographic distance as significantly affecting the spatial network formation of China's green development. Policy recommendations for green development are then put forward.
绿色发展是可持续发展转型的重要组成部分，在区域内和区域间具有空间相关性。然而，以往的研究并未充分揭示绿色发展的空间特征。本研究旨在探讨中国绿色发展的空间关联结构、核心-边缘地位以及影响空间网络形成的因素。基于熵权法修正的绿色发展评价指标体系，本研究运用社会网络分析、块模型分析和二次分配程序分析方法，对中国 30 个省份的数据进行了分析。结果表明，中国绿色发展存在显著的空间溢出效应。研究还进一步区分了湖南、天津、浙江、河南和新疆等省份的核心作用，并强调了绿色经济增长、政府政策支持、空间邻近性和地理距离等因素对中国绿色发展空间网络形成的显著影响。最后提出了促进绿色发展的政策建议。
