School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan, China.
Shandong High Speed Information Group Co., Ltd. Jinan, China.
PLoS One. 2024 Apr 18;19(4):e0296787. doi: 10.1371/journal.pone.0296787. eCollection 2024.
In the context of green and sustainable development and rural revitalization, analysis of the relationship between economic development and the evolution of carbon metabolism is of great significance for China's future transformation of development models. This study analyzed the spatial characteristics and spatiotemporal evolution pattern of the decoupling status between carbon metabolism and economic development of Laiwu during two periods from 2001 to 2018 at the village and town unit scales by using the Tapio decoupling model. The results showed that the growth rate of carbon metabolism from 2001 to 2009 was significantly higher than that from 2009 to 2018. The spatial heterogeneity of the decoupling states between economic development and carbon metabolism from 2009 to 2018 was significantly stronger than that from 2001 to 2009 in two units. From 2001 to 2018, the development trend gradually trended towards spatial imbalance. The decoupling status between villages and towns had a high degree of consistency from 2001 to 2009 and inconsistency from 2009 to 2018. From 2001 to 2009, the decoupling status of about 78% of villages was consistent with that of towns. Moreover, from 2009 to 2018, the consistency reduced to 32.2%, and the decoupling status of about 48% of villages was weaker than that of towns. According to the reclassification results of different decoupling state change types, from 2001 to 2018, about 52.2% of the villages had a decoupling state evolution type of eco-deteriorated economic development, which is an unsatisfactory development trend in a short time. Moreover, about 12.1% of the villages had a decoupling state evolution type of eco-improved economic development, which is a satisfactory development trend.
在绿色和可持续发展以及农村振兴的背景下,分析经济发展与碳代谢演变之间的关系,对中国未来发展模式的转变具有重要意义。本研究采用 Tapio 脱钩模型,以村庄和乡镇为单元,分析了莱芜市 2001-2018 年两个时期碳代谢与经济发展脱钩状态的空间特征和时空演变模式。结果表明,2001-2009 年碳代谢增长率明显高于 2009-2018 年;2009-2018 年,两个单元经济发展与碳代谢脱钩状态的空间异质性明显强于 2001-2009 年;从 2001 年到 2018 年,发展趋势逐渐趋于空间不平衡。2001-2009 年,乡镇之间的脱钩状态具有高度一致性,2009-2018 年不一致;2001-2009 年,约 78%的村庄脱钩状态与乡镇一致,而 2009-2018 年,一致性降低至 32.2%,约 48%的村庄脱钩状态弱于乡镇。根据不同脱钩状态变化类型的重新分类结果,2001-2018 年,约 52.2%的村庄脱钩状态演变类型为经济发展恶化的生态恶化,这是短期内不理想的发展趋势。此外,约 12.1%的村庄脱钩状态演变类型为经济发展改善的生态改善,这是一种令人满意的发展趋势。