| 京津冀地区城市三生空间碳代谢效率特征及演进模式 |
| 摘要点击 778 全文点击 193 投稿时间：2023-03-14 修订日期：2023-06-13 |
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| 中文关键词 三生空间 碳代谢效率 演进模式 物质流分析 超效率DEA模型 Malmquist指数 |
| 英文关键词 production-living-ecological space carbon metabolism efficiency evolution mode material flow analysis super-efficiency DEA model Malmquist index |
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| 中文摘要 |
| 探究城市三生空间系统的碳代谢效率有助于实现区域要素整合和空间优化.基于城市代谢视角，采用物质流分析法构建了京津冀地区三生空间碳代谢效率评估框架，并运用超效率DEA模型和Malmquist指数分析了2000~2020年三生空间碳代谢效率的时空分布、动态变化及演进模式.结果表明：①2000~2020年，京津冀地区三生空间碳代谢效率呈波动增长趋势，各城市碳代谢效率空间分异明显，碳代谢效率水平整体偏低，呈中部高、南北低的分布格局.②京津冀地区碳代谢效率全要素生产率呈增加趋势，技术进步变化和纯技术效率贡献作用不显著.超过50%的城市全要素生产率呈改善趋势，仅有38.46%的城市在碳代谢效率改善过程中存在技术进步现象，超过1/2地区的纯技术效率呈下降趋势，大部分城市的技术效率和规模效率变化指数大于1.③各城市碳代谢效率呈现不同的类型特征，按照其发展路径划为稳定式、反复式、渐进式和突变式这4种演进模式.各城市应据此采取差异化措施，合理配置三生空间资源，提高技术水平和规模效率，以期提高城市碳代谢效率水平. |
| 英文摘要 |
| This study explored the carbon metabolism efficiency of a production-living-ecological space system, which is of great significance for regional factor integration and spatial optimization. In this study, the material flow analysis method was introduced to establish a framework for evaluating the carbon metabolism efficiency of the production-living-ecological space system, and the super-efficiency DEA model and Malmquist index were used to empirically analyze the spatio-temporal distribution, dynamic change, and evolution patterns of the carbon metabolism efficiency of production-living-ecological space in the Beijing-Tianjin-Hebei Region, China, from 2000 to 2020 on the basis of the urban metabolic perspective. The results showed that:① the carbon metabolism efficiency of the production-living-ecological space showed a fluctuating growth trend, indicating the significant spatial differentiation of carbon metabolism efficiency in each city. There was a low overall carbon metabolism efficiency level, with a distribution pattern of being high in the middle and low in the north and south. ② The Malmquist index showed that the Total Factor Productivity (TFP) of carbon metabolism efficiency was greater than 1, and both the Technical Change (TC) and Pure Efficiency Change (PEC) were less than 1, in which the TFP showed an increasing trend, whereas there was no significant contribution of technological progress or pure technical efficiency to carbon metabolism efficiency. The total factor productivity of more than 50% of the cities showed an improving trend, only 38.46% of which made technological progress in improving carbon metabolism efficiency, and more than half of the urban pure technical efficiency showed a decreasing trend, in which the technical efficiency change and scale efficiency change were greater than 1 in most cities. ③ There were different types of carbon efficiency characteristics in each city, and according to the movement rules of the corresponding points in the quartile map, the evolution patterns of tourism industry efficiency were classified into stable, reciprocating, progressive, and abrupt. Therefore, local governments should adopt differentiated strategies to reasonably allocate spatial resources of production-living-ecological space and improve the technical level and scale efficiency, so as to improve the efficiency of urban carbon metabolism. |
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