| 摘要: |
| 基于数据包络分析、标准差椭圆和地理探测器方法，引入产业多样化指数和产业专业化指数，综合探讨陕甘宁资源型城市的转型效率、时空格局及其影响因素，得到2011—2020年陕甘宁资源型城市转型绩效综合得分及分布、不同发展阶段资源型城市转型绩效以及三省区各自资源型城市的转型绩效。结果表明：（1）2011—2020年陕甘宁资源型城市转型效率具有显著的时间和空间差异。（2）研究期内陕甘宁资源型城市转型效率空间分布格局基本保持稳定，仍以东西方向为主导。（3）地方财政一般预算内支出、城市建设用地面积、地区生产总值是影响资源型城市转型效率空间分异的主导因子。揭示了研究区资源型城市转型效率的发展演变态势及驱动因素，可为其持续优化转型提供决策依据。 |
| 关键词: 资源型城市 转型效率 时空格局 影响因素 陕甘宁地区 |
| DOI：10.7515/JEE232012 |
| CSTR：32259.14.JEE232012 |
| 分类号: |
| 基金项目:国家自然科学基金项目（42271221，42061037） |
| 英文基金项目:National Natural Science Foundation of China (42271221, 42061037) |
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| Spatial-temporal pattern and influencing factors of transformation efficiency of resource-based cities: a case study in Shaanxi-Gansu-Ningxia energy rich area |
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FANG Jie, LUO Anmeng, SHI Linna, DING Jinmei, WU Xinyan, WEN Qi
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1. School of Geography and Planning, Ningxia University, Yinchuan 750021, China
2. School of Architecture, Ningxia University, Yinchuan 750021, China
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| Abstract: |
| Background, aim, and scope The transformation of resource-based cities is imminent. However, the complexity of the transformation makes the resource-based cities face many difficulties. Understanding the transformation ability, effectiveness, and efficiency of resource-based cities in Shaanxi, Gansu, and Ningxia and analysing the influencing factors could help to provide a reference for further transformation planning. Materials and methods Based on the data envelopment analysis, standard deviation ellipse, and geographical detector method, this paper introduces the industrial diversification and specialization indices to comprehensively explore the transformation efficiency, spatial-temporal pattern, and influencing factors of resource-based cities in Shaanxi, Gansu, and Ningxia. Results The comprehensive efficiency of the transformation of resource-based cities in the three provinces varied significantly during the study period. The efficiency of transformation in the three provinces decreased, showing an inverted V-shaped evolution pattern. There are significant differences in the transformation scale efficiency evolution modes of resource-based cities in the three provinces. Since 2011, the centre of gravity of transformation efficiency has moved further to the eastern region with high science and technology investment level and resource utilization rate, but the spatial distribution is slowly dispersing. The spatial spillover effect of transformation efficiency can be observed. The spatial distribution pattern is still dominated by the east-west direction, while the influence of the north-south direction is growing slowly. Discussion During the study period, the transformation efficiency of resource-based cities varied significantly with time and space, mainly due to the long-term nature of technological and industrial succession. The elliptical centre of the gravity of transformation efficiency shifted to the eastern region. However, the speed and distance of the shift showed a decreasing trend, with the spatial distribution pattern remaining stable. The level of economic operation and factor input play a leading role in the spatio-temporal differentiation of transformation efficiency of resource-based cities. “The basic role of resource conservation and environmental friendliness and the leading role of economic operation and factor input” was the internal driving mechanism of the spatio-temporal differentiation of the transformation efficiency of resource-based cities during the study period. Conclusions The results show that: (1) there are significant temporal and spatial differences in the transformation efficiency of resource-based cities in the Shanxi-Gansu-Ningxia region from 2011 to 2020; (2) the spatial distribution pattern of transformation efficiency in Shaanxi-Gansu-Ningxia resource-based cities during the study period remained stable, dominated by the east-west direction and dispersing slowly; (3) local budget expenditure, urban construction land area, and gross regional product are the main factors affecting the spatial differentiation of transformation efficiency of resource-based cities in the study areas. Recommendations and perspectives There is a need to (1) boost the growth of non-resource industries and get rid of path dependence, (2) strengthen government guidance and adjust the investment structure, (3) improve the business environment and promote investment, (4) intensify land use and optimise the spatial pattern, and (5) recognize the importance of talent introduction and optimising growth. |
| Key words: resource-based city transformation efficiency spatio-temporal pattern influencing factors Shaanxi-
Gansu-Ningxia region |
