School of Engineering Management, Hunan University of Finance and Economics, Changsha, 410205, Hunan, China.
School of Economics, Central South University of forestry and Technology, Changsha, 410004, Hunan, China.
Environ Sci Pollut Res Int. 2022 Dec;29(59):89469-89484. doi: 10.1007/s11356-022-21841-3. Epub 2022 Jul 19.
Convergence analysis of China's urban green land-use efficiency (GLUE) will help to explore whether regional differences in GLUE determined by regional economic development and imbalance of resource endowments gradually decrease over time. We construct a DEA model considering variable returns to scale to measure Chinese urban GLUE, and discuss the convergence of Chinese urban GLUE. We find that Chinese urban GLUE is generally low. GLUE of eastern cities is the best. GLUE of non-resource-based (NRB) cities is higher than that of resource-based (RB) cities. GLUE of Pearl River Delta Economic Zone is the highest, while that of Comprehensive Economic Zone of Central 6 Provinces is the lowest. Chinese urban GLUE is mainly affected by technological change. Chinese urban GLUE shows absolute and conditional β convergence, and the gap of GLUE between cities is constantly narrowing. Cities in different locations, resource dependence degrees, and economic zones have different convergence rates. The conclusions help the Chinese government to formulate policies for intensive land use, improve national GLUE, and promote urban intensive and high-quality development.
中国城市绿地利用效率（GLUE）的收敛分析有助于探讨由区域经济发展和资源禀赋不平衡决定的 GLUE 区域差异是否会随着时间的推移逐渐缩小。我们构建了一个考虑可变收益规模的 DEA 模型来衡量中国城市 GLUE，并讨论了中国城市 GLUE 的收敛性。研究结果表明，中国城市 GLUE 普遍较低。东部城市的 GLUE 最好，非资源型（NRB）城市的 GLUE 高于资源型（RB）城市。珠江三角洲经济区的 GLUE 最高，而中部六省综合经济区的 GLUE 最低。中国城市 GLUE 主要受技术变化的影响。中国城市 GLUE 呈现出绝对和条件β收敛，城市之间的 GLUE 差距不断缩小。不同地理位置、资源依赖程度和经济区的城市具有不同的收敛速度。研究结论有助于中国政府制定集约用地政策，提高国家 GLUE，促进城市集约和高质量发展。
