How does the green efficiency of urban land use evolve in the urban agglomeration of China's middle Yangtze river?

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Jiaxuan Hong, Yanling Mao
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Abstract

The urban agglomeration in the middle reaches of the Yangtze river (MYRUA) is the second largest national urban agglomeration in China, with an excellent ecological foundation. As the construction of urban agglomerations accelerated towards both extension and connotation, land prices of various cities rose, and the contradiction in the demand and utilization of land resources became acute. Therefore, exploring the spatiotemporal evolution and driving mechanisms of land green utilization efficiency within MYRUA had positive significance. This article focused on 28 prefecture-level cities in the MYRUA and measured their urban land green use efficiency (ULGUE) from 2006 to 2018 using the super slack-based measure model with undesirable output (Super-SBM-U). Then, the improved Fixed Malmquist–Luenberger index was developed to improve the accuracy of dynamic efficiency analysis. Further, the internal and external driving factors were explored using the index decomposition and the spatial error model with fixed effects. The results showed that the land use mode of the urban agglomeration in the middle reaches of the Yangtze River was relatively green, but efficiency gaps still existed. Although the green total factor productivity of the whole cluster has improved by 3.30% a year on average, the excessive pursuit of technological innovation has led to the stagnation of urban land management in various cities, and there are numerous inherent contradictions in urban development. But at the same time, feasible economic development directions, industrial upgrading, high-quality employees, land marketization, and positive environmental behaviors are conducive to the green and sustainable development of ULGUE. This article depicted the internal land use characteristics of the MYRUA from the perspective of spatiotemporal evolution and efficiency, providing a theoretical reference for the green development and coordinated management of urban agglomeration land.
长江中游城市群城市土地利用绿色效率的演化规律
长江中游城市群是中国第二大国家级城市群,具有良好的生态基础。随着城市群建设向外延和内涵同步推进,各城市地价上涨,土地资源需求和利用矛盾尖锐。因此,探讨三峡库区土地绿色利用效率的时空演变及其驱动机制具有积极意义。本文以内蒙古自治区28个地级市为研究对象,采用基于超差的非期望产出测度模型(super - sbm - u)对2006 - 2018年的城市土地绿色利用效率(ULGUE)进行了测度。然后,提出了改进的固定Malmquist-Luenberger指数,以提高动态效率分析的准确性。在此基础上,利用指数分解和固定效应空间误差模型,探讨了内外部驱动因素。结果表明:长江中游城市群土地利用模式相对绿色,但效率差距依然存在;虽然整个集群的绿色全要素生产率平均每年提高3.30%,但由于对技术创新的过度追求,导致各个城市的城市土地管理停滞不前,城市发展存在诸多内在矛盾。但同时,可行的经济发展方向、产业升级、高素质的员工队伍、土地市场化、积极的环保行为,都有利于城市的绿色可持续发展。本文从时空演化和效率视角描绘了城市群内部土地利用特征,为城市群土地的绿色发展和协调管理提供理论参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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