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首页> 外文期刊>Sustainability >Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model
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Exploring the Spatial-Temporal Disparities of Urban Land Use Economic Efficiency in China and Its Influencing Factors under Environmental Constraints Based on a Sequential Slacks-Based Model

机译：基于序贯松弛模型的中国城市土地利用经济效率时空差异及其影响因素

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Using a sequential slack-based measure (SSBM) model, this paper analyzes the spatiotemporal disparities of urban land use economic efficiency (ULUEE) under environmental constraints, and its influencing factors in 270 cities across China from 2003–2012. The main results are as follows: (1) The average ULUEE for Chinese cities is only 0.411, and out of the 270 cities, only six cities are always efficient in urban land use in the study period. Most cities have a lot of room to improve the economic output of secondary and tertiary industries, as well as environmental protection work; (2) The eastern region of China enjoys the highest ULUEE, followed by the western and central regions. Super-scale cities show the best performance of all four city scales, followed by large-scale, small-scale and medium-scale cities. Cities with relatively developed economies and less pollutant discharge always have better ULUEE; (3) The results of slack variables analysis show that most cities have problems such as the labor surplus, over-development, excessive pollutant discharge, economic output shortage, and unreasonable use of funds is the most serious one; (4) The regression results of the influencing factors show that improvements of the per capita GDP and land use intensity are helpful to raise ULUEE. The urbanization rate and the proportion of foreign enterprises’ output account for the total output in the secondary and tertiary industries only have the same effect in some regions and city scales. The land management policy and land leasing policy have negative impact on the ULUEE in all the three regions and four city scales; (5) Some targeted policy goals are proposed, including the reduction of surplus labor, and pay more attention to environmental protection. Most importantly, effective implementation of land management policies from the central government, and stopping blind leasing of land to make up the local government’s financial deficit would be very helpful to improve the ULUEE of Chinese cities.
机译：本文采用连续松弛法（SSBM）模型，分析了2003-2012年中国270个城市在环境约束下城市土地利用经济效率（ULUEE）的时空差异及其影响因素。主要结果如下：（1）中国城市的平均ULUEE仅为0.411，在研究的270个城市中，只有六个城市的土地利用效率一直很高。大多数城市都有很大的空间来提高第二，第三产业的经济产出以及环境保护工作。 （2）中国东部地区的ULUEE最高，其次是西部和中部地区。超规模城市在所有四个城市规模中表现最佳，其次是大型，小型和中型城市。经济相对发达，污染物排放较少的城市，其ULUEE总是更好; （3）松弛变量分析的结果表明，大多数城市最严重的问题是劳动力过剩，开发过度，污染物排放过多，经济产出不足，资金使用不合理等。 （4）影响因素的回归结果表明，人均GDP和土地利用强度的提高有助于提高ULUEE。城市化率和外国企业产出占第二，第三产业总产出的比例仅在某些地区和城市规模上具有相同的影响。土地管理政策和土地租赁政策在所有三个地区和四个城市规模中对ULUEE产生了负面影响; （5）提出了一些有针对性的政策目标，包括减少剩余劳动力，并更加重视环境保护。最重要的是，有效实施中央政府的土地管理政策，并停止盲目租赁土地以弥补地方政府的财政赤字，对于改善中国城市的城镇化程度非常有用。

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