劉蒙罷 胡賢輝

摘要 [目的]以湖南省為例,研究湖南省各個市的土地利用經濟效益以及他們之間的空間耦合關系。[方法]從土地投入與產出的視角來對湖南省14個市區的土地利用的經濟效益進行研究,并借助于耦合協調模型進行空間差異性分析。[結果]湖南省整體土地利用的經濟效益水平并不是很高,在所有的市中,只有省會長沙已經步入了初級協調發展的水平協調度最高,其余的大多市級都是處于瀕臨失調區間,部分市級處于輕度失調區間;通過空間耦合協調度的空間分析,得出湖南省土地利用經濟效益存在著正的空間自相關關系,但是這種正的空間自相關并不是非常顯著,沒有表現出一定的空間聚集狀態。[結論]湖南省土地利用經濟效益空間差異主要是受到區位條件、城市發展戰略等相關性因素的影響。
關鍵詞 土地利用;耦合協調度;空間分析;湖南省
中圖分類號 S-9 文獻標識碼 A 文章編號 0517-6611(2018)23-0039-05
Abstract [Objective] Taking Hunan Province as an example, the economic benefits of land use in each city of Hunan Province and the spatial coupling relationship between them were studied.[Method] From the perspective of land input and output, the economic benefits of land use in 14 urban areas of Hunan Province were studied, and the spatial difference analysis was carried out by means of the coupled coordination model.[Result] The economic benefit level of overall land use in Hunan Province was not very high. Among all the cities, only the provincial capital Changsha had entered the level of primary coordinated development with the highest level of coordination. Most of the other municipalities were in the middle of the imbalance zone. Some municipalities were in a mildly disordered range.Through the spatial analysis of spatial coupling coordination degree, it was concluded that there was a positive spatial autocorrelation relationship in the land use economic benefits of Hunan Province, but this positive spatial autocorrelation was not very significant and did not show a certain spatial aggregation state.[Conclusion] The spatial difference of economic benefits of land use in Hunan Province is mainly affected by relevant factors such as location conditions and urban development strategies.
Key words Land use;Coupling coordination;Spatial analysis;Hunan Province
土地利用的經濟效益評價是衡量一個地區土地利用總效益的最重要的因素[1]。對于土地利用經濟效益的評價一般都是通過對土地的投入量與土地的產出的有效產品和服務進行對比,以此得出該地區的土地投入與產出是否處于均衡的狀態[2]。對于土地利用的經濟效益研究,國內學者大多都是利用主成分分析的方法來計算出某個小尺度地區土地利用經濟效益總分,以此來評價該期間土地利用經濟效益的高低[1],并沒有對投入與產出效益進行對比,同時也沒有對各個地區之間的土地利用經濟效益進行空間上的自相關分析,也就沒法反映各地區土地利用的經濟效益水平是否表現出空間的集聚,不利于政策的制定。……