东北三省城市土地利用效益评价及耦合协调关系研究

doi:10.13249/j.cnki.sgs.2019.02.015

Abstract

Abstract:

On the basis of the exposition to the coupling coordination connotation and interaction mechanism, we build a comprehensive evaluation index system, using the mean square deviation decision, coupling coordination degree model to measure the comprehensive urban land use efficiency in the three provinces of Northeast China, Heilongjiang, Jilin and Liaoning from 2003 to 2015 and analyses its spatio-temporal evolution process. The study found that: 1) The comprehensive efficiency of urban land use show the characteristics of ‘first up, then down’, and there are clearly difference between the three provinces. Besides, the center and the gateway city has long been at a higher level. 2) The change of the urban land utilization economic efficiency are similarity with the comprehensive efficiency, on the space, the low range is reduced obviously; the differences of social efficiency are not significant, but also showed a ‘convex’ word distribution on the space; the overall regional ecological and environmental efficiency is on a higher level, the high value area are changed from concentrated to disperse. 3) The economic, social and ecological environment of the urban land utilization efficiency in the coupling coordination relations between time nodes are characterized by disturbance, and give priority to moderate disorders, but the coupling coordination of different efficiency in center and the gateway city are relatively good and developing in a coordinated direction. Besides, Ha-Chang and the Mid-southern of Liaoning Province is better than that of other regions; 4) The imbalance relationship between urban land use efficiency is mainly affected by complex factors. Lagging of economic benefit is the main reason restricting the improvement of coupling and coordination relation of land use efficiency. The research results show that the current coupling coordination relationship between economic, social and ecological environment efficiency in northeast China is still in the stage of disorder. As a result, It has become the inevitable choice to promote urban land use system coordinated development of economy, society and ecological environmental efficiency in the process of future land use in northeast China. In this process, different types of region should form their own targeted path. For the full lagging region, the most important thing is to improve the economic efficiency of land use through the upgrading of industrial structure, which will increase the social efficiency and ecological efficiency. The social efficiency lagging region should strengthen the intensive use of limited construction land and enhance the level of infrastructure construction to improve urban internal conditions; The economic and social efficiency lagging regions should focus on strengthening the development of continuous industry and the industrial cooperation with the central city. For the other cities, promote clean production and circular economy, strengthen the ability of the central region agglomeration are the important ways to promote urban land use economic benefits.

Key words: urban land use efficiency, the coupling relationship and coordination, spatio-temporal evolution, the three provinces of Northeast China

CLC Number:

F301

Junfeng Tian, Binyan Wang, Shijun Wang. Urban Land Use Efficiency and Its Coupling Relationship in the Three Provinces of Northeast China[J].SCIENTIA GEOGRAPHICA SINICA, 2019, 39(2): 305-315.

Figures/Tables 9

Fig. 1

Table 1

Fig. 2

Fig. 3

Fig. 4

Fig.5

Table 2

The coupling coordination degree and its change of economic, social, ecological benefit of the urban land utilization in the three northeast provinces"

城市	2003年		2009年		2015年
城市	D	耦合协调等级	D	耦合协调等级	D	耦合协调等级
哈尔滨市	0.2964	轻度失调	0.3135	轻度失调	0.3249	轻度失调
齐齐哈尔市	0.2584	中度失调	0.2487	中度失调	0.2607	中度失调
鸡西市	0.2359	中度失调	0.2320	中度失调	0.2282	中度失调
鹤岗市	0.2160	中度失调	0.2495	中度失调	0.2343	中度失调
双鸭山市	0.2398	中度失调	0.2624	中度失调	0.2165	中度失调
大庆市	0.3338	轻度失调	0.3270	轻度失调	0.3264	轻度失调
伊春市	0.0000	极度失调	0.1427	严重失调	0.0000	极度失调
佳木斯市	0.2474	中度失调	0.2428	中度失调	0.2659	中度失调
七台河市	0.1940	严重失调	0.2592	中度失调	0.2220	中度失调
牡丹江市	0.2834	中度失调	0.2670	中度失调	0.2687	中度失调
黑河市	0.2707	中度失调	0.2089	中度失调	0.2217	中度失调
绥化市	0.2797	中度失调	0.2296	中度失调	0.2500	中度失调
长春市	0.3153	轻度失调	0.3133	轻度失调	0.3174	轻度失调
吉林市	0.2761	中度失调	0.3000	轻度失调	0.2802	中度失调
四平市	0.2350	中度失调	0.2731	中度失调	0.2904	轻度失调
辽源市	0.2276	中度失调	0.2917	轻度失调	0.2941	轻度失调
通化市	0.2688	中度失调	0.2673	中度失调	0.2605	中度失调
白山市	0.2652	中度失调	0.3067	轻度失调	0.2802	中度失调
松原市	0.2853	中度失调	0.3286	轻度失调	0.3138	轻度失调
白城市	0.2649	中度失调	0.2606	中度失调	0.2644	中度失调
沈阳市	0.3053	轻度失调	0.3471	轻度失调	0.3487	轻度失调
大连市	0.3020	轻度失调	0.3403	轻度失调	0.3307	轻度失调
鞍山市	0.2682	中度失调	0.2902	轻度失调	0.2779	中度失调
抚顺市	0.2384	中度失调	0.2659	中度失调	0.2860	中度失调
本溪市	0.2549	中度失调	0.2959	轻度失调	0.2941	轻度失调
丹东市	0.2538	中度失调	0.2792	中度失调	0.2797	中度失调
锦州市	0.2784	中度失调	0.2819	中度失调	0.3149	轻度失调
营口市	0.2469	中度失调	0.2810	中度失调	0.2919	轻度失调
阜新市	0.2512	中度失调	0.2437	中度失调	0.2288	中度失调
辽阳市	0.2452	中度失调	0.2713	中度失调	0.2752	中度失调
盘锦市	0.3016	轻度失调	0.3181	轻度失调	0.3196	轻度失调
铁岭市	0.2535	中度失调	0.2877	中度失调	0.2648	中度失调
朝阳市	0.2365	中度失调	0.2310	中度失调	0.2482	中度失调
葫芦岛市	0.2717	中度失调	0.2715	中度失调	0.2972	轻度失调
黑龙江省	0.2380	中度失调	0.2486	中度失调	0.2349	中度失调
吉林省	0.2673	中度失调	0.2927	轻度失调	0.2876	中度失调
辽宁省	0.2648	中度失调	0.2861	中度失调	0.2900	轻度失调

Table 2

Fig. 6

Table 3

The Limiting factors classification to the coupling coordination of economic, social, ecological benefit of the urban land utilization in the three northeast provinces"

类型划分	分类依据	2015年包含的城市
经济效益滞后型	$u 1 < u 1 ˉ, u 2 > u 2 ˉ, u 3 > u 3 ˉ$	四平市
社会效益滞后型	$u 1 > u 1 ˉ, u 2 < u 2 ˉ, u 3 > u 3 ˉ$	辽源市、抚顺市、锦州市
生态环境效益滞后型	$u 1 > u 1 ˉ, u 2 > u 2 ˉ, u 3 < u 3 ˉ$	——
经济社会效益滞后型	$u 1 < u 1 ˉ, u 2 < u 2 ˉ, u 3 > u 3 ˉ$	齐齐哈尔市、鸡西市、鹤岗市、伊春市、佳木斯市、七台河市、吉林市、通化市、阜新市、铁岭市
经济生态效益滞后型	$u 1 < u 1 ˉ, u 2 > u 2 ˉ, u 3 < u 3 ˉ$	牡丹江市、黑河市、白山市、白城市、辽阳市
社会生态效益滞后型	$u 1 > u 1 ˉ, u 2 < u 2 ˉ, u 3 < u 3 ˉ$	鞍山市、本溪市、丹东市、营口市
全面滞后型	$u 1 < u 1 ˉ, u 2 < u 2 ˉ, u 3 < u 3 ˉ$	鸭山市、朝阳市、绥化市

Table 3

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系统层	子系统层	指标层	功效	权重
城市土地综合利用效益	经济效益	城镇地均国内生产总值（万元/hm²）	+	0.0783
		单位建设用地面积财政收入（万元/ hm²）	+	0.0670
		单位建设用地面积第二产业生产总值（万元/ hm²）	+	0.0710
		单位建设用地面积第三产业生产总值（万元/ hm²）	+	0.0660
		单位建设用地面积固定资产投资（万元/ hm²）	+	0.0774
	社会效益	城镇居民人均纯收入（元）	+	0.0722
		单位建设用地面积人口密度（人/ hm²）	-	0.0784
		城镇人均居住面积（m²/人）	+	0.0594
		城镇人均道路面积（m²/人）	+	0.0590
		人均建设用地面积（m²/人）	-	0.0582
		建设用地扩展速度（%）	-	0.0531
	生态环境效益	建成区绿化覆盖率（%）	+	0.0690
		人均公共绿地面积（m²/人）	+	0.0587
		单位面积建设用地工业废气排放量（m³/hm²）	-	0.0660
		单位面积建设用地污水排放量（t/ hm²）	-	0.0662

Urban Land Use Efficiency and Its Coupling Relationship in the Three Provinces of Northeast China

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[2]	Cheng Wang, Qing Peng, Ning Tang, Haoying Li. Spatio-temporal Evolution and the Synergy and Trade-off Relationship of Cultivated Land Multi-function in 2005-2015: A Case of Shapingba District, Chongqing City [J]. SCIENTIA GEOGRAPHICA SINICA, 2018, 38(4): 590-599.
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[4]	Guang-liang XI, Feng ZHEN, Min ZHANG, Gang YIN, Jin-liang JIANG. Spatio-temporal Evolution and Regional Connection of Online Consumption: A Case Study on Jingdong Mall [J]. SCIENTIA GEOGRAPHICA SINICA, 2015, 35(11): 1372-1380.
[5]	Hai-meng LIU, Pei-ji SHI, Jing-hu PAN, Zhi CAO, Zuo-lun XIE. Spatio-temporal Evolution on Housing Price to Income Ratio of China by Multiscale Analysis [J]. SCIENTIA GEOGRAPHICA SINICA, 2015, 35(10): 1280-1287.
[6]	Zi-long ZHANG, Chen-yu LU, Xing-peng CHEN, Bing XUE. Spatio-temporal Evolution of Agricultural Eco-efficiency in Loess Plateau of East Gansu Province: A Case Study of Qingyang City [J]. SCIENTIA GEOGRAPHICA SINICA, 2014, 34(4): 472-478.
[7]	Wen-qian KE, Yu-qi LU, Zhao-yuan YU, Han WANG, Wei CHEN, Ying-yi MA. Spatio-temporal Evolution Patterns of External Service Capabilities of Chinese Central Cities Based on Urban Flow Intensity [J]. SCIENTIA GEOGRAPHICA SINICA, 2014, 34(11): 1305-1312.