Evolution Characteristics of Urban Land Use Efficiency under Environmental Constraints in China

doi:10.5814/j.issn.1674-764x.2021.02.002

Abstract

Abstract:

In the context of high-quality economic development and coordinated regional development, this paper measures the urban land use efficiency of 275 prefecture-level cities in China from 2003 to 2016, taking into account the unexpected output (environmental pollution), and explores the temporal and spatial evolution of urban land use efficiency through kernel density estimation and spatial autocorrelation analysis. The results show that: (1) From 2003 to 2016, China’s urban land use efficiency showed an overall fluctuating growth, but it remained at a low level. The mean value of urban land use efficiency has been gradually decreasing in east, west and central regions. (2) In the whole country and the eastern, central and western regions, the regional differences have been increasing, and the efficiency values of the whole country and the east have become polarized. (3) Urban land use efficiency shows a weak spatial positive correlation, but the degree of spatial agglomeration is increasing. High-high agglomeration areas are mostly distributed in the southeastern coastal areas, and extend into the central region, while most of the high-low polarized areas are the capital cities of the central and western regions. The low-high depressed areas are scattered around the high-value accumulation areas, some of which have turned into high-high agglomeration areas during the study period, while the low-low homogeneous areas are mainly distributed in the central, western and northeastern regions. Therefore, it is proposed that strengthening the utilization of urban stock land, strengthening the regional cooperation mechanism, and formulating policies which improve the efficiency of land use are effective ways to promote the intensive and economical use of urban land, as well as regional coordinated development.

Key words: urban land use efficiency, regional coordinated development, environmental constraints, SBM-undesirable model, spatiotemporal evolution

SHI Jiaying, HE Yafen. Evolution Characteristics of Urban Land Use Efficiency under Environmental Constraints in China[J]. Journal of Resources and Ecology, 2021, 12(2): 143-154.

Figures/Tables 7

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Indicator category	Primary indicators	Secondary indicators
Inputs	Capital	Fixed assets investment (10⁴ yuan)
	Land	Built-up area (km²)
	Labor force	Number of secondary industry employees (10⁴ person) Number of tertiary industry employees (10⁴ person)
Desirable outputs	Economic output	Added value of secondary and tertiary industries (10⁴ yuan)
Undesirable outputs	Environmental pollution	Industrial wastewater discharge (10⁴ t)
		Industrial SO₂ emission (t)
		Industrial dust emission (t)

Indicator category	Primary indicators	Secondary indicators
Inputs	Capital	Fixed assets investment (10⁴ yuan)
	Land	Built-up area (km²)
	Labor force	Number of secondary industry employees (10⁴ person) Number of tertiary industry employees (10⁴ person)
Desirable outputs	Economic output	Added value of secondary and tertiary industries (10⁴ yuan)
Undesirable outputs	Environmental pollution	Industrial wastewater discharge (10⁴ t)
		Industrial SO₂ emission (t)
		Industrial dust emission (t)

Region	Level	Number of cities in 2003	Proportion（%）	Number of cities in 2008	Proportion（%）	Number of cities in 2012	Proportion（%）	Number of cities in 2016	Proportion（%）
The East	Extremely low	18	18.0	20	20.0	15	15.0	7	7.0
	Low	31	31.0	25	25.0	27	27.0	17	17.0
	Medium	29	29.0	26	26.0	19	19.0	24	24.0
	High	20	20.0	19	19.0	15	15.0	19	19.0
	Extremely high	2	2.0	10	10.0	24	24.0	33	33.0
The Central	Extremely low	47	47.0	39	39.0	40	40.0	16	16.0
	Low	35	35.0	38	38.0	22	22.0	24	24.0
	Medium	11	11.0	16	16.0	18	18.0	24	24.0
	High	4	4.0	4	4.0	10	10.0	20	20.0
	Extremely high	3	3.0	3	3.0	10	10.0	16	16.0
The West	Extremely low	39	52.0	25	33.3	18	24.0	8	10.7
	Low	22	29.3	21	28.0	23	30.7	16	21.3
	Medium	10	13.3	17	22.7	10	13.3	26	34.7
	High	3	4.0	8	10.7	12	16.0	13	17.3
	Extremely high	1	1.3	4	5.3	12	16.0	12	16.0%

Region	Level	Number of cities in 2003	Proportion（%）	Number of cities in 2008	Proportion（%）	Number of cities in 2012	Proportion（%）	Number of cities in 2016	Proportion（%）
The East	Extremely low	18	18.0	20	20.0	15	15.0	7	7.0
	Low	31	31.0	25	25.0	27	27.0	17	17.0
	Medium	29	29.0	26	26.0	19	19.0	24	24.0
	High	20	20.0	19	19.0	15	15.0	19	19.0
	Extremely high	2	2.0	10	10.0	24	24.0	33	33.0
The Central	Extremely low	47	47.0	39	39.0	40	40.0	16	16.0
	Low	35	35.0	38	38.0	22	22.0	24	24.0
	Medium	11	11.0	16	16.0	18	18.0	24	24.0
	High	4	4.0	4	4.0	10	10.0	20	20.0
	Extremely high	3	3.0	3	3.0	10	10.0	16	16.0
The West	Extremely low	39	52.0	25	33.3	18	24.0	8	10.7
	Low	22	29.3	21	28.0	23	30.7	16	21.3
	Medium	10	13.3	17	22.7	10	13.3	26	34.7
	High	3	4.0	8	10.7	12	16.0	13	17.3
	Extremely high	1	1.3	4	5.3	12	16.0	12	16.0%