集聚空间组织型式对中国地市尺度工业SO2排放的影响

doi:10.11821/dlxb201910007

Abstract

Abstract:

Agglomeration externality is an important mechanism for reducing industrial pollution emission. Different agglomeration patterns correspond to different pollution emission behaviors and effects. Based on the theory of agglomeration economies and the industrial data from 285 China's prefecture-level cities, this paper differentiates the agglomeration patterns into different types such as agglomeration density, geographical proximity, specialization, diversity, related diversity, and unrelated diversity from the spatial and organizational perspectives, and investigates the spatial patterns of industrial SO₂ pollution intensity and industrial agglomeration levels, and examines the effects of different agglomeration types on industrial SO₂ emissions by building econometric models. The main conclusions are as follows: (1) There exists the asymmetric spatial distribution between the industrial SO₂ pollution intensity and the industrial agglomeration levels. The pollution intensity is higher in the west, but lower in the east. The levels of agglomeration density, geographic proximity, diversity, related diversity and unrelated diversity are higher in the eastern and central regions, but lower in the western. (2) There is the spatial spillover effect of industrial agglomeration on industrial SO₂ pollution. The geographical agglomeration, diversity, and related diversity in neighboring regions have a negative impact on industrial pollution, while specialization has a positive effect. (3) Raising the agglomeration scale and guiding enterprises concentrated in industrial parks can help to reduce industrial SO₂ emissions, and promoting the diverse and related industrial agglomeration is conducive to pollution reduction, while unrelated industries agglomeration will increase pollution emissions. (4) The impact of industrial agglomeration on industrial SO₂ emissions has a notable spatial heterogeneity. Agglomeration density, geographic proximity, diversity and related diversity play a more significant role in pollution reduction in the central and western regions, while specialization and unrelated diversity are not conducive to pollution reduction in the eastern and central regions; Increasing agglomeration density and reducing diversity and unrelated diversity level are more beneficial to the small cities; Improving the geographic proximity, industrial diversity and related diversity levels are more helpful to the medium- and small-sized cites, but the reduction effect for the large cities goes obviously down because of the crowding effect. (5) To further reduce the intensity of industrial SO₂ emissions, it is necessary to take the road of agglomeration, persist on increasing agglomeration density, guide enterprises' centralized layout, improve the level of industrial diversity based on technology association, strengthen the joint prevention and control among neighboring regions, and focus on the industrial linkage and environmental protection cooperation between regions.

Key words: agglomeration externality, pollution emission intensity, spatial and organizational agglomeration pattern, spatial spillover, industrial SO₂ emissions

HU Zhiqiang, MIAO Changhong, YUAN Feng. Impact of industrial spatial and organizational agglomeration patterns on industrial SO₂ emissions of prefecture-level cities in China[J].Acta Geographica Sinica, 2019, 74(10): 2045-2061.

Figures/Tables 9

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	模型1	模型2	模型3	模型4
ρ/λ	0.536^*** (0.016)	0.565^*** (0.016)	0.497^*** (0.017)	0.506^*** (0.017)
dens	-0.064^** (0.026)
pro		-0.036^*** (0.012)
rzi			0.003 (0.002)
rdi			-0.622^*** (0.100)
rv				-0.456^*** (0.090)
uv				0.458^*** (0.117)
pop	-1.538^*** (0.227)	-1.799^*** (0.223)	-1.474^*** (0.222)	-1.573^*** (0.221)
sstr	0.273^** (0.119)	0.290^** (0.120)	0.102 (0.120)	0.052 (0.123)
open	-0.261 (0.735)	0.938 (0.723)	1.635^** (0.715)	1.428^** (0.716)
tec	-5.294^*** (1.508)	-11.141^*** (1.380)	-8.557^*** (1.369)	-10.118^*** (1.358)
er	-0.034^** (0.015)	-0.040^*** (0.015)	-0.033^** (0.015)	0.041^*** (0.015)
W×dens	-0.245^*** (0.045)
W×pro		0.021 (0.020)
W×rzi			0.007^** (0.004)
W×rdi			-1.079^*** (0.172)
W×rv				-1.420^*** (0.159)
W×uv				0.323 (0.213)
R²	0.322	0.308	0.368	0.377
Lli	-2579.101	-2608.052	-2539.161	-2545.846
估计方法	固定效应	固定效应	固定效应	固定效应

	东部	中部	西部	东部	中部	西部
dens	-0.163^*** (0.025)	-0.941^*** (0.096)	-2.275^*** (0.260)
pro				0.054^** (0.025)	-0.074^*** (0.022)	-0.061^** (0.024)
pop	-0.302 (0.344)	-2.005^*** (0.460)	-1.468^** (0.648)	-0.926^*** (0.336)	-3.235^*** (0.461)	-3.638^*** (0.638)
sstr	1.093^*** (0.271)	1.088^*** (0.222)	-0.023 (0.234)	1.173^*** (0.276)	1.157^*** (0.231)	0.277 (0.241)
open	-1.161 (0.998)	-0.909 (1.972)	4.120^** (1.906)	-0.649 (1.014)	-1.339 (2.052)	0.668 (1.938)
tec	-16.815^*** (1.993)	-0.111 (2.476)	-54.787^*** (7.370)	-21.836^*** (1.858)	-12.005^*** (2.442)	-77.033^*** (7.172)
er	-0.708^*** (0.072)	-1.453^*** (0.098)	0.008 (0.021)	-0.713^*** (0.074)	-1.722^*** (0.098)	-0.004 (0.022)
c	5.478^*** (2.126)	15.878^*** (2.640)	12.613^*** (3.304)	8.686^*** (2.112)	23.717^*** (2.658)	24.216^*** (3.299)
R²	0.369	0.467	0.314	0.344	0.423	0.258
估计方法	固定效应	固定效应	固定效应	固定效应	固定效应	固定效应

	东部	中部	西部	东部	中部	西部
rzi	0.012^** (0.005)	0.015^*** (0.004)	0.002 (0.004)
rdi	-0.545^*** (0.149)	-1.380^*** (0.167)	-1.772^*** (0.292)
rv				-0.446^*** (0.145)	-1.195^*** (0.159)	-0.872^*** (0.197)
uv				0.485^* (0.242)	0.741^*** (0.211)	0.304 (0.246)
pop	-0.948^*** (0.332)	-2.507^*** (0.446)	-3.093^*** (0.624)	-0.339^*** (0.088)	-3.072^*** (0.452)	-3.020^*** (0.635)
sstr	1.076^*** (0.276)	0.701^*** (0.227)	0.170 (0.237)	1.093^*** (0.242)	0.525^** (0.244)	0.095 (0.243)
open	-0.343 (1.006)	0.004 (1.965)	1.710 (1.912)	-0.944 (0.906)	-0.355 (2.016)	0.979^** (1.931)
tec	-21.942^*** (1.833)	-6.600^*** (2.276)	-71.874^*** (7.099)	-23.996^*** (1.728)	-10.613^*** (2.321)	-77.865^*** (7.118)
er	-0.689^*** (0.073)	-1.522^*** (0.096)	-0.003 (0.022)	-0.702^*** (0.072)	-1.627^*** (0.097)	0.001 (0.022)
c	9.993^*** (2.065)	20.060^*** (2.547)	22.424^*** (3.186)	5.820^*** (0.635)	22.938^*** (2.595)	21.146^*** (3.238)
R²	0.356	0.474	0.286	0.346	0.447	0.270
估计方法	固定效应	固定效应	固定效应	随机效应	固定效应	固定效应

	小城市Ⅰ型	小城市Ⅱ型	中等城市	大城市
dens	-5.386^*** (1.274)	-0.580^*** (0.120)	-0.965^*** (0.094)	-0.132^*** (0.020)
pro	0.008 (0.048)	-0.062^*** (0.023)	-0.072^** (0.023)	0.032 (0.022)
rzi	0.009 (0.006)	0.009^** (0.004)	0.013^** (0.005)	0.005 (0.007)
rdi	2.016^*** (0.604)	-1.483^*** (0.234)	-1.720^*** (0.176)	-0.416^*** (0.132)
rv	-0.175 (0.309)	-0.813^*** (0.177)	-1.674^*** (0.173)	-0.105 (0.190)
uv	1.415^*** (0.314)	0.153 (0.250)	0.208 (0.257)	0.032 (0.295)

Impact of industrial spatial and organizational agglomeration patterns on industrial SO₂ emissions of prefecture-level cities in China

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Impact of industrial spatial and organizational agglomeration patterns on industrial SO2 emissions of prefecture-level cities in China

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Impact of industrial spatial and organizational agglomeration patterns on industrial SO₂ emissions of prefecture-level cities in China