长三角地区不同空间尺度创新合作对城市创新绩效的影响研究

doi:10.13249/j.cnki.sgs.2022.10.007

摘要/Abstract

摘要：

引入超效率SBM模型（Slacks-Based Measure）、面板回归模型，探讨2001—2018年长三角地区不同空间尺度创新合作与城市创新绩效的关系，研究表明：① 长三角地区创新绩效总体呈上升趋势，但整体水平不高，创新绩效高值区集中在沪宁合杭甬发展带及其邻近地域，至2018年，22%的城市的创新绩效高于0.8657，仍有63%的城市创新绩效低于0.4491。② 不同行政等级城市中，3种空间尺度创新合作对高等级城市创新绩效的积极影响作用由大到小的顺序为：区域外创新合作、区域内创新合作、本地创新合作，对一般等级城市创新绩效的积极影响作用由大到小的顺序为：区域外创新合作、本地创新合作、区域内创新合作。③ 高等级城市中，本地创新合作与区域外创新合作相互削弱对方对创新绩效的积极影响作用，二者的平衡利于提高城市创新绩效；本地创新合作与区域内创新合作交互和平衡效应也与此相同。④ 一般等级城市中，本地创新合作与区域外创新合作相互削弱对方对创新绩效的积极影响作用，二者之间的平衡对创新绩效无显著影响作用；本地与区域内创新合作未因对方的变化而对创新绩效产生显著影响作用，二者之间的平衡对创新绩效无显著影响作用。因此建议：加快推进长三角地区多个空间尺度创新合作，重视不同空间尺度创新合作之间的关系对城市创新绩效的影响作用。

关键词: 创新绩效, 创新合作, 沪宁合杭甬发展带, 长三角地区

Abstract:

The super-efficiency SBM model and panel regression model are introduced to explore the relationship between innovation cooperation of different spatial scales and urban innovation performance in the Yangtze River Delta region from 2001 to 2018. The research shows that: 1) The innovation performance of the Yangtze River Delta generally shows an upward trend, but the overall level is not high. The high-value areas of innovation performance are mostly concentrated in the Shanghai-Nanjing-Hefei-Hangzhou-Ningbo development zone and its adjacent areas. By 2018, 22% of cities had an innovation performance index above 0.8657, and 63% of cities still had an innovation performance index below 0.4491. 2) Among cities with different administrative levels, the order of positive effects of the cooperation of all spatial scales on the innovation performance of high hierarchy cities is: Outside-region innovation cooperation, inside-region innovation cooperation and local innovation cooperation, while the order of positive effects on the innovation performance of general hierarchy cities is: Outside-region innovation cooperation, local innovation cooperation and inside-region innovation cooperation. 3) In high hierarchy cities, local innovation cooperation and innovation cooperation outside the region weaken each other’s positive impact on innovation performance, and the balance between the two is conducive to improving urban innovation performance; Local innovation cooperation and regional innovation cooperation also weaken the positive impact of each other on innovation performance, and the balance of the two can also improve the innovation performance of cities. 4) In general hierarchy cities, local innovation cooperation and innovation cooperation outside the region weaken each other’s positive influence on innovation performance, and the balance between them has no significant influence on innovation performance; Local innovation cooperation and regional innovation cooperation has no significant Impact on Innovation performance due to the change of the other party,and the balance between them has no significant impact on innovation performance. Therefore, the following suggestions are put forward: Accelerate the innovation cooperation of multiple spatial scales in the Yangtze River Delta region, and pay attention to the influence of the relationship between innovation cooperation of different spatial scales on urban innovation performance.

Key words: innovation performance, innovation cooperation, Shanghai-Nanjing-Hefei-Hangzhou-Ningbo development zone, the Yangtze River Delta region

中图分类号:

K902

覃柳婷, 曾刚. 长三角地区不同空间尺度创新合作对城市创新绩效的影响研究[J]. 地理科学, 2022, 42(10): 1747-1756.

Qin Liuting, Zeng Gang. Impact of Innovation Cooperation of Different Spatial Scales on Urban Innovation Performance in the Yangtze River Delta Region[J]. SCIENTIA GEOGRAPHICA SINICA, 2022, 42(10): 1747-1756.

图/表 8

图1

图2

图3

图4

图5

表1

不同空间尺度创新合作与城市创新绩效的关系实证回归结果与稳健性检验结果

	固定效应模型		稳健性检验1		稳健性检验2
	模型1	模型2	模型3	模型4	模型5	模型6
注：Local为本地创新合作次数；Region为区域内城市间合作次数；China为区域外创新合作次数；Local×Region和Local×China是本地与区域内创新合作交互项、本地与区域外创新合作交互项；Local_Region和Local_China为本地与区域内创新合作平衡程度、本地和区域外创新合作平衡程度；Gov为政府支持；Hum为劳动力基础；perGDP为经济基础；Indust为产业结构； FDI为外商投资；Internet为信息化程度；^*、^和^*分别表示在1%、5%和10%的水平上显著；空白为无此项。
$\ln {L}{o}{c}{a}{l}$	0.2234^***	0.2080^***	0.334^***	0.2853^***	0.2128^***	0.1807^***
$\ln {R}{e}{g}{i}{o}{n}$	0.2184^***		0.201^***		0.1926^***
$\ln {China}$		0.2606^***		0.2958^***		0.2614^***
$\ln ({L}{o}{c}{a}{l}\times {R}{e}{g}{i}{o}{n})$	−0.0431^***		−0.0739^***		−0.0431^***
$\ln {L}{o}{c}{a}{l}\_{R}{e}{g}{i}{o}{n}$	−0.1205		0.0357		0.0981
$\ln ({L}{o}{c}{a}{l}\times {C}{h}{i}{n}{a})$		−0.0463^***		−0.0773^***		−0.0468^***
$\ln {L}{o}{c}{a}{l}\_{C}{h}{i}{n}{a}$		−0.0519		−0.0645		0.0783
$\ln {Gov}$	0.0330	0.0520	0.0508	0.0460	0.0835^***	0.1028^***
$\ln {H}{u}{m}$	−0.0683	−0.0934	−0.0627	−0.0838	0.1068	0.0788
$\ln {p}{e}{r}{G}{D}{P}$	0.0113	0.0414	0.0395	0.0146	−0.1426	−0.2138^*
$\ln {I}{n}{d}{u}{s}{t}$	0.8793^***	0.7658^**	0.9963^***	0.9137^***	0.3822^*	0.2596
lnFDI	−0.1257^**	−0.1280^**	−0.1485^***	−0.1408^***	−0.0821^**	−0.0758^**
$\ln {I}{n}{t}{e}{r}{n}{e}{t}$	0.3246^***	0.2929^***	0.3306^***	0.3097^***	0.3336^***	0.2991^***
常数项	−8.1250^***	−6.7219^***	−8.832^***	−7.9166^***	−7.086^***	−5.5135^***
R²	0.5804	0.6058	0.5805	0.5938	0.6244	0.6526

表1

表2

表3

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	高等级城市			一般等级城市
	模型1	模型2	模型3	模型4	模型5	模型6
注：^*、^和^*分别表示在1%、5%和10%的水平上显著；空白为无此项。
$\ln {L}{o}{c}{a}{l}$	0.1526^**	0.1619^*	0.1978^*	0.0832^**	0.1699^**	0.1815^***
$\ln {R}{e}{g}{i}{o}{n}$	0.1943^**	0.3027^**		0.0697^*	0.1211^*
$\ln {C}{h}{i}{n}{a}$	0.2254^***		0.2340^**	0.1634^***		0.2189^***
$\ln ({L}{o}{c}{a}{l}\times {R}{e}{g}{i}{o}{n})$		−0.0289^*			−0.1213
$\ln {L}{o}{c}{a}{l}\_{R}{e}{g}{i}{o}{n}$		0.4186^**			0.0010
$\ln ({L}{o}{c}{a}{l}\times {C}{h}{i}{n}{a})$			−0.0298^**			−0.0254^*
$\ln {L}{o}{c}{a}{l}\_{C}{h}{i}{n}{a}$			0.3923^*			0.0151
$ \mathrm{控}\mathrm{制}\mathrm{变}\mathrm{量} $	控制	控制	控制	控制	控制	控制
常数项	−4.5284	−4.8204^*	−7.7236^***	−3.9111^***	−6.3911^***	−5.0746^***
R²	0.6229	0.6039	0.6007	0.6263	0.6104	0.6289

	高等级城市		一般等级城市
	模型1	模型2	模型3	模型4
注：^*、^和^*分别表示在1%、5%和10%的水平上显著；空白为无此项。
$ \ln {L}{o}{c}{a}{l} $	0.1561^**	0.1463^**	0.1528^***	0.1583^***
$\ln {R}{e}{g}{i}{o}{n} $	0.2299^**		0.0862^*
$ \ln {C}{h}{i}{n}{a} $		0.2307^***		0.2169^***
$ \ln ({L}{o}{c}{a}{l}\times {R}{e}{g}{i}{o}{n} )$	−0.0243^**		−0.0026
$ \ln {L}{o}{c}{a}{l}\_{R}{e}{g}{i}{o}{n} $	0.5502^***		−0.0398
$ \ln ({L}{o}{c}{a}{l}\times {C}{h}{i}{n}{a}) $		−0.0274^***		−0.0261^***
$ \ln {L}{o}{c}{a}{l}\_{C}{h}{i}{n}{a} $		0.3629^**		0.0190
控制变量	控制	控制	控制	控制
常数项	−5.5974^**	−6.9401^***	−5.0632^***	−3.7767^***
R²	0.6934	0.6600	0.6632	0.6825