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成渝城市群绿色交通技术创新效率时空演变及影响因素

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运用超效率SBM-DEA模型对成渝城市群16个城市2001-2020年的绿色交通技术创新效率进行测度,并使用面板Tobit模型分析其影响因素.结果表明,成渝城市群绿色交通技术创新效率在2001-2012年间处于低水平波动态势,在2013-2020年增长速率较快;在2020年沿成渝双核发展主轴线形成了的"中心-外围"空间分布格局,城市间差距较明显;根据面板Tobit模型回归结果来看,交通产业区位熵、科研人员数量、环境规制强度等均对成渝城市群绿色交通技术创新效率具有显著促进作用.
Spatio-temporal Evolution and Influencing Factors of Green Transportation Technology Innovation Efficiency in Chengdu-Chongqing Urban Agglomeration
Based on the super-efficiency SBM-DEA model of non-expected output,the innovation efficiency of green transportation technology in 16 cities of Chengdu-Chongqing urban agglomeration from 2001 to 2020 was measured,and the panel Tobit model was used to analyze its influencing factors.The results show that the innovation efficiency of green transportation technology in Chengdu-Chongqing urban agglomeration fluctuates at a low level from 2001 to 2012,and increases at a higher rate from 2013 to 2020.In 2020,an obvious"center-periphery"spatial distribution pattern of green transportation technology innovation efficiency is formed along the Chengdu-Chongqing dual-core development main axis,but the gap between cities is still obvious.According to the regression results of panel Tobit model,transport industry location entropy,the number of researchers,environmental regulation intensity all have significant promoting effects on the innovation efficiency of green transport technology in Chengdu-Chongqing urban agglomeration.

Chengdu-Chongqing urban agglomerationinnovation efficiency of green transportation technologysuper-efficiency SBM-DEA modelpanel Tobit model

侯鑫

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重庆师范大学地理与旅游学院,重庆 400000

成渝城市群 绿色交通技术创新效率 超效率SBM-DEA模型 面板Tobit模型

2024

科技和产业
中国技术经济学会

科技和产业

影响因子:0.361
ISSN:1671-1807
年,卷(期):2024.24(24)