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中国新能源产业技术创新能力时空格局演变及影响因素分析
引用本文:谢聪,王强.中国新能源产业技术创新能力时空格局演变及影响因素分析[J].地理研究,2022,41(1):130-148.
作者姓名:谢聪  王强
作者单位:1. 福建师范大学湿润亚热带山地生态国家重点实验室培育基地,福州 3500072. 福建师范大学地理科学学院,福州 350007
基金项目:国家自然科学基金项目(41971159);
摘    要:基于中国367个城市单元的太阳能和风能专利申请数据测度中国新能源产业技术创新能力,采用基尼系数、空间自相关、空间计量模型等方法,对2001—2018年中国新能源产业创新发展阶段、总体分异、空间分布、空间关联以及影响因素进行探究。研究发现:① 中国新能源产业技术创新发展整体呈现增长态势,同时存在明显的阶段性特征,与“石油危机”“金融危机”等重要节点事件有密切关系。② 中国新能源技术创新能力的区域总体分异特征明显,全国尺度下内部空间差异大。东部地区基尼系数维持相对稳定,创新能力较弱的西部地区,新能源技术创新能力差异也最大。而中、东北部地区内部空间分异相对均衡且差异不断缩小。③ 高、较高水平的新能源技术创新城市空间分布具有较强的经济依赖性,且广泛分布在经济较发达城市。④ 太阳能和风能技术创新能力Moran's I值均为正且呈不断上升趋势,说明新能源技术创新能力在城市间存在显著的空间相关性。高-高集聚区主要集中分布在京津冀、长三角、珠三角地区,而高-低集聚区主要分布在中西部地区的省会城市,对周边城市的带动辐射作用不明显。⑤ 经济发展基础、教育水平、工业化水平、用电需求、人力资本、科技投入、资源禀赋、环境规制等9个方面因素不同程度影响着全国层面和四大地区层面城市的新能源产业技术创新能力的形成。

关 键 词:新能源产业  太阳能  风能  时空格局  创新能力  
收稿时间:2021-06-21

Spatio-temporal characteristics of new energy industry innovation capability and impact factors analysis in China
XIE Cong,WANG Qiang.Spatio-temporal characteristics of new energy industry innovation capability and impact factors analysis in China[J].Geographical Research,2022,41(1):130-148.
Authors:XIE Cong  WANG Qiang
Institution:1. The State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China2. School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China
Abstract:Based on the number of patent applications in the field of solar and wind energy submitted in 367 cities in China, we measure the technological innovation ability of China's new energy industry. Then this industry’s innovation phases, spatial distributions, spatial correlations and influencing factors between 2001 and 2018 are explored by means of Gini coefficient, spatial autocorrelation and spatial measurement model. Results show that: (1) The technology innovation and development in China's new energy industry presents an overall growing trend, with obvious phase characteristics and different changing trends. Oil crisis and financial crisis are two important events in the development process, where national incentive policies also play an important role. (2) The Gini Index of the eastern region where innovation outputs are mainly concentrated shows little change; in contrast, the Gini Index of the central and northeastern regions shows a decline trend. On the other hand, the innovation ability is weak in the western region, with the largest difference in innovation ability related to new energy technologies. (3) High level innovation hotspots are widely distributed across developed cities. (4) The Moran's I value for technological innovation capabilities in solar and wind energy is both positive and rising, indicating that there is a significant spatial correlation in terms of new energy technological innovation capabilities in cities, and the spatial agglomeration gradually intensifies. The H-H cluster areas are mainly distributed in the Beijing-Tianjin-Hebei region, the Yangtze River Delta region and the Pearl River Delta region, while the H-L cluster areas are mainly distributed in the provincial capitals of central and western regions, with no obvious driving effect for neighboring cities, or with only limited radiation effect. (5) Economic foundation, education level, industrialization level, electricity demand, human capital, technology investment level, environmental regulation, resource endowment and urban innovation ability all have some impact on the development of the new energy industry’s technological innovation of cities. According to the four major regional factors, the influence and constraints of the development in solar and wind energy technology innovation have obvious regional heterogeneity. The level of economic development is the primary driving factor and an important foundation for bolstering the technological innovation and development of the new energy industry. The regional effects of environmental regulations, industrial structures and resource endowments are significantly different.
Keywords:new energy industry  solar energy  wind energy  spatiotemporal characteristics  innovation capability
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