|
|
|
| The Mechanism of the Influence of Information Technology Investment on the Efficiency of Regional Innovation in Two Stages from the Perspective of Spatial Correlation |
| Zhang Zhiguang,Bai Yangrui,Hu Haiqing |
| (College of Economics and Management,Xi'an University of Technology,Xi'an 710054,China) |
|
|
|
|
Abstract The issues of resource endowment, low input-output efficiency and uneven spatial distribution of resources are restricting the implementation of China's regional innovation development strategy, resulting in obvious spatial agglomeration characteristics and huge regional differences in China's innovation efficiency. It has become the key to achieving innovation-driven development by improving innovation efficiency and the quantity and quality of innovation output on the basis of limited innovation resource input. To solve the various contradictions in the current economic development and make technical breakthroughs in the high-tech field, it is necessary to further improve the level of national innovation as a driving force. Because of the differences in innovation resource allocation, innovation environment and industrial base, the innovation process and innovation efficiency of different innovation stages should be treated specifically. #br# As an important means to create and cultivate new economic momentum and new economic growth points, information technology has become a key support point for innovation-driven high-quality economic development, and is significant for optimizing regional resource allocation and industrial structure adjustment. Information technology not only provides high-quality R&D personnel, accelerates organizational learning and knowledge flow and reduces organizational costs of technology R&D, but also promotes the quality and efficiency of traditional industries through penetration and substitution effects, deriving various emerging economies and digital platforms, thereby improving regional productivity and achieving innovation-driven development. In addition, there is a close geospatial relationship between regional innovation systems and their innovation elements, and it is necessary to include spatial econometric models in the research process to examine the innovation effect of information technology investment and the phenomenon of spatial agglomeration.#br#According to the innovation value chain theory and geographical economics, the regional innovation process is divided into technology research and development stage and market transformation stage, and the regional innovation efficiency of China from 2012 to 2020 is calculated based on the panel stochastic frontier analysis, and the impact of information technology investment on the two-stage innovation efficiency from the perspective of spatial effect is empirically examined, and the moderating effect of information technology industry scale is tested. The results show that the regional innovation efficiency in China's technology R&D stage shows an increasing trend year by year, and the market transformation stage shows a U-shaped pattern of first declining and then rising. There is a significant positive spatial correlation between the efficiency of two-stage innovation. There is a positive U-shaped relationship between information technology investment and innovation efficiency in the technology R&D stage, and an inverted U-shaped relationship with innovation efficiency in the market transformation stage. The scale of information technology industry is negatively and positively moderating respectively the impact of information technology investment on regional innovation efficiency in the stage of technology research and development and market transformation. Hence,it is vital to strengthen the quality of innovation in the stage of technology research and development, attach importance to basic research and rational allocation of the scale of information technology industry, and avoid serious excessive industrial convergence and waste of resources. #br#In order to improve the efficiency of regional innovation in China, the following policy suggestions are hereby put forward. First, in the stage of technology research and development, governments should further improve the construction of innovation ecosystem, actively implement scientific research and innovation reward and subsidy policies,and strengthen the quality of basic research investment and infrastructure construction. Secondly, in the stage of market transformation, all regions should improve the matching mechanism of scientific and technological achievements and market transformation, and accelerate the promotion of industry-university-research cooperation, and improve the trading and supervision system of the technology market to ensure the efficient operation of scientific research achievement transformation activities; in addition, since the impact of information technology investment on regional innovation efficiency in the two stages is different,each region should form its own unique information technology development strategy and industrial planning to prevent homogeneous competition and low-level duplicate construction, forming dislocation development; finally, it is essential to focus on the spatial agglomeration in innovation activities, give play to the synergy and complementary mechanism of regional high-tech industries, and explore cross-regional innovation cooperation models.#br#
|
|
Received: 22 June 2022
|
|
|
|
|
|
[1] 刘思明,张世瑾,朱惠东.国家创新驱动力测度及其经济高质量发展效应研究[J].数量经济技术经济研究,2019,36(4):3-23.
[2] 魏后凯,年猛,李玏.“十四五”时期中国区域发展战略与政策[J].中国工业经济,2020,37(5):5-22.
[3] 张之光,杜宁,马祎晗.区域创新环境是否提高了中国信息技术产业创新效率——基于两阶段创新过程的实证研究[J].科技进步与对策,2020,37(5):47-56.
[4] 李晓宇,陈国卿.信息技术投入、技术创新动态能力与企业绩效关系研究[J].科技进步与对策,2019,36(16):100-107.
[5] 宋旭光,赵雨涵.中国区域创新空间关联及其影响因素研究[J].数量经济技术经济研究,2018,35(7):22-40.
[6] SUJIN MIN,JUSEONG KIM,YEONG-WHA SAWNG. The effect of innovation network size and public R&D investment on regional innovation efficiency[J]. Technological Forecasting & Social Change,2020,155(8):119998.
[7] 马大来,陈仲常,王玲.中国区域创新效率的收敛性研究:基于空间经济学视角[J].管理工程学报,2017,31(1):71-78.
[8] 冉茂盛,陈亮,李万利.经济不确定性、企业家精神与区域创新效率[J].研究与发展管理,2021,33(3):149-162.
[9] 陈银娥,李鑫,李汶.中国省域科技创新效率的影响因素及时空异质性分析[J].中国软科学,2021,36(4):137-149.
[10] 柳卸林,朱浪梅,杨博旭.政府研发激励有利于提升区域创新效率[J].科研管理,2021,42(7):50-59.
[11] 韩先锋,宋文飞,李勃昕.互联网能成为中国区域创新效率提升的新动能吗[J].中国工业经济,2019,36(7):119-136.
[12] 王俊豪,周晟佳.中国数字产业发展的现状、特征及其溢出效应[J].数量经济技术经济研究,2021,38(3):103-119.
[13] 丁秀好,武素明.IT能力对开放式创新绩效的影响:知识整合能力的中介效应[J].管理评论,2020,32(10):147-157.
[14] AMRI MOHAMAD,et al. Does decentralized decision making increase company performance through its Information Technology infrastructure investment[J].International Journal of Accounting Information Systems,2017,27:1-15.
[15] 王宇,王铁男,易希薇.R&D投入对IT投资的协同效应研究——基于一个内部组织特征的情境视角[J].管理世界,2020,36(7):77-89.
[16] JIAN CHEN,LINGJUN WANG,YUANYUAN LI. Natural resources, urbanization and regional innovation capabilities[J]. Resources Policy,2020,66:101643.
[17] 苏屹,林周周.区域创新活动的空间效应及影响因素研究[J].数量经济技术经济研究,2017,34(11):63-80.
[18] 江春,冯阿美.外资进入、企业家精神与区域创新效率[J].预测,2021,40(4):9-16.
[19] WINSTON T LIN,YUEH H CHEN,BENJAMIN B M SHAO. Assessing the business values of information technology and e-commerce independently and jointly[J].European Journal of Operational Research,2015,245(3):815-827.
|
|
|
|
