Does Government Purchasing Science and Technology Public Service Promote Regional S&T Innovation Ability? Evidence from China

Dongdan Zhu, Yuting Zhang () and Zhengnan Lu
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Dongdan Zhu: Jingjiang College, Jiangsu University, Zhenjiang 212013, China
Yuting Zhang: School of Management, Jiangsu University, Zhenjiang 212013, China
Zhengnan Lu: School of Management, Jiangsu University, Zhenjiang 212013, China

Sustainability, 2023, vol. 15, issue 3, 1-20

Abstract: During the development of scientific and technological innovation, the importance of Government Purchasing Public Services (GPPS) in the field of science and technology (S&T) has become increasingly prominent. To investigate the relationship between Government Purchasing Science and Technology Public Services (GPSTPS) and regional S&T innovation ability, this paper first constructs a PMC index model to estimate GPSTPS objectively. Then, the spatial econometric model is adopted to explore the impact of GPSTPS policy on the regional S&T innovation ability based on the provincial panel data from 2008 to 2017 in China. Results show that: (1) Regional S&T innovation ability has a significant spatial positive correlation in geographical space from 2008 to 2017. (2) From the overall perspective, the GPSTPS policy does not play a role in improving the regional S&T innovation ability. (3) From the perspective of subregions, there are differences in the impact of GPSTPS on the regional S&T innovation ability between the eastern, central and western regions of China. (4) From the perspective of spatial spillover effect, the policy of GPSTPS has a positive spatial spillover effect on the improvement of regional S&T innovation ability in the eastern region, while the effect is not obvious in central and western regions.

Keywords: regional S&T innovation ability; government purchasing science and technology public service; spatial econometric model; PMC index model; China (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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