Original scientific paper
https://doi.org/10.1080/1331677X.2022.2120043
Driving effect of fiscal policy on regional innovation efficiency
Cui Li
Yawei Qi
Abstract
This study uses a network data envelopment analysis (DEA)
approach to measure phased innovation efficiency to explore
how fiscal technology innovation policy drives the development
of regional innovation. A game model is constructed that includes
governments, enterprises, universities, and research institutes to
explain the influence mechanism. The innovation process is
decomposed into the transformation stage of scientific research
results and their commercial application. A Tobit model is used to
explain the effect of fiscal policy on innovation efficiency. These
methods led to novel conclusions: (1) the growth rate of innovation
efficiency in the first stage is greater with smaller regional
differences, with larger regional differences in innovation efficiency
in the second stage; (2) the intensity of fiscal R&D funding
in science and technology has a significant positive effect on
overall innovation efficiency and phased innovation efficiency;
and (3) the positive effect of fiscal R&D funding is greater on the
commercial application of scientific achievements. The targeting
effect of fiscal innovation policy on industry–university research
(IUR) cooperation needs to be improved through resource sharing,
joint participation, sharing of achievements, and risk sharing.
Keywords
Fiscal policy; innovation efficiency; network DEA; Tobit model
Hrčak ID:
303753
URI
Publication date:
31.3.2023.
Visits: 461 *