Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2021.1969979
Optimal path selection of innovation resource allocation in China’s regions with shared inputs
Zhiwen Zhang
Zilong Wang
Yongfen Zhu
Sažetak
As an effective form of interaction between innovation subjects
and resources, the regional innovation network’s optimal allocation of resources is the key to improving national innovation capacity. According to the innovation value chain, the process of
resource allocation in innovation can be divided into two correlative sub-systems: the knowledge innovation stage (KIS) and the
achievements commercialisation stage (ACS). To evaluate regional
innovation efficiency, a two-stage network data envelopment analysis model with shared inputs is used, with fuzzy set qualitative
comparative analysis to analyse the improvement path of
resource allocation efficiency from the dimensions of regional
environment and network structure. The results show that efficiency in the KIS is higher than in the ACS, and the efficiency
scores for most regions in China are better under the model with
shared inputs. The efficiency of innovative resource allocation is
affected by the cross-action of seven factors: regional economic
development, infrastructure, policy system, social culture, network
scale, network openness, and network centrality. To achieve highefficiency resource allocation, regions should build an innovation
network that matches their environmental characteristics. These
findings provide theoretical guidance for formulating innovative
resource allocation policies suitable for different regions.
Ključne riječi
Innovation resource allocation; two-stage network DEA; shared inputs; efficiency evaluation; fsQCA; path optimisation
Hrčak ID:
302052
URI
Datum izdavanja:
31.3.2023.
Posjeta: 503 *