Measurement of innovation resource allocation efficiency in civil–military integration enterprises

Abstract

Purpose As a transition economy, China is interested in allocating its limited innovation resources economically, reasonably and efficiently to produce as many outputs as possible with its limited financial and human resources. Nonetheless, what is the efficiency of the allocation of innovative resources for civil–military integration enterprises, and what factors hinder its efficiency improvement? The purpose of this paper is to explore these problems. Design/methodology/approach The improved two-stage network data envelopment analysis (DEA) method is used to measure the overall efficiency and stage efficiency of the innovation resource allocation of 58 Chinese civil–military integration listed companies from 2010 to 2016. Tobit model is used to analyze the influencing factors of resource allocation efficiency. Findings The results indicate that the overall efficiency and stage efficiency of innovation resource allocation fluctuate in varying degrees during the period. The optimization of overall efficiency is restricted by lower efficiency of innovation achievement transformation. Enterprise scale was found to have a significant negative impact on both overall and two-stage efficiencies. Proportion of research and development (R&D) personnel had a positive effect on the overall and two-stage efficiency. Government support had a significant positive effect on the stage of innovation resource development and overall efficiency. Originality/value Previous research studies have used either the DEA or stochastic frontier analysis method to measure the efficiency of innovation activities as a whole and ignored the stage of initial investment to final output in innovation activities. That is, the process in which initial input of R&D resources becomes innovation output, and then becomes economic benefits. Therefore, this paper studies the efficiency of innovation resource allocation of civil–military integration listed companies. The improved two-stage chain network DEA method and Tobit model were used.

Research on the Evaluation and Optimization of Innovation Ability of Private Enterprises Based on DEA Model

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“…is conclusion was reached after applying the DEA method to research conducted between the years 2000 and 2013 on the effectiveness of state-owned industrial enterprises. In enterprises that are owned by the government, it has been discovered that when environmental factors and the interference of random error are taken out of the equation, the average comprehensive efficiency of privately held businesses is found to be higher than that of publicly held businesses on average [20,21]. Using the DEA method, a number of researchers have investigated the production practices of state-owned and private companies operating in strategically important emerging industries.…”

Could Executive Compensation Incentive Enhance the Efficiency of Enterprise Resource Allocation? An Empirical Study from China

“…Unlike the allocation of innovation resources or scientific and technological resource allocation efficiency, which only considers scientific and technological resources, enterprise-based resource allocation involves all resource processes, including all inputs and human, material, and financial resources [39,40]. e resource allocation in enterprises involves a holistic process in which the results take their meaning from the interaction between its elements as a whole and cannot be understood in isolation [41,42].…”

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