Abstract
Innovation ability has become one of the core elements in the pursuit of China’s green growth, and high-tech industries are playing a leading role in technological innovation in China. With the rapid development of China’s high-tech industries, their innovation efficiency has attracted widespread attention. This article aims to illustrate a shared inputs two-stage network Data Envelopment Analysis (DEA), to measure the innovation efficiency of high-tech industries in China’s 29 provinces from 1999 to 2018. The results indicate that there are obvious differences in the innovation efficiency of the provinces. The technology development efficiency, the technical transformation efficiency, and the overall innovation efficiency of the developed east coast provinces are generally higher than those of the backward central and western provinces. This article further applies the spatial econometrics model to analyze the factors influencing the innovation efficiency of high-tech industries. We have found that government support, R&D input intensity, industries aggregation, economic extroversion, and the level of development of the modern service industries cause varying degrees of impact on innovation efficiency.
Highlights
IntroductionThis mode of extensive economic growth pursues rapid economic growth one-sidedly and ignores the quality of economic growth, generating serious resource waste, environmental pollution and environmental damage
Since the implementation of the reform leading to a more open international policy, China has witnessed rapid economic development, with an average annual growth rate of 9.6% between 1978 and2018
Outward economy has a positive effect on technological development and holistic innovation efficiency, but is not conducive to technological conversion efficiency
Summary
This mode of extensive economic growth pursues rapid economic growth one-sidedly and ignores the quality of economic growth, generating serious resource waste, environmental pollution and environmental damage. It is very important for the Chinese government to promote an ecological society while exploring the path of economic development. High-quality Development that is an organic combination of China’s national conditions and green growth [1], and has ratified over 30 conventions and protocols related to environmental protection, which cover every aspect of economic development and environmental regulations, as of 2017. Due to the long time span of the data, and to avoid the influence of inflation and deflation on price-related time series data, this paper uses a fixed assets investment index to conduct a price deflator to index sequential data of price-related new product value and internal expenditure of R&D expense.
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