Abstract
Industrial green technology innovation has become an important content in achieving high-quality economic growth and comprehensively practicing the new development concept in the new era. This paper measures the efficiency of industrial green technology innovation and regional differences based on Chinese provincial panel data from 2005 to 2018, using a combination of the super efficiency slacks-based measure (SBM) model for considering undesirable outputs and the Dagum Gini coefficient method, and discusses and analyses the factors influencing industrial green technology innovation efficiency by constructing a spatial econometric model. The results show that: firstly, industrial green technology innovation efficiency in China shows a relatively stable development trend, going through three stages: “stationary period”, “recession period” and “growth period”. However, the efficiency gap between different regions is obvious, specifically in the eastern > central > western regions of China, and the industrial green technology efficiency innovation in the central and western regions is lower than the national average. Secondly, regional differences in the efficiency of industrial green technology innovation in China are evident but tend to narrow overall, with the main reason for the overall difference being regional differences. In terms of intra-regional variation, variation within the eastern region is relatively stable, variation within the central region is relatively low and shows an inverted ‘U’ shaped trend, and variation within the western region is high and shows a fluctuating downward trend. Thirdly, the firm size, government support, openness to the outside world, environmental regulations and education levels contribute to the efficiency of industrial green technology innovation. In addition, the industrial structure hinders the efficiency of industrial green technology innovation, and each influencing factor has different degrees of spatial spillover effects.
Highlights
This paper studies the trend of green innovation efficiency and, combined with the research of internal and external environmental factors, makes it more reasonable to promote the spatial allocation of green innovation efficiency, which is of great significance in promoting green innovation and economic growth and narrowing China’s economic gap
This paper uses the super efficiency slacks-based measure (SBM) model, considering undesirable outputs, to measure the innovation efficiency of China’s industrial green technology, and the regional differences and influencing factors of industrial green technology innovation efficiency (GTIE) are analyzed in combination with the
In China’s eastern, central and western regions is similar to the overall change rule of the whole country, but the efficiency gap between the three regions is obvious, with the highest in the east, the second in the middle and the lowest in the west, and the industrial GTIE in the central and western regions is lower than the national average level
Summary
As the “baton” to guide the construction of ecological civilization and green economic development, the new development concept demands higher requirements for the current economic structure adjustment and industrial transformation and upgrading, and adds value to green technology innovation (GTI), the primary driving force to promote the development of green and light industry. As the main battlefield of green innovation development and an important starting point of technological innovation-driven strategy, the industrial industry is an important engine to promote efficient and stable economic growth, and plays an important role in improving the national comprehensive competitiveness [1]. China is a big industrial country, and industry is an important source of GDP growth, the main battlefield of green innovation and development, an important starting point of technology innovation driving strategy and an important engine for promoting efficient and stable economic growth [2].
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