Analysis of the Spatial Effect of High Technology Industry Agglomeration in Regional Green Innovation Efficiency Improvement

Tianjiao Zheng and Xiao Wang

Chapter 90 in Economic Management and Big Data Application:Proceedings of the 3rd International Conference, 2024, pp 1006-1013 from World Scientific Publishing Co. Pte. Ltd.

Abstract: This paper uses the three-stage Malmquist index and spatial Durbin model to analyze the spatial spillover effect and the enhancing aggregation of high-tech industries’ effects affecting regional green innovation efficiency and its characteristic features using 30 Chinese provinces and cities’ panel data from 2010 to 2019. It is discovered that: Overall, each province and city’s high-tech sectors’ green innovation efficiency index is rising gradually, but the overall innovation efficiency is not high. The potential for improvement is large. According to the pattern’s distribution, there is a diminishing trend in both the east and the west. Agglomerations of high-tech industries have a geographical impact on the effectiveness of local green innovation. In particular, high-tech industry clusters can encourage the improvement of the region’s green innovation efficiency and also spur improvements in the bordering regions’ efficient green innovation. It is essential to strengthen the regional innovation system, support the growth of the regional high-tech industry, and ensure the efficient distribution of innovation components. The development environment of the high-tech industry must be further optimized.

Keywords: Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce (search for similar items in EconPapers)
JEL-codes: C63 C8 O14 (search for similar items in EconPapers)
Date: 2024
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