High-tech industry agglomeration and regional green development: An analysis of spatial Durbin model

Junwei Li, Wenxiao Liu, Lei Du and Jin Xiao

Technological Forecasting and Social Change, 2024, vol. 205, issue C

Abstract: Improving the level of regional green development is an important means to assist China's high-quality economic development. Based on provincial panel data from 2011 to 2021, this paper uses fixed effect model and spatial Durbin model to test the impact and spatial effect of high-tech industrial agglomeration (HIA) and regional green development (RGD). Research has found that: (1) China's overall RGD level is relatively high, presenting a spatial pattern of “central region>eastern region>western region”. (2) HIA and RGD have a significant spatial correlation, exhibiting a “high high” or “low low” spatial clustering feature. HIA has a promoting effect on RGD in both the province and surrounding provinces, with a significant positive spatial spillover effect. (3) HIA significantly improved the RGD levels in the eastern and central regions, but played a hindering role in the western regions. (4) The impact of HIA on RGD varies in different stages of development. The two stages of HIA have significantly promoted the improvement of RGD levels in both the province and surrounding provinces, and the “2016–2021” stage has a stronger promoting effect than the “2011–2015” stage. Finally, based on the research, this article proposes some relevant policy recommendations.

Keywords: High-tech industry agglomeration; Regional green development; Spatial spillover effect; Fixed effect model; China (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:205:y:2024:i:c:s0040162524001689

DOI: 10.1016/j.techfore.2024.123372

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