Technological industry agglomeration, green innovation efficiency, and development quality of city cluster

Abstract

<abstract> <p>Technological progress, especially green innovation, is a key factor in achieving sustainable development and promoting economic growth. In this study, based on innovation value chain theory, we employ the location entropy, super-efficiency SBM-DEA model, and the improved entropy TOPSIS method to measure the technological industry agglomeration, two-stage green innovation efficiency, and development quality index in Yangtze River Delta city cluster, respectively. We then build a spatial panel simultaneous cubic equation model, focusing on the interaction effects among the three factors. The findings indicate: (1) There are significant spatial links between the technological industry agglomeration, green innovation efficiency, and development quality in city cluster. (2) The development quality and technological industry agglomeration are mutually beneficial. In the R&D stage, green innovation efficiency, development quality, and technological industry agglomeration compete with each other, while there is a mutual promotion in the transformation stage. (3) The spatial interaction among the three factors reveals the heterogeneity of two innovation stages. The positive geographical spillover effects of technological industry agglomeration, green innovation efficiency, and development quality are all related to each other. This paper can provide a reference for the direction and path of improving the development quality of city clusters worldwide.</p> </abstract>

Does the digital economy promote industrial green transformation? Evidence from spatial Durbin model

“…Increasing investment in technological innovation, environmental management and industrial structure upgrading can effectively improve the level of industrial green transformation (Han et al, 2020;Tian et al, 2022;Zhao et al, 2021). In addition, the ways to promote the green development of industry include building a strict environmental regulation and improving the level of human capital (Zhai and An, 2020;Wang et al, 2021;Liu et al, 2022b).…”

How does financial development environment affect regional innovation capabilities? New perspectives from digital finance and institutional quality

“…The intensity of R&D investment is measured by the ratio of regional R&D investment to regional GDP (Zhou et al, 2022). The industrial structure adjustment index is measured by the ratio of the added value of the tertiary industry to the secondary industry in each province (Liu et al, 2022). The data comes from the "China Statistical Yearbook" and "China Finance Yearbook."…”

How does digital finance affect industrial transformation?

“…Control variables. By referring to Wang et al (2021), Liu et al, 2022a, andHao et al (2020), We add some control variables to the model. We use the ratio of government public fiscal expenditure to GDP to measure the level of fiscal support (GOV).…”