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March 15, 2026Journal of Urban Planning and Development0 citations

Efficiency of Scientific and Technological Innovation, Financial Development, and Economic Development within the Guangdong Greater Bay Area: Empirical Analysis of the Panel Vector Autoregressive Model

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XLXin LuoJiangxi University of TechnologyLZLi ZhangNortheast Agricultural UniversityRGRishen GaoJiangxi University of Technology

Key Points

  • The research aims to explore the interactions between scientific and technological innovation efficiency, financial development, and economic growth in the Guangdong Greater Bay Area.
  • Analyzed panel data from 2008 to 2018
  • Employed panel vector autoregressive model
  • Used generalized method of moments for estimation
  • Conducted Granger causality analysis
  • Performed impulse response function and variance decomposition analyses
  • Economic development significantly enhances the efficiency of scientific and technological innovation.
  • Financial development drives economic development unilaterally over the long term.
  • Scientific and technological innovation efficiency shows weak positive response to shocks over the medium and long term.
  • Short-term negative impact of economic development on financial development transitions to positive over the long term.
  • Variance decomposition reveals financial development's significant contribution to economic growth.

Abstract

This study examines the dynamic relationship between the efficiency of scientific and technological innovation (STI), financial development, and economic development within the Guangdong–Hong Kong–Macao Greater Bay Area urban agglomeration from 2008 to 2018 using panel data and the panel vector autoregressive model. The generalized method of moments estimation findings indicate that economic and financial developments have strong explanatory power. Economic development significantly enhances the efficiency of scientific and technological innovation, while lagging financial development significantly impacts economic development. Granger causality analysis reveals that financial development drives economic development unilaterally, and economic development, in turn, promotes the efficiency of scientific and technological innovation. Impulse response function analysis indicates that financial and economic developments respond positively to their shocks. In contrast, scientific and technological innovation efficiency responds positively but weakly over the medium and long term. Financial development has a long-term positive effect on economic development, whereas economic development has a negative short-term impact on financial development, which becomes positive in the long term. Financial development also positively affects the efficiency of scientific and technological innovation in the long term. In contrast, the efficiency of scientific and technological innovation has a short-term negative but long-term positive effect on financial development. Variance decomposition confirms the significant contribution of financial development to economic development and the reciprocal promotion between economic development and financial and STI sectors. Therefore, it is suggested that the financial integration of the Guangdong–Hong Kong–Macao Greater Bay Area be strengthened, the leading role of scientific and technological innovation should be emphasized, and the experiences of international bay areas should be drawn on.

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Cite This Study

Luo et al. (2026) studied this question.

synapsesocial.com/papers/69b64c33b42794e3e660da01https://doi.org/10.1061/jupddm.upeng-6106
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