Dynamic relationship between meteorological data sharing capability and regional economic development.

This article examines the dynamic relationship between meteorological data sharing capability and regional economic development in China using a panel Vector Autoregressive (VAR) model based on data from 31 provincial administrative regions between 2003 and 2018. The study finds a significant but limited short-term impact of meteorological data sharing on regional GDP growth, while regional economic development more strongly influences the extent of meteorological data sharing over the long term. The research integrates multiple indicators of meteorological data sharing into a composite measure and employs stationarity tests, Granger causality analysis, impulse response functions, and variance decomposition to analyze their interactions. The findings suggest a bidirectional relationship, with economic growth providing sustainable support for meteorological data openness, though the exact mechanisms of influence remain to be further explored.