Convergence Spatial Measurement of Economic Growth Based on Big Data

Abstract

Economic growth has always been one of the hottest topics in economic research. Behind the rapid economic growth, the economic gap between regions is gradually widening, and the internal gap will have an impact on the overall coordination of economic growth. Research on the convergence of economic development and its causes has great strategic significance for narrowing the differences in raising economy among regions. In recent years, the impact of big data on economic analysis has become more and more obvious, and this fact has attracted the attention of the academic community. Big data are a new strategic resource and a tool for assessing economic trends. Adding big data technology to the research on the convergence raise of economics can predict the law of data changes, reduce data errors, optimize research results, and provide a more scientific basis for the coordinated development of regional economies. Based on big data theory and technology, this paper uses a spatial econometric model to empirically analyze the convergence of regional economic growth and its influencing factors. The experimental results show that the research on the convergence mechanism and spatial relationship of economic growth in the context of big data can improve the accuracy of the convergence analysis of economic growth to a certain extent. Through modeling analysis, the accuracy of economic convergence is improved by 4.1%. The utilization of big data in a trend of economic development makes the analysis results more reasonable and has greater reference value.

Application of three-dimensional laser measurement technology in dynamic monitoring of mine geological environment

“…In this case, there will be some errors in mountain survey, and the accuracy of the data cannot reach the extreme. Because of the inaccuracy of data, many mines often need to carry out multiple measurements or field work, which will greatly increase the actual cost of mining and reduce the mining efficiency [3]. At the same time, because of the inaccuracy of the measurement data, it usually directly affects the record of the mine environment, resulting in ineffective dynamic monitoring of the mine resources and geological environment.…”

Convergence économique au sein de l’espace ouest-africain: L’intégration économique régionale à l’épreuve des faits

“…La problématique de l ' article centrée sur la détermination de la convergence (ou divergence) de ces États au regard de leurs longues expériences d ' intégration économique régionale, justifie amplement le recours aux modèles de bêta et de sigma convergence. L ' approche spatiale visant à prendre en compte la proximité des pays dans cette étude est adaptée pour appréhender la dynamique de la régionalisation des échanges puisque les résultats obtenus à travers ces modèles sont en défaveur de la convergence des économies ouest-africaines et conduisent, donc, à utiliser le modèle de clubs de convergence au sens de Phillips et Sul (2009), Du (2017), Mendez (2020) et Jin et al (2022.…”

“…Aussi, le fait que le R-carré ajusté soit négatif 9 suppose que la prise 7 Pour vérifier la convergence ou non de pays, on peut utiliser soit des données en coupe transversale, en coupe longitudinale ou en panel (Fuss, 1999). Se référer aussi à (Jin et al, 2022).…”