A Technical Framework for Data-Driven Industrial Transformation in Northeast China

Yong Chen, Gordana Dobrijević () and Duo Li

The European Journal of Applied Economics, 2026, vol. 23, issue 1, 58-75

Abstract: This study develops a dynamic evaluation framework to analyze the interaction between digital and traditional industries in Northeast China from temporal and regional perspectives. Using a 24-year dataset (2000–2024) across five major Chinese economic regions, the framework integrates coupling coordination modeling, system dynamics, and time-series forecasting with SARIMA and LSTM models. Results indicate that digital investment and human capital development significantly enhance industrial performance, with strong positive correlations between coordination and regional growth (r = 0.89, p

Keywords: industrial transformation; SARIMA Model; LSTM Neural Networks (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:sng:ejae01:242

DOI: 10.5937/EJAE23-61114

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