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

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Listed:
  • Yong Chen
  • Gordana Dobrijević

  • Duo Li

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

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Handle: RePEc:sng:ejae01:242
DOI: 10.5937/EJAE23-61114
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