Article: Digital economy based on text mining and panel vector autoregressive-green policy synergy analysis Journal: International Journal of Information and Communication Technology (IJICT) 2026 Vol.27 No.89 pp.87 - 104 Abstract: The speed at which digital technology advances and the need for low-carbon development make coordinated policies all the more relevant for sustainable development. This paper introduces a comprehensive analytical framework that merges text analysis with time series modelling to methodically examine the relationship between digital and environmental policies. By converting policy documents into quantitative indicators, a more accurate and dynamic evaluation of their efficacy becomes possible, surpassing shortcomings of conventional qualitative approaches. The research uses provincial data to analyse the long-term impacts of synchronised policy implementation on economic growth, ecological preservation, and technological progress. Better coordination leads to greater productivity, less pollution, and faster innovation, though these effects differ greatly across regions. The key transmission channels are industrial upgrading and more efficient resource use. The research offers a practical and clear method to comprehend policy interactions and improve policy design. Inderscience Publishers - linking academia, business and industry through research

Title: Digital economy based on text mining and panel vector autoregressive-green policy synergy analysis

Authors: Shuyu Jiang

Addresses: Business School, Xiamen Institute of Technology, Xiamen, 361021, China

Abstract: The speed at which digital technology advances and the need for low-carbon development make coordinated policies all the more relevant for sustainable development. This paper introduces a comprehensive analytical framework that merges text analysis with time series modelling to methodically examine the relationship between digital and environmental policies. By converting policy documents into quantitative indicators, a more accurate and dynamic evaluation of their efficacy becomes possible, surpassing shortcomings of conventional qualitative approaches. The research uses provincial data to analyse the long-term impacts of synchronised policy implementation on economic growth, ecological preservation, and technological progress. Better coordination leads to greater productivity, less pollution, and faster innovation, though these effects differ greatly across regions. The key transmission channels are industrial upgrading and more efficient resource use. The research offers a practical and clear method to comprehend policy interactions and improve policy design.

Keywords: digital development; policy coordination; text analysis; time series methods; data-based research.

DOI: 10.1504/IJICT.2026.155691

International Journal of Information and Communication Technology, 2026 Vol.27 No.89, pp.87 - 104

Received: 11 Apr 2026
Accepted: 29 May 2026
Published online: 10 Aug 2026 *

Title: Digital economy based on text mining and panel vector autoregressive-green policy synergy analysis

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