Research on the Integration Path of Digital Intelligence Empowerment for Jingxing Red Cultural Tourism and Rural Revitalization

Authors

Issue:

Vol. 1 No. 1 (2025): 2025 Issue 1

Keywords:

Digital intelligence empowerment; Rural revitalization; Jingxing red cultural tourism and culture
Received: 2026-02-02
Published: 2026-04-22

Articles

How to Cite

Research on the Integration Path of Digital Intelligence Empowerment for Jingxing Red Cultural Tourism and Rural Revitalization. (2026). Economic and Scientific Research, 1(1). https://www.hwipgl.com/esr/article/view/62

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Abstract

In the context of the digital economy era, digital intelligence technologies have provided innovative pathways for the revitalization of revolutionary old districts. This study takes Jingxing County in Hebei Province as the research object, focusing on the digital integration mechanism between red cultural tourism resources and rural revitalization. Through field surveys, the research explores innovative models of digital intelligence technology empowerment for county level development. The research reveals that Jingxing County, leveraging 23 red heritage sites including the Hundred Regiments Campaign Memorial Sites, has constructed a "Digital Twin Platform for Red Resources" to achieve 3D modeling and cloud-based cultural data storage of these sites. By utilizing big data to analyze tourist behavior patterns, the county has developed an intelligent "Red Education + Ecological Agriculture" guided tour system to extend tourist stay duration. Blockchain technology has also been adopted to establish an agricultural product traceability system, driving the formation of a distinctive agricultural industrial chain across eight surrounding townships. The research proposes a "Four-Dimensional Integration" development framework: coordinated digital infrastructure and heritage preservation, intelligent cultural and tourism services, IP-oriented cultural dissemination, and platform-based industrial synergy. This exploration of a "red-green integration" model based on digital intelligence technologies addresses challenges such as seasonal fluctuations and short industrial chains in traditional red cultural tourism. It provides a replicable solution for revitalizing cultural resources and promoting industrial transformation in revolutionary old districts. This research offers valuable references for the sustainable development of similar regions and contributes theoretical and practical insights to digital rural construction.