Outline

Ingegneria Sismica

Ingegneria Sismica

Data Intelligence-Driven Development Strategies for the Integration of Agriculture, Culture, and Tourism in Yijun County

Author(s): Yinning Ye1
1Xi’an FanYi University, Xi’an, Shaanxi, 710105, China
Ye, Yinning. “Data Intelligence-Driven Development Strategies for the Integration of Agriculture, Culture, and Tourism in Yijun County.” Ingegneria Sismica Volume 43 Issue 1: 1-23, doi:10.65102/is2026136.

Abstract

Agriculture, Culture and Tourism integration means the integration of agricultural production, culture’s heritage preservation roles, and tourism for recreation purpose to form a new industry. In this article, the author discusses the intelligent data mechanism of agricultural culture and tourism integration and establishes the evaluation index system for the integrated industry of agricultural culture and tourism. The study utilizes the case of Yijun County between 2015 to 2024 to illustrate how the entropy weight, coupling coordination index, and spatiotemporal development are studied. Lastly, geographical detector approach is employed to understand the influencing factors on the agriculture-culture-tourism integration. The results show a general upward development trend in Yijun County’s agricultural tourism from 2015 to 2024, while the overall coordination and coupling relationship between the two was largely unbalanced within its towns and villages. Geographically, the coordination level follows a pattern that is “weak western area, strong eastern area; high southern area, low northern area.” Absolute and relative disparities in development are declining but still obvious. In the Moran Index test, Global Moran’s I is always statistically significant at the 5% level, indicating a high positive spatial correlation.

Keywords
Integration of Agriculture, Culture, and Tourism; coupling coordination degree model; entropy method; geographic detector; spatiotemporal evolution trends

Related Articles

Huiqiao Liu1
1Yinchuan University of Energy, Ningxia, 750000, China
Xin Zhao1, Yan Li1, Xiangyang Cao1, Qiushuang Li1, Jianing Zhang1
1State Grid Shandong Electric Power Company Economic and Technological Research Institute ShanDong JiNan 250001, China
Dan Yang1
1School of Marxism, Suzhou Polytechnic University, Suzhou, 215104, China
Liuhang Shen1, Xiangwen Sun1
1Ulster college at Shaanxi University of Science &Technology, Xi’an,710021, Shaanxi, China