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Assessment of Rural Industry Integration Development, Spatiotemporal Evolution Characteristics, and Regional Disparities in Ethnic Regions: A Case Study of Inner Mongolia Autonomous Region Counties

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  • Jinghui Bao

    (School of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China
    School of Economics, Inner Mongolia Minzu University, Tongliao 028000, China
    Inner Mongolia Institute for Rural Development, Hohhot 010018, China)

  • Changbai Xiu

    (School of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China
    Inner Mongolia Institute for Rural Development, Hohhot 010018, China)

  • Yuchun Liu

    (School of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China)

  • Jie Li

    (School of Economics and Management, Inner Mongolia Agricultural University, Hohhot 010018, China)

Abstract

Ethnic regions in China primarily focus on the development of agricultural and animal husbandry economies, which are relatively underdeveloped. Rural industry integration development (RIID) is considered the foundation and guarantee for ethnic regions to achieve high-quality modernization of agriculture. The purpose of this article is to measure the level of rural industrial integration in ethnic minority areas, analyze the spatial evolution and regional differences, and explore the actual situation of RIID in these regions. The aim is to provide a decision-making basis for local governments to effectively promote the development of rural industrial integration. Based on the improvement of the evaluation index system for rural industrial integration development, this paper takes the counties of the Inner Mongolia Autonomous Region as the research area. Utilizing panel data from the statistical yearbooks of 68 banners and counties in Inner Mongolia from 2011 to 2020, the panel entropy weight TOPSIS method is employed to assess the average level of rural industrial integration in the research area. The ArcGIS natural breakpoint method is employed to classify the level of RIID in county areas. Exploratory Spatial Data Analysis (ESDA) and GeoDa are utilized to analyze the spatial distribution characteristics of RIID. Finally, the Theil index is employed to analyze the regional differences in the level of RIID. The results show the following: (1) The overall level of RIID in ethnic regions is relatively low, with the contributions of the four dimensions in the evaluation index system as follows: integration path > integration foundation > integration sustainability > integration effect. The level of RIID in the study area is as follows: western region > eastern region > central region. (2) Spatially, there are positive correlations and significant spatial clustering in the level of RIID, with the spatial clustering effect of RIID weakening. (3) There are regional differences in the level of RIID, which are expanding. The inter-regional differences are decreasing, while the intra-regional differences are increasing. (4) The construction of agricultural processing facilities, financial investment, financial support, and talent policies are important influencing factors for the current stage of RIID in ethnic regions. Therefore, in the low-level development stage of RIID in ethnic regions, it is necessary to fully utilize the advantages of resource endowment, increase investment in rural infrastructure, and strengthen the guidance of talent flow into rural revitalization construction.

Suggested Citation

  • Jinghui Bao & Changbai Xiu & Yuchun Liu & Jie Li, 2024. "Assessment of Rural Industry Integration Development, Spatiotemporal Evolution Characteristics, and Regional Disparities in Ethnic Regions: A Case Study of Inner Mongolia Autonomous Region Counties," Sustainability, MDPI, vol. 16(15), pages 1-29, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:15:p:6304-:d:1441258
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    2. Yuqing Geng & Yan Yan & Qinjun Xiang & Naiguang Zhang & Xinlei Yang & Xinying Jiang, 2025. "Achieving sustainable development goals: coupling coordination between agricultural industrialization and rural infrastructure with the case of China," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-28, December.

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