Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China
Balancing regional disparities in non-grainization is vital for stable grain production and sustainable urbanization. This study employs geospatial analysis to examine the spatiotemporal patterns and driving factors of non-grainization in Jiangsu Province from 2001 to 2020. By integrating geospatial...
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MDPI AG
2025-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/14/4/174 |
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| author | Yingxi Chen Yan Xu Nannan Ye |
| author_facet | Yingxi Chen Yan Xu Nannan Ye |
| author_sort | Yingxi Chen |
| collection | DOAJ |
| description | Balancing regional disparities in non-grainization is vital for stable grain production and sustainable urbanization. This study employs geospatial analysis to examine the spatiotemporal patterns and driving factors of non-grainization in Jiangsu Province from 2001 to 2020. By integrating geospatial data from 77 county-level units and employing spatial autocorrelation analysis, multiple linear regression, and mixed geographically weighted regression (MGWR), this study reveals the spatial heterogeneity and key driving factors of non-grainization. The results indicate strong spatial dependence, with persistent high–high clusters in economically developed southern/coastal areas and low–low clusters in northern regions. Furthermore, the driving mechanism shifted significantly over the two decades. Early constraints from natural endowments (e.g., elevation’s positive impact significantly weakened post 2010) and individual economics diminished with technological progress, while macroeconomic development became dominant, influencing both scale and structure. Infrastructure improvements (reflected by rural electricity use) consistently limited non-grainization; some factors showed phased effects, and annual mean precipitation emerged as a significant influence in 2020. MGWR revealed substantial, dynamic spatial heterogeneity in these drivers’ impacts across different periods. These findings highlight the importance of geoinformation tools in managing regional disparities. Integrating spatial and socio-economic analysis offers practical insights for policymakers to develop targeted strategies that balance food security with agricultural diversification. |
| format | Article |
| id | doaj-art-506f49da259447b3b0791a4177d08e1d |
| institution | OA Journals |
| issn | 2220-9964 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-506f49da259447b3b0791a4177d08e1d2025-08-20T02:28:14ZengMDPI AGISPRS International Journal of Geo-Information2220-99642025-04-0114417410.3390/ijgi14040174Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, ChinaYingxi Chen0Yan Xu1Nannan Ye2School of Environmental Science and Engineering, Suzhou University of Science and Technology, No. 99 Xuefu Road, Huqiu District, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, No. 99 Xuefu Road, Huqiu District, Suzhou 215009, ChinaSchool of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, No. 99 Xuefu Road, Huqiu District, Suzhou 215009, ChinaBalancing regional disparities in non-grainization is vital for stable grain production and sustainable urbanization. This study employs geospatial analysis to examine the spatiotemporal patterns and driving factors of non-grainization in Jiangsu Province from 2001 to 2020. By integrating geospatial data from 77 county-level units and employing spatial autocorrelation analysis, multiple linear regression, and mixed geographically weighted regression (MGWR), this study reveals the spatial heterogeneity and key driving factors of non-grainization. The results indicate strong spatial dependence, with persistent high–high clusters in economically developed southern/coastal areas and low–low clusters in northern regions. Furthermore, the driving mechanism shifted significantly over the two decades. Early constraints from natural endowments (e.g., elevation’s positive impact significantly weakened post 2010) and individual economics diminished with technological progress, while macroeconomic development became dominant, influencing both scale and structure. Infrastructure improvements (reflected by rural electricity use) consistently limited non-grainization; some factors showed phased effects, and annual mean precipitation emerged as a significant influence in 2020. MGWR revealed substantial, dynamic spatial heterogeneity in these drivers’ impacts across different periods. These findings highlight the importance of geoinformation tools in managing regional disparities. Integrating spatial and socio-economic analysis offers practical insights for policymakers to develop targeted strategies that balance food security with agricultural diversification.https://www.mdpi.com/2220-9964/14/4/174MGWRspatial autocorrelationregional disparitiesgrain productionrural areas |
| spellingShingle | Yingxi Chen Yan Xu Nannan Ye Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China ISPRS International Journal of Geo-Information MGWR spatial autocorrelation regional disparities grain production rural areas |
| title | Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China |
| title_full | Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China |
| title_fullStr | Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China |
| title_full_unstemmed | Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China |
| title_short | Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China |
| title_sort | geospatial analysis of regional disparities in non grain cultivation spatiotemporal patterns and driving mechanisms in jiangsu china |
| topic | MGWR spatial autocorrelation regional disparities grain production rural areas |
| url | https://www.mdpi.com/2220-9964/14/4/174 |
| work_keys_str_mv | AT yingxichen geospatialanalysisofregionaldisparitiesinnongraincultivationspatiotemporalpatternsanddrivingmechanismsinjiangsuchina AT yanxu geospatialanalysisofregionaldisparitiesinnongraincultivationspatiotemporalpatternsanddrivingmechanismsinjiangsuchina AT nannanye geospatialanalysisofregionaldisparitiesinnongraincultivationspatiotemporalpatternsanddrivingmechanismsinjiangsuchina |