Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China DOI Creative Commons

Yingxi Chen,

Yan Xu,

Nannan Ye

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2025, Номер 14(4), С. 174 - 174

Опубликована: Апрель 17, 2025

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 driving factors of Jiangsu Province from 2001 2020. By integrating data 77 county-level units employing spatial autocorrelation analysis, multiple linear regression, mixed geographically weighted regression (MGWR), this reveals heterogeneity key non-grainization. The results indicate strong dependence, with persistent high–high clusters economically developed southern/coastal areas low–low northern regions. Furthermore, mechanism shifted significantly over two decades. Early constraints natural endowments (e.g., elevation’s positive impact weakened post 2010) individual economics diminished technological progress, while macroeconomic development became dominant, influencing both scale structure. Infrastructure improvements (reflected by rural electricity use) consistently limited non-grainization; some showed phased effects, annual mean precipitation emerged as a significant influence MGWR revealed substantial, dynamic these drivers’ impacts across different periods. These findings highlight importance geoinformation tools managing disparities. Integrating socio-economic offers practical insights policymakers develop targeted strategies that balance food security agricultural diversification.

Язык: Английский

Geospatial Analysis of Regional Disparities in Non-Grain Cultivation: Spatiotemporal Patterns and Driving Mechanisms in Jiangsu, China DOI Creative Commons

Yingxi Chen,

Yan Xu,

Nannan Ye

и другие.

ISPRS International Journal of Geo-Information, Год журнала: 2025, Номер 14(4), С. 174 - 174

Опубликована: Апрель 17, 2025

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 driving factors of Jiangsu Province from 2001 2020. By integrating data 77 county-level units employing spatial autocorrelation analysis, multiple linear regression, mixed geographically weighted regression (MGWR), this reveals heterogeneity key non-grainization. The results indicate strong dependence, with persistent high–high clusters economically developed southern/coastal areas low–low northern regions. Furthermore, mechanism shifted significantly over two decades. Early constraints natural endowments (e.g., elevation’s positive impact weakened post 2010) individual economics diminished technological progress, while macroeconomic development became dominant, influencing both scale structure. Infrastructure improvements (reflected by rural electricity use) consistently limited non-grainization; some showed phased effects, annual mean precipitation emerged as a significant influence MGWR revealed substantial, dynamic these drivers’ impacts across different periods. These findings highlight importance geoinformation tools managing disparities. Integrating socio-economic offers practical insights policymakers develop targeted strategies that balance food security agricultural diversification.

Язык: Английский

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