Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China
Strengthening Agricultural Economic Resilience (AER) has become a crucial approach to ensuring food security and promoting sustainable social development, particularly in light of supply shocks such as limited resources, environmental pressures, stagnating agricultural profitability, and diminishing...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1437018/full |
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| author | Xiaoyu Chen Haohan Wang Xingyuan Zhu Xiao Zhang |
| author_facet | Xiaoyu Chen Haohan Wang Xingyuan Zhu Xiao Zhang |
| author_sort | Xiaoyu Chen |
| collection | DOAJ |
| description | Strengthening Agricultural Economic Resilience (AER) has become a crucial approach to ensuring food security and promoting sustainable social development, particularly in light of supply shocks such as limited resources, environmental pressures, stagnating agricultural profitability, and diminishing demographic advantages. This study examines AER across 31 Chinese provinces from 2008 to 2020, analyzing its temporal evolution and spatial distribution characteristics. Additionally, it assesses the spatial spillover effects of key driving factors using the Spatial Durbin Model (SDM). The results indicate that China’s average AER rose from 0.167 to 0.266 during the study period, showing a marked upward trend and a gradual reduction in regional disparities. Furthermore, AER exhibits a strong positive spatial correlation, with higher concentrations in the eastern and central regions, while the northeastern and western areas show lower levels. Key factors such as market scale, agricultural GDP, agricultural inputs, research and development, environmental conditions, and urbanization all shape AER. The influence of these factors on regional AER highlights the presence of spatial spillover effects. Notably, the regression coefficient for urbanization on AER is −0.001, significant at the 5% level, indicating a negative spillover effect. In contrast, Market Scale, Agriculture GDP, Agricultural Factor Inputs, and Environmental factors exhibit significant positive spillover effects, all at 5%. The positive spillover effects of other driving factors are not significant. Furthermore, these findings provide practical knowledge for policy adjustments and enhancing interregional coordination to boost AER. |
| format | Article |
| id | doaj-art-759bc233edb1416690dc699eeb43d2aa |
| institution | Kabale University |
| issn | 2296-665X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj-art-759bc233edb1416690dc699eeb43d2aa2025-01-31T06:40:02ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2025-01-011310.3389/fenvs.2025.14370181437018Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in ChinaXiaoyu Chen0Haohan Wang1Xingyuan Zhu2Xiao Zhang3School of Business, Ningbo University, Ningbo, ChinaCollege of International Economics and Trade, Ningbo University of Finance and Economics, Ningbo, ChinaCollege of International Economics and Trade, Ningbo University of Finance and Economics, Ningbo, ChinaSchool of Business, Zhejiang Wanli University, Ningbo, ChinaStrengthening Agricultural Economic Resilience (AER) has become a crucial approach to ensuring food security and promoting sustainable social development, particularly in light of supply shocks such as limited resources, environmental pressures, stagnating agricultural profitability, and diminishing demographic advantages. This study examines AER across 31 Chinese provinces from 2008 to 2020, analyzing its temporal evolution and spatial distribution characteristics. Additionally, it assesses the spatial spillover effects of key driving factors using the Spatial Durbin Model (SDM). The results indicate that China’s average AER rose from 0.167 to 0.266 during the study period, showing a marked upward trend and a gradual reduction in regional disparities. Furthermore, AER exhibits a strong positive spatial correlation, with higher concentrations in the eastern and central regions, while the northeastern and western areas show lower levels. Key factors such as market scale, agricultural GDP, agricultural inputs, research and development, environmental conditions, and urbanization all shape AER. The influence of these factors on regional AER highlights the presence of spatial spillover effects. Notably, the regression coefficient for urbanization on AER is −0.001, significant at the 5% level, indicating a negative spillover effect. In contrast, Market Scale, Agriculture GDP, Agricultural Factor Inputs, and Environmental factors exhibit significant positive spillover effects, all at 5%. The positive spillover effects of other driving factors are not significant. Furthermore, these findings provide practical knowledge for policy adjustments and enhancing interregional coordination to boost AER.https://www.frontiersin.org/articles/10.3389/fenvs.2025.1437018/fullagricultural economic resiliencespatial-temporal characteristicsdriving factorsspatial spillover effectssustainable agricultural development |
| spellingShingle | Xiaoyu Chen Haohan Wang Xingyuan Zhu Xiao Zhang Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China Frontiers in Environmental Science agricultural economic resilience spatial-temporal characteristics driving factors spatial spillover effects sustainable agricultural development |
| title | Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China |
| title_full | Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China |
| title_fullStr | Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China |
| title_full_unstemmed | Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China |
| title_short | Spatial-temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors: evidence from provincial panel data in China |
| title_sort | spatial temporal characteristics of agricultural economic resilience and spatial spillover effects of driving factors evidence from provincial panel data in china |
| topic | agricultural economic resilience spatial-temporal characteristics driving factors spatial spillover effects sustainable agricultural development |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1437018/full |
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