Poverty is a common problem faced by various social and economic forms. Eliminating poverty is a major issue of common concern and research all over the world. Land policies for poverty alleviation are an effective means of affecting land agriculture development, increasing the productivity of cultivated land, and promoting growth in farmers’ income and production. In recent years, it has played an important role in promoting poverty alleviation in poverty-stricken areas. However, the poverty alleviation needs of township units have not been precisely identified, and one-size-fits-all land policies are unable to effectively allocate poverty alleviation resources. Consequently, the actual efficiency of policies has been severely restricted, leading to regional differences in poverty alleviation. In response to this bottleneck, this study takes Siyang County in Jiangsu Province as a case study and adopts the geographical detector model to diagnose and identify the spatial differentiation characteristics and dominant factors of poverty and in various townships. The results can be summarised as ‘four dominant factors of poverty—four regional types of poverty townships—four targeted land poverty alleviation patterns’. Detailed results are as follows: the dominant factors affecting differentiation of rural poverty in Siyang County are labour, technology, land resources, and financial support. The various townships of the county were thus classified into four types according to the main factor affecting poverty: labour-constrained, land-constrained, capital-constrained, and technique-constrained, and proposed four targeted land poverty alleviation patterns for the different constraint types and then to improve the effectiveness of land development policies to successfully achieve precise poverty alleviation and reinforce strategies revitalising rural communities.

中文翻译：

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基于精准识别农村贫困主导因素的土地精准扶贫模式研究——以江苏省泗阳县为例

贫困是各种社会经济形态面临的普遍问题。消除贫困是世界各国共同关心和研究的重大问题。土地扶贫政策是影响土地农业发展、提高耕地生产力、促进农民增收增产的有效手段。近年来，在促进贫困地区脱贫攻坚中发挥了重要作用。但是，乡镇单位的扶贫需求尚未精准识别，一刀切的土地政策无法有效配置扶贫资源。因此，政策的实际效率受到严重制约，导致扶贫的地区差异。针对这个瓶颈，本研究以江苏省泗阳县为例，采用地理探测器模型对贫困和各乡镇的空间分异特征和主导因素进行诊断识别。研究结果可以概括为“四大贫困主导因素——四种区域性贫困乡镇——四种土地精准扶贫模式”。具体结果如下：影响泗阳县农村贫困分化的主导因素是劳动力、技术、土地资源和资金支持。因此，根据影响贫困的主要因素，将全县各乡镇划分为四种类型：劳动力约束、土地约束、资金约束和技术约束。