Research on planting industrial efficiency based on poverty identification and targeted assistance: Evidence from farmers' household micro-data

Wang, Gang; Li, Heping; Hong, Huikun; Chen, Yiming; Li, Tao

doi:10.31497/zrzyxb.20200515

Cited by 1 publication

(1 citation statement)

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“…Eventually, relevant research results have extended to the performance of industrial poverty alleviation. Existing research has focused on the precision efficiency of industrial poverty alleviation (Yang & Zhang, 2018), the performance of industrial poverty alleviation models (Zeng & Niu, 2019; Zhou & Hu, 2019), the efficiency of specific categories of poverty alleviation industries (Gang et al., 2020; Yang et al., 2020), and the impact of industrial poverty alleviation on farmers' livelihood strategies and household income, along with other aspects. The research methods were mainly based on the data envelopment analysis model (Cheng et al., 2020; Wang & Li, 2019).…”

Section: Introductionmentioning

confidence: 99%

Spatial differentiation and factors influencing the benefits of industrial poverty alleviation in villages

Chen

Wang

et al. 2022

Growth and Change

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Industrial poverty alleviation is one of the most important aspects of targeted poverty alleviation. Identifying the mechanism influencing the spatial differentiation of the benefits of industrial poverty alleviation plays an essential role in optimising an industrial layout for poverty alleviation, consolidating poverty alleviation achievements, and revitalising rural industries. This study examined the spatial distribution characteristics and influencing factors of the benefits of industrial poverty alleviation at the village level using the household data collected from Jiangjin District, Chongqing, China. The results show that the benefits of industrial poverty alleviation presented obvious spatial differentiation in the villages with the overall performance being high in the north and low in the south and decreasing from the south of the county to the north and south. Spatially, there was a significant positively correlated agglomeration effect. High‐value agglomeration areas were concentrated in the north with the characteristics of ‘one centre and two subcentres’. However, low‐value and outlier agglomeration effects were not obvious, presenting sporadic distribution. Seven major factors affect industrial poverty alleviation in Jiangjin District, including average altitude and land transfer rate. The interaction between any two of the seven factors has a more significant impact than that of a single factor.

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Section: Introductionmentioning

confidence: 99%