Unintended consequences: How does digital inclusive finance affect migrants' urban settlement intentions?

Guo, Xiaoxin; Zhong, Shihu

doi:10.1016/j.irfa.2023.102766

Cited by 10 publications

(2 citation statements)

References 54 publications

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“…The most fundamental difference between agricultural production and other industries is greatly affected by the natural environment, so we choose the degree of agricultural loss as the measurement index, and its ratio to the area of farmland is used as an index to measure agricultural loss. 3 Urbanisation. The process of civilisation and the development of society have different effects on the production and lifestyle of the countryside.…”

Section: Model Setupmentioning

confidence: 99%

“…The coefficients of the two integration development indices in model (12) and model ( 13) are −0.0249 and −0.0238, respectively, consistent with the baseline regression results. 3 Tail shrinkage. Given the impact that extremes in the data have on robustness, in this paper, we applied bilateral 2% and 5% tail shrinkage to all continuous variables to further mitigate the effect of extreme values.…”

Section: Robustness Testsmentioning

confidence: 99%

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Blessing or Curse? The Impact of Digital Technologies on Carbon Efficiency in the Agricultural Sector of China

Zhu,

Wang,

Zheng

2023

Sustainability

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Digital technology can be used to adjust the structure of energy production, promote the development of new agricultural production technologies, and reduce carbon emissions. With the increasing integration of digital technology in various fields, rural development is also entering a critical period of digital transformation. Therefore, this paper uses digital technology and agricultural carbon emission intensity as research objects. We use panel data from 2011 to 2019. We first measure and analyse the level of digital technology development in China. This article empirically tests the impact between digital technology and the intensity of agricultural carbon emissions. Digital technology can be used to significantly suppress the intensity of agricultural carbon emissions. The suppressive effect is more significant in the western region of China than in the central and eastern regions.

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Section: Model Setupmentioning

confidence: 99%

Section: Robustness Testsmentioning

confidence: 99%