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Impact of new urbanization on agricultural green productivity under the threshold of digital financial inclusion
ZHANG Jing-wei, LI Jing-suo
HUBEI AGRICULTURAL SCIENCES 2024, 63 (
3
): 80-86. DOI: 10.14088/j.cnki.issn0439-8114.2024.03.013
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Based on the panel data of 30 provinces from 2011 to 2018, the superefficiency SBM model was used to estimate the agricultural green productivity of each province. On this basis, the impact of new urbanization on agricultural green productivity and the role of digital inclusive finance were studied. The results showed that new-type urbanization could promote the improvement of agricultural green productivity. Among them, the promotion effect of the eastern region was greater than that of the central and western region; with the improvement of agricultural green productivity, the promotion role of new-type urbanization first increased and then gradually slowed down; taking digital inclusive finance as the threshold variable, there was a single threshold for the impact of new urbanization on agricultural green productivity, and after the threshold value was exceeded, the impact of new urbanization gradually increased. The coupling effect test found that the change trend of the coupling coordination degree between new urbanization and digital inclusive finance was basically consistent with the change of agricultural green productivity, which confirmed that there was a threshold effect of digital inclusive finance between new urbanization and agricultural green productivity.
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Analysis on the regional differences of urbanization development in Xinjiang
ABULIMITI Maliyamuguli, YANG Sheng-tian, MAIMAITI Bumairiyemu
HUBEI AGRICULTURAL SCIENCES 2024, 63 (
3
): 87-96. DOI: 10.14088/j.cnki.issn0439-8114.2024.03.014
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Based on the entropy method, correlation coefficient and grey correlation analysis, SPSS, Matlab, and ArcGIS software were used to analyze the distribution and driving mechanism of regional differences in the level of population development level (PDL) and comprehensive urbanization development level (CUDL) at the prefectural and county scale in Xinjiang. The results showed that the CUDL of urbanization in Xinjiang was increasing. The northern and eastern Xinjiang showed an agglomeration-type growth, and the southern Xinjiang showed a decentralized slow growth trend. The overall trend was high in the north and low in the south. Some southern border counties were still underdeveloped; Xinjiang’s PDL and CUDL had changed significantly around 2006. The CUDL of Xinjiang showed a steady increase in 2010; there was a strong correlation between PDL and CUDL in Xinjiang, and the correlation degree between each subsystem and the score of urbanization level in Xinjiang was as follows: Economic urbanization > population urbanization > spatial urbanization > social urbanization.
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