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Jie Liu, Zhengyin Li and Xiangdong Hu
Amidst China?s economic transition towards high-quality development, the latent potential of the rural consumer market has been significantly unlocked, rendering the evolution of rural household consumption patterns a pivotal area of research. In this pa...
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Fang Wang, Jingyi Mao, Yafu Liu and Qihua Cai
The livelihood capital of rural households is an essential basis for their selection of livelihood strategy. This paper uses rural household data from the 2018 CFPS to construct a ?hexagonal? framework for the analysis of livelihood capital. Natural capi...
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Yue Wang, Feilong Weng and Xuexi Huo
As a product of the deep integration of digital technology and financial services, digital finance provides vital financial support for rural revitalization and increasing farmers? income. Based on the survey data of 1030 professional apple growers in th...
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Eliana Wulandari, Tuti Karyani, Ernah and Raden Trizaldi Prima Alamsyah
Financial recording is still difficult due to the limited knowledge of farmers, whereas financial recordings are crucial for producing important reports for business development. This study aims to analyze the factors related to farmers? activity in reco...
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Yan Liu, Ya Deng and Binyao Peng
Under the ?two-carbon? goal, the green and low-carbon development of agriculture is a critical way to consummate agricultural modernization and high-quality economic establishment. Digital inclusive finance eases credit restrictions. It enhances the avai...
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Chengkai Zhang, Yu Li, Lili Yang and Zheng Wang
The degree of the effect of digital inclusive finance on the construction of China?s digital villages and the mechanism of action is investigated in this study by matching the digital inclusive finance index in accordance with a data sample of China?s pr...
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Tiago P. Pagano, Rafael B. Loureiro, Fernanda V. N. Lisboa, Rodrigo M. Peixoto, Guilherme A. S. Guimarães, Gustavo O. R. Cruz, Maira M. Araujo, Lucas L. Santos, Marco A. S. Cruz, Ewerton L. S. Oliveira, Ingrid Winkler and Erick G. S. Nascimento
One of the difficulties of artificial intelligence is to ensure that model decisions are fair and free of bias. In research, datasets, metrics, techniques, and tools are applied to detect and mitigate algorithmic unfairness and bias. This study examines ...
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Lilla Korenová, Petr Gurný, Jozef Hvorecký, Petr Lu?ek and Petr Rozehnal
Virtual reality environments (VRE) allow users to visualize both real-life and imaginary activities. For this reason, they make appropriate training fields at universities, too. However, the positive or negative effects of VRE are still a subject of rese...
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Santiago Criollo-C, Andrea Guerrero-Arias, Jack Vidal, Ángel Jaramillo-Alcazar and Sergio Luján-Mora
The main objective of this research is a working example of how a hybrid methodology combining traditional methodologies and mobile devices can be used to contribute to the literature on mobile learning in teaching English as a second language. This work...
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Monia Hamdi, Inès Hilali-Jaghdam, Manal M. Khayyat, Bushra M. E. Elnaim, Sayed Abdel-Khalek and Romany F. Mansour
Data mining (DM) involves the process of identifying patterns, correlation, and anomalies existing in massive datasets. The applicability of DM includes several areas such as education, healthcare, business, and finance. Educational Data Mining (EDM) is ...
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