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Apache Tomcat

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    An empirical study on the impact of the digital economy and financial knowledge on farmers’ entrepreneurial decision-making: Based on the survey data of 1 086 households in Shaanxi Province
    LI Li, CHI Chao-nan, WANG Zhi-bin, LU Guo-min
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (3): 53-58.   DOI: 10.14088/j.cnki.issn0439-8114.2024.03.009
    Abstract210)      PDF (1468KB)(175)       Save
    Based on the data of 1 086 valid survey questionnaires in Shaanxi Province in 2021, the double column model was used to study the impact of digital economy and financial knowledge on farmers’ entrepreneurial decision-making. The results showed that digital economy and financial knowledge could not only promote farmers’ entrepreneurial intention, but also improve the investment scale of farmers’ entrepreneurship, and had a significant impact on farmers’ entrepreneurial decision-making. The total family assets could promote farmers to start businesses and increase the scale of investment, while the real estate assets would restrain farmers from starting businesses and reduce the scale of investment. The age and marital status had no significant impact on the basic decisions of farmers’entrepreneurship and their investment. Therefore, it was suggested that relevant departments should cultivate digital economy talents and popularize digital economy technology to promote the integration of traditional agriculture and digital economy, enhance the strategic position of farmers’ financial education and give priority to popularizing the financial knowledge urgently needed by farmers.
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    Can Internet use promote rural females’ non-agricultural employment under the background of digital economy
    ZHAO Lan-lan, XIA Yong
    HUBEI AGRICULTURAL SCIENCES    2024, 63 (3): 59-68.   DOI: 10.14088/j.cnki.issn0439-8114.2024.03.010
    Abstract274)      PDF (1950KB)(309)       Save
    Using the Chinese General Social Survey data in 2017, combined with empirical analysis methods such as Probit model, Random forest model and extended regression model, the impact and mechanism of Internet use on rural females’ non-agricultural employment decisions in the digital era were analyzed. The results showed that Internet use could promote non-agricultural employment of rural females, and the marginal effect was 6.8%; the higher the frequency of modern media use, the higher the probability of non-agricultural employment of rural females, especially the impact on self-employment was greater than employment; the influence of information access channel was not significant. Heterogeneity analysis showed that Internet use had a higher probability of increasing non-agricultural employment for rural females with junior middle school education level, low family care intensity and low family economic level. Internet use might affect non-agriculture employment through three channels of increasing human capital level and experience accumulation, extending social relations and improving the traditional gender perception. It showed that in the digital economy era, the use of the Internet played a positive role in the participation of rural females in non-agricultural employment, and also provided a new perspective for exploring the digital dividend under the existing labor constraints, optimizing the labor allocation of resources, and promoting the sound and rapid economic development.
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