2018
DOI: 10.1016/j.telpol.2018.03.002
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Does computer penetration increase farmers’ income? An empirical study from China

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Cited by 84 publications
(60 citation statements)
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References 45 publications
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“…Ivus and Boland (2015) found that the Internet improved the income and employment rate of service industries in Canadian rural areas from 1997 to 2011, which was helpful to overcome the urban–rural development gap. The Internet helps to optimize the allocation of urban and rural resources and reduce the income gap between urban and rural areas (Gao, Zang, & Sun, 2018). Based on the micro‐survey of Chinese farmers, it is found that the use of Internet significantly increases farmers' income and promotes farmers' income diversification (Leng, Ma, Tang, & Zhu, 2020; Ma, Nie, Zhang, & Renwick, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Ivus and Boland (2015) found that the Internet improved the income and employment rate of service industries in Canadian rural areas from 1997 to 2011, which was helpful to overcome the urban–rural development gap. The Internet helps to optimize the allocation of urban and rural resources and reduce the income gap between urban and rural areas (Gao, Zang, & Sun, 2018). Based on the micro‐survey of Chinese farmers, it is found that the use of Internet significantly increases farmers' income and promotes farmers' income diversification (Leng, Ma, Tang, & Zhu, 2020; Ma, Nie, Zhang, & Renwick, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…At the beginning of the year, provincial governments made the plan about the internet connection, which was then implemented by the three state-owned companies. The government plans and company establishment are the primary determinants of the change of internet availability at provincial level, making the CT project an exogenous shock (Gao et al, 2018). The counties within provinces are also subject to this policy.…”
Section: The Internet and E-commerce In Chinamentioning
confidence: 99%
“…Furthermore, we use an instrumental variable and 2SLS method to identify potential causality. Following Gao et al (2018), the change of provincial internet is utilized as the instrumental variable. The test of causality and justification of the IV will be discussed in section 4.2.…”
Section: Modelsmentioning
confidence: 99%
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“…India and Burkina Faso, shows that the use of broadband Internet has a positive impact on rural income [23]. Research by Gao shows that the popularization of computers in rural areas will increase the income of rural residents over time, but its average effect is limited [24]. Xia investigated the impact of Internet diffusion on rural development [25] and Whitacre studied the influence of rural broadband diffusion on local economic growth [26].…”
Section: Plos Onementioning
confidence: 99%