ICT adoption and income diversification among rural households in China

Leng, Chenxin; Ma, Wanglin; Tang, Jianjun; Zhu, Zhongkun

doi:10.1080/00036846.2020.1715338

Cited by 135 publications

(114 citation statements)

References 39 publications

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“…2019; Goldfarb and Prince 2008; Khanal et al . 2015; Leng et al 2020; Ma et al . 2020a, 2020b; Martínez‐Domínguez and Mora‐Rivera, 2020; Mishra et al .…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

“…The impact of farm size on the Internet use does not reach consensus. For example, Ma et al (2018b) showed that farm size has a positive and significant impact on Internet use via smartphones, while Leng et al (2020) found that farm size negatively affects Internet use via ICTs such as computers and smartphones. Thus, we do not assign any a priori sign expectation for the farm size variable in our analysis.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

“…Definition and descriptive statistics of 10 SAPs adopted by rural households Sample distribution for the number of SAPs adopted. [Colour figure can be viewed at wileyonlinelibrary.com] et al 2015;Leng et al 2020;Ma et al 2020aMa et al , 2020b; Mart ınez-Dom ınguez and Mora-Rivera, 2020;Mishra et al 2009;Penard et al 2015;P enard et al 2013;Salim et al 2016). In particular, we include age, gender, education, family size, farm size, membership, remittance, asset ownership, environmental perception, logistic service, distance to market and the location variables as the control variables.The existing literature justifies the inclusion of the control variables.…”

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confidence: 99%

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Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China

Wang

2020

Aus J Agri & Res Econ

Self Cite

119

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Relatively little is known about the association between Internet use and environmentally-friendly agricultural innovation adoption. To fill this void, this study examines the impact of Internet use on the adoption of sustainable agricultural practices (SAPs) and their heterogeneous effects on farm income and household income. Unlike previous studies that analyse the dichotomous decision of agricultural innovation adoption, this study captures the number of SAPs adopted. We apply both endogenous-treatment Poisson regression model and unconditional quantile regression model to analyse unique farm-level data collected from China. The empirical results show that Internet use exerts a positive and statistically significant impact on the number of SAPs adopted, and the joint effects of Internet use and SAP adoption on farm income and household income are heterogeneous. In particular, we show that Internet use has a larger impact at the upper tail of household income but it has no significant impact on farm income. SAP adoption is negatively associated with farm income and household income across the selected quantiles.

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“…2019; Goldfarb and Prince 2008; Khanal et al . 2015; Leng et al 2020; Ma et al . 2020a, 2020b; Martínez‐Domínguez and Mora‐Rivera, 2020; Mishra et al .…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

Section: Descriptive Statisticsmentioning

confidence: 99%

mentioning

confidence: 99%

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Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China

Wang

2020

Aus J Agri & Res Econ

Self Cite

119

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“…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). Based on the analysis of China's provincial panel data, Han and Zhang (2017) pointed out that the popularization of Internet could narrow the urban–rural income gap, while Cheng and Zhang (2019) believed that Internet popularization tended to widen the urban–rural income gap at the first stage and then to narrow the gap, presenting an inverted‐U trend.…”

Section: Literature Reviewmentioning

confidence: 99%

E‐commerce development and urban‐rural income gap: Evidence from Zhejiang Province, China

Zeng

et al. 2021

Papers in Regional Science

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This study aims to reveal how e‐commerce affects the income gap between urban and rural areas in the context of developing world. An empirical examination was carried out by using the panel data of 11 cities in Zhejiang Province, China, from 2011 to 2018. The results show that there is an inverted‐U relationship between e‐commerce development and urban–rural income gap. Zhejiang is still on the left side of the inverted‐U curve, where e‐commerce development increases the urban–rural income gap. The government should create more favorable conditions for the popularization of rural e‐commerce and advance the turning point.

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“…TAM and Theory Reason Action was used to analyse the adoption of ICT into teaching based on gender differences in Malaysia (Lim et al 2019). UTAUT and TAM was used to identify the determinants of the adoption of mobile learning systems among university students in Indonesia (Pramana 2018) as well as to analyse the factors that have an impact on the students' intentions and adoption of m-learning in the higher education institutions of Jordan (Al-Adwan et al 2018).nThe treatment effects (TE) model was employed to assess the impact of ICT adoption on income diversification of rural households in China (Leng et al 2020). The adoption of cloud computing based learning resources in underfunded, rural high schools of mainland China was analysed in (Wang and Wong 2019).…”

Section: Overview Of Related Workmentioning

confidence: 99%

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

et al. 2020

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The purpose of this study is to identify the factors that can impact the adoption of mobile apps for teaching-learning process focusing on the girls' school in rural India. The hypotheses were proposed and a conceptual model has been developed. There is a survey work conducted to collect the data from different respondents using a convenience sampling method. The model has been validated statistically through PLS-SEM analysis covering feedbacks of 271 effective respondents. The study highlights the impact of different antecedents of the behavioural intention of the students of using mobile applications for teaching-learning process. The results also show that among other issues, price value has insignificant influence on the intention of the girl students of the rural India. During survey feedbacks have been obtained from the 271 respondents, which is meagre compared to vastness of the population and school of rural India. Only few predictors have been considered leaving possibilities of inclusion of other boundary conditions to enhance the explanative power more than that has been achieved in the proposed model with the explanative power of 81%. The model has provided laudable inputs to the educational policy makers and technology enablers and administrators to understand the impact of the mobile applications on the rural girls' school of India and facilitate the development of m-learning. Very few studies been conducted to explore the impact of mobile applications on the school education of rural India especially focusing on the girls' schools.

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ICT adoption and income diversification among rural households in China

Cited by 135 publications

References 39 publications

Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China

Internet Use, Sustainable Agricultural Practices and Rural Incomes: Evidence from China

E‐commerce development and urban‐rural income gap: Evidence from Zhejiang Province, China

Adoption of mobile applications for teaching-learning process in rural girls’ schools in India: an empirical study

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