Impact of Internet use on economic well‐being of rural households: Evidence from China

Ma, Wanglin; Wang, Youfa; Zhang, Pei; Renwick, Alan

doi:10.1111/rode.12645

Cited by 149 publications

(132 citation statements)

References 40 publications

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“…2015; Leng et al 2020; Ma et al . 2020a, 2020b; Martínez‐Domínguez and Mora‐Rivera, 2020; Mishra et al . 2009; Penard et al .…”

Section: Data and 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

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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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“…2015; Leng et al 2020; Ma et al . 2020a, 2020b; Martínez‐Domínguez and Mora‐Rivera, 2020; Mishra et al . 2009; Penard et al .…”

Section: Data and Descriptive Statisticsmentioning

confidence: 99%

mentioning

confidence: 99%

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

Wang

2020

Aus J Agri & Res Econ

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119

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“…It is not implausible that the CQR model overestimates the effects of farm machinery use and other explanatory variables on maize yields. The quantiles in the CQR model are defined conditional on the employed covariates, and it is impossible for the CQR model to freely add or delete control variables without redefining the quantiles (Firpo et al 2009;Mishra et al, 2015;Ma et al 2020). Therefore, the UQR model provides more convincing results.…”

Section: Impacts Of Farm Machinery Use On Maize Yieldsmentioning

confidence: 99%

“…2015; Ma et al . 2019, 2020). Given that the UQR model enables to overcome the weakness of the CQR model, and it provides a better estimate, the UQR model is used in the present study.…”

Section: Theoretical Framework and Econometric Approachmentioning

confidence: 99%

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Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity

Zhou

et al. 2020

Aus J Agri & Res Econ

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Crop production in developing and emerging countries is increasingly dependent on the usage of farm machinery. However, it remains unclear whether low-productive and high-productive farmers benefit equally from farm machinery use. To address the research gap, this study examines the potential heterogeneous effects of farm machinery use on maize yields, using an unconditional quantile regression model and survey data from China. We employ a control function approach to address the selection bias issue associated with farm machinery use. The empirical results show that the use of farm machinery significant increases maize yields for all the selected quantiles (except for the 80th quantile); the low-productive farmers tend to benefit more from farm machinery use relative to their high-productive counterparts; and farm machinery use reduces the inequality and variability of maize yields.

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Impact of rural households' digital ability on their production efficiency in China

Kojima

et al. 2023

Agribusiness

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Rural digitalization has become a key part of modernization in China. However, this rural digitalization follows a top‐down approach, from government guidance to private construction. Rural households' digital abilities have not received sufficient attention. This study explores rural households' digital abilities and their impact on production efficiency. One thousand eight hundred and seventy households are grouped into digital households (who have access to both digital and traditional channels) and traditional households (who only access traditional channels) based on their access to information channels for comparative analysis. The two‐parameter item response theory is applied to measure digital ability; stochastic frontier models are constructed to test the impact of digital ability on production efficiency; and a stochastic meta‐frontier approach is used to compare the efficiency between groups. The results indicate that: (1) digital households have stronger digital abilities than traditional households. (2) Digital ability is positively correlated with production efficiency. This effect is most evident among traditional households, followed by social households (digital households who use more social channels than nonsocial channels), and finally, nonsocial households (digital households who use more nonsocial channels). (3) Human capital (education, health, and skills) of laborers, off‐farm work, and village internet infrastructure all promote efficiency significantly. Research findings can help policymakers formulate targeted interventions to improve rural households' livelihoods.

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Impact of Internet use on economic well‐being of rural households: Evidence from China

Cited by 149 publications

References 40 publications

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

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

Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity

Impact of rural households' digital ability on their production efficiency in China

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