Does computer usage change farmers’ production and consumption? Evidence from China

Purpose: The purpose of this paper is to explore the impact of using computers to obtain information on the farm household’s production and consumption based on a field survey of farm households in the northern China. Design/methodology/approach: The most important methods applied are instrumental v...

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Bibliographic Details
Main Authors: Hou, J. (Author), Huo, X. (Author), Yin, R. (Author)
Format: Article
Language:English
Published: Emerald Group Holdings Ltd. 2019
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Online Access:View Fulltext in Publisher
Description
Summary:Purpose: The purpose of this paper is to explore the impact of using computers to obtain information on the farm household’s production and consumption based on a field survey of farm households in the northern China. Design/methodology/approach: The most important methods applied are instrumental variable (IV) method and propensity score matching (PSM) method. Estimators of IV, PSM and nearest neighborhood matching approaches are considered together to check the robustness of empirical results. Findings: This paper careful impact evaluation results suggest that the use of computer not only improves the size of arable land rented in but also reduces family labor input intensity and the probability of selling agricultural outputs at farm-gate markets. Moreover, it also stimulates transportation, garment, housing and insurance expenditures per capita. Research limitations/implications: The database of this research comprises cross-section data, which does not support a cross-time comparison. Practical implications: These results imply that it is vital to expand the coverage of computer use in rural areas. This may suggest that the importance of improving computer access is crucial for stimulating rural consumption increase. Furthermore, the need for the expansion of internet network coverage in western areas is also of importance. Originality/value: First, the authors directly estimate computer usage impacts on a broader range of production and consumption indicators by including land-relative investments, variable investments, labor input and household’s expenditure and provide rigorous impact evaluations on the impact of access to computer. Second, the authors use IV and PSM methods to correct self-selection bias, going beyond the single equation approach in other studies. This enables us to identify the causal relationship between computer usage and farmer’s production and consumption decisions. © 2018, Emerald Publishing Limited.
ISBN:1756137X (ISSN)
DOI:10.1108/CAER-09-2016-0149