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Published in: Electronic Commerce Research 2/2023

21-04-2021

Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator

Authors: Hongyun Zheng, Wanglin Ma

Published in: Electronic Commerce Research | Issue 2/2023

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Abstract

This study examines the impact of smartphone-based information acquisition on crop yields, net returns, return on investment (ROI), and production costs, using survey data collected from 558 wheat farmers in rural China. We employ a double-robust inverse probability weighted regression adjustment estimator to address the potential selection bias issue. The results reveal that information acquisition via smartphones significantly increases wheat yields, net returns, and ROI by 7%, 31%, and 39%, respectively, and it has a negative but insignificant impact on production costs. These results largely echo the results estimated from propensity score matching and endogenous switching regression models. In general, our findings suggest that policy interventions targeting to boost farm economic performance should consider distributing agricultural production and marketing information via smartphones.

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Appendix
Available only for authorised users
Footnotes
1
Ideally, smartphone-based information acquisition is expected to reduce production costs. It is worth to mention here that smartphone-based information acquisition might increase production costs if it induces farmers to use expensive inputs such as drought-tolerant wheat varieties, organic fertilizers and green pesticides.
 
2
As rightly pointed by an anonymous reviewer, the crop price might have no variations if the marketing price of crops for the whole market is fixed at a certain time. Therefore, the crop price is discussed in Sect. 2.1 in consideration of the theoretical framework generalization, but it is not considered as an outcome variable in our empirical analysis.
 
3
Although IPWRA estimator has advantages over PSM model, RA estimator, and IPW estimator, it cannot fully address the selection bias. In fact, IPWRA estimator only mitigates selection bias arising from observed factors [51, 65].
 
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Metadata
Title
Smartphone-based information acquisition and wheat farm performance: insights from a doubly robust IPWRA estimator
Authors
Hongyun Zheng
Wanglin Ma
Publication date
21-04-2021
Publisher
Springer US
Published in
Electronic Commerce Research / Issue 2/2023
Print ISSN: 1389-5753
Electronic ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-021-09481-0

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