2021
DOI: 10.3390/land10101023
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Toward Cleaner Production: Can Mobile Phone Technology Help Reduce Inorganic Fertilizer Application? Evidence Using a National Level Dataset

Abstract: Increasing agricultural production and optimizing inorganic fertilizer (IF) use are imperative for agricultural and environmental sustainability. Mobile phone usage (MPU) has the potential to reduce IF application while ensuring environmental and agricultural sustainability goals. The main objectives of this study were to assess MPU, mobile phone promotion policy, and whether the mediation role of human capital can help reduce IF use. This study used baseline regression analysis and propensity score matching, … Show more

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Cited by 18 publications
(5 citation statements)
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References 84 publications
(111 reference statements)
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“…The DID matching technique is another estimator that can produce consistent and unbiased estimates for selection bias. Although the DID technique is only appropriate for surveys using panel data [11,66], these data have not been utilized in existing research. In order to overwhelm the limitations of the above methods, we applied the PSM technique suggested by Rosenbaum and Rubin [67] to solve the selection bias issue in cross-sectional data sets.…”
Section: Modeling the Adoption Decision And Influencing Problemsmentioning
confidence: 99%
“…The DID matching technique is another estimator that can produce consistent and unbiased estimates for selection bias. Although the DID technique is only appropriate for surveys using panel data [11,66], these data have not been utilized in existing research. In order to overwhelm the limitations of the above methods, we applied the PSM technique suggested by Rosenbaum and Rubin [67] to solve the selection bias issue in cross-sectional data sets.…”
Section: Modeling the Adoption Decision And Influencing Problemsmentioning
confidence: 99%
“…Hypothesis 1 is proved. The research conducted by Khan et al (2021) using a sample of a national dataset from 7987 rural households in Afghanistan supports this conclusion, further illustrating the generality of Hypothesis 1. In the whole industrial chain of agricultural production, processing, packaging, warehousing, transportation and sales, digitalization accurately serves the decision-making behavior of production entities through intelligent perception, analysis and control systems, to reduce chemical input, energy consumption and waste of land resource, and ultimately drive low-carbon agricultural production.…”
Section: Benchmark Regression Results Analysismentioning
confidence: 56%
“…By controlling the heterogeneity of the two groups, the treatment group and the control group after the base period matching are closer to the natural experiment, so as to ensure that the DID method meets the parallel trend assumption to a certain extent. The PSM-DID regression approach can be applied for causal inferences to counter selection bias or confounding (36), and is widely used in academic research (35,(37)(38)(39)(40).…”
Section: Psm-didmentioning
confidence: 99%