Environmental Behavior Spillover or Public Information Induction: Consumers' Intention to Pay a Premium for Rice Grown with Green Manure as Crop Fertilizer

What determines how green crop farming can get? Spatial factors or green awareness spillovers

This study intends to examine if traditional local factors (seasonal weather conditions) and/or green awareness spillovers contribute to the spatial dependency of farmland allocated to organic farming after its uptake in Taiwan. To investigate the push and pull factors to improve the policy targeting on environmentally-friendly farming practices, we assess spatial autocorrelation of the adoption intensity of organic farming with exploratory analysis, and expand that by exploring how explanatory factors affect the adoption intensity using a spatial Tobit regression analysis, taking into consideration that the adoption intensity is a typical example of censored data. Based on township-level data of 323 townships constructed from 213,534 rice farm households drawn from the 2015 Agriculture Census, we find high-high clusters (hot spots) are mostly in the northern and the eastern parts of Taiwan, whereas the majority of low-low clusters (cold spots) locate in central and southern Taiwan. Such spatial aspects of organic adoption intensity suggest that a spatially targeted program in promoting environmental awareness is pertinent to fostering the development of organic agriculture. The results from the spatial lag Tobit regression estimation provide empirical evidence supporting the role of local weather conditions and green awareness spillovers in explaining the spatial patterns of organic agriculture in Taiwan. In light of the stylized fact that the majority of the rice farm households in Taiwan are small with 84% having farmland areas less than 1 ha, the findings provide practical references to policy practitioners in tailoring farm programs or policies in line with the notion of inclusive and sustainable development.

The influence of smartphone use on conservation agricultural practice: Evidence from the extension of rice-green manure rotation system in China

Although the impact of smartphone use has aroused widespread public interest, its effect on promoting conservation agriculture has never been revealed. We developed an integrated model to explain the scientific question of how smartphone use influence farmers' behavior of adopting a conservation agricultural practice-rice-green manure rotation system (RGRS). Based on a sample set containing 934 respondents, the causal chain was estimated by using the PLS-SEM with bootstrapping. The results showed that smartphone use directly contributes to farmers' RGRS adoption behavior, which provides new evidence for promoting the popularization of intelligent terminals in rural China. Another finding was that, perceived environmental degradation threats and environmental services of RGRS mediated the relationship between smartphone use and farmers' adoption behavior. This discovery provides us with enlightenment that knowledge related to environmental degradation and environmental services of RGRS can be imported into smartphone Apps commonly used by farmers to increase information exposure, raise environmental awareness and regulate farmer behavior. Besides, smartphone use reduced farmers' satisfaction with governmental support for RGRS, which adversely affected farmers' RGRS adoption behavior. Surprisingly, we found that the use of some traditional media helped to improve farmers' satisfaction. Therefore, policymakers should not ignore the role of traditional media while making use of smartphone-based information tools. These results can help policymakers better understand the contribution of smartphone use to conservation agriculture, and inform the development of supportive policies.