26 pages, Agricultural productive services are an important means to achieve effective allocation of regional resources and play an important role in ensuring food security and improving farmers’ welfare. However, the development process of agricultural productive services still faces problems such as large differences in service levels in different segments and low participation rates in the full service. In order to investigate the influential paths of the low participation rate of farmers in the full-service process, this study takes maize farmers in northeast China as the research object. Based on 937 survey data from six cities in three northeastern provinces, we used the Item Response Theory (IRT) model to measure farmers’ information acquisition ability and constructed the Heckman two-stage model and the IV-Heckman model to analyze the logical framework of “information acquisition ability—farmers’ choice of productive agricultural services”. The main findings are as follows: firstly, the more channels there are, the stronger the farmers’ channel internalities; the higher the degree of channel differentiation, the stronger the farmers’ channel internalities. Second, after addressing the sample selection bias and endogeneity, there is a small rise in the facilitation effect of information acquisition ability on farmers’ productive agricultural service behavior. Third, this facilitation effect is achieved through farmers’ perceived usefulness of productive agricultural services, and the mediating effect of perceived ease of use is not significant. Therefore, fostering farmers’ self-perceptions and optimizing information delivery strategies are effective ways to promote farmers’ choice of agricultural productive services and to facilitate the modernization of Chinese agriculture. In general, this study helps to reveal the theoretical mechanism of farmers’ information asymmetry, and provides empirical evidence for how to promote the development of agricultural productive services.
16 pages, Background
Residue-based biogas is considered as a renewable energy that should be used to improve energy security and household livelihoods in rural areas. Observational learning and word-of-mouth learning are critical in the dissemination of knowledge about agricultural technologies. Yet, scholars have little understanding of the impacts of these learning methods on farmers’ use of residue-based biogas. Using survey data from rural areas of Hubei China, this study estimates the impacts of observational learning and word-of-mouth learning from different subjects (i.e., relatives, neighbors, cadres, cooperative members, and technical instructors) on the use of residue-based biogas by farmers. Additionally, the moderating role of interpersonal trust in these relationships is explored.
Results
Results from logistic regression models show that observational learning from technical instructors significantly increases farmers’ use of biogas. Furthermore, interpersonal trust significantly and positively influences the impact of observational learning on farmers’ decisions to use biogas. Similarly, interpersonal trust significantly and positively moderates the influence of positive word-of-mouth learning on farmers’ decision to use biogas. In contrast, a negative moderating role exists in the relationship between negative word-of-mouth learning and farmers’ decision to use biogas. These impacts are further affirmed by robustness checks.
Conclusions
The results presented here show that enhancing farmers’ interpersonal trust promotes the use of residue-based biogas by farmers. One important implication is that the government might promote the use of residue-based biogas by organizing technology demonstration activities, providing communication platforms, and enhancing mutual trust between farmers and relevant groups.
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Open AccessArticle
Decoding the Secrets of Agricultural Light, Heat, and Water Resources in Beijing Under Climate Change: Spatio-Temporal Variations on a Small Scale and Future Prospects
by Hongrun Liu 1ORCID,Yanan Tian 1,He Zhao 1,Song Liu 1,Ning Zhu 2,Yanfang Wang 1,Wei Li 1,Dan Sun 1,Tianqun Wang 1,Lifeng Li 2,Shangjun Wu 1,Fudong Wang 1 andXihong Lei 1,*
1
Beijing Agricultural Technology Extension Station, Beijing 100029, China
2
Beijing Changping District Agricultural Technology Extension Station, Beijing 102299, China
*
Author to whom correspondence should be addressed.
Agriculture 2025, 15(4), 371; https://doi.org/10.3390/agriculture15040371 (registering DOI)
Submission received: 22 December 2024 / Revised: 1 February 2025 / Accepted: 6 February 2025 / Published: 10 February 2025
(This article belongs to the Section Ecosystem, Environment and Climate Change in Agriculture)
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Abstract
As an international metropolis, Beijing still plays a key role in the development of national agricultural production technology despite its small regional scale. Climate change has a great impact on agricultural production. Previous studies often focus on a single short-term meteorological factor and lack a more systematic analysis of climate resources in Beijing. Based on the daily temperature, precipitation, relative humidity, wind speed and sunshine hours of 17 meteorological stations in Beijing in the past 42 years, this study analyzed the spatial and temporal distribution characteristics of agro-climatic resources and predicted the future climate change trend under different climate scenarios. The climate resource tendency rate is calculated on a time scale of every ten years (10a). The results showed that (1) the light resources are decreasing at a rate of 44.9~156.3 MJ m−2 10 a−1, and the downward trends in light resources in the northeastern plain areas as well as in June and July are more significant; (2) the thermal resources are increasing at a rate of 34.2~176.4 °C·d 10 a−1, and the upward trends in thermal resources in the southeastern plain areas and in March are more remarkable; (3) the water resources represented by the soil humidity index are changing at a rate of −1.6~6.1% 10 a−1. The situation is complex, and the fluctuations of water resources in the central and western regions as well as in July, August and September are more significant; and (4) compared with the low-emission “dual carbon” scenario, the decrease in water volume and the overall increase in temperature in the high-carbon scenario are larger, and this trend is particularly obvious in the long run. This study provides a basis for Beijing’s agricultural layout and response to climate change, and its methods and results are also valuable for other regions to promote green, high-quality and sustainable agricultural development.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C25437
Notes:
Pages 122-132 in Maximo Torero and Joachim von Braun (eds.), Information and communication technologies for development and poverty reduction: the potential of telecommunications. Johns Hopkins University Press, Baltimore, Maryland. 362 pages.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C25445
Notes:
Pages 277-283 in Maximo Torero and Joachim von Braun (eds.), Information and communication technologies for development and poverty reduction: the potential of telecommunications. Johns Hopkins University Press, Baltimore, Maryland. 362 pages.
