18 pages, Based on panel data from the Rural Fixed Point Survey of the Ministry of
Agriculture over the period 2004-2016 and supplementary survey data on information
and communications technology (ICT) applications in the countryside, this paper employs
the difference in differences (DID) method to analyze the effects of ICT applications on
rural households’ agricultural total factor productivity (TFP) with mobile phone signal,
internet and 3G mobile network connections as indicators, and decomposes and evaluates
the constituent factors. Our findings reveal a positive effect of ICTs on rural households’
TFP, which primarily stemmed from rising agricultural technical efficiency. However, ICTs
exerted no significant effect on agricultural technical progress during this paper’s data
period due to limited rural human capital. These findings are consistent with robustness test
results based on counterfactual and matching methods.
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.