Agricultural productive services provide a new entry point to solve the “labor dilemma” and contributes to the sustainable development of the apple industry. In this study, we establish a random frontier model with the Translog production function to analyze the influence of productive services on the technical efficiency of apple production based on a microscopic survey data of 661 apple farmers. The results indicate that the purchasing proportions of productive services are obviously different among the different links of apple production, while those among different regions are not obvious. Overall, productive services have a positive effect on improving the technical efficiency of apple production, but productive services in different links have a different effect; specifically, productive services in the bagging link have a positive effect on the technical efficiency of apple production, productive services in the pest controlling link have a negative effect, and productive services in other links have no significant effect. We suggest that policymakers should promote the orderly development of agricultural productive services, focus on improving the popularity of productive services in bagging links, and improve the quality of productive services in the pest control link.

In the Shaanxi province, small and scattered plots impede an increase in the efficiency of apple production. Developing a moderate operation scale is a proper tool to solve inefficiencies in apple production, as it enables improving the factor allocation efficiency, resulting in higher yields, higher profit, or lower production costs. However, the moderate operation scales, based on output, profit, and production costs, may be different. This paper aimed to evaluate the moderate operation scale of apples from three perspectives of increasing yields and profits and reducing unit production cost. The study was based on survey data collected from 661 randomly selected apple farmers in eight counties of the Shaanxi province, China. The collected data were analyzed quantitatively by the input-output model, the net profit model, and unit production cost model. The findings show that: (1) The moderate operation scale oriented to increasing apple yields in the Shaanxi province should be 0.87–1.53 ha. (2) The moderate operation scale oriented to increasing the net profit of farmers in the Shaanxi province should be over 1.53 ha. (3) The moderate operation scale oriented to reducing the unit cost of apple production in the Shaanxi province should be 0.20–0.53 ha. The study provides evidence that policymakers should grasp the balance point and find the intersection of the operation scale based on output, profit, and unit production cost when guiding apple growers to carry out the moderate scale. We propose that 0.87–1.53 ha may be a suitable operation scale for apple production in the Shaanxi province at the current stage.

The change of information scenario may change the market transaction cost of different factors, thus changing the relative price of factors and inducing the substitution of production factors, but there is no research to prove this. Therefore, this study takes labor-saving technology (mechanical substitution of labor) as an example, evaluates informatization from three aspects of information technology access, information technology application and information literacy comprehensively, and uses the probit model and CMP method to analyze whether informatization causes the substitution of agricultural machinery inputs for labor inputs and its heterogeneity. The results show that informatization has a significant negative impact on farmers' choice of labor-saving technology, and the result is robust at the regional level, but the negative impact of informatization on farmers' choice of labor-saving technology in the eastern region is smaller than that in the western region. The level of information literacy has the largest negative impact on farmers' choice of labor-saving technology, followed by the level of access to information technology, and the level of application of information technology has the smallest impact. The study concludes that informatization has not led to the significant substitution of labor by machinery in apple production. Thus, the results are important for enriching the theory of induced change in agricultural technology in the context of informatization.

Under the evolving context of land transfer, whether land fragmentation continues to play a decisive role in farmers' fertilizer use behavior remains an open question. Using survey data from the China Rural Revitalization Survey (CRRS), this study re-examines the impact of land fragmentation on farmers’ fertilizer use intensity and investigates how different land transfer scenarios shape this relationship. The findings reveal that: (1) An increased land fragmentation significantly raises farmers’ fertilizer use intensity, and this conclusion remains robust after a series of endogeneity and robustness tests; (2) The impact of land fragmentation on farmers’ fertilizer use intensity is more pronounced among farmers with lower aging levels, located in non-plain regions, engaged in mixed cropping, and exhibiting lower grain commercialization rates; (3) Continuous land transfers significantly weaken the positive effect of land fragmentation on farmers’ fertilizer use intensity; (4) Land fragmentation not only directly increase farmers’ fertilizer use intensity but also indirectly intensifies it by inhibiting farmers' adoption of agricultural service outsourcing. Accordingly, policies should promote the development of land transfer market, strengthen institutional guarantees for land property rights, and enhance the contiguity of transferred land parcels. Meanwhile, efforts should be made to expand and optimize the agricultural service outsourcing market to effectively mitigate the reinforcing effects of land fragmentation on farmers’ fertilizer use intensity.