Promoting chemical fertilizer (CF) reduction is an inevitable requirement for achieving high-quality agricultural development, and high standard farmland construction (HSFC) provides a new path for promoting CF reduction. Takes the implementation of HSFC policy as the starting point, this paper uses the provincial panel data of China from 2005 to 2017 to analyze the impact of HSFC policy on CF reduction and its mechanism of action by using the continuous difference-in-difference (DID) model and mediating model. The baseline regression results show that implementing the HSFC policy has reduced the amount of CF per unit area by 8.9 % on average, which has a significant policy effect. The mechanism analysis shows that the HSFC policy can promote CF reduction by improving the agricultural mechanization level and expanding the scale of operations in agriculture. The results of heterogeneity analysis show that in the natural geographical location dimension, the effect of HSFC policy on CF reduction in the eastern and central regions is more obvious; In the dimension of functional areas of grain production, the impact of HSFC policy on CF reduction in major grain-producing regions is more obvious. Therefore, in the future, it is necessary to continue to vigorously promote the HSFC and give full play to the effective role of HSFC in CF reduction. China should vigorously promote the development level of agricultural mechanization and the large-scale operation of agriculture and further strengthen the HSFC in the western region and non-major grain-producing areas.

At present, farmland abandonment (FA) is a serious problem in China, severely restricting agricultural production. In this context, it is of great significance to explore the logical relationship between high-standard farmland construction (HSFC) and FA to optimize land resource allocation and guarantee national food security. Based on a sample of 838 farmers in the main rice production area of the Yangtze River Basin in China, this study employed the Tobit model, the mediating effect model, and the moderated mediating effect model to analyze the impact of HSFC on FA at the micro level. The results show the following: (1) HSFC inhibits FA and the FA proportion decreases by 1.15% for every 1% increase in the HSFC proportion; the robustness test and endogeneity treatment also yield consistent conclusions. (2) The inhibitory effect of HSFC on FA varies greatly among different farmers and is more significant for part-time farmers and those with a higher degree of land fragmentation. (3) Agricultural socialization services (ASS) play a positive mediating role in the influence path. HSFC promotes the farmers’ purchase of ASS, which in turn inhibits FA. (4) The agricultural labor transfer distance (ALTD) plays a positive moderating role in the relationship between HSFC and FA. The farther the distance, the more likely it is that HSFC can promote the farmers’ purchase of ASS and inhibit FA. The results provide insights regarding how to precisely implement the HSFC policy, i.e., to inhibit FA by improving the construction of high-standard farmland and the post-construction management and protection system. Building targeted construction programs and operational systems that consider the differences in the target groups, improving the standard and capacity of ASS to ensure sustainable benefits for farmers, and promoting the non-agricultural transfer of surplus agricultural labor can create conditions for the modern transformation of the traditional rural economy.

This study explores the impact mechanism of risk perception and policy support on the deviation of rural households’ demands and adoption behavior (RHDAB) of the forestry socialized service (FSS). It provides a decision-making basis for promoting the construction of a collective FSS system and realizing the value of ecological products. Survey data from 787 rural households in Zhejiang, Fujian, and Jiangxi provinces were used to quantify the influence of risk perception and policy support on the deviation of RHDAB of the FSS using the Mv-probit model and Poisson model. The results revealed that: 1) there were deviations between RHDAB for different types of FSS, with 57.71% and 66.20% for good seeds and cultivation technology services and product collection and marketing services, respectively. 2) Risk perception accelerated the deviation and degree of deviation between RHDAB of the FSS, particularly the technology risk perception. Meanwhile, policy support was shown to mitigate the effect of risk perception on rural households’ deviation and deviation degree. 3) Business risk perceptions had a more significant impact on the deviation of RHDAB in middle and high-economic development areas compared to technology risk perception and financial risk perceptions in low-economic development areas. Additionally, business risk perception was found to have a significant positive effect on the deviation of small and large operation-scale rural households, while technology risk perception significantly impacted the deviation of small operation-scale rural households. Consequently, this study suggests the need for a sound forestry risk management system to address the variability of the deviation of RHDAB across different regions and operation scales, as well as to improve the service quality of forestry insurance, accelerate the speed and benefit of inclusive rural finance, and cultivate new supply bodies of socialized services, thereby promoting the construction of collective FSS system and realizing the value of ecological products.

At present, farmland abandonment（FA）is a severe phenomenon in China, imposing a serious restriction on agricultural production. In this context, it is of great significance to explore the logical relationship between high-standard farmland construction (HSFC) and FA to optimize land resource allocation and guarantee national food security. Based on 838 samples of farmers in the main rice production area of the Yangtze River Basin in China, this paper employs the Tobit model, the mediating effect model, and the moderated mediating effect model to analyze the impact of HSFC on FA at the micro level. The results show that (1) HSFC inhibits FA, and FA proportion decreases by 1.14% for every 1% increase in HSFC proportion, and the robustness test and endogeneity treatment also yield consistent conclusions. (2) Agricultural socialization services (ASS) play a positive mediating role in the influence path. HSFC promotes farmers' purchase of ASS, which in turn inhibits FA. (3) The agricultural labor transfer distance (ALTD) plays a positive moderating role in the relationship between HSFC and FA. The farther the distance, the more likely HSFC can promote farmers' purchase of ASS and inhibit FA. The results provide enlightenment on how to precisely implement HSFC policy, that is, to inhibit FA by improving the construction of high-standard farmland and the post-construction management as well as protection system. Moreover, this study helps guiding the development of ASS and optimizing the institutional environment for agricultural labor transfer, creating conditions for agricultural scale management.

A series of revitalization policies (RPs) have been implemented in China’s Old Revolutionary Areas (ORAs). Evaluating the impact of these RPs is of paramount importance for refining policy design and achieving the goal of common prosperity. This study focuses on the ORAs in Gannan (ORAG) and employs the Propensity Score Matching Difference-in-Differences (PSM-DID) method to assess the effects of the RPs from two perspectives: stimulating economic growth and increasing farmers’ income, utilizing county-level data spanning from 2006 to 2019. The findings of this study reveal that while the RP restrains the growth of per capita GDP in ORAG, it significantly promotes the growth of farmers’ income. Moreover, it plays a crucial role in reducing the income gap between ORAG and Jiangxi Province, thus promoting the common prosperity of farmers in ORAG. A detailed examination using quantile regression shows that the RP has a significant and consistent negative impact on GDP per capita GDP at different quantile points. At the same time, it has a significant positive effect on increasing farmers’ income at the 25% quantile point, effectively reducing income inequality among farmers at all quantile levels. The mechanism analysis shows that the RP has stimulated increased government investment in ORAG, leading to an increase in farmers’ incomes and a reduction in income disparities. However, the study also highlights the existence of a “policy trap” that has hindered the RP’s effectiveness in ORAG. Drawing upon these findings, this paper offers policy recommendations to enhance the impact of RP in ORAs.

Prognostic signatures play an important role in clinical research, offering insights into the potential health outcomes of patients and guiding therapeutic decisions. Although singlegene prognostic biomarkers are valuable, multi-gene prognostic signatures offer deeper insights into disease progression. In this paper, we propose MulMarker, a comprehensive framework for identifying multi-gene prognostic signatures across various diseases. MulMarker comprises three core modules: a chatbot for addressing user queries, a module for identifying multigene prognostic signatures, and a module for generating tailored reports. Employing MulMarker, we identified a cell cycle-related prognostic signature that consists of CCNA1/2, CCNB1/2/3, CCNC, CCND1/2/3, CCNE1/2, CCNF, CCNG1/2, and CCNH. Based on the prognostic signature, we successfully stratified patients into high-risk and low-risk groups. Notably, our analysis revealed that patients in the low-risk group demonstrated a significantly higher survival rate compared to those in the high-risk group. Overall, MulMarker represents an efficient approach for the identification of multi-gene prognostic signatures. We release the code of MulMarker at https://github.com/Tina9/MulMarker.