China’s agricultural sector faces unprecedented challenges due to rapid urbanization. The rural labor force is declining, and the agricultural workforce is aging significantly. This labor shortage, worsened by the exodus of agricultural technicians, threatens food security and agricultural sustainability. This study analyzes data from 30 Chinese provinces from 2011 to 2022 using a transcendental logarithmic production function. The research examines how agricultural socialized services can alleviate rural labor shortages by improving production efficiency. It also investigates these services’ impact on labor input intensity and grain yield across different crops and regions. The results show that socialized agricultural services effectively promote food production. At the national level, these services can promote a 54.4% increase in total crop production. Agricultural socialized services are gradually developing toward labor substitution. The significant negative interaction coefficient between services and labor confirms this substitution effect. The input–output elasticity of these services is positive for total crop and cereal crop production in major production areas. It also shows positive elasticity for total crop and tuber crop production in non-major production areas. The national-level “service-labor” technical elasticity of substitution maintains values above zero, averaging 0.37 across regions, offering an effective solution to agricultural labor shortages. This study identifies a threshold effect where these services’ impact on food production significantly increases with business scale expansion. These findings highlight the importance of optimizing agricultural socialized services through strengthened service systems, differentiated regional strategies, technological innovation, and comprehensive support policies. Such targeted approaches would enhance substitution effects and service efficiency, addressing labor shortages and boosting food production.

Amid global economic transformation, a persistent productivity gap exists between developed and developing nations in agriculture sector, shaped by technological advancements and shifting resource allocation patterns. Agricultural socialized services (ASS), defined as organized systems providing technical support, mechanization assistance, information services, market linkages, and resource optimization to farmers, have emerged as critical mechanisms for agricultural development. In developing economies, these services catalyze gains in agricultural labor productivity through the integration of advanced technologies and the mechanization of farming practices. Using panel data from 30 Chinese provinces during 2011 to 2022, this study investigates the relationship between ASS and ALP, focusing on regional heterogeneity, threshold effects, and spatial spillovers. The combination of spatial econometric methods and threshold analysis was selected for its unique capacity to capture both the geographic interdependencies and nonlinear relationships that characterize agricultural development processes. These thresholds at 5.254 and 8.478 represent critical points where the impact of ASS on ALP significantly changes in magnitude, revealing a nonlinear relationship that evolves across different stages of agricultural development. The study highlights notable regional disparities in the impact of ASS. Specifically, ASS is more effective on ALP in eastern, central and key food-producing regions, while its impact is relatively weak in western and non-food-producing regions. Spatial spillover analysis indicates that advancements in ASS create positive externalities, extending beyond their immediate implementation zones and facilitating inter-provincial agricultural cooperation and development. These findings provide crucial guidance for policymakers and agricultural service providers to optimize resource allocation and service delivery strategies. By identifying critical development thresholds and regional variations, this research offers evidence-based support for government officials designing targeted agricultural policies and enterprises developing region-specific service models to foster sustainable agricultural growth across diverse regional landscapes.

Rural economic development faces significant challenges in the context of rapid urbanization and agricultural transformation, particularly in developing countries like China. Agricultural socialization services (ASSs) play a crucial role in promoting rural economic sustainability by enhancing household income and fostering regional development. This study investigates the impact of ASSs on rural economic sustainability in China from both temporal and spatial perspectives, employing the entropy weight method, double fixed effects model, and Spatial Durbin Model. Analyzing panel data from 30 Chinese provinces from 2011 to 2021 reveals significant positive effects of ASSs on rural income, along with spatial spillovers to neighboring regions. The results highlight regional heterogeneity in the impact of ASSs, with the eastern region benefiting from local spillovers, while the central and western regions gain from intensification and scale effects. These findings suggest that policymakers should adopt region-specific ASSs strategies, such as facilitating technology transfer in the eastern regions while leveraging intensification and scale advantages in the central and western regions, to optimize the effectiveness of agricultural support measures. Moreover, the relationship between ASSs and rural income exhibits a non-linear trend across various urbanization stages, implying that ASS policies should be tailored to the specific challenges and opportunities associated with different levels of urbanization to maximize their impact on rural economic sustainability. These findings underscore the importance of optimizing ASSs, tailoring policies to local conditions, and harnessing the role of ASSs in the urbanization process to promote inclusive rural development and foster sustainable rural economic growth.

China’s rapid urbanization has driven significant economic growth, but has also resulted in resource depletion, ecological degradation, and inefficient land use, collectively hindering sustainable development. In response, pilot policies for “low-carbon cities” and “carbon emissions trading” have been implemented to enhance urban land use efficiency. This study evaluates the green land use efficiency of 282 prefectural-level cities in China from 2006 to 2023, using the non-expected output super-efficiency SBM model. Some cities serve as pilot sites for both “low-carbon cities” and “carbon emissions trading.” A multi-period Difference-in-Differences model is employed to empirically assess the impact and mechanisms of this “dual-pilot” policy on green land use efficiency. The findings indicate the following: (1) The dual-pilot policy significantly improves green land use efficiency, with coordinated implementation yielding greater efficiency gains than single-policy approaches. (2) Mechanism analysis suggests that these policies enhance efficiency by promoting technological innovation and industrial agglomeration. (3) Heterogeneity analysis reveals that the policy’s impact is stronger in western regions, cities with high human capital, large urban centers, areas with stringent environmental regulations, and non-resource-dependent cities. (4) Spatial econometric analysis shows that while low-carbon policies improve local land use efficiency, they also create a siphoning effect on neighboring areas, with positive impacts observed within a 100–600 km range, diminishing and turning negative beyond 600 km. These insights provide a valuable framework for sustainable urban planning, emphasizing the importance of adaptive, context-sensitive policy design in addressing complex ecological and economic challenges.

Enhancing green sustainable innovation constitutes a fundamental objective for achieving carbon neutrality and high-quality economic development. In the context of China’s financial system transformation, the synergy between technology finance and green finance policies (TGFP) has emerged as a pivotal driver of long-term corporate innovation. Employing a panel dataset of China’s A-share listed firms from 2008 to 2023, this study systematically examines the effects and underlying mechanisms of TGFP on corporate green sustainable innovation. Results indicate that TGFP significantly promotes green sustainable innovation. Mechanism analysis reveals that this effect occurs by alleviating financing constraints, stimulating research and development investment, and enhancing risk-taking capacity. In addition, patient capital is identified as a key amplifier. TGFP alleviates financing pressure, stimulates research and development investment, and enhances risk-taking ability specifically through patient capital channels. Heterogeneity analysis reveals that the policy synergy effect exerts a more pronounced impact on promoting green sustainable innovation in state-owned enterprises, mature firms, highly competitive industries, heavily polluting sectors, and regions with advanced financial development and robust intellectual property protection. These findings provide policymakers with valuable insights to harness the collaborative potential of technology and green financial policies to foster sustainable innovation through patient capital cultivation.

The return migration of agricultural labor has emerged as a notable demographic shift in rural China, yet its association with farmland abandonment has received limited empirical attention. Using household-level microdata from the China Household Finance Survey (CHFS), this study empirically examines the association between agricultural labor return migration on farmland abandonment among rural households and explores the underlying channels. The results indicate a negative association between agricultural labor return migration and the area of farmland abandoned by rural households, and this pattern remains stable across a series of robustness checks. Mechanism analyses suggest that this association is consistent with two channels, namely farmland transfer-out and household investment in farmland. This negative association appears stronger in villages with well-developed specialty agricultural industries, relatively limited non-agricultural employment opportunities, and village cooperatives. These patterns suggest that policy efforts could pay greater attention to the role of labor return migration in improving the efficiency of rural farmland resource utilization. A combination of policy measures is recommended to improve farmland transfer markets, strengthen incentives for agricultural investment, and foster locally adapted specialty rural industries.