Purpose: The purpose of this paper is to identify the effects of recent demographic transition and rising labor costs on agricultural production structure and pattern in China during 1998-2012. Design/methodology/approach: The authors, first, theoretically discuss the effects of changing relative input prices due to rising labor cost on producers’ decisions regarding input mix (substitution effect), output level, and product quality (output effect). A logarithmic mean Divisia index decomposition method is then applied to empirically identify these effects at aggregated levels, followed by an analysis based on the visualization of land use indicators on changing cropping patterns across Chinese provinces. Findings: The authors find that tightened effective agricultural labor supply and rises in rural labor costs are associated with divergent changes in input mixes and output choices across products. Producers of land-intensive products focusing more on input mix adjustment, while those of labor-intensive products seem to more likely to adjust output choices. Producers’ adaption strategies also varied across Chinese provinces due to natural conditions, leading to shifts and concentrations in the regional distribution of agricultural products, with lower-value bulk products concentrating in the plain areas, whereas higher-value horticulture products increasingly prevailing in sloped areas. Originality/value: This paper illustrates how adjustments in input mixes and output choice in Chinese agriculture counteracted disadvantages caused by rising labor costs and how such adjustments are product and region specific. Based on these observations, implications regarding further innovations in production technology and institutional arrangements needed within China’s agricultural sector are highlighted in the paper.

Many studies have shown that credit is crucial for the adoption of new agricultural inputs and technologies in developing countries. Hence, the issue about how financial institutions select farmer applicants to give loans to is very important. We used primary data from 401 rural households to show what kinds of farmers can get credit from banks in Sudan. The probit model is used to examine the factors that determine both farmers’ access to credit and the adoption of new inputs, and to show the nexus of credit accessibility and the adoption of new input through other factors. The main findings show that farming experience, the number of close friends, hire labor, cultivated land, irrigation, and extension services, are the factors that significantly determine farmers’ credit accessibility from banks. Some of these determinants, such as cultivated land and irrigation, also influence the adoption of new inputs. There exists a strong correlation between credit accessibility from banks and the possibility of using new input. In addition, an IV probit model shows that farmers’ use of chemical fertilizers and improved varieties directly influences the loan decision from banks. This means farmers’ credit demand induced by the chance of using new input actually has been satisfied by the banks in Sudan. The comparison results show that, for the subsample, for the Farmer’s Commercial Bank (FCB) the nexus between credit accessibility and the adoption of new inputs is stronger than that of the Agricultural Bank of Sudan (ABS). Therefore, this study recommended that the Sudan government should choose FCB as the lender of subsidized credit to increase the banks’ contribution to the development of plant production.

The highly intensive use of pesticide is a big threat to environmental sustainability in China. This study explains the increase of rice pesticide use in China’s rapid urbanization process from the perspective of changes in the delay of pest control. Based on multi-stage random sampling, 20 villages of five counties in central Jiangsu were selected, and the production data of 430 paddy fields were surveyed. Logit model results show that living outside village of agricultural labors will increase the probability of delay in control of diseases and pest, while the increase of farm size and the development of outsourcing services and public monitoring and forecasting services will help reduce the probability of delay. The OLS model results show that the delay in rice diseases and pest control has negative externalities. The delays of other farmers in the village will significantly increase the frequency of pesticide use. These results highlight important policy implications for the development of large-scale farming to substitute part-time farming and the development of diseases and pest control services.

Agricultural infrastructure is a typical public good, and it plays an important role in rural development. The “participation of beneficiary groups (PBG)” system is encouraged by government to supply village level public goods in China. Based on micro survey data from the village level in Jiangsu Province, this study analyzes the status of agricultural infrastructure construction and the promotion of PBG model and quantitatively analyzes the impact of different factors using an econometric model. The results found that the PBG model of agricultural infrastructure construction only accounted for 22.8% of projects, and the bottleneck was the challenge in raising funds at the village level; the total number of projects and the number of projects in the PBG model significantly increased with collective irrigation, and the farmland lease was found to hinder the promotion of the PBG model. The government should take measures to enhance farmers’ awareness of social trust, continuously improve the governance capacity of the village collectives, improve the role of village self-governance and social forces in agricultural infrastructure construction, and actively guide farmers and private enterprises to participate in agricultural infrastructure construction so that farmers can obtain more practical benefits.

Climate variability intensifies weather risks across smallholder rainfed farming systems in Africa. Farmers often respond by minimizing the use of modern inputs and opting for low-cost traditional practices, a strategy that decreases average yields and perpetuates poverty. While crop insurance could incentivize greater adoption of inputs, indemnity-based programs face market failures. Weather index insurance (WII), which utilizes objective weather data to trigger payouts while addressing traditional crop insurance market failures, is a viable solution. However, empirical evidence on the impact of WII remains limited, with most studies relying on controlled experiments or hypothetical scenarios that overlook real-world adoption dynamics. This study analyzed observational data from 400 smallholder farmers across diverse agroecological zones in Njoro Sub-County, Kenya, using instrumental variable regression to evaluate the impact of weather index insurance (WII) on input adoption and intensity of use. Findings indicated that WII significantly increased the adoption and intensification of improved inputs while displacing traditional practices, with effects moderated by gender, financial access, and infrastructure. Specifically, active WII users applied 28.7 kg/acre more chemical fertilizer and used 2.6 kg/acre more hybrid maize seeds while reducing manure and traditional seed usage by 27 kg/acre and 2.9 kg/acre, respectively. However, the effectiveness of WII was context-dependent, varying under extreme drought conditions and in high-fertility soils, which directly affected resilience outcomes. These findings suggest that policies should combine insurance with targeted agroecological practices and complementary measures, such as improved access to credit and gender-sensitive extension programs tailored to the specific needs of women farmers, to support sustainable agricultural transformation.

Against the backdrop of pervasive land fragmentation and high transaction costs, organized land transfer has emerged as a growing trend in China’s agricultural land market, facilitating the transition toward moderate-scale farming. Based on survey data from 1472 households across 72 villages in Jiangsu Province, this study investigates the impact of organized land transfer on agricultural land allocation efficiency and explores the underlying mechanisms. The results show that organized land transfer significantly enhances agricultural land allocation efficiency. This finding proves to be robust across a series of robustness analyses. Specifically, organized land transfer enhances land allocation efficiency, primarily by enhancing transfer stability, expanding the transfer scale, and broadening the transfer scope. Moreover, our analysis of moderating factors reveals that the strength of the village collective economy positively moderates the relationship between organized land transfer and efficiency, whereas lineage networks exert a negative moderating influence. Addressing equity implications, this study also examines the model’s impact on farmers’ autonomy. The findings indicate that organized land transfer significantly suppresses transfer willingness, particularly in those with low incomes and the elderly. These results carry significant policy implications: when promoting organized land transfer, it is crucial to balance the strengthening of village collectives’ intermediary role with robust regulatory frameworks designed to safeguard farmers’ land rights and autonomy.