Search Results (9)

Excessive fertilizer use threatens soil quality and the sustainability of grain production, making improvements in fertilizer use efficiency (FUE) essential. This study examines how conservation tillage (CT) practices affect FUE in China’s wheat–maize rotation system using survey data from 1528 farm households in Shandong, Henan, Anhui, Shaanxi, and Shanxi provinces of China. We estimate FUE using stochastic frontier analysis (SFA) and identify the treatment effects of tillage choices using a multinomial endogenous switching regression (MESR) model to correct for self-selection. Three tillage practices are compared: conventional rotary tillage with straw returning (CTS), no-tillage with straw returning (NTS), and deep tillage with straw returning (DTS). The results show that the average FUE of farmers in grain production in the sample area is 0.5045 and displays a bimodal distribution. Relative to CTS, NTS significantly improves farmers’ FUE, whereas DTS significantly reduces it. Mechanism analysis indicates that NTS improves FUE through both reduced fertilizer input and increased yield, while DTS mainly increases yield without reducing fertilizer input. Threshold analysis further shows that farm size conditions these effects. The findings suggest that CT policies should promote NTS more actively and apply DTS selectively according to farm size and local production conditions. Full article

This study investigates the drivers of individual and joint adoption of sustainable land use (SLU) practices—specifically crop choice and soil and water conservation—and their impact on farm performance (crop revenue) and production risk (crop yield skewness). Using a farm-level dataset of 504 households across three agro-ecological zones in Punjab, Pakistan, we address selectivity bias through the newly developed multinomial endogenous switching regression (MESR) model. Additionally, we assess land use sustainability across ecological, social, and economic dimensions using a comprehensive non-parametric approach. Our findings identify key determinants of SLU adoption, including farmer education, access to advisory services, FBO membership, hired labor, climate information, farm size, and perceptions of drought and heatwaves. We demonstrate that joint adoption of SLU practices maximizes crop revenue and reduces production risk, lowering the likelihood of crop failure. The study further suggests complementarity between these SLU practices in enhancing crop revenue. Moreover, joint adopters of SLU practices significantly outperform non-adopters in ecological, social, and economic sustainability dimensions. We recommend improving access to public sector farm advisory services and climate information to enable farmers to make well-informed decisions based on reliable data. Implementing these measures can support the transition toward sustainable land management, helping to mitigate risks like crop failure and declining revenues, which threaten farm income. Full article

Using farm machinery plays a significant role in easing the issue of slowing growth of operating income among farm households in China. Drawing data from CFPS2018, this study adopts a multinomial endogenous switching regression (MESR) to analyze the factors influencing farm households’ choices regarding self-owned farm machinery and outsourced machinery services, as well as their subsequent impact on operating income. The results of the study show that the characteristics of the head of household, family, village, and region have a significant impact on the farm households’ selection of whether to use self-owned machinery or outsourced services. Furthermore, the exclusive use of self-owned farm machinery and the combined use of both self-owned and outsourced machinery substantially enhance farm households’ operating income. An additional analysis indicates that these two types of machinery are complementary, and their combined use generates a superimposed effect that further boosts income. These findings suggest that the combined use of self-owned and outsourced machinery is optimal for farm households who wish to expand their operating income. Full article

Improving productivity is an important channel for satisfying household food needs through food availability. Increasing the productivity of small-scale farmers is linked to a number of factors, including land access, labor, chemicals, fertilizers and so on. Most farmers resort to expanding their cultivated areas to increase production because of insufficient financial resources available for purchasing inputs during agricultural seasons. This situation, combined with increasing pressure on land, does not favor agricultural production and, by extension, food security. This study therefore assesses the impact of different modes of access to land on agricultural productivity. Regime-switching multinomial regression techniques were used to account for endogeneity bias due to observed and unobserved factors. The results of the study show that access through free loans, tenancy and sharecropping negatively affect agricultural yields. The counterfactual analysis reveals a positive gain estimated at 509.9 kg/ha from land access by landowners. If the lenders were landowners, their gain would be 396.6 kg/ha, whereas the farmers would gain 485.1 kg/ha if they were landowners, and similarly the sharecroppers would gain 389.8 kg/ha if they were landowners. It is clear from these results that improving agricultural yields depends on securing land and requires the establishment of an effective land ownership system. This research impacts land ownership policies, which need to be revised to address customary rights and reduce inequalities in access to secure land. It highlights the way land tenure security drives agricultural advancements and offers actionable recommendations for policy improvements on food security. Full article

Climate-smart agriculture is one of the most important actions for agricultural climate change adaptation, especially in Togo, a sub-Saharan African country with a fragile ecology and where agriculture is profoundly impacted by climate change. Using a multinomial endogenous switching regression (MESR) and a multinomial endogenous treatment effect (METE) approach, we conducted empirical research to identify the factors influencing the adoption decisions of climate-smart agricultural practices (CSAPs) and their impact on household food security among smallholder farmers in Togo. The findings of this study revealed that the adoption of CSAPs by farmers is influenced by a range of factors, such as age, marital status, the household head’s gender, engagement in off-farm activities, level of education, farm size, agroecological zone, regional location, land ownership, distance between homestead and farm, access to credit, the presence of agricultural associations and cooperatives, and access to extension agents. On the one hand, the MESR analysis demonstrated a positive correlation between the number of adopted CSAPs and households’ food consumption score. Similarly, greater adoption of CSAPs resulted in a significant reduction in the food insecurity experience scale. On the other hand, the METE model portrayed an increase in acceptable food consumption when households adopted up to three CSAPs. Likewise, it significantly alleviated severe food insecurity. Further results based on the propensity score matching technique showed that the adoption of a crop rotation system, utilization of improved varieties of seeds, plant protection products, inorganic fertilizer, organic fertilizer, and irrigation improved adopters’ food consumption scores while reducing their level of food insecurity. Full article

Insurance purchase and organization participation in risk management is of great practical significance for stabilizing agricultural production and household income. The aims of this study were to analyze farm households’ choices of insurance purchase and organization participation, and their effects on crop revenue and its higher-order moments using the multinomial switching endogenous regression (MESR) model. The results showed that the adoption of insurance and organization was significantly affected by household head characteristics, farm household characteristics, and cropland attributes. Insurance purchase, organization participation, and their joint adoption contributed to the increase in crop revenue and decrease in crop revenue variance, and the benefits were larger when adopting two risk management tools in combination. When skewness was taken into account in risk management analysis, insurance purchase, organization participation, and their joint adoption resulted in a reduction in the probability of crop failure, of which, participating in organizations was the most effective. Efforts should be put forth to improve the functioning and effectiveness of agricultural insurance and organization to promote the adoption of risk management tools. Full article

Climate-smart agriculture (CSA) has been receiving increasing attention in recent policy dialogues for its potential to improve agricultural transformation, risk management, and welfare. This study seeks to provide evidence on the welfare impacts of CSA adoption and its complementarity with non-farm employment using household-level data from Ethiopia combined with novel historical weather data. The study uses a multinomial endogenous switching regression model to deal with selection bias and farmer heterogeneity. The results show that households adopting CSA enjoy higher welfare benefits than non-adopter households. Households experience a higher welfare impact (lower monetary and multidimensional poverty rate) when CSA and non-farm employment are adopted simultaneously. However, there is less evidence regarding the complementarity between CSA and non-farm employment when considering per capita consumption expenditure. The study findings will have important policy implications for climate change adaptation, resilience, and poverty reduction in low-income countries. Full article

Crop switching has been examined in the literature addressing the production effects of irrigation or as viable strategy in the adaptation to climate change, which is closely related to agricultural resilience. Attention to the identification of the direct linkage between crop switching and farm profitability, and, thus, farm sustainability, however, has been quite limited. This study attempts to provide a significant complement to the extant research by identifying the treatment effect of crop switching on the net returns of crop growers in Taiwan. A multinomial endogenous treatment effects model with the latent-factor structure is used to take self-selection into account. The result suggests that farm households’ economic resilience is closely related to their choice of crops, which constitute the major source of farm income. Specifically, among the six cash crop categories, fruit crops and other crops are found to be most remunerating and, thus, suggests possible improvements in farm households’ economic resilience through crop switching. A further analysis of the distributional implications of crop switching through quantile regression confirms the persistent and stronger effects of crop choice on net returns when moving from the bottom to the top quartiles along the net-return distribution. This result suggests a close association of crop choices with farm income inequality among the crop farm households in Taiwan, which in turn implies possible distributional effects of crop switching. Full article

In this paper, we analyze the drivers of the adoption of climate-smart agricultural (CSA) practices and the impact of their adoption on farm net returns and exposure to risks. We use recent farm-level data from three agroecological zones of Pakistan to estimate a multinomial endogenous switching regression for different CSA practices used to reduce the adverse impact of climate change. These strategies include changing input mix, changing cropping calendar, diversifying seed variety, and soil and water conservation measures. The empirical results show that the adoption of different CSA practices is influenced by average rainfall, previous experience of climate-related shocks, and access to climate change information. The findings further reveal that adoption of CSA practices positively and significantly improves farm net returns and reduces farmers’ exposure to downside risks and crop failure. The results also reveal significant differences in the impacts of CSA practice adoption on farm net returns in different agroecological zones. Thus, policies aimed at achieving sustainability in agricultural production should consider agroecological, specific, climate-smart solutions. Full article