Agricultural emissions reduction potential by improving technical efficiency in crop production

CONTEXT: Global and national agricultural development policies normally tend to focus more on enhancing farm productivity through technological changes than on better use of existing technologies. The role of improving technical efficiency in greenhouse gas (GHG) emissions reduction from crop production is the least explored area in the agricultural sector. But improving technical efficiency is necessary in the context of the limited availability of existing natural resources (particularly land and water) and the need for GHG emission reduction from the agriculture sector. Technical efficiency gains in the production process are linked with the amount of input used nd the cost of production that determines both economic and environmental gains from the better use of existing technologies. OBJECTIVE: To assess a relationship between technical efficiency and GHG emissions and test the hypothesis that improving technical efficiency reduces GHG emissions from crop production. METHODS: This study used input-output data collected from 10,689 rice farms and 5220 wheat farms across India to estimate technical efficiency, global warming potential, and emission intensity (GHG emissions per unit of crop production) under the existing crop production practices. The GHG emissions from rice and wheat production were estimated using the CCAFS Mitigation Options Tool (CCAFS-MOT) and the technical efficiency of production was estimated through a stochastic production frontier analysis. RESULTS AND CONCLUSIONS: Results suggest that improving technical efficiency in crop production can reduce emission intensity but not necessarily total emissions. Moreover, our analysis does not support smallholders tend to be technically less efficient and the emissions per unit of food produced by smallholders can be relatively high. Alarge proportion of smallholders have high technical efficiency, less total GHG emissions, and low emissions intensity. This study indicates the levels of technical efficiency and GHG emission are largely influenced by farming typology, i.e. choice and use of existing technologies and management practices in crop cultivation. SIGNIFICANCE: This study will help to promote existing improved technologies targeting GHG emissions reduction from the agriculture production systems

Impact of COVID-19 on access to inputs for crop production in India: Assessment of disruption of COVID-19 farm input provision

Key messages - During the COVID-19 pandemic, farmers who were less dependent on the market for labor, machinery, fertilizer, and other inputs were less impacted than farmers who were more dependent on the supply of these inputs from the local market. - Many household characteristics and input management strategies have a significant role in minimizing the impact of the pandemic on crop production. - Reduction in inputs use such as fertilizer, irrigation, labor has a significant impact on crop yield and greenhouse gas (GHG) emissions. Emissions from the rice production were reduced with less fertilizer and irrigation use by many farmers in the study areas. - Addressing the disruption of pandemic conditions in farm input supply by government and private sector intervention and building resource base at household and community levels are two key strategies to manage current and future pandemic conditions

Factors determining the adoption of laser land leveling in the irrigated rice–wheat system in Haryana, India

Laser land leveling has been increasingly adopted in the irrigated rice (Oryza sativa L.)–wheat (Triticum aestivum L.) cropping system in the state of Haryana (India), located in the north-western Indo-Gangetic Plains. Still, many farmers have applied it to only a fraction of their land. In this study, we used data collected from 621 farm households in Haryana and applied a double-hurdle model for assessing the factors that determine the adoption and intensity of laser-leveling technology. The results show that large land holders are more likely to laser level their farm land; however, we found a negative association between land holdings and the proportion of laser-leveled land. Information about technology through farmer-to-farmer communication and through private traders, participation in agricultural training and membership in local agricultural institutions increased both the likelihood and the intensity of adoption. Our findings call for a closer collaboration among the various stakeholders, specifically to promote farmer-to-farmer communication through increased participation in local institutions and increase the rate of adoption of laser leveling technology

Adoption of multiple climate-smart agricultural practices in the Gangetic plains of Bihar, India

The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India. Design/methodology/approach The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively. Findings The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption. Practical implications The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs. Originality/value By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way

Application of innovation platforms to catalyse adoption of conservation agriculture practices in South Asia

Conservation agriculture-based sustainable intensification (CASI) is a package of practices that could improve the sustainability of smallholder farm productivity and profitability. However, existing extension systems are unable to facilitate widespread adoption to have the impact necessary to meet food security and livelihood requirements. This paper examines the utility of ‘Innovation Platforms’ (IPs) as a tool to catalyse adoption of CASI for smallholder farmers in South Asia and generate opportunities for rural micro-entrepreneurship in areas with high rates of poverty, small farm sizes and complex labour markets. We established 37 village-level and five District-level IPs across the Eastern Gangetic Plains of Nepal, Bangladesh, and India. IPs allowed widespread uptake of CASI with benefits to smallholder farmers, input and output suppliers, and enabled extension systems to be more efficient. There was variability across locations with different modes of IPs established, building on existing farmer or community youth groups, and enabling micro-entrepreneur business opportunities. IPs were effective in developing trust in communities, among stakeholders, empowering rural youth and women through direct engagement. Ensuring strong ownership was key. Further work is needed to provide opportunities for high-level policy support to assist IPs to have a wider impact in supporting large-scale adoption of CASI