This regional synthesis addresses a major gap in knowledge about the effects of COVID-19 on agriculture and food across Asia • Key informants from 20 Asian countries assessed early direct and indirect effects on each of four major regional farming and food systems • The analysis showed Asian farming and food systems were moderately resilient to the pandemic, especially the hill mixed system • System resilience, food and labour markets, and farm and food chain economic benefits are key priorities for recovery policies and programmes • This study highlights COVID-19 effects and informs recovery policies and precautionary strategies against future pandemics in Asia and globally
Fertilizer use and genetic improvement of cereal crops contributed to increased yields and greater food security in the last six decades. For rice, however, fertilizer use has outpaced improvement in yield. Excess application of nutrients beyond crop needs, especially nitrogen (N), is associated with losses to the environment. Environmental pollution can be mitigated by addressing fertilizer overuse, improving N use efficiency, while maintaining or improving rice productivity and farmers' income. A promising approach is the site-specific nutrient management (SSNM), developed in the 1990s to optimize supply to meet demand of nutrients, initially for rice, but now extended to other crops. The SSNM approach has been further refined with the development of digital decision support tools such as Rice Crop Manager, Nutrient Expert, and RiceAdvice. This enables more farmers to benefit from SSNM recommendations. In this mini-review, we show how SSNM can foster sustainability in rice production systems through improved rice yields, profit, and N use efficiency while reducing N losses. Farmer adoption of SSNM, however, remains low. National policies and incentives, financial investments, and strengthened extension systems are needed to enhance scaling of SSNM-based decision support tools.
Research assessing the impacts of trade liberalization on poor rural populations can be divided intotwo categories: more quantitative research, assessing relationships between specific, measurable variables (such as changes in the macroeconomic environment and their impact on farmers’ income levels); and more qualitative research, which takes trade policy as a context and provides broad, descriptive data about dynamic livelihood strategies. In this paper, we outline a framework that could be used to integrate these two approaches by unravelling the macro-micro linkages between national policies and responses at a household level. Using the Mexican maize sector as an illustration, we trace the pathways through which trade liberalization (including the North American Free Trade Agreement) has interacted with changes in government institutions, and thereby impacted on farmers’ livelihood strategies. We identify three pathways through which trade policy affects households and individuals: via enterprises, distribution channels, and government, and we link these to a five-category typology of smallholders’ strategies for escaping rural poverty: intensification, diversification, expansion, increased off-farm income and exit from agriculture. Based on a case-study from Chiapas, Mexico, we report on farmers’ responses to post-liberalization agricultural policies. Data suggest that farmers have intensified maize production, sought more off-farm employment or have exited agriculture altogether. The potential for smallholders to escape poverty by diversifying farms or expanding their land-holdings or herd-size has been largely unrealized. We provide a conceptual framework for linking the impacts of liberalization to farmers’ livelihood strategies and suggest that this framework is useful in the context of agricultural modernisation initiatives that seek to increase agricultural productionand productivity.CITE AS:Hellin, J., Groenewald, S., Keleman, A. (2012). Impact pathways of trade liberalization on rural livelihoods: A case study of smallholder maize farmers in Mexico. Iberoamerican Journal of Development Studies, 1 (1): 58-82
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