Within-Season Producer Response to Warmer Temperatures: Defensive Investments by Kenyan Farmers

Jagnani, Maulik; Barrett, Christopher B.; Liu, Yanyan; You, Liangzhi

doi:10.1093/ej/ueaa063

Cited by 69 publications

(71 citation statements)

References 40 publications

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“…The relationship involves significant nonlinearities, indicating that these types of nonlinearities and dynamics are evident on agricultural productivity change. This is consistent with previous studies, e.g., Hendricks and Peterson 2014;Jagnani et al 2019;Aragón et al, forthcoming. The results show that high temperature (heat stress) reduces changes in agricultural productivity. A one percent increase in DHDD result in a 4 percent decrease in agricultural productivity.…”

Section: First Stage Regression Resultssupporting

confidence: 93%

“…ii) Growing Degree Days (GDD). We follow the agronomic literature and use Growing Degree Days (GDD) and Harmful Degree Days (HDD) to estimate the impact of temperature on agricultural yield and value (Schlenker and Roberts 2006;Lobell et al 2011;Lobell et al 2013;Deryng et al 2014;Hendricks and Peterson 2014;Jagnani et al 2019;Aragón et al forthcoming). GDD is calculated using the cumulative exposure to temperatures between a lower bound (the standard base temperature of 10°C) up to an upper threshold of 30°C.…”

Section: Climate Variablesmentioning

confidence: 99%

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The role of agriculture in reducing child undernutrition in Nigeria

Amare¹,

Balana²,

Ogunniyi³

2020

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This study examines the effect of agricultural productivity change on child nutritional outcomes in Nigeria. Using several waves of micro-level panel data from Nigeria, we first show that high temperature (heat stress) reduces agricultural productivity change. A one percent increase in high temperatures during the crop growth period result in a 4 percent decrease in agricultural productivity. More importantly, our analysis provides several important insights on the implications of agricultural productivity change for reducing child undernutrition. The results show that agricultural productivity growth has a positive effect on child nutritional outcomes, measured by child height-forage and weight-forage. The main channel through which agricultural productivity growth affects child nutritional outcomes is by increasing food production for own household consumption. This suggests that productivity-enhancing investments in the agricultural sector could have a direct impact on child nutritional outcomes among smallholder households in Nigeria. The results also show that agricultural productivity change has higher impact for households who have better access to markets and a higher educational level. Interventions and policies geared towards intensification of agricultural production need to be complemented with strategies for widening educational programs and improving farmers' access to markets. to induce incentives for increased production.

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Section: First Stage Regression Resultssupporting

confidence: 93%

Section: Climate Variablesmentioning

confidence: 99%

The role of agriculture in reducing child undernutrition in Nigeria

Amare¹,

Balana²,

Ogunniyi³

2020

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“…Does household livestock production respond to access to markets and weather conditions? Despite several studies showing that crop production responds to weather conditions (e.g., Rosenzweig and Binswanger 1993;Dercon 1996;Jalan and Ravallion 2001;Howden et al 2007;Mitter et al 2015;Amare et al 2018;Jagnani et al 2018) 1 and access to markets (e.g., de Janvry et al 1991;Fafchamps 1992: Zeller et al 1998Van Dusen and Taylor 2005), there exists scant empirical evidence on whether and how households' livestock production decisions respond to varying weather risk and access to markets. Understanding these responses and adjustments in livestock production and marketing decisions is crucial for prioritizing livestock-related investments and designing risk mitigating strategies for those relying on livestock, e.g., livestock insurance programs.…”

Section: Introductionmentioning

confidence: 99%

Access to markets, weather risk, and livestock production decisions: Evidence from Ethiopia

Abay¹,

Jensen

2020

Agricultural Economics

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Despite several studies showing the effect of access to markets and weather conditions on crop production, we know quite little on whether and how livestock production systems respond to variation in weather risk and access to markets. In this paper, we study whether and how livestock production responds to access to markets and varying weather risk. We also explore whether such responses vary across livelihood zones and livestock production systems. We study these research questions using information on the livestock production, ownership, and marketing decisions of households in Ethiopia. We find that households living close to markets are more likely to engage in market-oriented livestock production and use modern livestock inputs. We also find that households exposed to more unpredictable weather are less likely to engage in livestock production for markets. Rather, they are more likely to engage in livestock production for precautionary savings and insurance. Furthermore, greater rainfall uncertainty influences livestock portfolio allocation towards those types of livestock which can be easily liquidated, while also discouraging investment in modern livestock inputs. However, these responses and patterns vary across livelihood zones and production systems-most of these stylized responses and impacts are more pronounced in the arid and semi-arid lands of Ethiopia, where livestock herding remains a dominant source of livelihood. Those households relying only on livestock production seem more sensitive and responsive to weather risk and weather shocks. The heterogeneity in responses to and impacts of weather risk among farming systems and livelihoods highlights the need for more tailored livestock sector policies and interventions.

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“…Farmers can shift sowing dates to avoid the hottest time of year (Waha et al, 2013). Adjusting fertilizer or other agricultural inputs to deal with heat is another intra-crop adaptation (Duflo et al, 2011;Jagnani et al, 2018). Farmers can grow the same primary type of crop (e.g., rice), but plant varieties that have been cultivated to be more heat-resistant.…”

Section: Introductionmentioning

confidence: 99%

Can farmers adapt to higher temperatures? Evidence from India

Taraz

2018

World Development

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Projections suggest that the damages from climate change will be substantial for developing countries. Understanding the ability of households in these countries to adapt to climate change is critical in order to determine the magnitude of the potential damages. In this paper, I investigate the ability of farmers in India to adapt to higher temperatures. I use a methodology that exploits short-term weather fluctuations as well as spatial variation in long-run climate. Specifically, I estimate how damaging high temperatures are for districts that experience high temperatures more or less frequently. I find that the losses from high temperatures are lower in heat-prone districts, a result that is consistent with adaptation. However, while adaptation appears to be modestly effective for moderate levels of heat, my results suggest that adaptation to extreme heat is much more difficult. Extremely high temperatures do grave damage to crops, even in places that experience these temperature extremes regularly. The persistence of negative impacts of high temperatures, even in areas that experience high temperatures frequently, underscores the need for development policies that emphasize risk mitigation and explicitly account for climate-change-related risks.JEL Classification: O1, O3, Q1, Q5

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Within-Season Producer Response to Warmer Temperatures: Defensive Investments by Kenyan Farmers

Cited by 69 publications

References 40 publications

The role of agriculture in reducing child undernutrition in Nigeria

The role of agriculture in reducing child undernutrition in Nigeria

Access to markets, weather risk, and livestock production decisions: Evidence from Ethiopia

Can farmers adapt to higher temperatures? Evidence from India

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