Rainfall and supply-response

Lahiri, Ashik Kumar; Roy, Prannoy

doi:10.1016/0304-3878(85)90060-4

Cited by 20 publications

(3 citation statements)

References 2 publications

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“…40 This explains why our estimated elasticities to negative rainfall shocks are two to three times larger than the symmetric estimate of Jayachandran (2006). Other previous studies that have found non-linear effects of rainfall shocks in India include, for example, Lahiri and Roy (1985) and Gadgil and Gadgil (2006). These papers, however, have a different focus from ours in terms of selected variables and the geographical level of interest.…”

Section: Baseline Specificationmentioning

confidence: 59%

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India^*

Brey

Hertweck

2023

Scandinavian J Economics

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This paper shows that, first, the effects of monsoon rainfall shocks on agricultural yield in India are highly asymmetric: yield falls strongly after droughts, whereas excessive rainfall has only little effects. Second, our key novel finding is that the short‐lived yield loss after a widespread drought elicits a persistent decline (increase) in wages (food prices), which lasts for up to five years. Third, affiliation to the same National Sample Survey region (and thus to the same state) seems to be a key determinant of internal migration, whereas distance appears more relevant for food arbitrage trading.

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Section: Baseline Specificationmentioning

confidence: 59%

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India^*

Brey

Hertweck

2023

Scandinavian J Economics

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“…fact, they did not pay much attention to the weather variable; it was taken as one of the control variables. Lahiri and Roy's (1985) work is one of the noteworthy studies in this area. This study is particularly important because it has analyzed the weather factor, i.e., rainfall, very systematically under the assumption that the impact of drought (scarcity of rainfall) is much more than the impact of flood (excess rainfall).…”

Section: Weather In Supply Response Analysismentioning

confidence: 99%

“…This depicts that yield is an increasing function of rainfall or temperature, while the latter shows that the equality between the positive or negative effects of weather though quadratic function does not significantly point out the negative impacts on crops. In this regard, the work by Lahiri and Roy (1985) in supply response analysis is an improvement, but the temperature is ignored in the equation since it is a supply response study. The selection of period based on phenological development of crops is something that has been ignored by researchers although Oury (1965) suggested that the aridity index should be taken at three different periods: (1) planting, (2) growing, and (3) harvesting time.…”

Section: Some Limitations Of Previous Studiesmentioning

confidence: 99%

Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies

Paltasingh¹,

Goyari²

2018

AJAD

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Weather factors, like other inputs such as land, labor, seeds, irrigation, fertilizer, and pesticides are also direct inputs in crop production. In a state of agriculture where the adoption and diffusion of modern technologies is very low or almost nil, weather factors count more than other inputs because of their direct and indirect effects. Thus, the link between weather and crop yield will have implications on food supply and crop forecasting and management policies. It is of immense importance to the policymakers, agricultural scientists, agricultural economists, and meteorologists to understand this relationship. The methodology for studying this relationship has undergone many improvements over time. This paper attempts to review the studies in this area done in India and a few from abroad that brought an evolution in the methodology of crop-weather modeling.

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Climate sensitivity of rice yields: An agro climatic zone analysis in the undivided state of Andhra Pradesh, India

Padakandla

2020

Journal of Public Affairs

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Observational data shows that there have been significant regional variations in climate change patterns across India. This study examines the effects of climate change on yields of rice across different climatic zones in the former state of Andhra Pradesh. The study uses district level panel data for 30 years (1981–2010) to analyze the influence of climatic variables like rainfall, maximum temperature and minimum temperature on rice yields at the agro‐climatic zone level. Analysis of data shows that the degree of impact of climate on yield of rice is varied across different climatic zones in the former state of Andhra Pradesh. Climatic zones which have traditionally higher temperature and lesser rainfall are more susceptible to variations in climate than others. Though the negative impact of temperature is similar among all the zones, there are observable spatial variations and differences in the degrees of impact The study also found that the impact of irrigation is significantly higher in traditionally drier zones than others. Given significant regional variations on climate change impact, policy makers, administrators and crop scientists have to design micro‐level mitigation and adaptation techniques.

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Rainfall and supply-response

Cited by 20 publications

References 2 publications

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India^*

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India^*

Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies

Climate sensitivity of rice yields: An agro climatic zone analysis in the undivided state of Andhra Pradesh, India

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Rainfall and supply-response

Cited by 20 publications

References 2 publications

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India*

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India*

Statistical Modeling of Crop-Weather Relationship in India: A Survey on Evolutionary Trend of Methodologies

Climate sensitivity of rice yields: An agro climatic zone analysis in the undivided state of Andhra Pradesh, India

Contact Info

Product

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The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India^*

The dynamic effects of monsoon rainfall shocks on agricultural yield, wages, and food prices in India^*