Crop models are a key tool for developing adaptation strategies in the agriculture sector. With their evolution over time, they have gradually incorporated new approaches and tools. This document develops a non-linear model for simulating the performance of crops with an innovative approach that...

Explanations for the West's escape from premature mortality have focused on chronic malnutrition or income and on public health or state capacity. We argue that by ignoring the multigenerational effects of variance in ancestors' harvests, we are underestimating the contribution of modern...

This paper proposes a semiparametric local polynomial estimator for modelling agricultural time-series. We consider the modelling of the crop yield variable according to determined financial risk factors in Turkey. The derivation of a semiparametric local polynomial estimator is provided with...

Crop models are a key tool to develop adaptation strategies in the agriculture sector. With their evolution over time, crop models have been incorporating new approaches and tools. This paper proposes an innovative non-linear methodology to simulate crop's performance including non-linear...

Paddy is the most important agricultural crop product in Bangladesh since it is widely used in daily life as a main meal intake. Currently, traditional manual harvesting process is widely used to harvest paddy grains in Bangladesh. However, manual harvesting is laborious, time-consuming, and...

In the Sahel region, agroforestry potentially increases crop yields, alongside restoring and retaining soils. Nonetheless, little is known about how diverse agroforestry systems perform across actual agricultural systems of smallholders in the region. We therefore investigate how smallholders'...

Crop models are a key tool to develop adaptation strategies in the agriculture sector. With their evolution over time, crop models have been incorporating new approaches and tools. This paper proposes an innovative non-linear methodology to simulate crop's performance including non-linear...

Adverse weather conditions can affect both crop yield quantity and yield quality. In wheat production, especially the risk of a downgrading due to low baking quality, as indicated by the Hagberg Falling Number, can cause large economic losses after precipitation events. We here estimate...

Moscona & Sastry (2023, Quarterly Journal of Economics) - henceforth MS23 - find that cropland values are significantly less damaged by extreme heat exposure (EHE) when crops are more exposed to technological innovation. However, MS23's 'innovation exposure' variable does not measure innovation,...

There is growing concern that climate change poses a serious threat to the sustainability of the insurance business. Understanding whether climate warming is a cause for an increase in claims and losses, and how this cause-effect relationship will develop in the future, are two significant open...

Understanding global food production and productivity patterns is crucial for policy and in-vestment decisions aimed at addressing poverty, food insecurity, and climate change. This paper develops comprehensive calorific-based production and yield indexes for 144 crops, covering 98 percent of...

Although agriculture is often considered vulnerable to climate change, recent gridded crop growth modelling intercomparison exercises have found that staple crop yields will be modestly affected by global warming. However, those crop growth models also do not fully reflect impacts of increasing...

Physical climate changes due to greenhouse gas emissions are well understood. However, quantifying the economic consequences remains a major challenge. Nevertheless, such quantification is crucial for the development of effective climate protection and adaptation strategies. Especially at local...