Results 71 to 80 of about 12,901 (265)

Utilizing Satellite Surface Soil Moisture Data in Calibrating a Distributed Hydrological Model Applied in Humid Regions Through a Multi-Objective Bayesian Hierarchical Framework

Remote Sensing, 2019
The traditional calibration objective of hydrological models is to optimize streamflow simulations. To identify the value of satellite soil moisture data in calibrating hydrological models, a new objective of optimizing soil moisture simulations has been
Han Yang, Lihua Xiong, Qiumei Ma, Jun Xia, Jie Chen, Chong-Yu Xu   +5 more
doaj   +1 more source

Crop insurance and irrigation behavior: The conditional role of pumping costs

American Journal of Agricultural Economics, EarlyView.
Abstract Excessive water use for irrigation can accelerate the depletion of water resources, undermining agriculture's resilience to weather‐related shocks. Understanding how farmers make water use decisions is essential for developing effective water management policies.
Sungmin Cheu, Molly Sears
wiley   +1 more source

Improving access to new technologies: An experiment with Kenyan input sellers

American Journal of Agricultural Economics, EarlyView.
Abstract Agrodealers play a critical role in rural economies, selling essential inputs for agricultural production, stocking new products, and providing farmers with technical advice. However, uncertainty can discourage them from stocking newer, less familiar products, limiting the availability of innovative technologies and leading to market failures ...
Sarah W. Kariuki, Francisca N. Muteti, Annemie Maertens, Michael Ndegwa, Hope Michelson, Mercy Mbugua, Jason Donovan   +6 more
wiley   +1 more source

Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments

Journal of Hydrology: Regional Studies
Study Region:: France, 235 catchments. Study focus:: Improving spatially distributed hydrological modeling, especially for flood forecasting over large areas, is a challenging task with sparse discharge data and generally consists in difficult ill-posed ...
Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle   +7 more
doaj   +1 more source

Risk management externalities in agrifood supply chains

American Journal of Agricultural Economics, EarlyView.
Abstract Firms may under‐ or over‐invest in risk management from the social planner's perspective, resulting in a negative externality on other economic agents in the supply chain. The externality of risk management is particularly relevant for agrifood supply chains, which frequently experience disruptions and play a primary role in preventing major ...
Jeffrey Hadachek, Meilin Ma
wiley   +1 more source

Premium subsidy designs and crowding out of insurance demand

American Journal of Agricultural Economics, EarlyView.
Abstract Crop insurance is an important instrument to protect farmers against extreme weather events. Many countries provide subsidies for crop insurance products to make insurance more affordable for farmers. The Federal Crop Insurance Program in the United States and major European crop insurance programs such as in Spain, Italy, and France focus on ...
Tim Philippi
wiley   +1 more source

Firm turnover under asymmetric information: Tanzania's agro‐dealer sector

American Journal of Agricultural Economics, EarlyView.
Abstract We study firm turnover (i.e., entry and exit) and its consumer implications in a market characterized by asymmetric information. Using a three‐round census of agro‐dealers in Tanzania's Morogoro Region, we document annual firm entry and exit rates of 33% and 17%, respectively.
Alix Naugler, Hope Michelson, Sarah Janzen, Christopher Magomba   +3 more
wiley   +1 more source

Coupling Deep Learning and Physically Based Hydrological Models for Monthly Streamflow Predictions

Water Resources Research
This study proposes a new hybrid model for monthly streamflow predictions by coupling a physically based distributed hydrological model with a deep learning (DL) model.
Wenxin Xu, Jie Chen, Gerald Corzo, Chong‐Yu Xu, Xunchang John Zhang, Lihua Xiong, Dedi Liu, Jun Xia   +7 more
doaj   +1 more source

The causal effect of agricultural landscape simplification on Germany's grasslands during a compound drought and heatwave in 2018

American Journal of Agricultural Economics, EarlyView.
Abstract Preserving ecosystem services, along with economic and environmental benefits, will require future landscape policies to identify and incorporate relevant landscape features. In this paper, we investigate the causal effect of agricultural landscape simplification on drought‐related grassland damages.
Marco Ferro, Jan Börner, Silke Hüttel, Katja Kowalski, Patrick Hostert, Krisztina Kis‐Katos   +5 more
wiley   +1 more source

Income sharing for common pool resources with uncertain productivity

American Journal of Agricultural Economics, EarlyView.
Abstract We address the interconnected issues of externalities in the use of a natural common‐pool resource system and adverse effects of environmental uncertainty on risk‐averse resource users. We set up a simple analytical model and derive conditions such that insurance by means of an income sharing mechanism mitigates externalities and hence ...
Claudia Kelsall, Martin Quaas, Nicolas Quérou   +2 more
wiley   +1 more source