Uncovering the factors that affect earthquake insurance uptake using supervised machine learning
The escalating threat of natural disasters to public safety worldwide underlines the crucial
role of effective environmental risk management tools, such as insurance. This is particularly …
role of effective environmental risk management tools, such as insurance. This is particularly …
An analysis of the impact of unconventional oil and gas activities on public health: New evidence across Oklahoma counties
The expansion of unconventional oil and gas development (UNGD) in the US has been
highly controversial so far with no consensus on its health, economic, environmental, and …
highly controversial so far with no consensus on its health, economic, environmental, and …
Vulnerability of populations exposed to seismic risk in the state of Oklahoma
During the past decade, the number of earthquakes has increased dramatically in the state
of Oklahoma, largely attributed to induced seismicity from wastewater injections (hydraulic …
of Oklahoma, largely attributed to induced seismicity from wastewater injections (hydraulic …
“Are they aware, and why?” Bayesian analysis of predictors of smallholder farmers' awareness of climate change and its risks to agriculture
JN Ng'ombe, MC Tembo, B Masasi - Agronomy, 2020 - mdpi.com
While climate change threatens global food security, health, and nutrition outcomes, Africa is
more vulnerable because its economies largely depend on rain-fed agriculture. Thus, there …
more vulnerable because its economies largely depend on rain-fed agriculture. Thus, there …
Impacts of interlocked contractual arrangements on dairy farmers' welfare in Zambia: a robust Bayesian instrumental variable analysis
While contract farming and interlocked contractual arrangements (ICAs) are generally
perceived to resolve persistent market failures and improve smallholder farmers' welfare in …
perceived to resolve persistent market failures and improve smallholder farmers' welfare in …
Can women's empowerment in livestock farming improve household food security? Empirical evidence from rural households in Malawi
T Mataka, S Kaitibie, NN Ratna - Agriculture & Food Security, 2023 - Springer
Background Over the years the Government of Malawi has launched several initiatives to
improve food security in the country. Despite these efforts there have been limited …
improve food security in the country. Despite these efforts there have been limited …
Modeling household earthquake hazard adjustment intentions: an extension of the protection motivation theory
While existing literature has explored how hazard experience, salience, and demographics
characteristics shape threat appraisal and hazard adjustment intentions, this study expands …
characteristics shape threat appraisal and hazard adjustment intentions, this study expands …
Bayesian optimal dynamic sampling procedures for on-farm field experimentation
JN Ng'ombe, BW Brorsen - Precision Agriculture, 2022 - Springer
For many decades, researchers have relied on small-scale agronomic experiments to
provide input management recommendations to farmers. However, such experiments have …
provide input management recommendations to farmers. However, such experiments have …
The relation between wheat, soybean, and hemp acreage: a Bayesian time series analysis
J Han, JN Ng'ombe - Agricultural and Food Economics, 2023 - Springer
Abstract The 2018 United States Farm Bill has opened the possibility for farmers to increase
their profits through hemp cultivation. The literature suggests hemp has the potential to …
their profits through hemp cultivation. The literature suggests hemp has the potential to …
Using Hamiltonian Monte Carlo via Stan to estimate crop input response functions with stochastic plateaus
JN Ng'ombe, DM Lambert - Journal of Agriculture and Food Research, 2021 - Elsevier
Bayesian analysis provides a principled way to quantify uncertainty and incorporate data
and prior knowledge into parameter estimates. This paper makes the latest in Bayesian …
and prior knowledge into parameter estimates. This paper makes the latest in Bayesian …