Showing 1 - 10 of 2,079
/methodology/approach – The data are based on 1,564 farm households surveyed in Shaanxi, Henan, and Gansu provinces in Central China between …. Research limitations/implications – This research is based on primary data gathered in China. However, the authors are limited … weather data from the weather station in Ashland, Kansas which has similarities to the wheat growing regions of China. While …
Persistent link: https://www.econbiz.de/10014689579
‐arid to arid. Annual average rainfall in the area is not enough for the survival of barley and farmers are usually grassing … land can be used to supplement the rainfall to the cultivated land. This increases the share of runoff on the cultivated …
Persistent link: https://www.econbiz.de/10014867384
Purpose – The purpose of this paper is to present an overview of weather derivatives markets and to highlight the importance of the contributing factors for weather risk management such as weather sensitivity, weather forecast, and economic growth. In this paper, the prospective of using...
Persistent link: https://www.econbiz.de/10014901523
importance of the model order for the pricing of a rainfall index put option. Design/methodology/approach – For the first time a … criteria analysis of rainfall data for one weather station in the US. The outcome of this model is compared to simpler Markov …‐order model. Clear differences between the daily simulation and the burn method are found when pricing a put option on a rainfall …
Persistent link: https://www.econbiz.de/10014901595
Purpose – The purpose of this paper to develop an empirical methodology for managing spatial basis risk in weather index insurance by studying the fundamental causes for differences in weather risk between distributed locations. Design/methodology/approach – The paper systematically compares...
Persistent link: https://www.econbiz.de/10014901624
rainfall model utilizing spatial kriging and Markov chain Monte Carlo techniques is proposed to estimate rainfall histories … richer set of results. Furthermore, while the application is specific to forage production in Iowa, the rainfall model could …
Persistent link: https://www.econbiz.de/10014667092
Purpose The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in...
Persistent link: https://www.econbiz.de/10014860096
Purpose Monitoring corporate credit risk (CCR) has traditionally relied on such indicators as income, debt and inventory at a company level. These data are usually released on a quarterly or annual basis by the target company and include, exclusively, the financial data of the target company. As...
Persistent link: https://www.econbiz.de/10014825503
Purpose The purpose of this paper is to build a compact and accurate classifier for high-dimensional classification. Design/methodology/approach A classification approach based on class-dependent feature subspace (CFS) is proposed. CFS is a class-dependent integration of a support vector machine...
Persistent link: https://www.econbiz.de/10014826307
Purpose – The purpose of this paper is to provide industrial managers with insight into the real‐time progress of running processes. The authors formulated a periodic performance prediction algorithm for use in a proposed novel approach to real‐time business process monitoring....
Persistent link: https://www.econbiz.de/10014824361