The increasing trends of integrated and concentrated broiler production results in a serious threat to environment through excessive litter production and lack of its proper disposal. Production concentration in limited area is a major source of surface as well as ground water pollution....

This is a survey paper of the recent literature on the application of semiparametric–econometric advances to testing for functional form of the environmental Kuznets curve (EKC). The EKC postulates that there is an inverted U-shaped relationship between economic growth (typically measured by...

The theoretical and practical importance of relational exchange is well known. However, customers are often annoyed at companies relationship building attempts. In addition, the literature has three core problems: (1) the relational concept is not well defined; (2) little research has accounted...

Little literature exists that analyzes the historical risk and return associated with investing in the US agricultural sector. However, several observable trends have recently made investing in the US agricultural sector an area of interest among investors. Stock price indexes are a commonly...

The presence of mercury in the U.S. fish supply is a growing public health concern. At high levels, mercury can be harmful to humans and ecosystems, and represents a growing threat not only to public health, but also to the economic and ecological viability of many fisheries. This research...

Expanding on the Theory of Location, New Economic Geography, and Porter's Theory of Clusters this dissertation attempts to identify key factors influencing the location of firms in a resource-based industry. The softwood lumber industry in the United States is used as a case study to test...

Machine learning (ML) is a novel method that has applications in asset pricing and that fits well within the problem of measurement in economics. Unlike econometrics, ML models are not designed for parameter estimation and inference, but similar to econometrics, they address, and may be better...