The Impact of Central American Free Trade Area (CAFTA) on the United States sugar market

This paper tries to estimate the impact of establishment of CAFTA on the United States sugar market. We use the United States sugar demand elasticity and the amount of increase in the U.S. sugar import quota under CAFTA agreement to estimate the magnitude of this effect. This study shows that these increased imports will result in a decrease in the U.S. domestic sugar price of about 1.7 cents, or approximately 8.6 percent. Although it amounts to only pennies per pound, this decrease in the domestic price could result in the incursion of significant U.S. government expenditures given the current structure of the U.S. non-recourse loan program.International Relations/Trade,

Identifying Human Trafficking Networks in Louisiana by Using Authorship Attribution and Network Modeling

Human trafficking or modern slavery is a problem that has plagued every U.S. state, in both urban and rural areas. During the past decades, online advertisements for sex trafficking have rapidly increased in numbers. The advancement of the Internet and smart phones have made it easier for sex traffickers to contact and recruit their victims and advertise and sell them online. Also, they have made it more difficult for law enforcement to trace the victims and identify the traffickers. Sadly, more than fifty percent of the victims of sex trafficking are children, many of which are exploited through the Internet. The first step for preventing and fighting human trafficking is to identify the traffickers. The primary goal of this study is to identify potential organized sex trafficking networks in Louisiana by analyzing the ads posted online in Louisiana and its five neighboring states. The secondary goal of this study is to examine the possibility of using authorship attribution techniques (in addition to phone numbers and ad IDs) to group together the online advertisements that may have been posted by the same entity. The data used in this study was collected from the website Backpage for a time period of ten months. After cleaning the data set, we were left with 123,436 ads from 47 cities in the specified area. Through the application of network analysis, we found many entities that are potentially such networks, all of which posted a large number of ads with many phone numbers in different cities. Also, we identified the time period that each phone number was used in and the cities and states that each entity posted ads for, which shows how these entities moved around between different cities and states. The four supervised machine learning methods that we used to classify the collected advertisements are Support Vector Machines (SVMs), the Naïve Bayesian classifier, Logistic Regression, and Neural Networks. We calculated 40 accuracy rates, 35 of which were over 90% for classifying any number of ads per entity, as long as each entity (or author) posted more than 10 ads

The Environmental Kuznets Curve Under a New framework: Role of Social Capital in Water Pollution

We advance a case for an inclusion of social capital in the environmental Kuznets curve analysis using highly disaggregated data on water pollution in Louisiana. A social capital index and other variables are used in parametric and spatial panel regression models to explain water pollution dynamics.Environmental Economics and Policy,

Does Social Capital Have a Role in Environmental Kuznets Curve? Spatial Panel Regression Approach

We advance a case for an inclusion of social capital in the environmental Kuznets curve analysis using highly disaggregated data on water pollution in Louisiana. A social capital index and other variables are used in parametric and spatial panel regression models to explain water pollution dynamics.social capital, principal component analysis, environmental Kuznets curve, spatial regression, Environmental Economics and Policy,

Does Ride Sharing have Social Benefits?

The social impacts of the sharing economy facilitated through the advancements of information technology is the subject of policy debates. For instance, the deployment of ride sharing on a large scale using smartphones has detractors who ask for new regulations. Research into the social effects of ride sharing are therefore an important contribution to better understand cost and benefits to society as a whole. This study investigates the relationship between the implementation of the UberX service and drunk driving. Our findings reveal that there is an association between UberX deployment and a decline in the number of DWI fatalities among youth ages 17-34, while there is a much smaller non-significant effect for the population ages 35 and older which may be due to this new technology being more adopted among younger people than older people. City officials should take into consideration the positive effects of ride sharing when designing regulations

The Impact of Ethanol Production on the U.S. Gasoline Market

This paper uses a simultaneous equation system to determine the impact of ethanol fuel production on the U.S. motor gasoline market, especially gasoline prices. Based on estimation results, every billion gallon increase in ethanol production decreases gasoline prices by as much as 6 cents

The Impact of Central American Free Trade Area (CAFTA) on the United States sugar market

This paper tries to estimate the impact of establishment of CAFTA on the United States sugar market. We use the United States sugar demand elasticity and the amount of increase in the U.S. sugar import quota under CAFTA agreement to estimate the magnitude of this effect. This study shows that these increased imports will result in a decrease in the U.S. domestic sugar price of about 1.7 cents, or approximately 8.6 percent. Although it amounts to only pennies per pound, this decrease in the domestic price could result in the incursion of significant U.S. government expenditures given the current structure of the U.S. non-recourse loan program

The Environmental Kuznets Curve Under a New framework: Role of Social Capital in Water Pollution

We advance a case for an inclusion of social capital in the environmental Kuznets curve analysis using highly disaggregated data on water pollution in Louisiana. A social capital index and other variables are used in parametric and spatial panel regression models to explain water pollution dynamics

Impact of Corn Based Ethanol Production on the U.S. High Fructose Corn Syrup (HFCS) and Sugar Markets

The objective of this paper is to determine the impact of ethanol production on the sweetener market in the U.S. It was found that ethanol production has increased corn demand and prices, and therefore, may have a negative impact on HFCS production and increase the demand for sugar

Does Social Capital Have a Role in Environmental Kuznets Curve? Spatial Panel Regression Approach

We advance a case for an inclusion of social capital in the environmental Kuznets curve analysis using highly disaggregated data on water pollution in Louisiana. A social capital index and other variables are used in parametric and spatial panel regression models to explain water pollution dynamics