The first essay compares six common models, linear, quadratic, Cobb-Douglas, translog, logarithmic, and transcendental, to estimate wheat yield and area functions for Saudi Arabia. Data cover 1990-2016 for all the variables that affect wheat supply. After testing the models using Box-Cox, multicollinearity, and autocorrelation tests, we decide that the Cobb-Douglas models provide the best fit for both yield and area. We find the price elasticity of wheat is inelastic. Yield price elasticities are more inelastic than area elasticities. The impact of government policy number 335 has a larger effect on area than yield. The cultivated area of wheat, the one-year lag of yield, and the number of machines per hectare are the most influential factors affecting wheat yield. The primary factors influencing the area models are a one-year lag of both cultivated area and yield, as well as the number of machines per hectare. The second essay estimates the residual demand elasticity that rice exporters face in Saudi Arabia. The inverse residual demand methods, as proposed by Reed and Saghaian 2004, are used for rice exporters to Saudi Arabia during the period 1993-2014. Estimation results of the elasticities of the residual demand indicate that Australia, India, and Pakistan enjoy market power, while Egypt faces a perfectly elastic demand curve. We find Thailand and the US had positive inverse residual demand which means they also have no market power. The last essay is about the virtual water trade in Saudi Arabia. Using the concept of virtual water introduced by Allan 1994 and developed by Hoekstra and Hung (2002), we estimate virtual water trade for 20 crops of Saudi Arabia during 2000-2016. Our result shows the average virtual water trade was 12.5 billion m3/year. Saudi has net virtual water imports, with the most significant virtual water imports coming from cereals & alfalfa and vegetables; and there is net virtual water export of fruit. Saudi virtual water trade reduces pressure on water resources by 52%. Distance plays a role in Saudi virtual water export; we found that more than 90% of exports go to neighboring countries, including 45% to GCC countries. More than 30% of virtual water imports come from Europe. A Gravity model is used to investigate whether water scarcity variables influence trade. We compare the OLS, Fixed effects, Random effects, and PPML estimators to get the best model. The AIC, and tests for multicollinearity, and heteroskedasticity assist in determining estimation procedures and the final models. We cluster the errors by distance to improve the specific country effect variables such as economic mass variables. For the cereals and alfalfa group, we find that water-related variables influence virtual water imports of cereals, millet, sorghum, corn, barley, and sesame. Therefore, we suggest that a basic gravity model be applied to the other crops. In the vegetable group, we find that related water variables impact virtual water trade for all crops except marrow. Dates are the only fruit crop that are not influenced by the water-related variables.

The Lugnetgymnasium in Falun has a graphic education that supplies a color printer, which is availablefor the students in their hall. The printer is a Ricoh AFC 6513 and it is a model that can handlevariable data. It was bought in the autumn of 2002. The teachers of the graphic education want to makeuse of the variable data function and procure a variable data software. The purpose of this project is toevaluate variable data software’s, so that the most suitable choice of software can be made for the graphiceducation. To be able to make this choice, criterions has been made what the variable data softwarewill fulfil. Different software’s of variable data has been examined and a summary was made whichtells what software that fulfils all the criterions. The software’s that seemed appropriate for the graphiceducation were PrintShop Mail and Personalizer-X. Adecision which one of these software’s thatwill be purchase was made by the teachers on the graphic education. Tests and a more detailed studyon the software’s have been done. The information has later been presented for the teachers. They madea decision, which were Personalizer-X. After this decision, an easier manual for Personalizer-X wasmade. The purpose with the manual is that the students on the graphic education, quickly and easy canget started with the use of variable data.

In view of the postponement of negotiations for the modernization of the EU-Turkey customs union, this paper is aimed to look back and examine the ex-post impacts of the CU by examining its trade creation and diversion effects. The study tests effects of 44 countries (including Turkey, 28 EU and 15 non-EU countries) with aggregated data for time period from 1989 to 2019 and disaggregated sectoral trade data from 1995 to 2019. For estimation, the gravity model with strong theoretical and empirical foundation is used by combining various fixed effects with PPML method. The results from the aggregated analysis confirm the trade-promoting effects of the EU-Turkey customs union with mixed effects on both trade within the members (intra-trade creation effects) and trade with non- members (extra-trade creation effects). But the trade diversion is not significantly proved in the model. Besides, a substantial heterogeneity in the CU effect is found across different industries, suggesting the CU has significantly improved the trade on textiles, transportation, machinery, metals and plastics/rubbers, but negligibly influence agriculture, mineral and chemicals. Furthermore, the study also evidences that the impact of the CU is stronger in EU's export to Turkey than Turkey's export to the EU. Finally, CU's...

This research explores the link between a gravity model and welfare frameworks and then applies the quantitative model system to analyze how trade and welfare is affected by the Minimum Required Performance Limits (MRPL) in the shrimp importing market of European Union. The quantitative model system consists of two parts: first, this study uses the “phi-ness” gravity model to investigate the trade effects of MRPL on EU shrimp market. The “phi-ness” gravity model partitions the standard variables to avoid biased estimation caused by the correlation between time and country fixed effects and policy variables. The Poisson Pseudo Maximum Likelihood (PPML) method is incorporated into the estimation in order to control for the zero valued observations. Second, based on the theoretic foundation of the gravity model, this research sets up the specific nested Constant Elasticity of Substitution (CES) model of consumers’ utility and further explores the linkage between these two models. The nested CES model incorporates the effects of MRPL on consumers’ confidence in domestic food as well as foreign food imported from developed and developing countries. The empirical results confirm a consistent fact with previous empirical studies: stricter MRPL has significant and negative effects on trade integration between EU and trading partners with lower level of food safety standards. The welfare analysis shows that the zero tolerance policy of MRPL standard would dramatically enhance consumers’ demand for domestic shrimps and foreign shrimps imported from developed countries but reduce the quantity of shrimp supplied from developing countries. It is also indicated that the increased level of MRPL lead to an increase in welfare of domestic consumers, suppliers in developing countries, and in total international trade, as well as a decrease in the welfare of domestic suppliers and foreign suppliers from developed countries. The empirical results also indicate that the combination of GM and Welfare Approach can also be applied to research on other standards or other industries.

In this dissertation, we use unique data set to examine bilateral Foreign Direct Investments (FDI) data and find determinant factors of bilateral FDI activities. In Chapter 1, we examine the relationships among the bilateral annual non-aggregated national level FDI, all levels of Economic Integration Agreements (EIAs) and political turnovers happened in both FDI exporting countries and FDI importing countries. In Chapter 2, we test the Tariff-Jumping FDI hypothesis and Export-Oriented FDI hypothesis. In Chapter 3, we examine and determine the key determinant factors of Cross-Hauling FDI status.

<p dir="ltr">The research work presented in this thesis focuses on two highly important topics in the modern age. The first topic of research is the development of various image-based Network Intrusion Detection Systems (NIDSs) and performing a comprehensive analysis of their performance. Wi-Fi networks have become ubiquitous in enterprise and home networks which creates opportunities for attackers to target the networks. These attackers exploit various vulnerabilities in Wi-Fi networks to gain unauthorized access to a network or extract data from end users' devices. The deployment of an NIDS helps detect these attacks before they can cause any significant damages to the network's functionalities or security. Within the scope of our research, we provide a comparative analysis of various deep learning (DL)-based NIDSs that utilize various imaging techniques to detect anomalous traffic in a Wi-Fi network. The second topic in this thesis is the development of learning modules for security and privacy in Machine Learning (ML). The increasing integration of ML in various domains raises concerns about its security and privacy. In order to effectively address such concerns, students learning about the basics of ML need to be made aware of the steps that are taken to develop robust and secure ML-based systems. As part of this, we introduce a set of hands-on learning modules designed to educate students on the importance of security and privacy in ML. The modules provide a theoretical learning experience through presentations and practical experience using Python Notebooks. The modules are developed in a manner that allows students to easily absorb the concepts regarding privacy and security of ML models and implement it in real-life scenarios. The efficacy of this process will be obtained from the results of the surveys conducted before and after providing the learning modules. Positive results from the survey will demonstrate the learning modules were effective in imparting knowledge to the students and the need to incorporate security and privacy concepts in introductory ML courses.</p>