Monday, December 30, 2019

Internet and Online Games Addiction - 1839 Words

Introduction Playing games is a natural part of growing up. It’s one way that kids learn to socialize and compete. Computer and online games, in most instances, are no more dangerous than other games that kids play. But sometimes, computer and online games become more than just play. They become an addiction. And when they become an addiction, your child’s psychological and physical well-being may be in jeopardy. Escaping into games When your kids play games online, is it play? Or is it something darker? Addiction to computer and online games is a real and growing problem. It affects both kids and adults. Often the most addictive games are the online multi-player games. They include role-playing, endless levels of achievement, and an IM or†¦show more content†¦Engage your children in regular conversations about their lives. Have dinner together every day. If they spend more than an hour a day in front of the computer, ask them what’s going on. If their grades suffer or their friends stop calling, ask why. If you detect a problem or a behavioral change, address it immediately; don’t let it slide. If you detect addiction, address it. Limit computer time. Put the computer in a public area of the home. If the problem persists, perhaps you should seek professional psychological help. A gaming addiction is very similar to other addictions, such as drugs, alcohol, or gambling. Helping a child bea t the addiction may require expertise that a parent can’t provide. According to Dr. Douglas Gentile, Director of the Media Research Lab at Iowa State University and the director of research for the National Institute on Media and the Family, states, It is important that people realize that playing a lot is not the same thing as pathological play. For something to be an addiction, it has to mean more than you do it a lot. It has to mean that you do it in such a way that it damages your life.†Ã¢â‚¬  Ã¢â‚¬  Ã¢â‚¬   In other words, many, if not most, kids who play online games are just playing games. It’s a healthy part of their life. If you see that game playing is becoming damaging to some aspect of their life, it’s time to act. Addicted to games: Internet game addiction One form of internetShow MoreRelatedWhat is Internet Addiction?1202 Words   |  5 Pagesimportant products of technology is the internet. The World Wide Web (www) is part of almost everyone’s everyday life. In addition to the uses of computers, we can use our hand held devices to access the internet as well. The ability to have unlimited access to the internet from anywhere at any time has become the cause of a serious addiction that affects about one in every eight Americans; this addiction is referred to as Internet Addiction. Internet addiction is a compulsive behavioral disorder whichRead MoreEssay on Internet addiction1725 Words   |  7 PagesInternet and Video Game Addiction Internet addiction is a worldwide disorder that is oblivious to the technological age we live in. Since its inception in 1991 (Livingstone), the World Wide Web has only improved our quality of life. People don’t perceive online technology as a problem but as a solution to make our lives cheaper and efficient. As a working college student, my whole life is run on the internet. I use Facebook religiously to keep in-touch with my friends, I play Xbox Live to competeRead MoreOnline Gaming Addiction Among Teenagers1565 Words   |  7 Pagesof the issue related with gaming The playing of online games impacts teenage gamers socially, educationally, ethically and psychologically on teenagers. This issue involves numerous stake holders. They are mainly teenagers, parents, friends, policeman, and the game company. The advantage of playing online game is that it allows people to communicate to numerous numbers of others from different cultural backgrounds and countries. In the game, a gamer may want to exchange his item with someoneRead MoreOnline Addiction : A Growing Problem1008 Words   |  5 PagesAbstract Online addiction is a growing problem. There have been numerous studies on online addiction and the affects it has on people, their lives and their families. More and more people spend large amounts of time with their online endeavors. Some people spend so much time online that it affects their everyday life in negative ways. They suffer from lose sleep, avoid family and friends and even skip out on school and work. What activities when done in excess are considered online addiction? WhatRead MoreIs Internet Addiction Disorder? Essay1483 Words   |  6 Pages Internet addiction disorder, more commonly called problematic Internet use, refers to excessive computer use which interferes with daily life. Internet overuse, problematic computer use, or pathological computer use, problematic Internet use, or Internet addiction disorder. In the most recent version of the DSM-5, Internet Gaming Disorder is the latest term to describe this problem. History IAD was originally proposed as a disorder in a satirical hoax by Ivan Goldberg, M.D., in 1995, althoughRead MoreOnline Games Addiction And Its Effects On Society810 Words   |  4 PagesIt is widely agreed that the internet is one of the best innovations that has facilitated the life of humanity in the last twentieth century. It has aided most of researchers around the world to develop their studies in different areas such as medical and academic fields since the internet has made the finding of information much easier than before. However, the excessive use of the internet can lead to serious problems that may influence people health and can cause mental and medical complicationsRead More The Internet Has a Negative Impact on American Families Essay1067 Words   |  5 PagesThe Internet Has a Negative Impact on American Families Does the Internet truly have a negative impact on today’s family life? Many say that is most definitely does. Have you ever known someone who is obsessed with the Internet or spends more time on the Internet than they had intended to? You might begin to think they are addicted. Ricco Siasoco defines Internet addiction as â€Å"a broad term including users addicted to chat rooms, auctions, web surfing, among others.† These otherRead MoreBenefits Of Playing Video Games1421 Words   |  6 PagesOnline gaming has become a serious problem in the society especially among young adults. This is because, most young adults are now stuck on their computers and internet, playing games all day. This has led to serious gaming problems among such individuals because they have no social life outside of the game world. Playing game, is a good way of having fun and developing one’s cognitive ability. The benefits of playing video games are numerous when done in m oderation. â€Å"Playing brain-teasing gameRead MoreThe Problem Of Online Gaming1677 Words   |  7 Pagesspread of internet use to many homes and the advancement of technology that has allowed gaming to become a form of entertainment that can be found in most homes in the modern developed world. Gaming has become a past time that most kids experience and some of those children continue their gaming experience all the way in to adulthood as a hobby. Online gaming is a relatively new experience, having really been brought into light in the past decade with the introduction of broadband internet. (CashRead MoreThe Internet Addiction Disorder1152 Words   |  5 Pagesincreasing problem streaming throughout the global society today is IAD or Internet Addiction Disorder. Our culture along with many others has been consumed with the ease and pleasure of shopping, gaming, and social networking through online portals to the point that it has become an overwhelming problem for some peop le. What Internet Addiction Disorder is exactly has been the topic of much debate and so has what makes internet addiction so addicting. IAD is a serious problem and is receiving attention from

Sunday, December 22, 2019

Essay on Left vs. Right Brain - 1085 Words

Left vs. Right Brain The idea that the left and right sides of the brain can control many different aspects of behavior in different categories is an interesting one. Four websites which consider this concept are Neuro Pearls, the American Speech-Language-Hearing Association website, Left vs. Right Brain Modes, and SPLITTING THE HUMAN BRAIN. In Left Vs. Right Brain Modes, a direct comparison is presented in several categories. The left hemisphere is described as verbal, analytical, logical. The right hemisphere is nonverbal (responding to touch and music), intuitive, and sensory. In some ways the descriptions fit with the left- handed artist stereotype, such as the left hemisphere being factual, and the right brain responsive to†¦show more content†¦The presence of the language function in either hemisphere can be determined using the Wada test, in which a barbiturate is injected into an internal carotid artery and the effects upon language are observed. It is still unknown why handedness and language dominance are related in the brain, or why language is not bilateral. The American Speech-Language-Hearing Association (ASHA)s website contains the article Language: Left Brain? Right Brain? Both? which describes the history of discovering the two hemispheres have different duties to the body, especially in terms of handedness and speech. Damage to the left side of the brain in most of Dr. Marc Daxs patients caused a loss of speech (1836). After his death, many more similar reports were recorded. Much later, the right hemisphere was found to control essential functions as well. Since the effects of right hemisphere damage are more subtle, as seen in the first website, this conclusion took much longer to reach. For example, a loss of speech would not be apparent, but instead irrelevant and rambling speech would be observed. It is concluded from this site that both hemispheres are needed for a normal use of language, and to categorize the two hemispheres (as was done in the first website) would be gross oversimplification. Paul Pietschs SPLITTING THEShow MoreRelatedleft brain vs right brain1430 Words   |  6 Pagesï » ¿ Left Brain vs. Right Brain: Implications of Learning Foundations of Online Learning Abstract A left-brain dominant person’s attributes are different than that of a right-brained person. This difference causes these two groups to have different learning styles. A left-brain dominant tends to be better at spelling and math. This is because this person can see all of the pieces. A right- brain dominant person tends be better at writing, biology, and otherRead MoreLeft Brain vs. Right Brain838 Words   |  4 PagesLeft Brain vs. Right Brain â€Å"According to the theory of left-brain or right-brain dominance, each side of the brain controls different types of thinking.† (Cherry 2012) From books to television programs, youve probably heard the phrase mentioned that people are either right brained or left brained thinkers or perhaps you have gone online to take a test to see which one you are. Psychologist have been researching the brain to try and understand learning capability’s that can help with such thingsRead MoreLeft Brain vs Right Brain950 Words   |  4 Pagesin the world. The brain has a lot to do with our learning. In terms of how we learn and what hemisphere we use the most. The concept of the right and left brain think developed from research in the late 1960s by an American psychologist Roger W Sperry. The correct term for the halves would be hemispheres. Mr. Sperry had discovered that the human brain has two different ways of thinking. The right hemisphere being more visual and the left he misphere being more verbal. The left hemisphere is knownRead More Left Brain vs Right Brain Essay1512 Words   |  7 PagesThe Left Brain vs The Right Brain: How Does This Impact Learning Do you ever hear some people say that, ‘I learn this way, because I’m left or right brain dominant,’ but what is your learning style? Some people go majority of their life, not knowing which learning style works for them. It is good to know what this learning style is so people can respond most effectively to the material being presented. Templeton (2003). The better people know their own learning style, the faster they can developRead MoreEssay on Left Brain vs. the Right Brain916 Words   |  4 PagesThe brain has its own functions and is divided into two hemispheres: the left hemisphere and the right hemisphere. Also, has its own way of processing information and each lobe has its specific roles. What happens when damage to the brain occurs? How does it rewire itself to process information or learn new activities?. Damage to each hemisphere of the brain has different effects on the way individuals learn since each hemisphere is in charge of different fun ctions. Furthermore, the brain processesRead MoreThe Left Brain vs. the Right Brain and Its Effect on Learning672 Words   |  3 PagesLeft Brain vs. the Right Brain and it’s Effects on Learning The left side of the brain and the right side of the brain are said to have specific functions relative for each side (Melina, 2011). The left side of the brain is said to be responsible for interpreting language, sound, and speech (Melina, 2011). According to Cherry (2014), the right side of the brain is said to control face recognition, creativity, and emotions conveyed when reading among others. Each student processes and absorbs informationRead MoreLearning: Left-Brain vs. Right Brain Essay1027 Words   |  5 Pagesthis mystery. The brain is divided into two sections. They are known as the left hemisphere and the right hemisphere. Individually they have different functionalities but collectively they make up the person as a whole and can give some explanation as to why a person process and learn the way they do. Hopefully, by the end of this read you will better understand this phenomenon and make it work for you. One of the major forces behind research into the mysteries of the human brain is Mr. Roger SperryRead MoreLeft Brain vs Right Brain Research Paper947 Words   |  4 PagesLeft brain VS Right brain Matthew Stafford Davenport University 10/25/2012 Right Brain Your brain processes and reacts to certain situations in many different ways. This is directly due to either being left brain or right brain. What is left brain or right brain you ask? People use either side to approach solutions to a variety of problems with different outcomes. People who are left brain tend to approach each problem with an analytical point of view. Right brain thinkers tend toRead MoreLeft Brain vs Right Brain: How Does It Impact Learning1345 Words   |  6 Pages|The left and right hemispheres of our brain process information in different ways. We tend to process information using our dominant side. However, the learning and thinking process is | |enhanced when both side of the brain participate in a balanced manner. This means strengthening our less dominate hemisphere of the brain. In trying to differentiate between the left and | |right brain, My paper will show information processing styles that are characteristically used by our right or left-brainRead MoreLeft Brain vs Right Brain; How It Affects Learning Essay1147 Words   |  5 PagesThe Left Brain vs. The Right Brain: How This Impacts Learning Troy J. Miller COLL100 I059 Sum 12 American Public University System Megan Doyle The Left Brain vs. The Right Brain: How This Impacts Learning Over years there has been extensive research done by different psychologists suggesting that our brain works in two different ways. Some of these researchers also believe that the left and right sides of our brain work hand in hand with each other, and that one cannot function

Saturday, December 14, 2019

Oil and Dutch Disease Free Essays

ECONOMICS FOR BUSINESS Project Report on – Oil and the recent ?Dutch Disease? – The Case of the United Arab Emirates Submitted by – Amitava Manna 1|Page Table of Contents Introduction †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 2 Purpose †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ UAE Background †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã ¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. We will write a custom essay sample on Oil and Dutch Disease or any similar topic only for you Order Now 4 Theoretical Framework †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 4 Empirical Findings and Analysis †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦. 6 Data †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. Descripti ve Statistics †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 6 The Regression Model †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦ 8 Conclusions: †¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦Ã¢â‚¬ ¦.. 10 2|Page Introduction Four decades ago, the United Arab Emirates (U. A. E) landscape and infrastructure consisted of not much more than deserts where sheikhdoms survived on fishing, pearling, herding and agriculture. Today, Abu Dhabi and Dubai are two of the most developed emirates in the country dominated by roads, luxury homes, and skylines (consisting of modern glass and steel skyscrapers). The new modern infrastructure has replaced the undeveloped cities that once existed before. To say the least U. A. E has transformed from a desert into a developed country1 with a high gross domestic product (GDP) reaching $192. 03 million2 in 2010. According to the Global Competitiveness Report 2008-2009, U. A. E was ranked number 31 globally for its growth competitiveness. The large boost in U. A. E? s development and economy is founded on the export of the country? s oil and petroleum-based products since 1958, when oil was first discovered in Abu Dhabi. Almost 10 percent (%) of the world? s current oil reserves are controlled by the U. A. E, enabling it to comm and more than 16% of OPEC? s total reserves. The aim of the U. A. E? economy is to minimize its dependency on oil; therefore much focus has been targeted on diversifying the economy during the past two decades. In turn, making it more dependent on the service sector, especially high-class tourism as well as expanding the international finance sector. In both developed and developing countries, a natural resource boom, (as experienced in U. A. E) has triggered the so called „Dutch Disease?. It is a theory that originates from the Netherlands in the 1970s, basically explaining a decline in the traditional manufacturing sector when the country experiences a boom in their natural resource. The Dutch Disease indicates that the natural resource abundant factor triggers an appreciation of the domes- tic currency. In turn, other non-resource exporters are affected at the same time and the manufacturing sector experiences a constrained activity to compete in the world market. Furthermore, the agricultural sector undergoes a decline as labor moves to either the booming sector or the non-tradable sector. The case of the Dutch Disease would be a problem to the U. A. E since it causes the shift of labor and production for the tradable sector to the non-tradable sector causing a decline in the country? exports of manufacturing and agricultural goods. The decline in exports of U. A. E? s traditional tradable goods de-creases production of the goods affecting the country? s economy in a negative way. Purpose The purpose of this paper is to study U. A. E? s development in economic growth since 1975 and establish if there are any signs of the Dutch Disease by testing the ratio of tr adable goods to non- tradable goods and the effects by other macroeconomic variables. 3|Page UAE Background U. A. E consists of the seven emirates Abu Dhabi, Dubai, Sharjah, Ra? al-Khaimah, Ajman, Umm al-Qaiwain and Fujairah, which are located on the southern Arabian Gulf. On the 2nd of December 1971, the country became independent after being under British rule for a period of 70 years. The independence and discovery of oil triggered the economic development in U. A. E which led to a huge expansion in the population. The population boom in U. A. E is a result of the increased demand for labor throughout the past four decades and consists for the most part (83%) of labor from foreign countries referred to as expatriates. United Nation? (UN) database illustrates the division of the labor from two perspectives; first from the year 2000 compared to the changes that prevailed in 2010. Female participation and male participation in 2000 consisted of 34. 4% in the former group and 92% in the latter group. As stated in the introduction, one of the impacts when an economy is experiencing signs of the Dutch Disease is the high inflation rate followed by a change in the real exchange rate. Fluctuations in the real exchange rate can cause resources and production to reallocate between the economy? sectors of tradable and non- tradable goods and services and is there-fore regarded as an important price in the economy. The U. A. E is one of the countries in the Middle East which follows a pegged (or fixed) ex- change rate regime, in which foreign central banks stand ready to buy and sell their currencies at a fixed price in terms of dollars. The currency of the U. A. E, the AED was first officially pegged against the USD in 1974. By the end of 1977 fluctuations occurred widely. For over two decades the USD had been used as an anchor currency in practice when it became the official anchor currency in 2002. The decision to make the USD an anchor currency was made by the member nations of the Gulf Cooperation Council (GCC) in order to establish a common currency in 2010. The U. A. E and the effects from the oil industry have not been studied to any great extent. However some studies on the Dutch Disease concerning other countries have been conducted, but these studies are mainly theoretical and lack econometric testing. The studies with statistical analysis contain time series, more observations and flexible exchange rates (which could be included in the regression model). Theoretical Framework In order to comprehend the Dutch Disease theory, theoretical model of tradable (T) and non- tradable goods4 (NT), also known as the TNT Model can be used. According to Sachs and Larrain (1993) the most important assumptions is that N can neither be exported nor imported and its domestic consumption and production must be equivalent. The opposite applies for T, consumption and production domestically can differ because of the possibility of imports and exports T. In this specific model, two goods are produced and 4|Page consumed: T and N by one factor of productivity which is labor. The supply side obtains two linear functions: QT = aTLT (T) and QN = aNLN (N), Where, production is dependent on labor. LT and LN accounts for the amount of labor used, whilst aT and aN are the marginal productivities of labor for the two sectors. In other words a T or aN units more of output is achieved if one extra unit of labor is applied in either sector. Due to the linear functions, aT and aN also account for average productivities. The demand side of the TNT model circles around consumption decisions which do not include investment spending. Total absorption, i. e. pending on T and N is expressed in the equation as followed: A = PTCT + PNCN Total absorption is defined by A and levels of consumption for T and N by CT and CN. PT and PN correspond to the price of the goods. Furthermore, Sachs and Larrain (1993) assume if the ratio CT/CN is fixed, then households consumes CT and CN in fixed proportions, (regardless of relative prices). If overall spending increases, it is followed by an increase in consumption in T and N by the same proportion and vice versa. Figure below illustrates the production possibility frontier (PPF), the consumption line and the market equilibrium for T and N in a country. The PPF shows each quantity of QT that is produced in order to produce the maximum quantity of QN. If QN = aNL then QT = 0, represented by point B in the figure. Then the factor of productivity labor is located in the N sector. If QN = 0 and QT = aTL, then labor is located in T (point D in the figure). The slope of the PPF is equal to PT/PN, i. e. the relative price of T in terms of N, which is also referred to as the real exchange rate, e, in the TNT model. Therefore, aN/aT = PT/PN = e. Figure: The PPF, Consumption Path and Equilibrium QNCN B G H ` F C E D A 5|Page QTCT Empirical Findings and Analysis Data Summary of the Macroeconomic Variables used in the Regression Ratio of tradable goods to non- tradable goods (R) Sum of tradable goods (manufacturing value added, agriculture value added) divided by the sum of non-tradable goods (services value added). Inflation as GDP deflator in annual percent. Variables that are used to classify data into mutually special categories. Here the dummy variable represent the period 1975-1980, since the change in oil price was dramatic during these years. Based on current prices and is ex-pressed in USD per barrel UN (2010) Inflation (I) Dummy variable (D1) Nation Masters Economy Statistics, U. A. E (historical data) (2010) Gujarati (2010) Price of oil (P) Annual Statistical bulletin OPEC (2010) Other variables were also tested, but due to insignificant values and to avoid problems of correlation, some of the variables were excluded from the regression models. One of the other variables tested was money supply (M1), but since this variable was highly correlated with GDP, we decided to exclude it. GDP was also excluded due to high correlation with the price of oil. Descriptive Statistics The following figure shows the change in value added of tradable goods and non-tradable goods in U. A. E throughout the period 1975-2005 expressed in billion of AED per year. Value Added in Tradable and Non-tradable in U. A. E, 1975-2009 6|Page Value (BAED) 350 300 250 200 150 100 50 0 NT T As can be seen the production of non-tradable goods has been larger than tradable goods (non-oil goods) during the entire period. The tradable sector has not in-creased as much as the non- tradable sector, i. e. non-oil production has decreased in comparison to non-tradable. In fact the non-tradable sector has increased almost twice as much as the tradable sector, which is a symptom of the Dutch Disease. One of the reasons why the non-tradable sector may have increased so much could be due to the country? s rise in export of oil throughout 1975-2009. US $ per Barrel 60 50 40 30 20 10 0 Price of Oil Inflation Rate Figure illustrates the relationship between the price of oil and the inflation rate during the period 1975-2005. We will concentrate on analyzing the inflation rate? s peak and lows and the impact from the fluctuating oil price. We can first see that there was a sharp decline in inflation from 19758 until 1978. During 1974 the inflation rate was 138. 26% according to Nation Master Economy Statistics (2010). The sharp decline could be due to that the U. A. E officially pegged 7|Page the AED to the USD in 1974. The fluctuation in the inflation rate cannot only be explained by a boom in production but also depends on other factors as well, such as the depreciation of the USD. One of the reasons why the inflation in U. A. E change so dramatically during the years 1998-2001 could be due to the burst of the â€Å"I. T-bubble† (known as the â€Å"Dot-com bubble†) in the late 1990s which affected USD negatively. The Regression Model In order to test if the chosen macroeconomic variables show indications of symptoms of the Dutch Disease, the model with the ratio of tradable goods to non-tradable goods was adopted but adjusted in order to fit this thesis. The adjusted equation is based on time series data. The presented macroeconomic variables; inflation (I) is based on the theoretical framework presented, price of oil (P) is adopted which included price of oil in the regression analysis. The dummy variable (D1) for the period 1975-1980 is which included a dummy variable for a one year period. The ratio of tradable goods to non-tradable goods serves as the dependent variable in both models, however the independent variables differ slightly; the first regression model includes inflation and price of oil as the independent variables. The second regression model also includes inflation and price of oil but a dummy variable for the period 1975-1980 was added. Model 1: R = ? 0 + ? 1P + ? 2I + ? Model 2: R = ? 0 + ? 1P + ? 2I + ? 3D1 + ? 4. 4. Econometric Problems In the beginning of the regression testing we discovered that some of the variables were correlated with one another. Money supply (M1) and GDP were the most correlated variables in the regression models, so in order to avoid multi co linearity problems we decided to exclude money supply and GDP from the regression model. The reason why the two variables were excluded was due to the high correlation between GDP an d money supply and the high correlation between GDP and price of oil. Coefficient ?1 (Price of Oil) ?2 (Inflation) ?3 (Dummy Variable) . 5 Regression Results: Sign negative or no effect negative negative or no effect 8|Page In order to make it more comprehensive for the reader, the authors summarized the coefficients and significance levels (1%, 5% or 10%) from the two different regression model results with 36 observations for the period 1975 to 2010. The R-square values show that 39. 3% (model 1) and 75. 3% (model 2) of the change in the ratio of tradable goods to non-tradable goods can be explained by the model used. The goodness of fit in model 1 on the other hand, has a poorer fit, where 39. % of the influences on the dependent variable can be explained by the model. The better fit of model 2 can be due to the additional variable tested in the second regression model, i. e. D1. In model 1 and 2 the price of oil is significant and does not support the expectation that it would h ave a negative or no effect on the ratio. Price of oil is significant at a 1% significance level in model 1 and affects the dependent variable positively. A 1% increase in the ratio of tradable goods to non-tradable goods would increase the price of oil by 0. 05840%, all else equal. In the second regression model, the price of oil is significant at a 1% level, meaning that a 1% change in the regress and would increase the price of oil by 0. 002988%, all else equal. The results from the regression models indicate that the price of oil has a positive effect on the dependent variable. This result corresponds to the authors? expectations that during a boom in natural resources, inflation has a negative effect on the ratio. The negative relationship between the inflation rate and the ratio can also be xplained by the spending effect since in a fixed exchange rate regime the inflation rate is affected by the in-crease in the money supply. The second hypothesis for model one is therefore n ot rejected and the authors can conclude that the macroeconomic variable inflation is a symptom of the disease in the country. However in the second model the inflation variable is not significant and the authors can thereby not take the variable into consideration when analyzing if the U. A. E experienced the Dutch Disease during the years 1975- 1980. Furthermore, the insignificant value of the inflation rate in model two might be due to the short time period tested, 1975-1980. The major oil price shock during this period had a negative impact on the economy of U. A. E, which negatively affected the inflation rate, leading to the insignificant-cant value in the second regression model. Time Series Regression Model 1 2: Model 1: R = ? 0 + ? 1P+ ? 2I + ? Coefficient Variable (t-stat) Constant 0. 166071*** (5. 141492) Price of Oil (P) 0. 005840*** (4. 122855) Inflation (I) -0. 352179* (-1. 38647) R2 = 0. 393393 DW = 0. 238252 *** Significant at 1% level ** Significant at 5% level * Significant at 10% level Model 2: R = ? 0 + ? 1P+ ? 2I + ?3D1 + ? Coefficient (t-stat) Constant Price of Oil (P) Inflation (I) Dummy Variable (D1) R2 = 0. 753809 DW = 0. 416614 0. 242127*** (10. 00689) 0. 002988*** (2. 915261) -0. 016530 (-0. 127760) – 0. 144894*** (-6. 287065) 9|Page Conclusions: This project is a study whether the oil boom in U. A. E during the 1970s led to symptoms of the Dutch Disease and if the country is a victim of the disease. Three hypotheses were tested and descriptive data was analyzed in order to reach a conclusion. The first hypothesis tested the authors? statement that the price of oil has a negative (or no) effect on the ratio of tradable goods to non-tradable goods. The results showed that the price of oil did have a positive effect on the ratio, meaning that even though there are changes in the price of the natural resource it does not affect the production in the non-oil sectors to decline. Hypothesis 1 is therefore rejected by us. In the mid-1980s the disease took an opposite direction when oil prices collapsed. Domestic demand dropped sharply in the oil-rich countries causing the construction industry to experience unemployment and employment shifted back to the tradable goods sectors. Therefore it can be concluded that the price of oil cannot be considered as a symptom of the Dutch Disease in the U. A. E. The second hypothesis was based on the problems of the high inflation rate U. A. E has experienced on and off during the years. Inflation was stated to have a negative effect on the ratio of tradable goods to non-tradable goods due to the fixed exchange rate. The regression results showed that inflation held a negative impact on the ratio therefore the hypo-thesis is not rejected by us. The last hypothesis was based on the high oil prices that existed during the period 1975-1980. Therefore a dummy variable was included in the hypothesis with the statement that it would have a negative (or no) effect on the ratio of tradable goods to non-tradable goods. Results showed that the dummy variable was negatively correlated with the ratio, thus the third hypothesis is not rejected. The negative relationship is in line with our expectations. One explanation for the negative impact on the ratio could be due to the oil price shock that occurred in 1979. The increase in the oil price during these years therefore affected the oil production negatively. Furthermore, the price of oil can be seen as a possible symptom of the Dutch Disease in U. A. E? s economy. How to cite Oil and Dutch Disease, Papers

Thursday, December 5, 2019

Medical Leave to University Registrar

Question: Describe about the letter for Medical Leave to University Registrar. Answer: To the University Registrar Graduate Building To the University Registrar I kindly make a petition for a retroactive withdrawal from the Fall of Semester 2016 due to medical reasons. This is attributed to the fact that during the second week of fall, the University Health Centre diagnosed me with Mono. Despite the fact that I initially tried my best and kept up with my university courses, I later on felt too tired and therefore fell behind in almost all my class work (Cleland et al, 2016). However, my instructors quite understood and as a result, they actually permitted me to make up my exams and turn in my exam papers late. Even though I was behind the rest of the class, I had a feeling that I could easily make up for the lost work. I was later on hospitalized in a local hospital with pneumonia and realized that I could not make up for the lost work. Under the current circumstances, it is quite apparent that I will not be able for me to complete the class work through the deferred grade deadline. I would highly appreciate if the University Registrar would with its kindness allow me be able to withdraw from the last semester even though I actually missed the set withdrawal deadline (Pit et al, 2016). Please find enclosed with this letter the relevant documentation from the hospital, the health centre, and even another letter from my family and personal doctor. Your help towards my needy situation will be highly appreciated. Thank you for consideration. Yours Sincerely Students Name Works Cited Catalogs, N.C., Student Rights and Responsibilities. Herbert, C., Kent, S., Magennis, P. and Cleland, J., 2016. What causes trainees to leave oral and maxillofacial surgery? A questionnaire survey. British Journal of Oral and Maxillofacial Surgery. van de Mortel, T.F., Silberberg, P.L., Ahern, C.M. and Pit, S.W., 2016. Supporting near-peer teaching in general practice: a national survey. BMC medical education, 16(1), p.1.