Good Topics for a Argumentative Research Essay Ideas

Good Topics for a Argumentative Research Essay Ideas Choosing our service, you will understand that studying can be simple if you gain from the aid of competent experts. Preferably, it ought to be something which you're an expert in. The procedure for cloning people has a lot of advantages. Finding the Best Good Topics for a Argumentative Research Essay There are lots of aspects about a sport which can be argued in an essay. A seasoned professional will make an error-free assignment right away and can help you boost your grades. Describe the college you would like to visit. College is for a high amount of study. The Little-Known Secrets to Good Topics for a Argumentative Research Essay Hope you get a wonderful time delivering the speech. How global warming is truly caused. If you keep on communicating with an individual with AIDS, you'll be sick too. Politics and church ought to be separate. You will be assigned a topic, or your professor will permit you to select your own. Second, talk what you shouldn't do instead of what should be carried out. In some instances, it may include things like studying your teacher in order to know your teacher's sense of humor. Good Topics for a Argumentative Research Essay - Dead or Alive? If you like you may look online and find one that you like. Now that you're aware that we are the very best online essay writing service to work with, don't hesitate to go to our site and order an essay. There are lots of on-line essay writing services to aid you with your writing tasks. When you are finished with your essay, you must not just check it for spelling and grammatical errors, but nevertheless, it also has to be checked for logical fallacies. Figure out how funny argumentative essay topics can receive the interest of your tutor. There are a lot of fun essay topics which you can write on. There are a few great topics to take into account when picking a topic for your argumentative essay. Instead of just immediately writing about your argumentative essay topic, you first have to think about what it is that you are likely to put back on your paper through a procedure of brainstorming and pre-writing. You don't need to acquire super technical with legal argumentative essays, but be certain to do your homework on what the recent laws about your favorite topic actually say. There are some easy guidelines to follow to be able to be in a position to compose a great persuasive essay. The very first thing you ought to do is choose a subject for your essay. After you have the topic, answer the question and after that support your answer with three or more explanations for why you believe it. If you get to select your own topic, that's wonderful. Therefore, the topic ought to be debatable! You will probably locate a different and amazing topic you will love to write about. There are many things you'd better bear in mind. There's something for everybody in here. When you're picking your topic, remember that it's much simpler to write about something which you currently have interest ineven in case you don't know a great deal about it. The help here comes in various categories. Good Topics for a Argumentative Research Essay: No Longer a Mystery It is possible to restate your argument, which is quite a common practice amongst essayists. Look around you and you'll note a kind of persuasion or the other. You have to give three or more reasons to create your side of the argument well-grounded and weighty. The last write-up ought to be concise with firm language. The Ultimate Strategy for Good Topics for a Argumentative Research Essay There are many steps that you should take so as to compose a superb essay. If you get a tough assignment to work on, find expert help at our on-line paper writing service. Also, a whole revision is essential at the close of the undertaking. Therefore, should you need assistance with assignment writing, look no m ore.

Essay Topics to Choose From

Essay Topics to Choose FromFor many, writing an essay on personal essay topics is a difficult task. Not only do they need to write with discipline and originality, but they need to write from their heart. There are different essay topics for different people, so there should be some type of topic that would relate to the person's personality. There are lots of essay topics to choose from that can even apply to adults or teens.Finding topics to choose from can be done when starting a theme. For example, if you want to have a theme for the essay, your first step is to determine the topic. Next, you can start writing your essay about it. You can find a theme that fits the subject matter of your essay.However, it is best to start with a topic that is easily adapted to any kind of writing. In fact, most adults will not even be familiar with the topics for writing, especially about children or teenagers. So, the next best thing would be to choose a topic that can still be related to the pe rson's personality.Now that you have a theme in mind, you can start writing the essay by having a look at the topic that you have chosen. If you already know how to write, you might just jump to the writing part. If you need help, you can ask for help from someone else. Most people have experience writing essays, so they can give you advice on how to go about it.The next thing to do is to practice. This is the easiest and the most easy way to learn to write an essay. By doing this, you will quickly learn to write about your topic. It will also help you get used to the exercises that will help you put the theme into words.As you are practicing, be sure to take notes as you go because your whole idea will be based on the notes that you made. As a matter of fact, when you finally get a feel of how to write about a topic, it is best to write the essay down so that you can refer to it and be able to use it later. This is very important when it comes to writing essays.Having essay topics to choose from can be a little bit time consuming, but if you have all the time in the world, it is best to make the effort. The choice of essay topics can change with every semester, so you have to be prepared to adapt. Keep in mind that not everyone has the same views or experiences. Because of this, you need to write with different perspectives and ideas. The essays you write are an expression of who you are as a person.Writing personal essay topics can be hard. However, when you begin to learn more about what the topics are, you will start to see that it is not as hard as you thought. Take your time to research and choose what you like best.

Herbal Medicine Research Paper Topics - Discovers the Components That Change With Every New Herbal Product

Herbal Medicine Research Paper Topics - Discovers the Components That Change With Every New Herbal ProductHerbal medicine research papers can be extremely useful if you're looking to understand the processes of an herbal product. It's important to look into these processes because they can show you how you can improve upon a process that you use or you could find yourself using a product that you've never heard of before. Either way, it's good to have an idea of the process so that you can have a better idea of how you can improve upon it.One of the most common forms of herbal medicine research paper topics is medicinal plants and extracts. These research papers will give you a good idea of what you need to know when it comes to herb-based products. The important thing to remember is that these research papers will only focus on the medicinal ingredients of a plant. They won't cover the pharmacological properties of a plant nor any other aspects of the process that the plant is used for.Herbal remedies and extractions are considered as natural treatments but there are others that consider them as drugs. So, it's important to understand how they work before determining whether or not they are legal to use. Some of the natural ingredients that we often associate with herbs and supplements will be listed in the medicinal research papers. But there are some herbs that are considered dangerous. If you are considering using a herb that you need to consult with a doctor.As you can see, herbal medicine research paper topics are very important. They will help you learn more about the properties of the different herbs. It's always recommended that you take the time to study up on these topics. Otherwise, you'll be wasting your time trying to figure out how to improve upon a process that has already been perfected.Herbal medicine research paper topics will also help you decide whether or not it's ethical to use a product that you believe has the properties that you have l earned about. You need to make sure that you are using the right products to ensure that your health is improved. The right herb or supplement is only one factor when it comes to determining if you're using the right product. There are many factors that come into play when it comes to safety, health, and ethical issues.There are many different ingredients that you need to be aware of. First, it's important to note that the elements of a herbal remedy may vary from one ingredient to another. With every ingredient, the herbal medicine research paper will show you why it's important to determine whether or not it's safe to use. In some cases, the product may only be okay when it comes to the effects of the ingredient. In other cases, you will need to study up on the substance itself to ensure that it can be used safely.It's important to know that when you're studying up on herbal medicine research paper topics, you will have to look at both sides of the issue. You have to understand bo th the benefits and the possible risks when it comes to the ingredients of a particular product. In order to ensure that you're using the safest and most effective products, you need to understand the potential effects that can occur.

How Do I Motivate Yourself to Attend Nursing School Now?

How Do I Motivate Yourself to Attend Nursing School Now?In this article, you will find the answers to the following questions: how do I motivate myself to attend nursing school now? And what is a sample essay?So what is motivating yourself to write an essay? To be honest, it doesn't matter what motivates you to write an essay. I think writing an essay in class or attending a seminar or even just working on a problem and feeling motivated by solving the problem is motivating. Whether you are writing for your college class or for an essay for a job interview or for an essay for a job application, you should always have some sort of motivation.Now, what is a sample essay? A sample essay is simply a single essay with the ability to do a number of things. It should be written using all of the grammar and spelling rules that are found in most grammar books. The essay should be clear and concise. This single essay can go on any internet site and go viral or turn into several essays.However, I have found that a sample essay does more than that. It also works as a catalyst to writing more articles or for other types of writing projects. The easiest way to motivate yourself to write more is to put yourself in the shoes of someone who is a writer and ask yourself, 'what would make me write?' It may not be the same thing as writing a sample essay, but in many cases it's just as important.Writing a sample essay will get you off on the right foot in your writing career. You will already have a good handle on style and syntax. For those reasons, you can always go back to it if you feel it is too 'wordy' for your taste.Also, the essay format will give you structure can often motivate people who are struggling with writing. Structure is very important when you're trying to learn to write because you need to know how to structure the words in the correct order and structure of paragraphs and then sentences, and then sentences again, and then more paragraphs, and so on and so for th.Finally, the best part about writing a sample essay is that you can then go on to write more essays, which will make you feel like you accomplished something even if you didn't get into nursing school. As an example, I'm a personal trainer, so I can teach and train personal trainers and massage therapists.Using the example above, you can see that the motivation behind writing a sample essay is very important to you. There are several places on the internet where you can get samples or to find more samples, so check them out.

Woodstock Essays - Counterculture Of The 1960s, Music, Entertainment

Woodstock In 1969, the Woodstock Music and Art Fair drew more than 450,000 people to a pasture in Sullivan county. For four days, this site became a "countercultural mini-nation" in which drugs were all but legal, music was plenty, and love was free. The music began Friday afternoon at 5:07 p.m. August 15, and continued until mid- morning Monday August 18. The festival closed the New York State Thruway and created one of the nation's worst traffic jams. It also inspired a bunch of local and state laws to ensure that nothing like it would ever happen again. Woodstock was the idea of four young men: John Roberts, Joel Rosenman, Artie Kornfeld and Michael Lang. The oldest of the four was 26. Their original odea was to have it in Wallkill, New York, but the residents objected so greatly, that the site was then taken to a farm about eight miles outside of Bethel, N.Y. , population 3,900. There was objections from this city as well, but a permit had already been purchased to have a concert, so not much could be done about it. Although the conditions were terrible, (Lack of food, sparse sanitation facilities, drugs and alcohol, mud, to name a few) there were no violent acts at the festival. DRUGS Drugs were a problem at the festival, nearly ninety percent of the people there were smoking marijuana. There were no violence problems though. Approximately one hundred percent of the 33 people arrested were charged with drug-related charges. FOOD Food shortage was a problem since so many people showed up who the festival organizers wree not prepared for. Only 60,000 people were expected to attend, yet on the first day alone, 500,000 frankfurters and hamburgers were consumed. Constant airlifts were being operated from the site and outlying areas, bringing in a total of 1,300 pounds of canned food, sandwiches, and fruit. In fact, the food problems were so great that the Women's Group of the Jewish Community Center of Monticello and the Sisters of the Convent of St. Thomas prepared and distributed 30,000 sandwiches for the festival go-ers.

Execution of Project Through Generalization and Interpretation Essay Example

Execution of Project Through Generalization and Interpretation Essay Example Execution of Project Through Generalization and Interpretation Essay Execution of Project Through Generalization and Interpretation Essay Execution of the project (implementation phase of the project) proceeds on correct lines, the data to be collected would be adequate and dependable. The researcher should see that the project is executed in a systematic manner and in time. If the survey is to be conducted by structured questionnaires, data can be readily machine-processed. In such situation, questions as well as the possible answers may be coded. If the data are to be collected through interviewers, arrangements should be made for proper selection and training of the interviewers. Steps should be taken to ensure that the survey is under statistical control, so that the collected information is in accordance with the pre-defined standard of accuracy. Generalizability: It is the responsibility of the researcher to provide evidence regarding the reliability, validity and generalizability of the findings. The report should clearly identify the target population to which the findings apply. Factors that limit the generalizability of the findings, such as the nature and representativeness of the sample, mode and time of data collection, and various sources of error should be clearly identified. The reader should not attempt to generalize the findings of the report without explicit consideration of these factors. Interpretation and Conclusions: The findings should be reported in an objective and candid way. The interpretation of the basic results should be differentiated from the results parse. Any assumptions made in interpreting the results should be clearly identified. The limitations of the research should be discussed. Any conclusions or recommendations made without a specification of the underlying assumptions or limitations should be treated cautiously by the reader. WHAT IS GENERALIZATION? Generalization is to which extent the research and the conclusions of the research apply to the real world. It is not always so that good research will reflect the real world, since we can only measure a small portion of the population at a time. In fact every research study, somehow tries to relate observations to theory. If a hypothesis is tested repeatedly then researcher can move to generalization and construct a theory out of it. This is the real objective of the research. [pic] Generalization identifies commonalities among a set of entities. The commonality may be of attributes, behavior, or both. For example, a statement such as All windows have a title expresses a common attribute among all entities that are considered windows. Similarly, the statement, All windows can be resized. expresses a common behavior that all windows provide. Generalizations are usually easy to recognize as they contain words like all and every. Generalization is an essential component of the wider scientific process. In an ideal world, to test a hypothesis, you would sample an entire population. By Martyn Shuttleworth (2008) You would use every possible variation of an independent variable. In the vast majority of cases, this is not feasible, so a representative group is chosen to reflect the whole population. For any experiment, you may be criticized for your generalizations about sample, time and size. You must ensure that the sample group is as truly representative of the whole population as possible. For many experiments, time is critical as the behaviors can change yearly, monthly or even by the hour. The size of the group must allow the statistics to be safely extrapolated to an entire population. In reality, it is not possible to sample the whole population, due to budget, time and feasibility. For example, you may want to test a hypothesis about the effect of an educational program on schoolchildren in the US. For the perfect experiment, you would test every single child using the program, against a control group. If this number runs into the millions, this may not be possible without a huge number of researchers and a bottomless pit of money. Thus, you need to generalize and try to select a sample group that is representative of the whole population. A high budget research project might take a smaller sample from every school in the country; a lower budget operation may have to concentrate upon one city or even a single school. The key to generalization is to understand how much your results can be applied backwards to represent the group of children, as a whole. The first example, using every school, would be a strong representation, because the range and number of samples is high. Testing one school makes generalization difficult and affects the external validity. You might find that the individual school tested generates better results for children using that particular educational program. However, a school in the next town might contain children who do not like the system. The students may be from a completely different socioeconomic background or culture. Critics of your results will pounce upon such discrepancies and question your entire experimental design. Most statistical tests contain an inbuilt mechanism to take into account sample sizes with larger groups and numbers, leading to results that are more significant. The problem is that they cannot distinguish the validity of the results, and determine whether your generalization systems are correct. This is something that must be taken into account when generating a hypothesis and designing the experiment. The other option, if the sample groups are small, is to use proximal similarity and restrict your generalization. This is where you accept that a limited sample group cannot represent all of the population. If you sampled children from one town, it is dangerous to assume that it represents all children. It is, however, reasonable to assume that the results should apply to a similar sized town with a similar socioeconomic class. This is not perfect, but certainly contains more external validity and would be an acceptable generalization. Forms of Generalization: One of the four forms of generalization is hierarchy. In the case of hierarchy, the commonalities are organized into a tree structured form. At the root of any sub tree are found all the attributes and behavior common to all of the descendents of that root. This particular kind of tree structure is referred to as a generalization/specialization hierarchy because the root provides more general properties shared by all its descendents while the descendents typically add specializing properties which make them distinct among their siblings and their siblings descendents. The second form of generalization is genericity. In the case of genericity, the commonality is expressed with the aid of a parameter. Various specializations are distinguished by what they provide for the parameter. For example, using genericity it is possible to represent the common properties of a stack through the generalization of a stack of anything, where anything represents the parameter. Specialized forms of this generalization are stack of integers and stack of characters. The third form of generalization is polymorphism. Polymorphism captures commonality in algorithms. An algorithm may have a nested if-then-else (or case statement) logic which tests for the exact type of an object which it is manipulating. The algorithm performs some operations on the object based on the exact type of the object. However, in many algorithms the operations to be performed are the same, only the type of the object on which they are performed varies. Thus, the algorithm need not know the exact type of the object. The algorithm only needs to know that the object can respond to the invocation in some manner. The fourth form of generalization is patterns. A pattern expresses a general solution (the key components and relationships) to a commonly occurring design problem. The attributes and behavior of the individual components are only partially defined to allow the pattern to be interpreted and applied to a wide range of situations. For example, a wheeled vehicle pattern might be defined in terms of the components wheel, axle, frame, body and power source. The pattern would also show how these components would be arranged in relation to each other (e. g. , the axle must connect two wheels). Example of the wheeled vehicle pattern are automobile, horses of Generalization: |All apples are red. | |All buildings are square. | |Anyone could tell you the laws of physics. | |Everyone is literate these days. | Image Example of Generalization: | | [pic] An n-cube can be projected inside a regular 2n-gonal polygon by a skew orthogonal projection, shown here from the 2-cube to the 10-cube. Generalization Assess Knowledge Assess knowledge is used to not only judge the generalization rules, but also assess the generalization quality, such as square root law. For example, when we use deduced knowledge to reason in map generalization, it will trigger process knowledge. Also the application of process knowledge needs the parameters about descriptive knowledge. Knowledge representation is an important section of information system design and operation. It symbolizes and formalizes the knowledge of experts field and translates them into the form which computer can recognize and process. But with the limitation of computer language, we often use the formal knowledge representation to realize the automatic process. Most knowledge representations are based on logic, relationship, object, regulation, semantic network, model and ontology (Kong, 2001). For cartographic generalization system, the difficulty in knowledge representation is how to express the knowledge of cartographic experts with systematic and integrated method, and eventually to solve real problems. Interpretation: Interpretation is the process by which meaning is attached to data. Interpretation is a creative enterprise that depends on the insight and imagination of the researcher, regardless of whether he/she is a qualitative analyst working closely with rich in-depth interview transcripts or ‘thick description’ based upon intense observation or, at the other extreme, a quantitative researcher carrying out a complex multivariate statistical analysis of a massive dataset. In both instances, interpretation, the way in which the researcher attaches meaning to the data, is not mechanical but requires skill, imagination and creativity. Purpose: Interpretation is used for drawing inferences from data, expounding/exposing relationships and process underlying the findings, searching for broader meaning of research findings, understanding and explaining what has been observed in the study. It is also used for providing theoretical conceptions to serve as a guide for further research. Interpretation opens avenues of intellectual adventure and simulates the quest for knowledge. ’Post-factum’ interpretation translates findings of exploratory research into experimental research. Data Interpretation: Data interpretation is an essential element of mature software project management and empirical software engineering. As far as project management is concerned, data interpretation can support the assessment of the current project status and the achievement of project goals and requirements. As far as empirical studies are concerned, data interpretation can help to draw conclusions from collected data, support decision making, and contribute to better process, product, and quality models. With the increasing availability and usage of data from projects and empirical studies, effective data interpretation is gaining more importance. Interpretation of data for project control, here, the focus is on project execution. Factors such as the increasing distribution of development activities, the need for monitoring risks, or regulatory constraints have accelerated the introduction of data-based project management techniques into practice. However making valuable use of collected data is challenging and requires effective mechanisms for data interpretation Need For Interpretation: For better appreciation of findings and make others to understand the real significance of findings. To understand the abstract principles that work beneath findings, to link findings and results with that of others, arriving at generalization after repeated testing of hypothesis, to take decisions based on implications of results and to maintain continuity in research i. e. is to help further studies. Precautionary Tips for Interpretation: Interpretation is an art and requires great skill. Optimum use of data and techniques. No over or under or misinterpretation. No out of context interpretation. Look for generalization but no false or even broad generalization. No hurry, have patience. Be impartial, have correct perspective. Wrong interpretation would lead to inaccurate conclusions. Make correct use of statistical measures. Interpretation and analysis are highly interdependent. Evaluating Interpretation: Why evaluate? Evaluating your interpretation will tell you whether it’s working or not. To evaluate you must have clear objectives for your interpretation. There a re four kinds of interpretive objective: Learning objectives – what do you want visitors to know about the site? Emotional objectives – what do you want visitors to feel about the site? Behavioral objectives – what do you want visitors to do as a result of the interpretation? Promotional objectives – how do you want to present your organization? When do I evaluate? Evaluation is classified according to when it’s done in the interpretive process. Front-end evaluation is done while you’re developing your interpretive objectives. It answers questions such as ‘what do the audience already know about this topic? ’ and ‘what are they most interested in? ’ This way you can tailor your interpretation to your visitors’ knowledge and interests. Formative evaluation tests visitors’ reactions to trial versions of your interpretation. For example, proofs of leaflets and panels can be tested to see if they attract attention and communicate the right messages. This allows you to change the design or content to make sure it works. Remedial evaluation checks that once all the elements in a display are brought together they work – for instance, the lighting is appropriate, visitor flow patterns are optimized, and distraction/competition between elements is minimized. Summative evaluation answers the question ‘is our nterpretation meeting its objectives? ’ Summative evaluation is carried out once a project is implemented. How do I evaluate? A range of evaluation methodologies are available. They can be subdivided into: Quantitative methods which count and measure things. Here your data is already in the form of numbers or can be converted into numbers that can be analyzed statistically. Qualitative metho ds which attempt to describe your visitor’s opinions, attitudes, perceptions and feelings. This information will require further interpretation and organization. Phase |Method | |Front end |Focus groups | | |Questionnaire interview | |Formative |Observation | | |Simple interviewer administered | | |questionnaire | |Remedial |Observation | | |Simple interviewer administered | | |questionnaire | |Summative |All methods but primarily observation| | |and questionnaire | | |Critical appraisal | Examples for Interpretation: 1. Representativeness of the data – Comparison of distribution of characteristics among population, sample and response population 2. Take note of nature of questions and types of responses – Dichotomous question with either or type answer. – Multiple-choice questions which require only one answer. – Multiple responses to multiple choice questions. – Open-end questions. Frequency Distribution Of Age (Comparison of characteristi cs distribution among population, sample and response sample) Population Response Population Age in Years No. % No. % Up to 24 95 11. 6 69 13. 2 25-29 268 32. 6 173 33. 0 30-34 255 31. 0 165 31. 5 35-39 151 18. 4 85 16. 2 40-44 39 4. 7 27 5. 1 45-49 6 0. 7 1 0. 50-above 8 1. 0 4 0. 8 Total 822 100. 0 524 100. 0 3. Handling and interpreting unanswered – Not answered. – Can’t answer. – Don’t know. – Don’t want to answer. – Distributing proportionately among other categories. – Keeping as a separate category. – Estimating answer from other data contained in questionnaire. 4. Representing the data – Percentages (ratios proportions) should be computed in the direction of causal factor, if any. – Percentages should run only in the direction in which a sample is representative. Do not average percentages(without weighing by the size of samples) – Do not use very large percentage(e. g. 1200% increase) – Do not use too small a base(e. g. 33 1/3% for 1 in 3 ) Interpretation of correlation coefficients(r,rs) 0. 9 Very highdependable Chi-square test No (expected) frequency cell should have value less than 5(use Yates correction formula) Hypothesis testing Accepting null hypothesis on the basis of sample information does not mean or constitute the proof that hypothesis is true. It only that there is no statistical evidence to reject it Logically ordering the data so that questions can be raised and answered Cross tabulation of 2 or more attributes or variables is merely a formal and economical method of arranging the data so that the logical method of proof may be applied . Cross tabulation is an approximation of the controlled experiment, i. e; just thinking in terms of cause and effect. Cross tabulation may lead to spurious explanation. Examples: Family size v/s income (valid) No. of automobiles owned v/s brand of toothpaste preferred (spurious) Elaboration Is a process which is limited only by the analysis (his/her ability, patience and purposes) and by the nature of data? Check need for elaboration and what test variable to apply. Range of cross tabulations suggests test variables.

The Emergence and the Implications of China as the World's Factory Essay

The Emergence and the Implications of China as the World's Factory - Essay Example Over the last two decades, China has become the biggest producer of manufacturing goods in the world with a global manufacturing share of 19.8% (MercoPress 2011). Meaning that 1 in 5 manufactured products today are made in China - clearly, China has emerged as the world’s factory. The early years of China’s emergence as a manufacturing hub According to some reports, around 1850, China had a 30% share of global manufacturing but lost its edge by the end of the 19th century and its share of global manufacturing stood at 6%. By 1930, it was as low as 3%. Then, in the 1980s, China opened its economy and began welcoming foreign investments. The world’s factory saw its first emergence as a potential export hub when manufacturers from Hong Kong began to move their apparel and toy manufacturing units to South China in order to take advantage of the low wages there. In the 1990s, the scope expanded to several other merchandise categories as China improved its infrastructu re and quality of labor while keeping the wages low. Due to lower assembly costs of manufactured goods, electronics companies from Korea, apparel manufacturers from Hong Kong, and computer manufacturers from Taiwan shifted most of their manufacturing operations to China. The key manufacturing activity was to import the manufacturing components, process them, and export back. In 2000, these processed components formed 55% of the Chinese exports and 41% of the total imports of China were actually for reprocessing them for exports. From 1993 to 2002, China’s manufacturing exports jumped from $60 billion to $320 billion with office and telecom equipment accounted for $52 billion. In terms of Foreign Direct Investment (FDI), in 1990 China received 18% of all Asian FDI, and by 1999, China had a lion share of 61% of all Asian FDI. By the 2001-2002, most of the biggest brands in the goods industries invested heavily in China to secure their manufacturing. For example, by 2001, the in vestment of Japanese electronics major Toshiba in China totaled more than $1 billion – in 37 factories in China.