Tetracolon Climax (Rhetoric and Sentence Styles)

Tetracolon climax (or simply tetracolon) is a  rhetorical term for a series of four members (words, phrases, or clauses), usually in parallel form. Adjective: Tetrcolonic. Also called a  tetracolon crescendo. Pronunciation: TET-ra-KOL-un cli-max Etymology: From the Greek, four limbs According to Ian Robinson, Numbers of rhetoricians follow Quintilian in recommending four as the norm, the tetracolon, though Cicero preferred three, and Demetrius says four is the maximum (The Establishment of Modern English Prose, 1998). See Examples and Observations below. Also see: ClimaxIsocolonParallelismParisonSeriesTricolon Examples and Observations It is rather for us to be here dedicated to the great task remaining before us—that from these honored dead we take increased devotion to that cause for which they here gave the last full measure of devotion—that we here highly resolve that these dead shall not have died in vain, that this nation, under God, shall have a new birth of freedom, and that government of the people, by the people, for the people, shall not perish from the earth. (Abraham Lincoln, The Gettysburg Address, 1863)I write humor the way a surgeon operates, because it is a livelihood, because I have a great urge to do it, because many interesting challenges are set up, and because I have the hope that it may do some good.(James Thurber, letter to E.B. White, April 24, 1951)He and we were a party of men walking together, seeing, hearing, feeling, understanding the same world; and in two minutes, with a sudden snap, one of us would be gone—one mind less, one world less.(George Orwell, A Hanging, 1931)I had seen so many begin to pack their lives in cotton wool, smother their impulses, hood their passions, and gradually retire from their manhood into a kind of spiritual and physical semi-invalidism. In this they are encouraged by wives and relatives, and its such a sweet trap.(John Steinbeck, Travels With Charley: In Search of America, 1961)Out of its wild disorder comes order; from its rank smell rises the good aroma of courage and daring; out of its preliminary shabbiness comes the final splendor. And buried in the familiar boasts of its advance agents lies the modesty of most of its people.(E.B. White, The Ring of Time)The same government that you go abroad to fight for and die for is the government that is in a conspiracy to deprive you of your voting rights, deprive you of your economic opportunities, deprive you of decent housing, deprive you of decent education.(Malcolm X, The Ballot or the Bullet, April 12, 1964)Reading is the best medicine for a sicke man, the best musicke for a sadde man, the best counsel for a desperate man, the best comfort for one afflicted.(John Florio, First Fruites, 1578)The city, for the first time in its long history, is destructible. A single flight of planes no bigger than a wedge of geese can quickly end this island fantasy, burn the towers, crumble the bridges, turn the underground passages into lethal chambers, cremate the millions.(E.B. White, Here Is New York, 1948Life is truly known only to those who suffer, lose, endure adversity and stumble from defeat to defeat.(Ryszard Kapuscinski, A Warsaw Diary. Granta, 1985)I got up promptly to tend some new chicks and was busy with them for a half hour before breakfast, thinking of palms and Christ and bombs and dry litter.(E.B. White, Songbirds) Tricolons vs Tetracolons"In the anti-math of writing, the number three [a tricolon] is greater than four [a tetracolon]. The mojo of three offers a greater sense of completeness than four or more."(Roy Peter Clark, Writing Tools. Little, Brown, 2006)

Using Command-Line Arguments in Java

Command-line arguments can be a way of specifying configuration properties for an application, and Java is no different. Instead of clicking on an application icon from the operating system, you can run the Java application  from a terminal window. Along with the application name, a number of arguments can follow which are then passed to the applications starting point (i.e., the main method, in the case of Java). For example, NetBeans has a number of startup parameters that can be passed to the application when it is run from a terminal window (e.g., specifies a version of the JDK to be used instead of the default JDK associated with the NetBeans application). The Main Method Lets examine the main method  to see where the arguments passed to an application appear: The command-line arguments can be found in the called For example, lets consider an application called whose only action is to print out the command-line arguments passed to it: public class CommandLineArgs {   Ã‚  Ã‚  public static void main(String[] args) {//check to see if the String array is emptyif (args.length 0){System.out.println(There were no commandline arguments passed!);}   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  //For each String in the String array//print out the String.for(String argument: args){System.out.println(argument);}}}   Syntax of Command Line Arguments The Java Runtime Engine (JRE) expects arguments to be passed following a particular syntax, like so: java ProgramName value1 value2 Above, java invokes the JRE, which is followed by the name of the program you are calling. These are followed by any arguments to the program. There is no limit to the number of arguments a program can take, but the order is critical. The JRE passes the arguments in the order in which they appear on the command line.  For example, consider this code snippet from above: public class CommandLineArgs2 {​   Ã‚  Ã‚  public static void main(String[] args) {if (args.length 0){System.out.println(There were no commandline arguments passed!);} When arguments are passed to a Java program, args[0] is the first element of the array (value1 above), args[1] is the second element (value2), and so on. The code args.length() defines the length of the array. Passing Command-Line Arguments In NetBeans, we can pass command-line arguments without having to build the application and run it from a terminal window. To specify the command-line arguments: Right-click on the project folder in the Projects window.Choose the Properties option to  open  Project Properties window.  In the Categories list on the right-hand side, choose RunIn the Arguments textbox that appears, specify the command-line arguments you want to pass to the application. For example, if we enter Apple Banana Carrot in the Arguments textbox and run the CommandLineArgs program listed above, we will get the output: Parsing the Command-Line Arguments Typically, a command line argument is passed with some information about what to do with the value being passed. The argument informing the application what the argument is for typically has a hyphen or two before its name. For example, the NetBeans example for the startup parameter specifying the JDK path is This means youll need to parse the command-line arguments to figure out what to do with the values. There are several Java command-line frameworks for parsing command-line arguments. Or you could write a simple command-line parser if the arguments you need to pass are not that many: The code above either prints the arguments or add them together if they are integers. For example, this command line argument would add the numbers: java CommandLineArgs -addnumbers 11 22 33 44

BSBLED401A SECTION 3 Answer - 867 Words

SECTION 3: MONITOR AND EVALUATE WORKPLACE LEARNING Top of Form Activity 10 1. The operations manager for Weiss Enterprises is planning to send all employees across the nine different stores to a two day course on customer service. The aim is to develop a customer centric culture across the organisation as well as provide instruction on exactly how to interact successfully with customers. How can the operations manager ensure that they gather feedback to measure the effectiveness of the training at all four of Kirkpatrick’s levels to improve future learning programs? Propose some tools and techniques that could be used. Upload your answer for assessment. Optimum file size should be less than 7MB 2. Comment on the retrospect methodology of†¦show more content†¦You would need to discuss with the staff member their own goals and how they relate to the organizational goals. You would need to address this course and how they believe it can directly contribute to their personal goals and the organizational goals. Possibly a compromise could be reached where if the course is irrelevant then the time allocated for the course could be

Plagiarism School College Of Health Science - 840 Words

Running head: PLAGIARISM 1 PLAGIARISM 2 Plagiarism Robert Blakley Baptist College of Health Science Abstract The paper analyzes the existing ethical academic dilemma of applying plagiarism within diverse academic works by students in general and nursing students in particular. It presents particular examples of well-known plagiarism cases and allows properly evaluating the reasons and ways of avoiding any acts of intentional and unintentional plagiarism. It emphasizes the necessity to avoid plagiarism in order to avoid diverse legal and reputation complication as well as expulsion of students. Keywords: plagiarism, academic work, and intellectual property Plagiarism Plagiarism have become a very†¦show more content†¦It is possible to meet plagiarism in two possible variants: individuals either present somebody else?s work as their own or become victims of plagiarism themselves. Nonetheless, the most common type of plagiarism is in the first place associated with assigning someone else s ideas. Well-known plagiarism case Though the majority of plagiarism cases remain unknown, certain cases have deserved a very strong opposition from the side of the society. Likewise, many recognized scholars have declared numerous ?charges of plagiarism among? faculty colleagues? in the nursing field (Fitzpatrick, 2004, p. 57). Apparently, nursing is not the only field that has suffered the consequences of plagiarism and some cases of plagiarism have even caught the attention of the President of the United States. The latter is particularly accurate for the works presented in public similar to the situation when ?Manny V. Pangilinan was shamed by having delivered a commencement speech? (Manila Bulletin, 2010). Pangilinan?s graduating batch speech of Ateneo de Manila University which included diverse parts taken from the speeches of J. Rowling, Conan O?Brien, Oprah Winfrey and even the speech of the President of the United States, Barack Obama, forcing Pangilinan to resign from the position of the university?s

Gods or God Free Essays

1. Mary Lefkowitz responds to the charges by some secular commentators that religion â€Å"‘poisons’ human life and causes endless violence and suffering† by stating that the â€Å"poison isn’t religion; it’s monotheism. † 2. We will write a custom essay sample on Gods or God? or any similar topic only for you Order Now â€Å"Openness to discussion and inquiry† and â€Å"[r]espect for a diversity of viewpoints† are some attitudes that contributed to the Athenian idea of â€Å"the cooperative system of government †¦ called democracy. † 3. The existence of many different gods offers a more reasonable explanation than monotheism of â€Å"the presence of evil and confusion in the world. † A mortal â€Å"may have had the support of one god but incur the enmity of another, who could attack when the patron god was away†; however in the monotheistic traditions, â€Å"God is omnipresent and always good† and â€Å"mortals must take the blame for whatever goes wrong,† even though God permits evil to exist in the world he created. 4. The separation between humankind and the gods made it possible for humans â€Å"to speculate about the character and intentions of the gods. † Greek theology allowed people to ask hard questions and encouraged others to learn and to seek all the possible causes of events. Such questions brought philosophy and science to the world. 5. Lefkowitz writes, â€Å"Ancient Greek religion gives an account of the world that in many respects is more plausible than that offered by the monotheistic traditions. † In this context, â€Å"plausible† seems to mean â€Å"reasonable. † The Greek account may be more â€Å"plausible† because â€Å"Greek theology openly discourages blind confidence based on unrealistic hopes that everything will work out in the end. † 6. Lefkowitz certainly makes an excellent point and I definitely agree with her. Religion today seems to be focused too much on blind belief. Thinking seems to create a healthier environment and some â€Å"healthy skepticism† would definitely be helpful currently in such a stubborn world. How to cite Gods or God?, Papers

Big Data and Political Social Networks

Question: Discuss about the Big Data and Political Social Networks. Answer: Introduction In the present situation, a shadow has been cast on the Internet, Web and its associated entities with the explosion of data that has occurred in the last few years considering the interaction between the systems and people at multiple touch points(Anshul Sharma, 2014). This big entity which is occurring in various touch points, and as explained earlier, its general behavior is referred to as Big data. Some a while ago, Megabytes and Kilobytes used to be the utilities used in the combination of all data existing in the world. However, due to ever growing and continuous associations between systems and people, has led to rapid data growth to which new concepts such as Terabytes, Zettabytes, Gigabytes, and Petabytes have been introduced to help in computing done in the world. Researchers and theorists have propagated that Internet data would be more than the entire capacity of the living species brain(Rambola, 2016). The advancements in technology have been continuously taking place ac ross all the spheres. The main reasons that have been promoting this exponential growth are the advancements made in the storage, communications, digital sensors, and in the computation, that have established massive data collection. As explained earlier, the generation of data is through varied sources which are utilized by multiple firms to understand and run different situations of business which aid them to run and understand their operations. (Rambola, 2016) explains that when the data above is examined through different methods and sources of analyzing data, it aids the businesses in their interpretation of marketing trends, studying the behaviors of customers, and taking financial and strategic decisions. When Big Data is defined, often people forget to explain that the same comprises of Datasets that are huge and which cannot be efficiently managed by the conventional systems of data management, which is denoted often by RDBMS, which is an acronym for Relational Database Man agement Systems(Anshul Sharma, 2014). These datasets mostly extend from Exabytes to Zettabytes. Big data is not really a new term(Sabitha M.S, 2015). Companies have been having huge volume of data warehouses and databases for centuries. The only distinction is how complicated it is, its size, and its growth speed. Conventional RDBMS is not enough to process the data that is big. It needs effective and efficient technology process efficiently big volume of data(Rambola, 2016). Contemporary technologies and the cloud based utilities are applied to curb the limitations of conventional RDBMS. Twitter, LinkedIn, Google, Facebook, and Amazon needed database management tools to handle the complicated and dynamic sets of data. These organizations initiated NoSQL. NoSQL are very crucial in order for the businesses to handle big datasets generated through IoT, Huge Data, big users, and cloud computing(Rambola, 2016). SQL is not used as a querying language by the NoSQL but is a database management tool in the architecture that is distributed. However, NoSQL is not another RDBMS. The big data amount that this paper has discussed about, that is extracted from people and system interactions, which includes interactions across social networks, mobile phones, and credit cards devices, is not utilized completely and hence some resides in servers that are unknown, in a form that is unutilized and unstructured for an extended period of time. Nonetheless, in the present situation, with the Big Data evolution, the said data can be accessed and examined to generate useful information. Based on the data from Big information technology companies, quintillions od data is created in a single day. The data that is exist today in the world, 90% of it has been generated in the last two years(Rambola, 2016). The data is sourced from various sources. Some of those sources include digital videos and pictures, mobile phones and associated signals of GPS, Social media activities, transactional records of selling and purchasing, etc. In the present situation data exists anywhere an d everywhere in varied formats such as texts, numbers, videos and images(Rambola, 2016). Data in itself has an exponential growth pace; however, this enormous data collection has several critical issues related with it, and problems which can be categorized as rapid data, transfer speed, security issues, and diverse data. What the Big Data Means When Big Data is spoken about; it is identified often as a catch phrase or a jargon which refers to huge volume of structured and unstructured data that consists huge datasets which are difficult to process by using database management techniques that are old(Rambola, 2016). The big size and capacity of big data has in itself the ability that can help businesses in arriving at a data driven, intelligent, and far better decisions that can help the organizations to improve their operations. In the most scenarios of the organizations, it is identified easily as either the data volume is moves to fast or is too big, or the data surpasses the current processing and storage capacity(Hakan zkse, 2015). The insights that organizations obtain from the data is used to help the organizations achieve the revenue increase, gain competitive advantage, and establish exemplary customer retention rates. To achieve efficiently and effectively all these, the organizations should be able to capture or c ollect data, manipulate, format and store the data after analyzing it. Big data is a term and a term can be interpreted in different ways, through which the same concept can be defined many definitions.(James Manyika, 2011) Defines big data as the amount of data that surpasses the technological capacity to process, manage and store it efficiently. (Dazhi Chong, 2015)explains that it is a concept which defines high-volume, high-speed, high-tech, multivariate and complex data to capture, analyze, manage, store, and distribute the information. According to (Hakan zkse, 2015), big data is high variety information assets with high velocity, high volume that needs new processing forms to facilitate the discovery of insight, decision making and optimization of processing. Big data technologies are new generation architectures and technologies designed to obtain value from high volume multivariate sets of data effectively through discovery, high speed capturing and analyzing (Rambola, 2016). (Ibrahim Abaker Targio Hashem, 2015)defines huge data by integrating several literature definitions as: The cluster of technologies and methodologies in which new forms are combined to expose the values that are hidden in complex, high volume, and diverse sets of data. Based on the definitions, by simply looking at the data sizes, it is enough to get an understanding oversite that traditional techniques are not effective in examining big data sets. Therefore, in order to compliment these methods, new technologies and techniques are required. Real Life Applications of Big Data In the society, business community, and in science and technology, the Big Data has several advantages. Under this section, this study discusses some of the advantages of big data. In the modern world, this is one of the Big Data uses that is highly publicized. Big Data is utilized here to help in understanding of the customers, their preferences and behavior. Organizations are keen to extend their old data sets using browse log, data from social media, as well assessor data and text analytics(Hakan zkse, 2015). This is in order to help the organization get the complete image of their customers. In most instances, creating predictive models is the main objective of the organizations using big data. Big data is increasingly being used in the optimization of business processes. Based on forecasts generated from web search trends, social media and weather forecasts, retailers are able to use that information to optimize their stock. Big data analytics are also being used to improve Human Resource business processes(Anshul Sharma, 2014). This consists talent acquisition optimization and the measurement of the culture of the organization and the engagement of the staff through the application of Big data. Research and Science is being transformed currently by the new potentials that are brought by big data(Anshul Sharma, 2014). For instance, the Swiss nuclear physics lab, CERN, the worlds most powerful and largest particle accelerator, experiments to find out how the universe was initiated and how it works. This is conducted through the analyzing of huge amounts of data generated from various sources. The data center at CERN has close to 66000 processers that are used to analyze its 30 data petabytes(Anshul Sharma, 2014). Nonetheless, it applies the power of computing of many computers that are evenly distributed across more than 149 data centers globally to examine the data. Such powers of computing can be used to transform many other research and science area. The power of big data analytics computing enables people to decode all strings of DNA in a short period of time. This allows the medical practitioners to predict and understand the patterns of diseases and establish cures(Rambola, 2016). The future clinical experiments may not be restricted on small samples. But they may include every individual in the area of experiment target. Optimizing Device and Machine Performance Big data analytics help devices and machines become autonomous and smarter. For instance, big data tools are applied the operation on Googles self-car driving. GPS, sensors, powerful computers, and Cameras are fitted on vehicles such as Toyota Prius to make enable them drive without human beings safely. Big Data tools are also utilized in the energy grid optimization using smart meters data(Rambola, 2016). Big data can even be used in the optimization of data warehouses and computer performance. In the modern world, big data has found significant application in the High Frequency Trading (HFT)(Rambola, 2016). In this area, there is the use of algorithms of big data to make financial trading decisions. Currently, several trading of equity takes place through the use of data algorithms that is takes into account the social media signals and websites to sell and buy items in split seconds. Big data is heavily applied in the improvement of security and in the enforcement of law. Some of the revelation is that the National Security Agency (NSA) in the United States applies the analytics of big data to stop the attack plots by the terrorists(Rambola, 2016). Other uses of big data are in the detection and prevention of cyber-attacks. In the police force, police officers use big data techniques to arrest criminals including the detection of criminal related activities. The companies specializing in the credit card integrate the application of big data analytics to detected transactions that are fraudulent. Conclusion In the present situation, a shadow has been cast on the Internet, Web and its associated entities with the explosion of data that has occurred in the last few years considering the interaction between the systems and people at multiple touch points. This big entity which is occurring in various touch points, and as explained earlier, its general behavior is referred to as Big data. Big data technologies are new generation architectures and technologies designed to obtain value from high volume multivariate sets of data effectively through discovery, high speed capturing and analyzing. In the society, business community, and in science and technology, the Big Data has several advantages. Big Data is used in optimizing and understanding business process, improving customer relation, improving public healthcare, optimizing device and machine performance, financial trading improvement, and in the law enforcement and security improvement. References Anshul Sharma, a. P. G., 2014. Analyzing Big Data. International Journal of Computer Science and Mobile Computing, 3(9), pp. 56-68. Axel Maireder, B. E. W. H. G. d. Z. . i. a. S. S., 2017. Big Data and Political Social Networks: Introducing Audience Diversity and Communication Connector Bridging Measures in Social Network Theory. Social Science Computer Review, 35(1), pp. 126-141. Dazhi Chong, a. H. S., 2015. Big data analytics: a literature review, s.l.: s.n. Hakan zkse, a. E. S. A., 2015. Yesterday, Today and Tomorrow of Big Data. Procedia - Social and Behavioral Sciences, 195(1), pp. 1042-1050. Ibrahim Abaker Targio Hashem, I. Y. N. B. A. S. M. A. G. a. S. U. K., 2015. The rise of big data on cloud computing: Review and open research issues. Information System, p. 98115. James Manyika, M. C. B. B. J. B. R. D. C. R. A. H. B., 2011. Big data: The next frontier for innovation, competition, and productivity, s.l.: McKinsey Global Institute. Rambola, T. A. a. R. K., 2016. Literature Review On Big Data. International Journal of Advancement in Engineering Technology, Management Applied Sciences, 3(5), pp. 21-40. Sabitha M.S, S. a. R. S., 2015. International Journal for Research in Applied Science Engineering Technology (IJRASET). Big Data Literature Survey, 3(8), pp. 318-323.

Environment and Development for Economic Growth

Question: Discuss about the Environment and Development for Economic Growth. Answer: The 21st century is marked by the struggle to attain continuous economic development for the developing countries and the final phase of economic growth for the developed nations. This effort to achieve economic growth has led to high mass consumption, which has an enormous effect on the environment (Dixon, Scura, Carpenter Sherman, 2013). This quest for economic growth has thus become a concern to the environmentalists and has led to a critical question, "Is there a possibility of economic development without environmental harm?" The research, therefore, will seek to investigate this issue and establish a position. To achieve this objective, research will use factual evidence and statistics. Besides, the study will give a conclusion and postulate recommendations. Economic development is the sustainable increase of a country's productive prospective. Fundamentally a country's economic growth is measured in terms growth in per capita income and its productive ability. As a consequence, global economic ranking is based on GDP (Gross Domestic Product) and the economic development pointers like industrial growth rate (Pearce, Barbier Markandya, 2013). Economic growth is dependent on the growth of the industries which are supplied with raw material from the environment. The main aim of such industries is the economic growth and improvement of living standard of people. In fact, such industries are not concerned with improvement of the environment. It is explicit that the rapid expansion of industries globally has led to massive damage to the environment because these industries rely on the natural resources found in the environment to operate (Tietenberg Lewis, 2016). The world economy is, therefore, facing critical challenges related to environm ental depletion. Economic development and environment preservation are two interconnected realities which are not contradictory. However, economic development has severe effects on the environment (Baek Kim, 2013). Significance of the Research The relationship between environment and the economic development is a relevant topic because governments and entrepreneurs globally are seeking on how to strike a balance between the two to ensure sustainable development. Besides, the research will create a deeper understanding on contentious issues like recycling policy, climate change policy, and nuclear power policy. The research will also inform the public on how some economic activities and policies affect environment. Economic analysis of the developing countries will help in understanding whether environment hinder economic prosperity (Miller, Kim Holmes, 2015). This analysis will further understanding on themes such as inequality and poverty in the developing countries. Similarly, the research will establish a link between renewable and exhaustible resources and production and how they contribute to either environmental degradation or economic development. Investigation to this critical question is thus fundamental for form ulation of developmental strategies and for developing countries. Background of the Problem The link between economic development and the environment has been, is, and will continue as a contentious issue. The issue has remained controversial because of the divergent schools of thought. One school of thought holds that failing to deal with global warming, emerging pollution challenges, and the surging population in developing countries are grave environmental challenges. On the other hand, another school of thought believes that improvement of living standards through technological advancement and industrial expansions are essential marks of economic growth which has no impact on the environment. These opinions though not inconsistent, call for a deeper exploration of the link between economic development and the environment (Pettinger, 2014). Furthermore sustainable economic development has been adopted as a political agenda globally since the link between economic growth and environment was recognized. Evolution of this idea can thus be attributed to three specific international conferences. Which include; The World Summit on Sustainable Development in Johannesburg in 2002, The United Nations Conference on Environment and Development in Rio de Janeiro in 1992, and The United Nations Conference on the Human Environment in Stockholm in 1972 (Baek Kim, 2013). The recommendations of these conferences form the core of this idea. Varied schools of thought have thus given different definitions of sustainable economic development. The most agreed definition is sustainable economic development as progress that caters for the needs of the people without interfering with the environment. However, this understanding of sustainable economic development has metamorphosed as result of diverse opinions on this topic. Importantly, all t hese school of thought agree that sustainable economic development should happen in a friendly environment. Bibliography Atkinson, G., Dietz, S., Neumayer, E., Agarwala, M. (Eds.). (2014). Handbook of sustainable development. Edward Elgar Publishing. Baek, J., Kim, H. S. (2013). Is economic growth good or bad for the environment? Empirical evidence from Korea. Energy Economics, 36, 744-749. Boj, J., Mler, K. G., Unemo, L. (2013). Environment and development: an economic approach (Vol. 6). Springer Science Business Media. Castiglione, C., Infante, D., Smirnova, J. (2015). Environment and economic growth: is the rule of law the go-between? The case of high-income countries. Energy, Sustainability and Society, 5(1), 26. Eriksson, C. (2013). Economic Growth and the Environment: An Introduction to the Theory. Oxford University Press. Lewis, W. A. (2013). Theory of economic growth (Vol. 7). Routledge. Motel, P. C., Choumert, J., Minea, A., Sterner, T. (2014). Explorations in the Environment- Development dilemma. Environmental and Resource Economics, 57(4), 479. Rodrik, D. (2014). The past, present, and future of economic growth. Challenge, 57(3), 5-39. Schurr, S. H. (2013). Energy, economic growth, and the environment (Vol. 7). Routledge. Uddin, G. A. (2016). Population changes and implications for economic growth and the environment in Australia (Doctoral dissertation, University of Southern Queensland). Yang, J., Zhang, Y., Meng, Y. (2015). Study on the impact of economic growth and financial development on the environment in China. J Syst Sci Inf, 3(4), 334-347. Baek, J., Kim, H. S. (2013). Is economic growth good or bad for the environment? Empirical evidence from Korea. Energy Economics, 36, 744-749. Dixon, J., Scura, L., Carpenter, R., Sherman, P. (2013). Economic analysis of environmental impacts. Routledge. Miller, T., Kim, A. B., Holmes, K. (2015). 2015 Index of economic Freedom. Washington DC: The Heritage Foundation. Pearce, D., Barbier, E., Markandya, A. (2013). Sustainable development: economics and environment in the Third World. Routledge. Pettinger, T. (2014). ECONOMIC: Helping To Simplify Economics. Retrieved 4 April 2017, from https://www.economicshelp.org/blog/11516/environment/economic-system-environment/. Tietenberg, T. H., Lewis, L. (2016). Environmental and natural resource economics.