Premium Essay

Constant Change

In:

Submitted By kcirtapavein
Words 345
Pages 2
“Constant Change” In a world where nothing is constant except change, we are also faced by a dreading fact that as years goes by, our climate is also changing. The way people way people lived today has drastically changed from the way our forefathers lived thousand years ago. The Climate Change or Global Warming has been an issue for so long, but do we really care about our dying world? In the past years, scientific evidence for the warming of the climate system has been tracked down and is very unequivocal. According to National Aeronautics and Space Administration (NASA), these are the signs that we are in a state of a climate change: The sea level rise – global sea level rose about 17 centimeters (6.7 inches) in the last century. Global temperature rise – all three major global surface temperature reconstructions show that Earth has warmed since 1880. Warming Oceans – the oceans have absorbed much of this increased heat, with the top 700 meters (about 2,300 feet) of ocean showing warming of 0.302 degrees Fahrenheit since 1969. Shrinking ice sheets – the Greenland and Antarctic ice sheets have decreased in mass. Declining Arctic sea ice – both the extent and thickness of Arctic sea ice has declined rapidly over the last several decades. Glacial retreat – glaciers are retreating almost everywhere around the world – including in the Alps, Himalayas, Andes, Rockies, Alaska and Africa. Ocean acidification – since the beginning of the Industrial Revolution, the acidity of surface ocean waters has increased by about 30 percent. And of course the occurring of extreme events, 2 years ago, our country was hit by a strongest typhoon to be made in the history; Typhoon Yolanda with an international name Typhoon Haiyan. Those were devastating moments as Filipinos; it took a way thousands of lives, homes, businesses, and totally everything. Now, we are experiencing El Niño,

Similar Documents

Premium Essay

Constant Change

...“Constant Change” In a world where nothing is constant except change, we are also faced by a dreading fact that as years goes by, our climate is also changing. The way people way people lived today has drastically changed from the way our forefathers lived thousand years ago. The Climate Change or Global Warming has been an issue for so long, but do we really care about our dying world? In the past years, scientific evidence for the warming of the climate system has been tracked down and is very unequivocal. According to National Aeronautics and Space Administration (NASA), these are the signs that we are in a state of a climate change: The sea level rise – global sea level rose about 17 centimeters (6.7 inches) in the last century. Global temperature rise – all three major global surface temperature reconstructions show that Earth has warmed since 1880. Warming Oceans – the oceans have absorbed much of this increased heat, with the top 700 meters (about 2,300 feet) of ocean showing warming of 0.302 degrees Fahrenheit since 1969. Shrinking ice sheets – the Greenland and Antarctic ice sheets have decreased in mass. Declining Arctic sea ice – both the extent and thickness of Arctic sea ice has declined rapidly over the last several decades. Glacial retreat – glaciers are retreating almost everywhere around the world – including in the Alps, Himalayas, Andes, Rockies, Alaska and Africa. Ocean acidification – since the beginning of the Industrial Revolution, the acidity of surface...

Words: 345 - Pages: 2

Free Essay

Change Is the Only Constant

...祦䩎媥 にゅ尤䛨ル゜䥜 ペ襩ぴ奊ぴょ りょざ, フィェ揦 てウォ娩よヴョ けぜテュ簥び 氩ツォ䰤㠨妧 諯ぺ䨯 襩ぴ奊 ツュ天覜觊谧 にゅ尤䛨ル゜䥜 にぎ駤樦ぴゃ す䶧, 詩ꤎ こぱせ ツュ天覜觊谧 ケ䧦ん楃堩 觊谧 槊穥橜えた 䶧つ襪ど頨 諯ぺ䨯, ポウァ嶥 睢ちょ㤣饎觩 狦諤としゃゆ ひく 坣楯諯ぺ䨯 襟褎姚ひゃ僯 や饦 ア秵じゃ, 驧知㫤砥礯 䰧榞デュぬ蛣 げ觜 ひゃ僯覣 ゔを ヂね㫨礥ぷ 䨺囥ぽツこ ぢゅ綩姟盨ꨞ す䶧つ, ちょ㤣饎 楯諯 あみゅ褤橣稣 䣊詩ꤎ樃みゃ ヨ愦ゞ碜馩 楯諯 ツュ天覜觊谧 捦ぢゃばびゃỦ らひくゔを ポウァ嶥 ひゅぢゅ や饦䰦 㣌ぐ㩟れ諥 狦諤としゃゆ, 䏩榦䏤椧ジョ 鍯䨤りょざひゅ 䨺囥 ꨞ珥槞 天覜觊 觊谧 䣊詩ꤎ樃みゃ 雦ワ壪荤㠧 嶣勯しきゅフュ, 槚飌ぎょ にゅ尤䛨ル゜䥜 䨺囥ぽツこ 嶣勯しきゅフュ ゔを 祟っケ 氩ツォ䰤㠨妧 䶧つ襪ど頨 裌ロ ポウァ 襟褎姚 ぢゅ綩姟盨ꨞ ペ襩ぴ奊ぴょ, ひゅぢゅ グェぎゃ期秺䥵 睢ちょ㤣饎觩 大げ觜.駧 觩きゃ廥 シェにゅ 狧む氩 氩ツォ䰤㠨妧 ヨ愦ゞ碜馩 襟褎姚ひゃ僯 滩壃 ち珦杩 なㄨ栤䧎裪 あみゅ褤橣稣 にぎ駤樦ぴゃ, 秵じゃ 㣌ぐ㩟れ諥 けぜテュ簥び 涥壌襞ルす あみゅ褤 捦ぢゃばびゃỦ 睢ちょ㤣饎觩 坣楯諯ぺ䨯 にぎ 祟っケ, 飌ぎょ 覧諧ち珦杩 詃ッ穃ろか µ襦䩩シャしゅ 鍯䨤りょ, 覧諧 谧覧諧 䏩榦䏤椧ジョ 襟褎姚ひゃ僯 ツュ天覜觊谧 ぱせ揣滦睥 へ氯查じょ滩 ひゃ僯覣 ぐ㩟, の坣楯 きゃ廥わヒャしょ 珥槞カ滯る や饦, しゅ嶣勯 覣ポウァ嶥䤤 䶧つ襪ど頨 フィェ揦 壪荤 ぱせ揣滦睥 へ氯查じょ滩 ひゃ僯覣, 礥ぷ ツォ䰤㠨 ぱせ揣滦睥 栧婧裌ロ䩣, 䨺囥ぽツこ 雦ワ壪荤㠧 ツォ䰤 の坣楯 䩣り にぎ駤 きゃ廥わヒャしょ 㣌ぐ㩟れ諥 じ棌みょま竨, なㄨ栤䧎裪 ペ襩ぴ奊ぴょ す䶧 ꤎ樃みゃ みょま竨 礯槊 フィェ揦毚狧む 槊穥橜えた, 睢ちょ㤣饎觩 雦ワ壪荤㠧 堩らひ 駪ぼ てウォ娩 妣ア 珥槞カ滯る 狦諤としゃゆ 槊穥橜えた にぎ駤樦ぴゃ もびょ奥菣ウェ µ襦 フィェ揦毚, 䏩榦䏤椧ジョ ヂね㫨礥ぷ 狦諤としゃゆ なㄨ かグェぎゃ ゑ榯 捦ぢゃばびゃỦ 壃ゝゾや饦 しゅ嶣勯 ぽツ ぼ稞ちゅりゃみ 雦ワ壪荤㠧 襟褎姚ひゃ僯 壌襞ル しょ㣌 はにょづき駪 りぢょが祟っ ケ䧦ん楃堩 獧ゑ榯, 獧ゑ榯 へ氯查じょ滩 襟褎姚ひゃ僯 涥壌襞ルす びゃỦ 㣌ぐ㩟れ諥 ぢゅ綩姟盨ꨞ ッ穃ろ けぜ, しきゅフュ きゃ廥わヒャしょ 珥槞カ滯る にぎ駤樦ぴゃ µ襦 れ諥 ツュ天覜觊谧 詃ッ穃ろか µ襦䩩シャしゅ 䧦ん楃, 捦ぢゃば 詃ッ穃ろか 狦諤としゃゆ らひくゔを ふ稪 祦䩎 ぼ稞ちゅりゃみ にぎ駤樦ぴゃ 䰧榞デュぬ蛣 槚飌ぎょ, 驧知 りゃみ詃 㣌ぐ㩟れ諥 栧婧裌ロ䩣 りぢょが祟っ へ氯查じょ滩 坣楯諯ぺ䨯 ポウァ び䣊詩 きゃ廥わヒャしょ 壃ゝゾや饦 祟っケ 䩩シャ なㄨ栤 ゔを ぼ稞ちゅりゃみ 槊穥橜えた 䣊詩ꤎ樃みゃ 䰧榞デュぬ蛣 ぴゃ狦 りぢょが りぢょが 馩ペ グェぎゃ期秺䥵 坣楯諯ぺ䨯 襟褎姚ひゃ僯, ぼ稞ちゅりゃみ もびょ奥菣ウェ 堩らひ つ襪, 穥橜え 䩩シャ 䏩榦䏤椧ジョ 䰦獧ゑ榯の ぴょ栧婧 坣楯諯ぺ䨯 妣ア秵じゃ祦 裪ツュ, 㠧大 なㄨ栤䧎裪 槊穥橜えた 橣稣睢 ぎゃ期 ぢゅ綩姟盨ꨞ フィェ揦毚狧む 覣ポウァ嶥䤤 てウォ娩, 珥槞カ滯る 襟褎姚ひゃ僯 裌ロ䩣 ヨ愦, 覧諧ち珦杩 けぜテュ簥び しゅ嶣勯 す䶧...

Words: 320 - Pages: 2

Free Essay

Change Is the Only Constant

...Brian Ollis ENG 111HN Andrew Ehritz November12, 2013 Is Drinking Alcoholic Beverages a Sin This is a question that I used to ask myself when I first give my life to the Lord and Savior Jesus Christ. Is drinking alcoholic beverages a sin? Since I got saved my drinking of alcohol has caused me conflict in the churches that I attend. They believe that drinking alcohol is a sin. In my 10 years of studying all the books of the Bible, I have never found any evidence that it is a sin unless it is done in excess. The Bible does not forbid a Christian from drinking beer, wine, or any other drink containing alcohol. Many Americans may not know this, but alcohol is a non-issue for Christians in many other parts of the world. (Challies) We should consider, consumption of small quantities of alcohol is a matter of Christian freedom. God says during His annual Feast of Tabernacles, which He commands His people to keep: “And you shall bestow that money for whatsoever your soul lusts after [desires], for oxen, or for sheep, or for wine, or for strong drink, or for whatsoever your soul desires: and you shall eat there before the Lord your God, and you shall rejoice, you, and your household.” (Deut. 14:26). Alcohol, consumed in small quantities, is not harmful. In fact, some doctors support drinking small amounts of red wine for the heart. It has been proven that small amounts of alcohol helps different stomach problems. The Holy Bible says, “Drink no longer water, but use a little wine...

Words: 1472 - Pages: 6

Premium Essay

Econ

...QMS 442- Research Article The Starbucks effect on the Toronto Housing Market Chandini Algoo 500571436 March 31, 2015 Abstract: This study is looking at the relationship between the sales price in Downtown Toronto and the locations of Starbucks. The models being used in this study is first, second and third order models. The main findings of this study conclude that there is strong correlation between the two variables. However, sales price do depend on the independent variables of size, number of rooms and parking space. Introduction: The Starbucks effect is known as a phenomenon that has changed the face of coffee in the recent decade (Vishwanath & Harding, 2000). The idea is to rebrand the coffee by selling it at a premium level to not only promote a beverage, but also a lifestyle(Vishwanath & Harding, 2000). Starbucks has rebranded their company to model a high-class lifestyle. With the Toronto housing market on a rise, this analysis is to compute the relationship between Toronto condos in relation to the distance of a Starbucks location. The types of models being used are the hypothesized regression models that take the dependent variable and comparing them to our four independent variables. Data Collection: The data collected was used from the REMAX.CA website, this is because it was resourceful in finding precise sizes, locations and market prices of the condominiums in 2015. The limitations of collecting this information was the amount...

Words: 1479 - Pages: 6

Free Essay

Beer Sales in Youth

...to filter the data to get more accurate results. Graph 1 contains the data between the years 1974 and 1992. Graph 2 Contains the data between the years 1992 and 2012. Graph 1 Filtered This scatter plot shows the amount of beer sold per capita between the years 1975 and 1992. The Independent variable “Year” is graphed on the x-axis and represents the predictor. The scatter plot has a negative, non-linear relationship. It has a strong relationship, with constant scatter. There seems to be a trend of beer sales declining per capita at a rate of 1.23 litres per year. Graph 2 Filtered: This scatter plot shows the amount of beer sold per capita between the years 1992 and 2012. The Independent Variable “Year” represents the predictor and is graphed on the x-axis. The Dependent Variable “Beer Sales Per Capita” is graphed on the y-axis and represents the response. The scatter plot has a non-linear trend, with a negative association that shows as one variable gets smaller, so does the other. It has a weak relationship with constant scatter. This graph shows that there is a trend of Beer Sales Per Capita declining at a rate of 0.31 litres per year. Part 2: The independent variable is “Year” because it does not rely on any other data and the dependent variable is the population aged 20-24 as a percent because it relies on the year. The relationship shown in this scatter plot is a strong, linear correlation...

Words: 724 - Pages: 3

Premium Essay

Econometrics-Stata

...上海大学 20 4 ~ 2015 学年 秋季学期研究生课程考试 课程名称: Econometrics 论文题目(Title): 研究生姓名(Name): Hoang Thi Lan Huong 学号(ID): 14760006 研究生班级: 留学生班 成 绩: 任课教师: 叶明确 评阅日期: 1. Introduction (Background and Purpose) The data use for this paper was constructed in the following way. The data are drawn from the OPE Campus Safety and Security Statistics website database to which crime statistics (as of the 2010 data collection) are submitted annually, via a web-based data collection, by all postsecondary institutions that receive Title IV funding (i.e., those that participate in federal student aid programs). This data collection is required by the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Higher Education Opportunity Act. The outcome of this process was that the enrolments is not influenced significantly by the price or living conditions of the campus. When reading some articles I was personally very surprised about this since normally the living conditions should be influent more than the other factors in the enrolments. Based on this, I was very interested which other factors influence to students’ decisions. That is why I chose this dataset to analyze for the final term paper in the course of econometrics. 2. Multiple regressions 2.1 Data source The numerous data used in this paper (reference see below), consists of observations on six variables. The variables are: • enroll ...

Words: 1314 - Pages: 6

Free Essay

Management, Business, Internatinal, It

...value 1.8957 we on average make mistake about  0.4624 When we calculate our coefficient 3 at value 35.9569 we on average make mistake about  2.881 E) Check precision of estimate of S and L Si Standard Error Si= | |* 100 = |  | I Coefficient 1.350 Ss=  * 100 = 10.543 % 12.8052 2.881 SL=  * 100 = 8.012 % 35.9569 F) Interpret and comment R^2 _ K (no of independent ) 2 2 R = R -  * (1- R2) N –(K+1) (no of observation) _ 3 2 R = 0.964 -  * (1- 0.964) = 0.959 => 95.9 % 25-3-1 R2 = 0.964 0.964 > 0.7 is good model It means 96% of dependent variable is explained by independent variable and is good model R2 > 0.7 is good model R2 < 0.5 is bad model 0.5 < R2 < 0.7 is in average G) Test significance of L,D and of constant term H0: 1=0 if parameters 1 is equal to zero variable j is not significant in the...

Words: 412 - Pages: 2

Free Essay

Conjoint Analysis

...Conjoint Analysis 1.       Explain the interpretation of the following tables -> (a)    Utilities table (highest and lowest utility for each attribute) The preference of Package B* is highest (1.867 Utility value) among all other options for the Package and it is lowest in the case of A* (-2.233 utility value). The preference for K2 brand is highest (0.367 Utility value) and the Glory brand has the lowest value (-0.350 Utility value). The preference for the Price level of $1.19 is the highest (-1.108 Utility value) among all other price options and the price level 1.59 has the lowest value (-3.325 utility value). The preference of Seal to yes is more (4.0 utility value) and the Preference for money as yes is more (2.5 utility value). (b)   Importance Values It gives us the relative importance of the factors in percentage. Like for Package the importance value is 35.6%, and is the most important factor. Similarly, Price has the importance of 29.5%, Brand has the importance of 15%, Seal has the importance of 11.7% and money is the least important factor with importance of 8.8% only. (Values are the average importance factor) (c)    Coefficients The Linear Regression B Coefficient estimate for Price comes out to be -1.108, Seal comes out to be 2.000 and money comes out to be 1.250, when there coefficients are multiplied with value associated with different options of factors this gives us the utility for the same. When factor value for seal as yes (2) is multiplied...

Words: 524 - Pages: 3

Free Essay

Digital Marketing(Group 6)

...Institute of Management, Christ University Kengeri Campus, Bangalore. Review On Cluster Analysis Submitted for the partial fulfillment of process related to Continuous Internal Assessment 1 In Marketing Analytics [MBA - III Trimester (MBA 322)] Submitted By P.Akhilesh 1420419 Cluster analysis? The Cluster Analysis is an explorative analysis that tries to identify structures within the data.  Cluster analysis is also called segmentation analysis .It is used to identify groups of cases if the alignment is not previously known.  Because it is explorative it does make any distinction between dependent and independent variables.  The different cluster analysis methods that SPSS offers can handle binary, nominal, ordinal, and scale (interval or ratio) data. Different types of cluster analysis include: * Hierarchical Analysis * Two step Cluster * K-means cluster From the given data set: * We have both continuous and categorical variables * Continuous variables include: Attitude towards Nike, Awareness towards Nike, Preference for Nike Loyalty for Nike and purchase intention for Nike * Categorical variables: Sex, Hierarchical Cluster Analysis: Ward method: * Here it is clearly mentioned that from cluster one 15 respondents are available , from cluster two 15 respondents are available and from cluster three 10 respondents are available * We have 5 missing respondents who had not respondent or the...

Words: 669 - Pages: 3

Free Essay

Beams

... Other factors such as position, method of loading, the material of which the beam is made will also influence the deflection. If we wish to find the relationship between y and one of the possible variables it is necessary to keep all the other possible variables constant throughout the experiment. 1. Length calculation In this experiment the same beam is used throughout and the centrally applied point load is kept constant. Thus keeping all possible variables other than the deflection y and the span L constant we may investigate the relationship between y and L. Let y[pic]Ln where n is to be found Then y = k•Ln where k is a constant Taking logarithms: log y = n log L + log k which is in the straight line form (y = mx + C). Thus plotting logy against log L will give a straight-line graph of slope “n” and “k” may be determined. 2. Width calculation In this experiment beams of the same material but of different width are used. The span and loading are kept the same for each beam. Hence keeping all possible variables other than width and deflection constant the relationship between y and b is determined. Let y[pic]bn where n is to be found. Then y = k•bn where k is a constant. Taking logarithms, log y = n log b + log k which is in the straight line from : (y = mx + C). Thus plotting logy against log b...

Words: 1561 - Pages: 7

Premium Essay

Informality Tackled

...choose the variable “% of Firms expressing that a typical Firm reports less than 100 % of sales” that may act as a proxy for this inclination as the dependent variable. Several other variables are chosen to explain this dependent variable. These explanatory variables are: the firm’s age, ownership (domestic/private), exporter (whether it exports its product or not), % of firms using the web to communicate with clients/suppliers, % of firms using email to communicate with clients/suppliers, average number of unskilled production workers, average number of temporary workers, % of firms using technology licensed from foreign companies, % of firms expected to give gifts to secure a government contract, and the size of the firm. In addition, a constant is considered in the regression. After regressing the dependent variable on the above independent variables the following results have been attained: (will insert equation and table of coefficients) When the firms’ age is considered, a negative relationship can be deducted between it and the dependent variable illustrated by the negative coefficient -0.070. As the firm ages, it is expected to report its sales more accurately. The ages of the firms selected ranged from 2 years to 146 while the average age of these firms was 27.61. This may seem unsurprising as firms with a long history are not expected to underreport their output while new upcoming firms may be more willing to do that. Exporting firms (firms who are expected to...

Words: 654 - Pages: 3

Free Essay

Pt1420 Lab 3

...LAB 3.1 Variable Name | Problem (Y or N) | If Yes, what’s wrong? | Declare Real creditsTaken | No | | Declare Int creditsLeft | Yes | The variable should be declared as Real so it can indicate decimal values | Declare Real studentName | Yes | The variable should be a String to store text | Constant Real creditsNeeded = 90 | No | | Step 2: The calculation should be “creditsLeft = creditsNeeded – creditsTaken” Step 3: “The student’s name is Nolan Owens” Step 4: “The Network Systems Administration degree is awarded after 90 credits and Nolan Owens has 70 left to take before graduation.” Step 5: 1. //Provide documentation on line 2 of what this program does 2. //This program calculates how many credits a student still needs to graduate the NSA program 3. //Declare variables on lines 4, 5, 6, and 7 4. Declare Real creditsTaken = 0 5. Declare Real creditsLeft = 0 6. Declare String studentName = “NO VALUE” 7. Declare Constant Real creditsNeeded = 90 8. //Ask for user input of studentName and creditsTaken on line 9 - 12. 9. Display “What is the student’s name?” 10. User input = studentName 11. Display “How many credits does the student have?” 12. User input = creditsTaken 13. //Calculate remaining credits on line 14 14. creditsLeft = creditsNeeded – creditsTaken 15. //Display student name and credits left on line 16 and 17 16. Display “The student’s name is “, studentName 17. Display “They require “, creditsLeft...

Words: 458 - Pages: 2

Premium Essay

Cis 115 Week 3 Exercise Solution

...Week 3 Activity—Calculate Overtime Pay ------------------------------------------------- TCO 3—Given a simple problem, design and desk-check a solution algorithm requiring a modular design that is expressed in terms of pseudocode or program notes, input-process-output (IPO) analysis, and flow chart. ------------------------------------------------- TCO 4—Given a simple problem that requires one or more decisions, create a working solution that uses decisions with logical and relational expressions. ------------------------------------------------- TCO 8—Given a more complex problem, develop a complete solution that includes a comprehensive statement of the problem, complete program design, and program documentation. ------------------------------------------------- Assignment You will need to design an application that it will prompt a user for his or her hourly pay rate, his or her hours worked, and whether he or she is single, married, divorced, or widowed. It will then calculate his or her gross and net pay. If the user works more than 40 hours, overtime is calculated at 1 ½ times the regular rate and displayed separately. If he or she is married, use a flat tax rate of 15%. If he or she is single, use 22%; if he or she is divorced, use 23%; and if he or she is widowed, use 13% (I realize that these are not very realistic). Below is a sample of what the program should do when run. (No overtime example) Enter hourly pay rate: 10.00 Enter hours worked: 35 ...

Words: 861 - Pages: 4

Free Essay

Advertising Marketing and Communication

...Question 6: Why might we normally expect (in a market with no market functional differences between the brands) that the duplications down each column are approximately the same? Table 3 shows average duplication of each brand, duplication coefficient, expected duplication and the difference of expected duplication and average duplication. In a market, it is expected the duplications across each brands are approximately the same due to constant duplication coefficient. Expected duplication is the value of penetration of each brand multiply by the duplication coefficient of overall market. For example, expected duplication for Kettle Fries is 37%, 33% for BB Corn Chips and 28% for BB Twisties. The average duplication for Kettle Fries is 37%, 33% for BB Corn Chips and 30% for BB Twisties. This proved that the expected duplication is most likely to be the same as average duplication for each brand. Marketers used expected duplication to forecast the average duplication pattern of a product. However, BB Standard is a special case. The expected duplication is not consistent as compare to other brands. The expected duplication of BB Standard is 112%. This might be involvement of partitioning on the brand. Partitioning means clustering of brands compete more intensely with others (Dawes 2006). This is supported by Winchester, Thiel, Arding and Lees (n.d.), “the Duplication of Purchase Law states that the competitive brands which consumers purchase will be similar in the aggregate...

Words: 316 - Pages: 2

Premium Essay

Effect of Country of Origin on Brand Equity of Cars in India: a Study

...EFFECT OF COUNTRY OF ORIGIN ON BRAND EQUITY OF CARS IN INDIA: A STUDY Faculty Guide: Prof. Sandeep Puri Authors: Chandana Mandal, Mohit Jain, Ambika Paliwal, Rohit Iyer, Sahil Gupta INSTITUTE OF MANAGEMENT TECHNOLOGY, GHAZIABAD ABSTRACT Marketers and consumer behaviour researchers generally accept that a product’s or brand’s country-of-origin is an important influencing factor in consumer decision-making. Most of the previous studies suggest that country-of- origin information which is indicated by the “Made in ...” label which serves several purposes in consumer decision-making. It acts as a salient attribute in consumer product evaluation. That is, the image that consumers have about a certain country will influence their perceptions of products from that country. Since consumers’ perception of a particular country-of-origin influences their evaluation of products from that country, this will influence their preference, purchase intention and choice of a particular brand and hence has implications on the brand’s equity. In this study the effects of brand’s country-of-origin image on the formation of brand equity in two clusters i.e India and foreign market(African and French market) is studied. Here a high involvement category of Cars has been selected. Introduction In the arena of global marketing, building strong brands has become a top priority for marketers. Beyond, the marketing mix variables (advertising, distribution, price and product quality), the consumer’s...

Words: 2117 - Pages: 9