Ukrainian Folklore Essays - Ukrainian Studies, Ukrainian Dance

Ukrainian Folklore Purposes of Ukrainian-American Folklore The relatively large Ukrainian community in the United States has many traditions and customs, most of which stem from a feeling of Ukrainian nationalism. As Ukraine was being overtaken by Russia, Ukrainians were immigrating by the thousands to the US. Ukrainians moving to the new world were leaving behind a disappearing culture and moving to a completely different land. Immigrants were proud of their heritage, and many of the traditions that were started in America exist to preserve this heritage and to pass it on to future generations. The Ukrainian Boy Scouting program is one such tradition. Ukrainians in America started this program in the early 1900's to train their young to return to Ukraine and drive the Russians out. This began as resistance to Russian rule over Ukraine. All boys and girls participate in this intermittently throughout the year, starting at age seven and continuing for life. Ukrainian Boy Scouts is very different from the typical American view of Boy Scouts, in that it involves a more rigorous wilderness-training program. This is because the program was essentially started as a military training program, and although it exists now only for fun and tradition, many of the subjects and ideas taught to the youths remain the same. People who are involved in the program put their children through it, as an attempt to preserve Ukrainian culture. When Ukrainians turn eighteen they become counselors, and at age thirty-five they become seniors and run the program. This program, along with a handful of similar programs, was started for various reasons. To begin with, Ukrainian youths had trouble adjusting to American society. They (Ukrainian youth programs) are helping to solve some of the social problems of the ?second generation' that does not seem to be able to find its way into American society or does not feel at home there. Ukrainian youths were out of place in America with no sense of identity, and these programs made the adjustment less difficult. These programs also serve to maintain youth interest in Ukrainian heritage. The adults are perplexed at the indifference of the American-born youth to such worthy institutions (Ukrainian-American organizations). The youth programs involve American-born Ukrainians at a young age, insuring that they will grow up to preserve Ukrainian heritage and culture. A third reason for these programs is that, at the time of their creation, the Ukrainian community in America was divided into two groups. One of them represented independent Ukrainian nationalism and the other, being stimulated by funds from Russia, was pro-Russian. The nationalist group was responsible for these programs. In addition to the other functions, they started these programs to compete with the pro-Russian faction and ensure the survival of Ukrainian culture. These programs exist today to ensure the future of Ukrainian culture, essentially serving the same function it always has. The Red Flower is a traditional Ukrainian song. It also comes from Ukraine's history with Russia, and although it is sung in Ukrainian, The chorus goes as follows in English: Down in the valley A flower wilted And our sacred country Went to ruins The flower in the song is a metaphor for Ukraine, and when Russia took control of Ukraine, the flower wilted. This is a somber song, which is sung at serious gatherings such as funerals or church. It is also sung often during the Boy Scouts training, to teach the young to sing it. Clearly this song serves as a source of nationalism, because the words remind those who hear it of Ukraine's sad past. The song also reminds Ukrainians of why it is important to preserve their culture, to restore Ukraine to glory. The Hopak is a traditional Ukrainian dance, which is performed frequently by Ukrainians in America. Outsiders often refer it to as the Russian Dance, but it is actually a Ukrainian dance. The dancer is a man wearing leather boots, loose fitting red silk pants, and a white shirt with colored embroidering down the middle. His hair is shaved to the scalp except for a small circle on the top of his head, where the hair is about half a foot long. He squats down low, and kicks his feet out with his body upright and his arms folded.

Progressivism And Its Effects Essays - Freemen Of The City Of London

Progressivism And Its Effects Essays - Freemen Of The City Of London Progressivism and its Effects Progressivism was a period of American history in which improving working conditions, improving the way of life, exposing corruption, expanding democracy and making reforms was the main idea of this period. Many of the citizens granted and demanded a change in numerous areas such as business, labor, economy, consumers and an increase of democracy. The progressive period was marked with the arrival of three great presidents Roosevelt, Taft, and Wilson all three of these presidents fought for the common good of the people. Teddy Roosevelt was known as the "trust buster" and that is exactly what he did to help control big business. Many large corporations had complete control of the services that they were selling. Roosevelt went in to these companies and helped to stop this type of monopoly. The biggest trust that Roosevelt busted was the one involving Northern Securities and J.P. Morgan. Roosevelt was also a big supporter of labor he tried almost everything and anything to help the citizens of the United States. Teddy set up child protection laws, which were used to prevent children to work in factories, and it also reduced the amount of time they worked. Roosevelt also set up workman's compensation, which is a payment that employers had to pay employees who get injured on the job. President Wilson also tried to help and improve the conditions for workers he did this by adding and income tax. This type of income tax is called a progressive or graduated which would rise with the amount of money that a person makes. This really helped the poor because they were taxed less than big business men were. Wilson helped the economy by instituting a Federal Reserve Bank. This bank was a system in which there would be twelve federal reserve banks all throughout the country. All national banks were required to join this system. This bank system made a compromise between private and public control. Wilson also added a tariff called the Underwood Tariff, which lowered the price on imported goods. He did this because he had an idea that if you open up your market to foreign goods then the foreign markets will open for you. Taft issued a tariff called the Payne-Aldrich Tariff; this tariff put hi taxes on imported goods. Taft believed that this would be good for the country and help business grow. Roosevelt tried his best to help consumers, he proposed to congress the Pure Food and Drug Act. Teddy demanded that congress pass this act because he thought the way consumers were being treated was wrong. This act was used to protect citizens from unsafe medicines and food. The Meat Inspection Act was also passed because of a book written by Upton Sinclair called The Jungle. The Meat Inspection Act regulated that all food must be inspected, prohibited the use of addictive drugs in prescription medicine and required proper labels on food and drugs. Democracy was increased in the United States by the introduction of the referendum, initiative and the recall. The referendum proposed legislation to be submitted to the voters. The initiative allowed a group of citizens to introduce legislation and recall allowed voters to remove elected officials from holding a special election. Also a direct primary was instituted this was the direct election of a public official.

The Effects of the Vietnam War on American Soldiers Essay

The Effects of the Vietnam War on American Soldiers - Essay Example The South Vietnamese forces along with the United State depended on the air force and fire power with which they conducted search and destroy operations. "The Vietnam War, like the other two world wars before it, was a conflict that defined war for a generation. Unlike those previous wars, it was not fought on a broad international battlefield but rather in a narrow stretch of land far distant from America. Moreover as our study shows, it left not a single overwhelming image, but conflicting visions and meanings over which we continue to fight, though less stridently than at the height of that bitterly divisive conflict" (Wouters and Laufer 316). The United States entered the war to avoid the takeover of South Vietnam by the communist. The strategy behind this support was called containment. U.S. Military advisors arrived in 1950. In the early 1960s the U.S. involvement grew and the early 1965 they deployed combat units. The involvement of the U.S. was the highest in 1968 during the Tet Offensive. Later U.S. forces withdrew under a policy called Vietnamization, as South Vietnamese troops were armed and trained. The fighting in Vietnam continued even after a peace treaty was signed by all parties involved in January 1973. The U.S. Congress passed the Case-Church Amendment in June 1973, responding to the anti-war movement. The Case-Church Amendment banned U.S. Military intervention. North Vietnam captured Saigon in April 1975. In 1976, North Vietnam and South Vietnam were reunified. The Vietnam War had a huge impact on the culture, foreign relations and politics of the United States. The American citizens were very upset over the government's justification for the war and the means of fighting used. The war encountered a large human cost, which included the loss of 58,159 U.S. soldiers. The Vietnam War did not only result in the loss of life of American soldiers. The war had lasting effects on the soldiers who were in Vietnam. The soldiers not only suffered physical pain and injuries, they also suffered many psychological disorders. The fact that their own country men had turned against them affected the soldiers psychologically and emotionally. "Going to war creates a gulf between the warrior and his fellow citizens who have not directly experienced warfare" (Wouter and Laufer 40). The effects on the psychic of the soldiers were devastating up to the extent that they also stared committing suicide due to depression. The soldiers also faced problems which had lasting effects, these included drug addiction and the effects of Agent Orange on the soldiers and their children. "With the Vietnam war came widespread drug use, anti-military activism, racial tensions and increasing crime, all of which debilitated the training and readiness of the U.S. forces" (Baker 64) . Soldiers faced extreme conditions like hunger, fatigue, diseases and the like. Due to the intense conditions the soldiers faced in Vietnam, war memories were not forgotten easily. This resulted in a psychological disorder called delayed stress syndrome, which is described as extreme stress or even disorder of the brain caused by shocking memories of the past. Studies show that almost 15 per cent of the 3.3 million Americans who were a part of the Vietnam War were diagnosed with delayed stress sy

Contingency Planning Outline (Hotel Industry) Essay

Contingency Planning Outline (Hotel Industry) - Essay Example Besides, it is always important to note that individuals will always look for ways to improve themselves and this creates the need for these individuals to be constantly in motion. This is one thing that affects today's organization as the labor force becomes unpredictable. Such is the reason to come up with a contingency plan to guard against the losses arising from such unforeseeable situations. Mainly to come up with a plan for such situations, the management will have to consult widely on how to first ensure that there are no situations going to occur like that. This again is followed by evaluating other ways of curtailing the effects of the same if in any case it occurs. This is what creates the bases of any contingency plan; an evaluation of the action plan. In this case, we look at a contingency plan which specifically deals with human resource. The following steps can be followed. Examine the possibility of having new employees who might be serving on a part time basis in the current period. If the hotel or organization does not have individuals serving on a part time basis, it is important that they consider having provisions for that as these provide an almost exact replacement having acquired and learnt about the organizations processes overtime. The other step would be having the proper links with labor unions and recruiting firms which would provide an immediate replacement in case of turnovers that attempt to cripple the activities of the organization. The last of the plans that may work as far as the employees or human resource is concerned is ensuring that there is a mechanism in place which monitors the individual's involvement in work processes. Studies show that individuals who have a stronger probability of leaving the organization are likely to be less involved and tend to or incite others. A mechanism that identifies such behavior is likely to help reduce the effects of sudden turnovers which may result in losses for the firm. It is important to note that some of these effects that arise as a result of human resource changes may be quite drastic and may lead to the collapse of the organization. So, having a mechanism that enables prediction and at the same time provides a way to counter would boost the situation of the organization. Contingency plan on financial resources needed This is another very vital resource in the organization not only in the hotel industry but in all other industries. The money resource is the base for any business as it involves the capital employed, the rates paid and the wages paid. A money resource is the seed in any organization as it is what creates the organization. Though individuals may have an idea, it is impossible to breathe life or transform the idea without money. Thus, for any organization to run smoothly in terms of service provision, activity control and product creation, a considerable investment needs to be employed. Though individuals or human resource as discussed earlier may be the driving force in an organization, they are there because their efforts in learning the organization are compensated. The way to compensate the human resource is through money. For an organization either in the hotel industry or any other industry to run accordingly, it has to have a sound financial base. What this ensures is that all the other resources are present and compensated for fully. But it is not always

Finance - Stocks, Yields and Portfolios Essay Example | Topics and Well Written Essays - 2500 words

Finance - Stocks, Yields and Portfolios - Essay Example It majors in computer software development. Mattson Technology Inc. is in the field of designing, developing, and manufacturing equipment for the manufacture of semiconductors and other products. It is also a significant player in the NASDAQ daily operations, and has a big presence across America. Advanced Management Strategies Group majors in logistics, program management, business consulting, engineering support, product lifecycle management (PLM), PLM IT tools, and IT services management. That therefore implies that the stock analysis carried out comprises one software, one hardware, and one consultancy firm. Discretely compounded return rate measures the rate of changes in the value of asset over a period assuming countable compounding periods while continuously compounded rate of return measures the rate of change in the asset value associated with a holding period under the assumption of continuous compounding. (Analyst Notes par 1). They are calculated as follows: The arithmetic mean return is a computation of the average returns for a specified period of time. It involves summing up all the returns for the specific period, then dividing the total by the individual number of sub-periods. The geometric mean return calculates the average rate per period on an investment that is compounded over multiple periods (Finance Formulas par1). c) Positively correlated stocks point to a high likelihood of similar trend in movement over the determined length of time. The stocks may be having a common factor that makes them tend to behave this way, for example for companies producing closely related goods, or those producing complementary goods such as cars and petroleum companies. It is advisable that potential clients shun positively correlated stocks, because if they suffer a slump, it will result in a double loss to the investor. Among the stocks featured in this report, MSFT and MTSN have the highest positive correlation, at 0.41730442. They

The Indian Manufacturing Sector Performance Economics Essay

The Indian Manufacturing Sector Performance Economics Essay Chapter 2 Introduction The manufacturing sector performance has always been the focus of academic and polity debates and especially so in India, due to the deviation of the same from theorized behavior (Developmental theory of transition of economies). Even recently, in the discourse on the recession, its aftermath and revival, the highlight was the manufacturing sector performance, since it is seen to be on retreat (After the 2008 crisis, it regained momentum (from a drop of about 10 percentage points in 2008 09) in 2009 10 at 9.7% (simple average annual growth) but since then it has been on a decline and in 2011 12 it was at 2.5%). The major industries (automobiles, chemicals, machinery equipment, textiles etc.) experiencing receding growth rates has seen the National Manufacturing Policy (2011) (which introduces the NIMZs (in addition to SEZs) to address the infrastructural bottlenecks faced by the industry) and other such critical measures from the government, especially since it fears that a recov ery is unseen in the horizon, given the probable interactive effects of rising interest rates, escalating fuel and input costs, the volatile exchange rate, falling domestic demand, uncertain global economic scenario and policy paralysis (Bhandare, 2011). This importance accorded to the sector arises from three main points, namely, its importance towards macro economic stability, its employment implications (given that the services sector, though the highest contributor to the GDP, contributes only about a quarter of the total employment and given that manufacturing sector employs, unskilled, semi skilled and skilled labour), its forward and backward linkages with the other sectors (which makes it the key to boosting the economys vital signs) and finally due to the emphasis that was placed on it (for an industry led development) by the development theories and Indias early development strategy. As Bhandare, rightly puts it, neither reforming the primary sector nor the leapfrogging of the services sector alone can deliver India a BALANCED and long term (sustainable) development. The idea of self reliance was at the roots of Indias development plans in the immediate decades after independence and this was the reason for the heavy emphasis on developing a strong industrial base for the country and thereby for the heavily monitored and regulated industrial policy regime. The focus and the responsibility to bring about the same (through strategic promotion of the heavy industries), fell on the public sector and as Trivedi et. al (2011) notes, the private sector was to play only a supplementary role. Some notable features of the Restrictive Regime were direct physical controls like capacity licensing, reservation of certain industries to the public sector (or rather the restriction of private sector from certain industries), tariff and non tariff barriers to imports, foreign exchange and investment regulations, other market regulations like MRTP etc. The transition to the Limited Liberalisation Regime (as termed by Burange Yamini, 2011) happened towards the la te 1970s and was marked by a slow shift from direct physical controls to indirect controls through selective delicensing and deregulation, encouraging the private sector in some industries, marginal relaxation of the tariff rates etc. The main aim of the reforms were to unleash the growth potential of the sector since the performance of the sector, prior to the late 70s, mirrored the performance of the economy which was characterized by growth rates which ranged at around 3%, that were infamously dubbed the Hindu growth rate. The Industrial policy regime then followed has been pointed to as the cause for the industrial stagnation by many, including Ahluwalia (1991) who also argues that the 80s reforms succeeded in bringing about a positive shift in the growth path of output and productivity. The 1991 reforms reflected explicit liberalization in the Industrial sector with the New Industrial Policy (1991) and were enacted with the primary intent of wading through the severe fiscal and macro economic crisis that India was mired in, at the time. These reforms were comprehensive and macro economic in nature and structural adjustment and stabilization were at the core of the 90s reforms (Trivedi et. al, 2011). These differences naturally generated expectations of higher growth paths of output and productivity than that of the 80s period. But as they note, the reforms succeeded in pulling the economy out of the crisis and in alleviating the foreign exchange constraint and controlling inflation but not in bringing about an upward shift in the growth of output and productivity. These expectations about the performance results of liberalization stems from the theorized behavior of Liberalisation (from cross country analyses of the effects of liberalization by developmental theorists), especially in developing countries. The logic behind this argument that liberalization leads to growth, especially in developing countries, has been covered by the developmental theory literature under four threads. First being that, liberalization leads to technological improvement which generates more efficient capacity utilization and thereby promotes investment and exports. This eventually leads to more robust output growth. Second theory states that liberalization increases competitive pressure in the economy and this will result in the exit of inefficient firms. The exit of the inefficient tail would leave the average efficiency in the economy higher up and thereby result in better output growth. The third is that liberalisation will release the producers from the disadva ntages of inefficiencies and increase the incentives for geographical diversification which implies capture of new export markets and expansion activities like mergers and acquisitions and these will raise the rate of growth of output of the sector. Another theory that stems from the Hecksher Ohlin model and proposes that liberalization will free the factors of production from inefficient regulations and costs and thereby will benefit the countrys abundant factor. Performance is usually considered synonymous with growth performance and therefore, is always assessed keeping growth as the key measure. Krugman (1994) notes that economic growth is the sum of two sources of growth, namely, increase in inputs and increase in output per unit of inputs (i.e, productivity). Growth Accounting calculates explicit measures of both to calculate what percentage of growth accrues to each input and what percentage to productivity and efficiency. The separate but interdependent concepts of Productivity, Efficiency and Competitiveness are indicators of performance. Growth via improved productivity (and not increased inputs) is the focus of any strategy that aims at sustainable growth and therefore productivity analysis is an integral part of any performance analysis. Mouelhi (2007) considers output growth, employment growth, productivity growth, exports growth and capital intensity growth as the indicators or elements of performance of the manufacturing sector . In this paper we analyse output and employment growth using data from the Annual Survey of industries and productivity growth using prior literature. Motivation Figure 1. Simple Annual Growth in GDP At Factor Cost, Constant Prices, Base Year 2004 05 Source: RBI, Handbook Of Statistics on the Indian Economy From the above figure it could be considered safe to say that the manufacturing sector and its growth rates do (quite heavily) influence the economys growth rate. That is to say, the direction of the manufacturing sector does reflect the mood of the economy or vice versa. Also, it is noted from the movement of the GDP and Share in GDP of both the Industry and Manufacturing sectors that Manufacturing pulls Industry (by a vastly higher measure) as compared to Mining Quarrying And Electricity, Gas Water Supply (namely, the other components of Industry). So it is assumed safe to use the IIP for the analysis under the study. So, it would be imperative to study the movements of the manufacturing sector especially under the current context of uncertainty over the global dynamics and Indias own concerns. Literature on the impact of liberalization is vast and divergent, with disagreements on the results, data quality and data sources, methodology, indicators and their scope, model specification etc. and therefore, as Rodrik (1997) says, the nature of the relationship between trade policy and economic growth remains very much an open question. Theories Examined Despite the aforesaid emphasis on the manufacturing sector in Indian planning outlays and strategies, share of manufacturing in GDP and its growth rate has only been modest at around 16% in 2009 10, from about 13% in 1970 71 and 15% in 1990 91. So, Trivedi et. al (2011) argues that the 90s reforms brought about increase in growth and productivity as did the 80s reforms. But these fell short of expectations especially when considering the fact that the reforms of 1991 were macro economic in nature while those of the 80s were restricted to the fiscal and industrial sector reforms. And further they cite Rodrik and Subramanian (2005) that there has been no structural break in either output or productivity growth since the initiation of the 90s reforms and that the 1980s reforms had resulted in an improved growth performance of Real Gross Output (compared to the Restrictive regime). But though this growth momentum has been maintained in the 1990s, they find no statistically significan t improvement in the same. As noted by Chaudhuri (2009), Nagaraj (2011), Burange Yamini (2011), Kalirajan (2004) and many others, the pattern of manufacturing growth observed before 1991 was that of periods of high growth invariably followed by periods of low growth. The period after 1991 has brought no difference to this trend. The rate is seen to fluctuate widely even in the post-reforms period, registering a decline since the early years, picking up in 1993 and decelerating again in the late 1990s. It has recovered since 2002-03 and fell back after 2007-08. The factors behind this instability of the sector ranges from famines to business cycles to shifts in policy regimes. Chaudhuri (2009) makes the following observations. The (compound annual) rate of growth for the manufacturing sector between 1991-92 and 2007-08 at 7.18% is only marginally higher than that attained during the first three plan periods (6.45%). Taking only the registered manufacturing sector, the increment betw een the periods is negligible at 0.1 %. In fact the growth rate (for the registered manufacturing sector) during 1952-53 to 1964-65 (8.87%) and during 1980-81 to 1990-91 (8.29%) was higher than that in the post-reforms period (between 1992-93 and 2006-07) at 7.99%. Using the Kinked Exponential Model for structural break analysis in growth rates, we find that there is only a marginal difference between the coefficients b1 and b2 which means that there is no substantial structural break in the Manufacturing GDP data. The analysis is for the period from 1980 81 to 2000 01. The kink is analysed at 2 different years, namely, 1990 91 and 1996 97 and no significant break is found in either year. But on analysing the same period for the Manufacturing Value Of Real Gross Output we note the structural break at 1996 97 is significant. The structural break is highly significant if Net Value Added of Manufacturing is brought under the analysis, over the same period. This implies that the analysis backs the argument that there hasnt been any substantial increase in the growth path of the Manufacturing output in the 1990s from that of the 1980s, in terms of Sectoral GDP. But when considering the Value Of Real Gross Output or Value Added of the sector, it seems there has been a structural break in 1996 97. Therefore, the analysis cannot be taken to validate or refute Rodrik and Subrahmanians argument that there hasnt been a structural break in output growth since 1991. Figure 2. Kinked Exponential Model for Manufacturing GDP (1980 2000) Source: Own calculation Table 1. Kinked Exponential Model for Manufacturing GDP (1980 2000) Source: Own calculation Figure 3. Kinked Exponential Model for Manufacturing RGO (1980 2000) Source: Own calculation Table 2. Kinked Exponential Model for Manufacturing RGO (1980 2000) Source: Own calculation Figure 4. Kinked Exponential Model for Manufacturing NVA (1980 2000) Source: Own calculation Table 3. Kinked Exponential Model for Manufacturing NVA (1980 2000) Table 4. CAGR Of Manufacturing GDP and its Share in GDP Source: Own calculation Table 5. Summary Statistics Of Manufacturing GDP and its Share in GDP Source: Own calculation Table 4, provides the Compound Annual Growth Rates for the different sub periods, from 1950 51 to 2011 12, and it can be seen that there has been only a marginal improvement in the CAGR in the 1990s as compared to that of the 1980s. And as table 5 shows, there has been a decrease in the absolute volatility in the growth in Manufacturing GDP in the 1980s (as seen from the Standard Deviation values) which is followed by an increase in the 90s only to further decline in the 2000s. The relative variability in the period 1991 92 to 2000 01 at 0.87 is higher than that of the previous period at 0.40. Growth rate of Share of the Manufacturing sector in GDP also follows the same trend. Another point worth noting is that there has been a consistent decline in the average growth in share of Manufacturing in GDP and this confirms what has been noted by Kalirajan (2004). Since 1997 98, along with the decelerating growth there has been a decline in the share of manufacturing in total GDP. Al so, as noted by Mani (2011) and Nagaraj (2011), the share of manufacturing sector in GDP was stagnating at around 15% even as the growth of the sector was at around 10% for over five years. Therefore, the data seems to point that the 90s reforms have not led to substantial positive changes in the growth path of output from that of the 80s. Another point to note is that there is an improvement all the figures in the 2000s (starting from the late 90s). Rodrik and Subrahmanian (2005) explains this as the J Curve effect of Productivity and Output growth. The J Curve rationale blames the major structural changes ensuing liberalization (and the adjustment process thereafter) for the initial slowdown in the sector (Hashim et al, 2009). Virmani (2005, 2006) proposed the hypothesis of the J-curve of productivity and output growth following major reforms and the differences in the pattern of productivity that was noticed to be brought about by the pacing of reforms. From empirical evidence we also see that the timing (pace) and sequencing of the reforms impact growth performance. The productivity and output growth path is hypothesized to take the form of a J, S or a hybrid S-J Curve which is explained by the pacing of the reforms (namely, major reforms or gradual reforms). Virmani Hashim (2011) notes that in India, the hypothe sis was proved true during the 1980s but not during the 1990s. Their analysis shows a clear J-curve pattern of total factor productivity growth for Indian manufacturing as predicted by the J- curve hypothesis which, in turn, was reflected in output growth. Nagaraj (2011) puts forth the recurrence of booms and deceleration (in itself) as the pattern of growth in output after finding out that after a (theoretically) expected dip in 1991-92 (on account of the crisis and adjustment), output boomed for four years, peaking in 1995-96 at 13% (following the predicted J curve) and that the boom petered out quite quickly, followed by a steep deceleration for seven years until 2002 03 while the next boom lasted for  ¬Ã‚ ve years, from 2003 04 to 2007 08. As Kochhar et al (2006) notes, India has not confirmed to the development theory of transition economies whereby the usual trend is a massive transfer of unskilled labour from agriculture to manufacturing (or industry). That is, the manufacturing employment post reforms has been stagnant and Indias services sector led growth has been laid to blame for this. Contribution of manufacturing to total employment is the lowest, that is, in India, services sector absorbs more labour than the manufacturing sector. The trend in employment generation of the registered manufacturing sector tells a different story from that of its output generation. Employment in the factory sector has been declining despite the acceleration in the growth rate of output since 2000 01 and in 2003 04 and the figure was 10% lesser than that in 1995 96 (Chaudhuri, 2009). This pans the issue of Jobless Growth that has been (nearly) comprehensively covered by literature bringing forth the issue of growing capital intensity, and cheaper relative price of capital resulting in substitution of labour for capital as the primary cause. This poses a theoretical impasse, since (market oriented) economic policy reforms are conventionally expected to result in an acceleration in the rate of growth of output and productivity thanks to the underlying short term gains in static efficiency (through re-allocation of factors to efficient uses) and dynamic efficiency gains. One view (Goldar, 2000, 2011) says that there is a substantial increase in organised manufacturing employment in the liberalised regime of 1990-91 to 1997- 98 and 2003 04, as compared to the 80s. Nagaraj (2004, 2011) has contradicted this noting that the employment growth when analysed in the same picture as that of capital growth asserts the jobless growth phenomenon. According to him, the whole period can be termed as a period of jobless output growth where output has grown with more capital-intensive technology. Stagnant per capita real wages are said to be another paradox whereby the natural transition of output growth into growth in real wages has not transpired yet in Indian manufacturing thereby raising concerns on lack of domestic demand. Trivedi et. al (2011) note a U trend emerging in the growth of real emoluments (from a revival in the figures from negative rates in the 90s) and the consistent decline in growth in real wages. They consider this to imply increasing compensation to the managerial and supporting staff while the workers face stagnant real per capita wages and raise concerns of inequality and productivity implications. Table 6. CAGR Of Principal Manufacturing Aggregates Source: Own calculation Table 6 confirms the Jobless growth hypothesis which can be found to hold true for all three variables of labour, namely, Number of Workers, Number of Employees and Total Persons Engaged. What is to be noted is not only the definite declining (and negative) growth rates of the 90s, but also that Number of Workers and Number of Employees were on a declining growth path even in the 80s. And that growth in Number of Workers and Total Persons Engaged are seen to revive during the sub period 1999 08. Another major concern is the different patterns exhibited by the growth in wages and that in emoluments. While both are found to be on a declining growth path, the rate of decrease in the growth of emoluments is substantially lesser than the steep and concerning decline in that of wages. The U trend noted by Trivedi et al (2011) cannot be brought forth due to unavailability of data on the same. Some other features of the data under analysis, that are brought out by these summary figures are the decline in the growth of Real Gross Output, Net Value Added and Net Fixed Capital Formation show the same patterns of decline in the 1990 2000 sub period and this extends to the 1995 04 sub period. But the 1999 08 figures of NVA and NFCF show revival. Therefore this analysis seems to come out in support of the J Curve hypothesis of output and productivity growth. Disaggregated Analysis is essential for assessing the structural dynamics of the sector. Guha (2008) noted that the inter temporal comparative analysis of the differences in the growth process at the disaggregated level explains the structural change that has occurred in the manufacturing sector (which in his analysis comes out to be substantial). An S curve pattern is expected to be followed by the growth and TFP in positive response to the reforms, taking the sector from a lower steady state to a higher steady state. At the disaggregated level, we expect a majority of sub-sectors to follow an S-curve pattern, but also some fundamentally non-competitive sectors to project a decline (due to comparative disadvantage). Trends in productivity growth at the (disaggregated) sub-sector level of manufacturing showed a much more varied pattern of growth than at aggregate level. Out of the twenty two sub-sectors analysed in their paper, three followed an S-curve pattern (14%), eight followed a J curve pattern (36%), and ten followed a hybrid S-J pattern (45%). This is to be expected in a situation in which different policy reforms are paced differently and affect different industries to different degrees and the analyses by Guha (2008), Hashim, Kumar Virmani (2009), Kaur Kiran (2008) and others have empirically substantiated the diff erences in interpretation brought about by disaggregate analysis and the differences in impact of the policy reforms on different industries. Also, using dummy variables to determine the effect of reforms on the TFPg across a disaggregated table, they find that according to the Growth Accounting Analysis, there has either been no acceleration or deceleration in all the subsectors (except Metals) and states (except WB and Haryana). But in their analysis using the Production Function Approach, they find that there has been a revival in the TFPg post 90s. But even those figures reiterate that the revival fell much short of the expectations of Liberalization. Table 7. CAGR Of Principal Manufacturing Variables Across Major subsectors Source: Own calculation Table 7 gives the two digit level disaggregated analysis for the Indian manufacturing sector. Only 10 major industries that contributed above 2% as share in output and employment have been considered for the analysis. All industries show revival in the late 90s, with respect to growth in share in manufacturing employment. Dye and Fur industries, Chemical industries, Vehicle industries and Tobacco industries are the only sectors that do not exhibit negative growth rates, though without exception all show declining growth rates in the first two sub periods. In the case of growth in input intensity, all except the tobacco and textiles industry shows an increase in the last sub period (from a declining path, previously) which raises concerns over the sustainability of output growth in the sector. The rise in input intensity seen in the late 90s raises questions about the accuracy of the J curve inference that was reached upon earlier. The Food and Beverages sector shows the tendency of c onsistent decline in growth in RGO and NVA. Equally alarming is the dye and fur products industry which shows a steep decline in growth in share in RGO and NVA from a previously stable position. Vehicles industry is the only industry that manages to without a substantial decline with respect to growth in output. The organized sector contributes only 20% of the total manufacturing output but more than 60% of its output while the unorganized sector accounts for about 80% of the employment but only about 33% of the total output of the manufacturing sector. This duality in the Indian manufacturing sector and the resultant structural dynamics and its implications (in the form of imbalances) finds reference in almost all of the growth performance literature. The sectoral, regional and (especially) structural imbalances in the manufacturing sector is also reflected in the form of the high wage differential between the registered and unregistered sectors, the differential in the employment and output share (respectively) of the two sectors etc. That is, the relative income contribution of the unorganized sector vis a vis the organized sector has been on consistent decline and this affects the labour productivity differentials between the sectors (Trivedi et. al 2011). Data and Methodology This study focuses on the performance of the manufacturing sector using aggregate and disaggregated analysis of it. While keeping the aggregate picture, it examines the component industries to understand the effects of the structural dynamics of the sector on the sectoral aggregates. The period of study is 1981 82 to 2007 08 (though in some cases it is extended to include the periods 1971 72 to 1979 80 and 2008 09 to 2011 12, as a result of data availability). ASI is the main data source on aggregate and disaggregate level data. Data on IIP and GDP is from the RBI Database On Indian Economy. IIP is an index of industrial production and not just manufacturing production, though manufacturing sector is a dominant component of the IIP (contributing over 75% of the total weight) and therefore, additional variables like Value Added, Value of Gross Output and Sectoral GDP are used to complement the accuracy of the inference. Net Fixed Capital Formation series considered for analysis is at book value and not Real NFCF. The sub sectors considered for disaggregate analysis are the Food and Beverages industry, the tobacco industry, the textiles industry, dyeing and fur production industry, the coke refined petroleum and nuclear products industry, chemicals industry, the metal industry, Machinery and equipments industry, Electricals industry and Vehicles (Automobiles) industry. Trivedi et. al (2011) notes that the contribution of TFPg to output growth for the registered manufacturing sector ranges between 13 to 25% using alternative methodologies and therefore the analysis of the same is essential for any comprehensive performance assessment. But since the estimation and analysis of TFPg is vastly out of the scope and time frame of the current study, we confine ourselves to a literature based analysis on the topic. They note that the regional TFPg differences brings home the fact that states without much output growth but falling or negative rates of employment can also show high TFPg rates. Therefore, TFPg cannot be unconditionally used as an indicator of growth performance. TFP levels should be assessed alongside to get a clearer and more accurate picture. In using Dummy variables to determine the impact of the reforms on TFPg by demarcating the pre and post reform periods, they note that it is difficult to isolate the impact of reforms from that of the other factors (that impact TFPg) in the dummy variable analysis and also that the time lags in the impact cannot be taken into consideration, under the same. Conclusions We find that the Indian manufacturing sector is seen to have faced a structural break when considering the growth in Real Gross Output and Net Value Added instead of Sectoral GDP. But this break is in the late 90s which gives basis to the J Curve hypothesis of output and productivity growth. Also the phenomenon of jobless growth is found to have been a feature of the manufacturing employment in the decades post reforms, though latest data (till 2007 08) helps in finding a sign of revival in the same. The disaggregative analysis bringss forth the disturbing trend in growth in input intensity in almost all the industries of the sector, thereby questioning the sustainability of the output growth achieved through liberalization. Tobacco, Dye and Fur, metals and Electricals industries are the only sectors that follow the J Curve pattern with respect to output growth. Indian manufacturing landscape needs to be geared up through expansion, diversification, technological and competitive scaling up and skill enhancement, TFP growth, Efficiency growth and expansion of global footprint, namely, mergers and acquisitions and/or capturing new export markets (in the qualitative side) (Bhandare, 2011). There is a need to improve (all three performance indicators, namely) productivity, efficiency and competitiveness of Indias manufacturing sector. And this needs to be achieved along with improvement in employment growth, keeping in view the demographic theory (the potential demographic dividend) and countrys projected aim of inclusive growth (as declared in the 12th five year plan). With regard to the expectations and fears regarding liberalization, Nagaraj (2011) notes that industrial growth rate has not accelerated, nor has the growth rate of labour-intensive consumer goods gone up; but there has been no de-industrialaization either, as the critics feared.

Ethics Can Make the Difference Essay examples -- Morals Management Job

Ethics Can Make the Difference Ethics are â€Å"rules or standards that govern the conduct of members of a group† (Roland). In every work environment there are a predetermined set of ethical standards the company has put forth for its employees to abide by. But in the technologically fast paced world of today, the lines of what is ethical and unethical blurs easily. While some will argue that any information that is accessible should be able to be read by anyone looking for it, others will argue that just because the information exists on a computer somewhere does not mean it is open territory for all. So how do companies draw the line between what is right and wrong, between who sees what information, and what information should be posted? They create a set of ethical guidelines. Ethical guidelines are the set of ethics a company will publish for its employees informing them of moral standards the company expects them to uphold. Depending upon the type of company and the various departments in the company various ethical standards can be emphasized. In the broadest terms an ethical guideline usually includes standards about integrity, objectiveness, independence, and confidentiality. Integrity refers to being honest about your job and the work that you do (Needles, Powers 30). In the information systems environment this can mean being truthful about information obtained or presented to other employees, managers, and the public. For example, it would be unethical to publish false information about a client or even something such as false financial statements published on the Internet. In the most basic sense, an employee should provide the most factual and supportive information... ...l Accounting. 8th ed. Boston: Houghton Mifflin Company. 2000 McNamara, Carter. Complete Guide to Ethics Management: An Ethics Toolkit for Managers. 12 March 2005 . O’Brien, James. Management Information Systems. 6th ed. Boston: Irwin. 2004 Roland, Craig. Ethics and Computers: Implications for Teaching Art. 14 March 2005 . Smart Pros Editorial Staff. Ethics Experts Say Boeing Did the Right Thing. 14 March 2005 Links to Works Cited: New CIO Brings Financial Integrity to Freddie Mac Panel Says New Jersey Needs an Ethics Overhaul Complete Guide to Ethics Management: An Ethics Toolkit for Managers Ethics and Computers: Implications for Teaching Art Ethics Expert Say Boeing Did the Right Thing