No description available.

The thesis “Effects of the Post Multi-fiber Agreement on Bangladesh Ready Made Garments Sector” is a part of our M.Sc. in Business Administration Program. The thesis paper on this topic is done under the supervision of Mr. Göran Alsén, Professor of Blekinge Institute of Technology (BTH) Ronneby, Sweden. In our country garment industry has been playing most vital role in our national economy, foreign exchange earnings, employment, growth in other sector and most prominently women employment. In the first chapter we tried to focus on the historical background of Multi Fiber Agreement, the growth of Bangladesh Garments Manufacturer and Exporter Association (BGMEA).In 1983 the total members of BGMEA were 143 with narrow export volume but in 2007 we see the total members are 4637.They contribute 75.64% of our total export (BGMEA, 2007). People who are directly involved with this sector became worried because of phase out of quota system from January 2005.But if we observe the current scenario it is very much positive for our national economy. It’s true that competition grew high but at the same time we can say that our garments industry did not lose its market reputation compared to that of other rival competitors like China, India, Sri Lanka, Vietnam etc. It’s very obvious that we have great problem with the backward linkage industry. As a result we are facing huge competition among the competitors. We have to face huge competition with the other competitors as long as we could set up our backward linkage industry. Under these circumstances, our Government is taking necessary steps to remove this problem. It is now simply a matter of time. But we hope we will get rid of this problem very soon. In this thesis paper we have tried to analyze the performance of five different RMG companies and we have also tried to examine the impact of withdrawal of quota system. Based on these five RMG factories we observe that our RMG industry is performing well after Post MFA. In addition, if we look our total exports we see that approximately 74.93% of our total export is from RMG sector. It is very promising sector compared to other export items. Thus we can say that to survive in this competitive sector our RMG sector should take some more necessary steps like improving employee efficiency, ensuring more training facility, emphasizing on backward linkage industry etc. To attract foreign investors these are very important.

房地產業的活動被一般人認為是「火車頭產業」，探究這種未經學術嚴謹定義的說法，涵意概有兩層：其一是認為房地產業有極大的「向後關聯」效果，將可帶動相關總體經濟產業的發展。另一層涵意是指房地產業既然有帶動總體經濟繁榮成長的功能，也就意味著房地產業活動所構成的房地產景氣具有領先總體經濟景氣的特質，而為一般景氣昇沉的預期訊號。惟這種說法似乎與現實情況不合：現總體經濟景氣已有復甦跡象，但房地產業卻相對的毫無起色，因此本研究從「房地產業對總體經濟活動之影響分析」、「房地產景氣與總體經濟景氣在時間上領先、同時、落後關係之探討」兩部份，分別以較嚴謹的「產業關聯分析法」與「景氣綜合指標分析法」，來探討該說法的正確性及政策等含意，獲得「尚無充份的證據支持房地產業是火車頭產業」的結論。 　　有關政策涵義方面：房地產業的向後關聯效果不強，意味著政府如意圖以房地產業為振興經濟的逆循環政策應改變至回歸市場機制的調控，而不應有太多的政策介入。政府不必因總體經濟的不景氣而企圖刺激房地產景氣；亦無須強調總體景氣過熱而打壓房地產景氣。至於「房地產景氣與總體經濟景氣在時間上領先、同時、落後關係」部份，不論房地產綜合、各層面、基準循環指標之景氣與總體經濟綜合、構成房地產綜合景氣重要指標時間上關係比較中，我們有足夠的證據認為「房地產景氣落後總體經濟景氣」。在預測上的涵意是若干重要總體經濟指標可以用來預測房地產景氣未來的走勢。 / The fluctuation in the real estate market is of long-standing, and has evoked much discussion, particularly how the real estate activities and cycles are related to macroeconomics has been an important issue drawing tremendous attention in Taiwan. This research contains two parts : in the first part, we have applied the method of lnput-Output(I/O) analysis to identic the backward linkage of the real estate sector. In the second part, we try to use the method of composite indexes of business cycle for real estate cycle indicators, including individual activities, four different stages of real estate life cycle -- investment, construction, transaction, and utilization, to clarify the " timing " relationship between business cycle and real estate cycle. 　　Based on the economic analysis, the results of this research are following : 　　1. We have not found strong evidence supporting the important backward linkage of the real estate sector. It means, in the view of using real estate activities for pushing macroeconomics, the government should not intervene the activities of real estate industry to market mechanism due to the effect of real estate activities contribute little feedback to macroeconomics. 　　2. Our investigation reveals the macro-variables, such as GDP, M2, the index of stock market, CPI, composite index etc. , tend to be leading indicators of real estate activities over twelve months approximately. This means, in the view of forecasting, we can use certain macro-variables to forecast the trend of real estate cycle in the fliture.