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\textcolor{GJBlue}{\large\bfseries\abstractname\space} }{% \vskip8pt \textcolor{GJMediumGrey}{\rule{\textwidth}{2pt}} \vskip16pt } \usepackage[absolute,overlay]{textpos} \makeatother \usepackage{lineno} \linenumbers \begin{document} \author[1]{MOHIM SHEIHAKI TASH} \author[2]{PROF.DR IDRIS BIN JAJRI} \author[3]{DR. MOHAMMAD NABI SHAHIKI TASH} \affil[1]{ University of Malaya} \renewcommand\Authands{ and } \date{\small \em Received: 7 December 2011 Accepted: 5 January 2012 Published: 15 January 2012} \maketitle \begin{abstract} This paper investigates intra-trade and welfare effects for Iran and D-8 countries preferential trade agreement by reviewing the possibility of comprehensive trade liberalization through expanding coverage of preferential tariff reduction. A quantitative analysis is applied for economic effects of a free trade arrangement between Iran and other contracting countries. An important objective of this research is to appraise evidence of significant gains in intra-trade and welfare amongst Iran and D-8 countries when tariff barriers and enhancement measures are dismantled. Therefore, this study uses indices in international trade as an input into the process of evidence-based policymaking in the area of trade policy for D-8 countries. \end{abstract} \keywords{D-8 countries, Trade Liberalization, Preferential Trade Arrangement, Economic Integration.} \begin{textblock*}{18cm}(1cm,1cm) % {block width} (coords) \textcolor{GJBlue}{\LARGE Global Journals \LaTeX\ JournalKaleidoscope\texttrademark} \end{textblock*} \begin{textblock*}{18cm}(1.4cm,1.5cm) % {block width} (coords) \textcolor{GJBlue}{\footnotesize \\ Artificial Intelligence formulated this projection for compatibility purposes from the original article published at Global Journals. However, this technology is currently in beta. \emph{Therefore, kindly ignore odd layouts, missed formulae, text, tables, or figures.}} \end{textblock*} \let\tabcellsep& \section[{INTRODUCTION}]{INTRODUCTION}\par he Developing 8 (D-8) countries consists' of Bangladesh, Egypt, Indonesia, Iran, Malaysia, Nigeria, Pakistan and Turkey. D-8 countries are an alliance of developing Muslim countries who are members of the Organization of Islamic Conference (OIC), which is established as an economic association. This group of countries was set up on June 15, 1997 after a declaration in Istanbul Turkey. The declaration included a plan to progressively diminish tariffs on particular goods between member-states, with supervision of the process by a supervisory committee. The purpose of this association of countries is a reduction of barriers to enable free trade between member countries, and to encourage inter-state cooperation. Despite the importance of D-8 countries, empirical literature analyzing D-8 member's countries trade with each other is limited. Thus, it is of interest to investigate trade among member countries exhaustively by reviewing trade relations and calculating trade indices such as Trade Intensity Index, Trade Complementarily Index, Trade Bias Index, Trade Creation and Diversion Index. Such indices can be used to give insights into the effects of regional trading arrangements among member countries. It can also explain as well as evaluate trade relationships and trade patterns of D-8 countries. Such indices can be used as D-8 countries monitors trade flows and trends among member countries.\par In an economic integration study on the effects of trade flows, the methodology employed is a descriptive scheme. This method depends on a static frame work and the results are dependent on the level of aggregation. A study done by \hyperref[b13]{Drysdale and Garnaut (1982)} initiated applying indices to analyze bilateral trade flows. This was followed by many other research studies whereby indices were applied to study bilateral trade patterns. For instance, \hyperref[b16]{Hill (1985)} studies the pattern of international trade between Australia and the Philippines for two decades from the years 1962-1981 using three indices to analyze and clarify patterns, composition and trends. Similarly, \hyperref[b25]{Zhang (1997)} examine the potency of trade relations between China and Japan during the years from 1965-1993 by employing three indices. \hyperref[b7]{Bano (2002)} used Intensity indices to measure modification among New Zealand and its main trading partners' trade relationship for the years 1981-1999. In relation to other methods, \hyperref[b20]{Ng and Yeates (2003)} applied Intensity index to analyze and measure East Asian intra-regional trade that explained Distance Adjusted Trade Intensity Index. \hyperref[b11]{Creamer (2003)} measured open regionalism in Andean communities' effect on inter-region and intra-region trade for the years 1990-2000 by using a Trade Intensity Index. Furthermore, Trade Intensity Index is used by Bhattacharya and Bhattacharyay (2007) to evaluate the trade potential between China and India. These studies used a variety of indicators to determine regional trade relationship between countries. \section[{II.}]{II.} \section[{METHODOLOGY}]{METHODOLOGY}\par The composition of trade determines the degree of bilateral matching of commodities of an exporter with the demands of an importer. The gravity model does not explicitly show commodity matching of an importer and exporter. As an alternative, this paper applies Trade Intensity Index to explain commodity compositions' effects on bilateral trade. According to {\ref Drysdale (1967)}, by employing a decomposition method, this paper intends to demonstrate the quantity of effects on trade volume is caused by complementarity and country bias. \section[{a) Export Intensity Index}]{a) Export Intensity Index}\par Trade Intensity Index explains whether a county T be used as a uniform export share. The statistics are comparable across countries, and during the period of consideration are not influenced by any 'size' bias.???? ???? = ? ?? ???? ?? ?? ? ? ?? ?? ?? ?? ??? ?? ? ?\textbf{(1)}\par Where X ij : country i's export to country j X i : country i's total export M j : country j's total import M w : world's import M i : country i's import Trade Intensity Index lies on the range 0 and +?. Values more than 1 indicate an 'intense' in trade flows. b) Import Intensity Index Import Intensity Index explains whether a county imports more from a particular region compared to the world on average. Similar to Export Intensity Index, Import Intensity Index is interpreted by using the same approach by approximating standardized import share. The statistics are comparable across countries, and for the period of consideration are not influenced by any 'size' bias.???? ???? = ? ?? ???? ?? ?? ? ? ?? ?? ?? ?? ??? ?? ? ?\textbf{(2)}\par Where M ij : country i's import from country j M i : country i's total import M i : country i's total import X j : country j's total export M i : world's import X w : world export X i : country i's total export c) Trade Complimentarity Index\par Trade Complimentarity Index evaluates the level of export patterns of one country matches the import pattern of another country. In other words, the Complementarity Index measures the degree of overlap between the export profile of the source and the import profile of the destination. Trade Complementarity Index is considered as overlap indices. High level of this index is implicit in a successful trade arrangement signifying favorable prospects. The index trend during the consideration period describes whether trade profiles are becoming more or less compatible. The Complimentarity Index is converted to percentage. This index gets a value between "0" and "100". A "100" value explains a "perfect overlap" and "0" values indicating "no overlap" in trade flows. i. \section[{Export Complimentarity Index}]{Export Complimentarity Index}\par This index evaluates the level of export pattern of one region (country) matches the import pattern of another region (country).???? ???? = ? ? ?? ?? ?? ?? ?? . ?? ?? ??? ?? ?? ?? ?? ??? ?? ?? . ?? ?? ?? ?? ?? ? ??\textbf{(3)}\par XC ij : Export complimentarity index country i to j X i k : Exports of commodity k by i country X i : total export of country i M w : the total world's import flow M i : country i's total import M w k : Imports of commodity k by world M j k : Imports of commodity k by j country M i k : Imports of commodity k by i countryM j : country i's total import\par ii. \section[{Import Complimentarity Index}]{Import Complimentarity Index}\par This index evaluates the level of import patterns of one region matches the export pattern of another region.???? ???? = ? ? ?? ?? ?? ?? ?? . ?? ?? ??? ?? ?? ?? ?? ??? ?? ?? . ?? ?? ?? ?? ?? ? ??\textbf{(4)}\par MC ij : Import complimentarity index country i from j X i k : Exports of commodity k by j country X i : total export of country i X w : total world's export flow M i : country i's total import X w k : Exports of commodity k by world M i k Imports of commodity k by i country X j k : Total exports of commodity k by j countryX j : country i's total export d) Trade Bias Index\par Trade Bias Index indicates the degree of resistance to i's trade with j relative to the average degree of resistance in i's other bilateral trading relationship.?? ???? = ?? ???? ? ?? ?? ?? ? ?? ?? ?? ?? ?? ?? ??? ?? ?? ?\textbf{(5)}\par Where X ij : Country i's export to j X i k : Exports of commodity k by i country M j k : Imports of commodity k by j country M w k : Imports of commodity k by world M i k : Imports of commodity k by i country When the Trade Bias Index is less than one, trade policies will provide incentives for import substitution. On the other hand, if B is greater than one, then trade policies will promote exports. For a special case of where the Trade Bias Index is equal to one, trade policies is said to be neutral and the economy operates at close to free trade. Jagdish \hyperref[b8]{Bhagwati (1993)} If C IR >t IR : Trade diversion will be positive (TD>0). In this situation, trade creation and intra regional trade will increase.\par But if C IR 0). Therefore, it is concluded that trade creation occurred. With a reduction of common external tariffs trade diversion that is negative, intra regional trade declines but external regional trade increased. With a 10 percent reduction of common external tariffs, it is observed in the period of study, trade diversion is negative and intra regional trade declined. But in the other three conditions of 20 percent, 30 percent and 40 percent reduction in common external tariffs, trade creation occurred and intra regional trade increased. \section[{a) State Of Iran's Trade With Other D-8 Member Countries}]{a) State Of Iran's Trade With Other D-8 Member Countries}\par The findings show that the index in greater than one, for Iran' export to Turkey and Pakistan therefore, this could be regarded as highly intense. It is correct to say that intensity has improved from the time the agreement was signed in 1997. Iran and Turkey's bilateral trade surged from year 2003 onwards but Export Intensity Index for Iran and Pakistan declined from year 2000 whereas the index increased for Pakistan's export to Iran. This means that Iran's tendency to import from Pakistan has increased.\par The findings also show Iran's exports to Turkey and Pakistan is more than Iran's imports from the world. In other words, trade share between Iran and Turkey and Iran and Pakistan is more than their shares in world's trade. In contrast, the index was high even before the time the agreement was signed in 1997. This could be attributed to geographic proximity and relative isolation from other markets.\par The index is shown to be lower than one, for Iran' export to other D-8 countries (Indonesia, Malaysia, Egypt, Nigeria and Bangladesh) indicating that the share of Iran's trade with these countries is less than a proportion of Iran's share of world trade. This implies Iran's export to other D-8 countries is low. Import Intensity Index indicates the share of Iran's imports from Turkey, Pakistan and Bangladesh is more than a percentage of their share of world trade. The index trends shows from year 2003, share of Iran's import from Turkey and Turkey's import from Iran is becoming higher. This further implies that the tendency of bi-lateral trade between the two countries has increased.\par From year 2000, Import Intensity Index of Iran from Pakistan has risen, while Index decreased for import of Pakistan from Iran. This result shows that only Iran's tendency to import from Pakistan has increased.\par Since the index in greater than one, for Iran' import from Bangladesh, this relationship could be considered as highly intense. But since year 2000, the trend is descending; reflecting a tendency of imports from Bangladesh to be declining. It should be noted Export Intensity Index for the two countries that is Iran and Bangladesh, is less than one, indicating that Iran's export to Bangladesh is not significant.\par According to table ? , Import Intensity Index for Iran and other D-8 countries (Egypt, Indonesia, Malaysia and Nigeria) is less than one, emphasizing the share of Iran's import from these countries is less than a proportion of their share of world trade.\par Comparing Indices Export Intensity Index and Export Complimentarity Index between Iran and Turkey shows a considerable difference that is; Export Complimentarity Index is less than Export Intensity Index. This means despite Iran and Turkey's export is more than a proportion of share of world trade, but the small difference of Trade Complimentarity Index explains export patterns of Iran do not match the import patterns of Turkey.\par Furthermore, investigations in Export Intensity Index and Export Complimentarity Index trends for the years 1998-2006, shows Export Intensity Index trend is ascending but the Export Complimentarity Index trend is descending. In other words, in spite of the increasing tendencies of trade between Iran and Turkey, the export ebruary F An Analysis of Bilateral Trade between Iran and D-8 Countries pattern of Iran does not match the import patterns of Turkey.\par By observing indices that is Export Intensity and Export Complimentarity Index between Iran and Pakistan shows a difference; but the difference of these two indices is smaller than for indices for Iran and Turkey. Therefore, Trade Complimentarity Index for Iran and Pakistan is higher than Iran and Turkey's. This implies export pattern of Iran matches the import pattern of Pakistan, in comparison to Turkey's.\par The Export Complimentarity Index for Iran and Indonesia is bigger than export intensity in the years 2000 and 2006, indicating although the share of Iran and Indonesia's export is less than a proportion of their share of world trade, but the export pattern of Iran indicates a match to the import pattern of Indonesia. The Import Complimentarity Index between these countries also accepts this result. The results also indicate that the Trade Bias Index for Iran and Turkey for the 3 data points that was tested in this study is less than Trade Bias Index for Turkey and Iran. This means that Iran's access to Turkey's market is limited and Turkey gets an advantage of the bilateral trade partnerships and preferential facilities. Although, findings of this study show Turkey has more freedom to enter Iran's market. Trade Bias Index trend shows a downward decline before year 2000, but after this period the trend shows a pattern that is surging upwards. This would explain Iran's access to Turkey's market has become more restricted. The results show a similar issue occurring between Iran and Pakistan. Trade Bias Index for Iran and Pakistan is less than the Trade Bias Index for Pakistan and Iran. In other words, despite the liberal access by Pakistan to Iran's market, this is not reciprocal as Iran's access to Pakistan's market is quite limited.\par IV. \section[{CONCLUSION}]{CONCLUSION}\par In summary, the findings indicate that while D-8 countries intra-trade is expected to increase substantially, but not all countries will experience a welfare gain under a free trade arrangement. Likewise, impact on economic sectors differs substantially across countries.\par The findings of this paper may serve as recommendations for policy makers to improve bilateral trade flows amongst D-8 countries, and signify the importance of trading partners. The purpose of this paper is to use indices in international trade as an input into the process of evidence-based policymaking in the area of trade policy for D-8 countries.\begin{figure}[htbp] \noindent\textbf{1234}\includegraphics[]{image-2.png} \caption{\label{fig_0}Figure 1 :FFigure 2 :Figure 3 :Figure 4 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{} \par \begin{longtable}{P{0.771219512195122\textwidth}P{0.0725609756097561\textwidth}P{0.0062195121951219515\textwidth}} \tabcellsep (?? ???? ??? ???? ) 1+?? ????\tabcellsep (7)\\ \tabcellsep R :\\ e) Trade Creation Index\tabcellsep \\ \multicolumn{2}{l}{Economist's who adhere to Jacob Viner's (1950)}\\ \multicolumn{2}{l}{classic study, have argued that static and dynamic}\\ \multicolumn{2}{l}{distortions are produced through preferential trade}\\ \multicolumn{2}{l}{agreements (PTA's). Discussions on trade creation}\\ \multicolumn{2}{l}{taking place when member countries substitute}\\ \multicolumn{2}{l}{domestically less efficient producers with efficient, low-}\\ cost imports from member countries.\tabcellsep \\ ???? ?? 1+?? ??\tabcellsep (6)\end{longtable} \par \caption{\label{tab_0}}\end{figure} \begin{figure}[htbp] \noindent\textbf{1} \par \begin{longtable}{P{0.10822281167108753\textwidth}P{0.11724137931034483\textwidth}P{0.07440318302387268\textwidth}P{0.1059681697612732\textwidth}P{0.11724137931034483\textwidth}P{0.10145888594164455\textwidth}P{0.1149867374005305\textwidth}P{0.11047745358090184\textwidth}} Year\tabcellsep \multicolumn{2}{l}{Bangladesh Egypt}\tabcellsep Indonesia\tabcellsep Malaysia\tabcellsep Nigeria\tabcellsep Pakistan\tabcellsep Turkey\\ 1998\tabcellsep 0\tabcellsep 0\tabcellsep 0\tabcellsep 0.65\tabcellsep 0\tabcellsep 2.99\tabcellsep 4.58\\ 1999\tabcellsep 0\tabcellsep 0\tabcellsep 0\tabcellsep 0.18\tabcellsep 0\tabcellsep 3.04\tabcellsep 4.93\\ 2000\tabcellsep 0.48\tabcellsep 0\tabcellsep 0.49\tabcellsep 0.27\tabcellsep 0.01\tabcellsep 6.38\tabcellsep 3.19\\ 2001\tabcellsep 0.3\tabcellsep 0.2\tabcellsep 1.03\tabcellsep 0.49\tabcellsep 0.02\tabcellsep 5.18\tabcellsep 4.91\\ 2002\tabcellsep 0.27\tabcellsep 0.19\tabcellsep 0.46\tabcellsep 0.35\tabcellsep 0.05\tabcellsep 3.88\tabcellsep 3.96\\ 2003\tabcellsep 0.4\tabcellsep 0.25\tabcellsep 0.51\tabcellsep 0.25\tabcellsep 0.01\tabcellsep 4.79\tabcellsep 5.87\\ 2004\tabcellsep 0.27\tabcellsep 0.27\tabcellsep 0.27\tabcellsep 0.47\tabcellsep 0.01\tabcellsep 2.93\tabcellsep 3.93\\ 2005\tabcellsep 0.27\tabcellsep 0.2\tabcellsep 0.19\tabcellsep 0.49\tabcellsep 0.01\tabcellsep 2.33\tabcellsep 5.7\\ 2006\tabcellsep 0.47\tabcellsep 0.27\tabcellsep 0.21\tabcellsep 0.78\tabcellsep 0.01\tabcellsep 2.7\tabcellsep 7.44\\ 2007\tabcellsep 0.33\tabcellsep 0.23\tabcellsep 0.14\tabcellsep 0.47\tabcellsep 0.01\tabcellsep 2.86\tabcellsep 6.38\\ 2008\tabcellsep 0.36\tabcellsep 0.23\tabcellsep 0.18\tabcellsep 0.58\tabcellsep 0.01\tabcellsep 2.63\tabcellsep 6.51\end{longtable} \par \caption{\label{tab_1}Table 1 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{2} \par \begin{longtable}{P{0.33682242990654204\textwidth}P{0.042102803738317755\textwidth}P{0.02939252336448598\textwidth}P{0.036542056074766356\textwidth}P{0.284392523364486\textwidth}P{0.0452803738317757\textwidth}P{0.03574766355140187\textwidth}P{0.0397196261682243\textwidth}} Year\tabcellsep \multicolumn{2}{l}{Bangladesh Egypt}\tabcellsep Indonesia\tabcellsep \multicolumn{2}{l}{Malaysia Nigeria}\tabcellsep Pakistan\tabcellsep Turkey\\ 1998\tabcellsep 0\tabcellsep 0\tabcellsep 0\tabcellsep 0.5\tabcellsep 0\tabcellsep 0\tabcellsep 3.83\\ 1999\tabcellsep 0\tabcellsep 0\tabcellsep 0\tabcellsep 0.5\tabcellsep 0\tabcellsep 0\tabcellsep 3.63\\ 2000\tabcellsep 2.2\tabcellsep 1.24\tabcellsep 1.01\tabcellsep 0.53\tabcellsep 0\tabcellsep 1.91\tabcellsep 3.55\\ 2001\tabcellsep 2.35\tabcellsep 0.52\tabcellsep 0.49\tabcellsep 0.63\tabcellsep 0\tabcellsep 2.15\tabcellsep 2.88\\ 2002\tabcellsep 1.95\tabcellsep 0.71\tabcellsep 0.49\tabcellsep 0.55\tabcellsep 0\tabcellsep 1.92\tabcellsep 2.64\\ 2003\tabcellsep 1.35\tabcellsep 0.2\tabcellsep 0.49\tabcellsep 0.65\tabcellsep 0\tabcellsep 2.07\tabcellsep 2.58\\ 2004\tabcellsep 1.18\tabcellsep 0.22\tabcellsep 0.5\tabcellsep 0.62\tabcellsep 0\tabcellsep 1.71\tabcellsep 2.92\\ 2005\tabcellsep 1.35\tabcellsep 0.26\tabcellsep 0.58\tabcellsep 0.58\tabcellsep 0\tabcellsep 2.04\tabcellsep 3.03\\ 2006\tabcellsep 0.87\tabcellsep 0.19\tabcellsep 0.44\tabcellsep 0.55\tabcellsep 0\tabcellsep 2.4\tabcellsep 2.53\\ 2007\tabcellsep 1.29\tabcellsep 0.54\tabcellsep 0.57\tabcellsep 0.73\tabcellsep 0\tabcellsep 2.77\tabcellsep 3.42\\ 2008\tabcellsep 1.19\tabcellsep 0.33\tabcellsep 0.53\tabcellsep 0.62\tabcellsep 0\tabcellsep 2.52\tabcellsep 3.16\\ \multicolumn{4}{l}{We conducted our empirical investigation on}\tabcellsep \tabcellsep \multicolumn{3}{l}{It should be noted the results are gathered by}\\ \multicolumn{4}{l}{Export and Import Complimentarity Index (equation 3}\tabcellsep \multicolumn{4}{l}{disaggregated individual trading products to 5 main}\\ \multicolumn{4}{l}{and 4) using annual bilateral manufacturers exports data}\tabcellsep \multicolumn{4}{l}{groups based on Standard International Trade}\\ \multicolumn{4}{l}{from the U.N. Commodity Trade Statistics Database}\tabcellsep \multicolumn{4}{l}{Classification (SITC). Food products (codes number 4,}\\ \multicolumn{4}{l}{(COMTRADE) for Iran and the other developing eight}\tabcellsep \multicolumn{4}{l}{22, 10), agriculture (code 2-codes number 27,22and}\\ \multicolumn{4}{l}{countries at three data points, i.e. year 2000, year 2006}\tabcellsep \multicolumn{4}{l}{28), Ores and minerals (codes 28, 27, 68), Mineral fuel}\\ \multicolumn{4}{l}{and year 2008. The estimation results are shown in}\tabcellsep \multicolumn{4}{l}{(code 3) and manufactured goods (codes 5 to 8).}\\ Table 3 and Table 4.\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \end{longtable} \par \caption{\label{tab_2}Table 2 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{3} \par \begin{longtable}{P{0.10567567567567568\textwidth}P{0.11486486486486487\textwidth}P{0.0918918918918919\textwidth}P{0.11027027027027027\textwidth}P{0.018378378378378378\textwidth}P{0.10567567567567568\textwidth}P{0.10108108108108109\textwidth}P{0.10567567567567568\textwidth}P{0.09648648648648649\textwidth}} Country\tabcellsep Bangladesh\tabcellsep Egypt\tabcellsep Indonesia\tabcellsep Iran\tabcellsep Malaysia\tabcellsep Nigeria\tabcellsep Pakistan\tabcellsep Turkey\\ Iran\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\ 2000\tabcellsep 0.719\tabcellsep 0.891\tabcellsep 1.507\tabcellsep \tabcellsep 0.558\tabcellsep 0.219\tabcellsep 3.212\tabcellsep 1.391\\ 2006\tabcellsep 0.916\tabcellsep 1.169\tabcellsep 1.594\tabcellsep \tabcellsep 0.698\tabcellsep 0.708\tabcellsep 1.674\tabcellsep 0.407\\ 2008\tabcellsep 0.846\tabcellsep 1.207\tabcellsep 1.576\tabcellsep \tabcellsep 0.653\tabcellsep 0.474\tabcellsep 2.330\tabcellsep 1.152\end{longtable} \par \caption{\label{tab_3}Table 3 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{4} \par \begin{longtable}{P{0.10683060109289617\textwidth}P{0.11612021857923498\textwidth}P{0.09289617486338797\textwidth}P{0.10683060109289617\textwidth}P{0.018579234972677595\textwidth}P{0.10218579234972677\textwidth}P{0.10218579234972677\textwidth}P{0.10683060109289617\textwidth}P{0.09754098360655737\textwidth}} Country\tabcellsep Bangladesh\tabcellsep Egypt\tabcellsep Indonesia\tabcellsep Iran\tabcellsep Malaysia\tabcellsep Nigeria\tabcellsep Pakistan\tabcellsep Turkey\\ Iran\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\ 2000\tabcellsep 0.964\tabcellsep 1.208\tabcellsep 0.79\tabcellsep \tabcellsep 0.91\tabcellsep 0.797\tabcellsep 0.908\tabcellsep 0.834\\ 2006\tabcellsep 0.207\tabcellsep 0.198\tabcellsep 0.183\tabcellsep \tabcellsep 0.204\tabcellsep 0.156\tabcellsep 0.224\tabcellsep 0.117\\ 2008\tabcellsep 0.462\tabcellsep 0.521\tabcellsep 0.165\tabcellsep \tabcellsep 0.621\tabcellsep 0.403\tabcellsep 0.573\tabcellsep 0.472\end{longtable} \par \caption{\label{tab_4}Table 4 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{5} \par \begin{longtable}{P{0.120679012345679\textwidth}P{0.11543209876543209\textwidth}P{0.07345679012345678\textwidth}P{0.11018518518518518\textwidth}P{0.02098765432098765\textwidth}P{0.10493827160493827\textwidth}P{0.09444444444444444\textwidth}P{0.10493827160493827\textwidth}P{0.10493827160493827\textwidth}} Country\tabcellsep Bangladesh\tabcellsep Egypt\tabcellsep Indonesia\tabcellsep Iran\tabcellsep Malaysia\tabcellsep Nigeria\tabcellsep Pakistan\tabcellsep Turkey\\ Iran\tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \tabcellsep \\ 2000\tabcellsep 0.66\tabcellsep 0\tabcellsep 0.33\tabcellsep \tabcellsep 0.49\tabcellsep 0.03\tabcellsep 1.99\tabcellsep 2.29\\ 2006\tabcellsep 0.52\tabcellsep 0.23\tabcellsep 0.13\tabcellsep \tabcellsep 1.12\tabcellsep 0.1\tabcellsep 1.61\tabcellsep 18.28\\ 2008\tabcellsep 0.58\tabcellsep 0.16\tabcellsep 0.14\tabcellsep \tabcellsep 0.87\tabcellsep 0.04\tabcellsep 1.78\tabcellsep 12.63\end{longtable} \par \caption{\label{tab_5}Table 5 :}\end{figure} \begin{figure}[htbp] \noindent\textbf{6} \par \begin{longtable}{P{0.136996336996337\textwidth}P{0.17435897435897435\textwidth}P{0.17747252747252748\textwidth}P{0.17747252747252748\textwidth}P{0.1836996336996337\textwidth}} Year\tabcellsep 10\%\tabcellsep 20\%\tabcellsep 30\%\tabcellsep 40\%\\ 1998\tabcellsep 11.3\tabcellsep 22.6\tabcellsep 33.9\tabcellsep 45.2\\ 1999\tabcellsep 19.87\tabcellsep 39.73\tabcellsep 59.6\tabcellsep 79.46\\ 2000\tabcellsep 22.53\tabcellsep 45.06\tabcellsep 67.6\tabcellsep 90.13\\ 2001\tabcellsep 26.21\tabcellsep 52.43\tabcellsep 78.64\tabcellsep 104.85\\ 2002\tabcellsep 37.35\tabcellsep 74.7\tabcellsep 112.05\tabcellsep 149.4\\ 2003\tabcellsep 65.63\tabcellsep 131.26\tabcellsep 196.89\tabcellsep 262.53\\ 2004\tabcellsep 89.14\tabcellsep 178.29\tabcellsep 267.43\tabcellsep 356.58\\ 2005\tabcellsep 108.79\tabcellsep 217.58\tabcellsep 326.36\tabcellsep 435.15\\ 2006\tabcellsep 148.47\tabcellsep 296.65\tabcellsep 445.15\tabcellsep 593.51\\ 2007\tabcellsep 192.71\tabcellsep 384.05\tabcellsep 577.09\tabcellsep 769.43\end{longtable} \par \caption{\label{tab_6}Table 6 :}\end{figure} \footnote{© 2012 Global Journals Inc. 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