The area of research for this thesis focuses on empirical study determinants of trade volume of Asian developing economies; which constitute the success of global trade. The relationship among determinants of trade studied in the context of developing economies which includes: Pakistan, India, China, Bangladesh and Sri Lanka. Factors those affects on trade includes: Tariff, Import duty, Inflation, Foreign Direct Investment (F.D.I), Exchange Rate, Transportation Cost and Gross domestic Product (G.D.P) affect on trade volume, based on gravity equation framework in which foreign trade depend in between countries. To accomplish this purpose by using standard gravity model, study comprises multivariate regression on trade of Asian economies. Study found that trade depend on distance in between countries, wealth, tariff and non tariff barriers (N.T.Bs) like exchange and capital control. Export volume of an economy measures trade volume of a particular country to indicate economic growth of a particular country (Tamirisa, 1999). An Economy that have positive balance of trade, improve economic growth of a particular country due to effective economic and financial performance. Besides this basic affects exchange and capital controls influence trade through other channels, for example, transaction cost, exchange rate, foreign exchange risk and trade financing. Capital control in particular country affect on trade in goods by reducing inter temporal trade and portfolio diversification, which may substitute or complement intra temporal trade (Tamirisa, 1999). Therefore, this thesis aim’s to study determinants of trade volume based on developing economies. A restricted trade policies imposed by a government is harm for a trade. Study found that world trade organization (W.T.O) rules & regulations foster trade volume based on strategic planning of global trade at this competitive era. Despite the net economic and social benefits; most governments reduce subsidies and open economic trade. It has been realized in this study manufacturing tariffs remained high in developing countries. However; subsidies and trade policies affects on agricultural, textile and service industries of both rich and poor countries which continued hamper efficient resource allocation, economic growth and poverty alleviation (Anderson, 2004). Fundamentally, capital controls affects on trade by decreasing inter temporal trade and portfolio diversification. The impact of trade in goods depends, if trade in goods and trade in factors are substitute (for example, as found in the basic Heckscher-Ohlin model) the volume of trade in goods likely to fall. If trade in goods and trade in factors are complement (as, for example, in some models with increasing returns to scale), the volume of trade in goods increases (Tamirisa, 1999). The empirical evidence indicates that foreign direct investment tend to increase host countries’ export and import due to liquidity in a financial market. Foreign direct investment and exports are alternative strategies in this case. Since multinational companies (M.N.Cs) avoid to pay tariff. They initiate subsidiary companies at the host country to cross subsidize in other countries based on strategic management. Capital controls often limit business opportunities for hedging foreign exchange risk and trade financing, thus inhibit trade (Tamirisa, 1999). The gravity equation is one of the most empirically successful studies. It relates trade flow to GDP, distance and other factors that affects on the volume of trade (Anderson and Wincoop, 2003). For this purpose, the overall effects of trade barriers on Asian developing economies empirically studied, analyzed, tested and resulted.
This study is timely significant for theoretical, methodological and practical reasons. With regards to theoretical significance; this study contributes to the literature based on their specification. Determinants of trade volume of Asian developing economies comprises, Pakistan, India, China, Bangladesh and Sri Lanka to identify their trade issues with respect to other regions based on gravity equation framework. As mentioned in empirical literature, determinants of trade volume contribute their significance at this competitive era, where lot of resistance exists at global market. While competition indicate threat for any type of business either manufacturing or service industry. On other hand trade barriers like Tariff, Import duty, Capital Control through Foreign direct investment (F.D.I), Transportation cost and Inflation raise more critical issues to survive in this competitive era. This study also practically signifies from management prospective for those entrepreneurs intending to cross subsidize their business at global market to retain their leading market share. Results of this study provide guidelines for entrepreneurs to identify their, Economic and Socio-Cultural issues that lead to trade barriers for their investment. This study support them based on empirical understanding about trade barriers of developing economies and how it affects on trade. Finally, this study will benefit on ‘strategic decision making’ to implement trade policies in global market. This chapter comprises the foundation of this study. It introduces research objective and focus on trade and its determinants based on theoretical & practical justification of this research. Then major terms used in this study are discussed comprehensively.
This chapter based on comprehensive literature review, those are useful for this study. The objective is to evaluate determinants of trade volume in the context of literature review. To this end, this chapter divided into three sections. First section deal broadly with trade and it’s determinants for which this thesis first explains determinants of trade and then model based empirical finding those are relevant to this research. The second section will investigate theoretical perspective and determinants of trade. The third section interlinks determinants of trade with empirical findings based on Asian developing economies. In short, this thesis first discuss trade theories as mentioned in the literature and then pertinent model present; which will not only explain trade theories but also highlight the link determinants of trade and developing economies.
It is a well accepted idea that free trade benefits all countries around the world; it is also a well known fact that hardly any country has always been practice free trade policies. Traditionally trade theories contend that government intervenes on foreign trade because of political pressure from interest groups. Since import can pose a threat to domestic industries, these industries lobby intensely for trade protection (Krueger, 1974, Pincus 1975, Mayer 1984). Other studies suggest that governments are tempted to use trade bargaining to gain larger share from global trade (Morishima, 1989); [Cheng, Liu, and Yang, 1999]. International trade is more or less substitute of foreign investment. On the contrary factor proportion hypothesis [Helpman, 1984; Markusen, 1984; Helpman and Krugman, 1985; Ethier and Horn, 1990] seems to predict that international trade and investments are complement as firms take advantage of factor price differences through cross border vertical integration. According to Aizenman, Joshua and Ilan Noy (2005), it is common to expect bidirectional linkage between FDI and trade. However, it is difficult to indicate whether inflows and outflows of FDI affect directly on trade in different types of goods and services. Study found there is strong feedback relationship between FDI and trade; especially in manufacturing industries. There is some evidence indicate trade enhancement lead to extensive competition in domestic and global market at this era (S. and W. Chaisrisawatsuk, 2007). Economic integration promises to raise trade volume through trade creation by engaging trade agreements. At micro level, interdependence between international trade and investment is magnified through intra firm trade (trade among foreign affiliates), outsourcing of raw material, intermediate goods, output and firm’s vertical integration behavior (S. and W. Chaisrisawatsuk, 2007). Since trade liberalization implies a liberated (less costly) movement of goods and services while investment liberalization implies better environment for movement of resources. Increasing international trade based on sustainable comparative advantage is a key condition for countries to realize gain from global trade. If trade and investment are complementary, FDI inflow supposed to enhance gain from trade. In addition, FDI inflow to the host country expected to improve efficiency and productivity of factors production, therefore it enhances the country’s competitiveness (S. and W. Chaisrisawatsuk, 2007). This study applies gravity model approach to investigate the relationship between international trade and foreign investment. Generally, countries with similar resources produce similar products. However, existence of two way trade (Bilateral Trade) in similar products and two way investments among developed as well as developing economies indicates that there is a room for trade and investment. Thus, simultaneous equation estimate is more appropriate approach used in order to capture feedback effects between trade and investment in order to examine relationships between trade and investment (S. and W. Chaisrisawatsuk, 2007).
Study found that tariff, inflation, transportation costs are critical factors affect on trade of developing economies. The empirical evidence indicates foreign direct investment tends to increase host countries’ exports, although the impact on imports is relatively weak. In the presence of tariff barriers, however restrictions on foreign direct investment distort trade. According to the static general equilibrium model, trade is determined by the wealth and size of countries. While distance has a negative effect on trade, in a part because of trade costs (e.g., transportation and communication) are likely increase with respect to distance. Tariff barrier in the importing countries also tend to have a negative, albeit insignificant effect on exports into these countries. While Per capita, G.D.P and Population, on other hand, have significant positive effects on exports (Tamirisa, 1999). Factors those affect on trade justify in detail below.
A tariff is a tax on import which is collected by the federal government to build infrastructure of a particular country. Tariff usually aims first to limit import and second to raise government revenue, that’s reason multinational corporations (M.N.Cs) avoid to pay tariff. And initiate subsidiary companies at host country through cross subsidization to retain their leading market share at global market. Empirical studies found tariff lead to trade distortion due to it have a negative effect on trade which raises the cost of trade. Due to tariff rates significantly reduce export of developing and transition economies (Tamirisa, 1999). Model predicts the presence of trade barriers, such as tariffs and non-tariff barriers (N.T.Bs) diminish trade volume. The empirical study found tariff rate interact with the estimated share of free trade. Since trade distortions caused by tariffs; which indicate low growth rate in a country that needs to import more under free trade regime. Government intervenes in foreign transactions by imposing tariff on import of foreign goods. Therefore, tariff has two effects on economy, namely distortion of resource allocation and the transfer of revenue. Thus, distortion effects of tariffs on the growth rate evidently hinge free trade (Lee, 1993). Empirical study found large variation in trade, caused by tariffs and transportation cost. Tariff liberalization shift trade from rich to poor and domestic to global countries, this estimates imply that elimination of tariff create more trade for poor countries. It is also implies that tariff elimination would divert trade away from continental to preferential trading areas. It has been studied in empirical literature tariffs, distance and production costs are important factors affect on trade; study found tariffs reduce trade significantly. Where low tariff rate is exists among organization of economic cooperation and development (O.E.C.D) countries. While high tariff is exist among Non-O.E.C.D countries. Therefore elimination of tariff rate would raise global trade significantly (Lai and Zhu, 2004).
It has been realized in comprehensive literature review inflation tends to hamper the volume of trade and slow down economic growth. The initial effects arise from decreased in domestic demand. Thus, result rises in price fluctuation relative to those competing or importing countries (Lovasy, 1962). The initial affects of inflation is an increase the price of goods and services in domestic market, which makes selling on that market more profitable than export. Since market price influence a volume of trade. However inflationary affects tend to encourage such change with a view to raise the price of commodity and maintain it high level. The creation of substitute adversely affects on the volume of trade. If inflation prolong over a period of years, trade will adversely affect through structural changes in an economy (Lovasy, 1962). The affects of inflation on exports may be counteracted by government actions in various forms like: adjustment of exchange rates, retention quota, subsidies on exports (either straight or through multiple rate practices). In other hand devaluation or gradual depreciation of exchange rate will raise the prices of trade (Lovasy, 1962). Since many other factors influence export, inflation can be a visible affects if it lead the price out of line with price in competing countries or importing areas (Lovasy, 1962). On the other hand, extensive empirical research such as Levine and Renelt (1992), Levine and Zervos (1993), Stanners (1993), Bruno and Easterly (1998) and Easterly (2003) indicate negative relationship between inflation and economic growth (Chowdhury and Siregar, 2004).
Transportation cost is one of the significant factor affects on trade. The importance of geography has been recognized by Moneta (1959) as well as by Hummels (1998). It was found that distance is a critical factor in-between country, whether they share common border or they are landlocked. The infrastructure depends on transport and communications network. Study found that infrastructure is quantitatively important factor to determine transport cost (LimAƒA£o and Venables, 2001). Generally these types of cost associated in foreign trade. 1. Physical Shipping cost. 2. Time related cost (Lead Time). 3. Cost of cultural unfamiliarity. Among these costs physical and shipping cost obvious with respect to distance in a trade (Frankel, 1997 quoted from Linnemann, 1996). Generally neighbor countries have more integrated logistics network that reduce number of trans-shipments. Second, neighboring countries are more likely to have transit and custom agreements that reduce transit time and translate into lower shipping and insurance cost. This suggests that distance affects trade volumes through transportation costs and through other channels such as information, which is often associated with distance. It has been realized that poor communication network leads to higher transportation cost, which significantly affect on the volume of trade (LimAƒA£o and Venables, 2001). Transportation cost negatively affect on trade volumes due to complex geographical location, infrastructure, administrative barriers and the structure of shipping industry. Based on comprehensive literature review, land locked countries face transportation cost fifteen percent higher and lower trade volumes than representative coastal countries (LimAƒA£o and Venables, 2001).
Study found that most countries have liberalize policy on transfers payments; since economic policy is increasingly shifting toward liberalize transaction. Exchange control acts as a tax on foreign currency required for purchasing goods and services. Besides this basic effect, exchange and capital controls influence trade through other channels as well, for example, transaction cost; exchange rates, foreign exchange risk and trade financing. Study found that exchange and capital control often raise transaction cost (Tamirisa, 1999). Furthermore, exchange and capital controls can reduce trade by limiting the transfer of technology, managerial expertise and skills through foreign direct investment. Capital controls often limit business opportunities for hedging foreign exchange risk and trade financing. Thus inhibit trade volume in the presence of capital control. Exchange and capital control on other hand, often associated with an overvalued exchange rate, which inhibit trade. Moreover capital controls help to retain domestic savings and higher saving leads to higher investment in export sectors; thus trade may increase (Tamirisa, 1999). Study found that capital controls are critical barrier to export into developing and transition economies; but not to industrialized countries. These findings attribute to capital controls, which noticeably reduce export into developing and transition economies and have only a minor negative impact on export for developed economies. Reason is that industrial economies have relatively liberal regimes for global capital movement. While many developing and transition economies continue maintain various capital controls (Tamirisa, 1999). Exchange and capital controls affect trade through interrelated channels, including transaction cost, and volatility of exchange rate, inter temporal trade, and portfolio diversification. Study realized exchange and capital control have a negative impact on export. However, this result varies depending on the level of development in the country and type of exchange and capital control. These results may reflect the extent, to which restrictions on current payment and transfers have been liberalized (Tamirisa, 1999).
Trade cost operates primarily via price. In the context of monopolistic competition model, difficulty is created by the complexity of constant elasticity substitution (C.E.S) price index in the presence of asymmetric trade costs. To resolve this difficulty, three approaches have been taken: 1. G.D.P price indexes are used to capture the price effects in the gravity equation as Bergstrand (1985, 1989) and Baier and Bergstrand (2001). 2. Estimated border effects are used to measure the price effects, as in Anderson and Wincoop (2003) and Balistreri and Hillberry (2001). 3. Fixed effects are used to account for the price effects, as in Harrigan (1996), Hummels (1999), Redding and Venables (2002), and others (Lai and Zhu, 2004). Turn to an empirical investigation export from one country to other trading partners depends on gross domestic product (G.D.P). By using [Rauch’s, 1999] classification sample consist in groups: homogeneous goods, differentiated goods in between categories. On the basis of gravity equation framework trade in each of these groups move from homogeneous to differentiated goods; studies found elasticity of export with respect to G.D.P rise significantly. These findings are empirically significant both economically and statistically. The G.D.P of exporting country is found to be a powerful explanatory variable to explain trade relations. There are demographic variables such as G.D.P and population which relate to the size and stage of economic development based on export and import in between countries. These factors are included in the study despite controlling the effect of dependent variable to determine whether size of an economy has an independent influence on trade relations (Feenstra, Markusen, and Rose, 2001). The ratio of trade volume to real G.D.P is often used as an indicator of an economy’s openness to international trade (Prasad and Gable, 1998).
Import duties refer to a tax in which importer pay to the government in order to bring foreign products in a particular country. Most of the import duties are figured in a percentage on declared value of the commodity. An import duty differs from product to product and depends on commodity is being imported. It’s declared value of origin country. While product group used to assess import duties in between two countries (Sampson and Yeats, 1976). The competitiveness of domestic manufacturers adversely affected vis-AƒA -vis import because importer liable to pay additional charges due to execution of projects financed by a trading partners (Mukhopadhyay, 2002). Like India fetched excessive price because of banning imports on some goods, they charged very high duty running around the price of goods. These non traditional goods (mainly consumer durables) provided great stimulus to the contraband trade. However, when there is a massive scale of contraband trade, country face substantial loss in term of revenue (Sarvananthan, 1994).
Study found foreign direct investment change industrial structure and trade flow across a country. Since FDI help in cost reduction and export promotion at host countries through up date technology. Foreign direct Investment (FDI) also provides financial resource for investment at a host country. In other hand it provides foreign exchange that’s positively affect on the balance of trade. Indeed, in the wake of debt crisis, FDI has come to be viewed as an increasingly important source of revenue for developing countries (Goldar and Ishigami, 1999). Advantage of FDI is that it assists the host country to improve its export performance. By raising the level of efficiency and the standards of product quality, FDI makes a positive impact on the host country’s export. Furthermore, it provides better access to export in foreign markets. According to the Hymer-Kindleberger theory (Kindleberger, 1969) foreign owned firms investment at the host country; if it possesses competitive advantage which allows them sustainable growth. Foreign direct investment plays significant role to promote export and to change industrial structure of Asian countries through transfer of technology. Dunning’s eclectic theory of international trade (Dunning, 1988) explain overseas market served by enterprises in different geographical location around the world. According to this theory, firms invest in a country if following conditions are satisfied: Firm possesses some ownership advantages vis-AƒA -vis firms with other nationalities serving particular markets. It is more beneficial for the firm to produce in foreign country due to update technology and Infrastructure of a particular country (Goldar and Ishigami, 1999). FDI contribute on economic growth of the region through cost reduction and export promotion. On other hand, rapid growth is being attained by the region due to update technology and infrastructure for a particular country. As growth leads to expansion of both domestic and global market (Goldar and Ishigami, 1999). FDI flow in Asia has shifted over a time from Asian Newly Industrialize Economies (N.I.Es) to A.S.E.A.N. While china and Japan have became persistent source of FDI in developing countries (Goldar and Ishigami, 1999). During the past two decades, Taiwan, South Korea, Singapore, and Hong Kong witnessed most rapid economic growth in all developing countries. Their export oriented strategy emphasis on foreign investment and trade is considered the main cause for their success (Amirahmadi and Weiping Wu, 1994). Many countries established Export Processing Zones and Special Economic Zone to promote foreign investment and export to other countries. These zones have preferential treatment in manufacturing process. Their products are targeted for export market. Taiwan and China are the chief example; where these zones have become major attractions of FDI (Amirahmadi and Weiping Wu, 1994). Exports and FDI is complementary instrument in economic growth [Veugelers and Yamawaki, 1991]. Increasing import and inward FDI increase competition on domestic market and reduce domestic firms’ profitability. FDI allow transfer of technology to produce and sell goods on foreign market. Empirical study found import have positive effects on competitive behavior of domestic firms and have negative effects on their profitability; it has been analyzed theoretically (e.g. by Caves , Jacquemin ) and empirically in the literature (e.g. by Levinsohn , Pugel [1978, 1980], Turner ); (Bertschek, 1995). Based on export oriented group of countries, foreign investment is a more powerful driving force in economic growth process rather than domestic investment. According to this supplementary hypothesis the elasticity of output with respect to foreign capital is predicted as exceeding with respect to domestic capital (Balasubramanyam, Salisu and Sapsford, 1996).
Study comprises factors affecting trade volume of developing economies based on gravity equation framework. Foreign trade relation play vital role for economic development. Foreign trade is influenced by multinational corporation (M.N.Cs). These underlying relationships explain the effects, trade barriers of developing economies based on foreign trade relation. This section present trade model and its key concepts used in this study. Determinants of trade and its relationship with trade theory have been identified, tested and resulted. On the basis of comprehensive literature review; it observed that A¢â‚¬Ëœtariff, inflation and transportation cost are significant factors affects on trade volume of Asian countries. The trade model tested based on developed hypotheses in the next section of this research.
Based on comprehensive literature following are the facets of trade theories focus on various concepts associated with global trade in terms of theories expanded by the scholars.
Study found that international trade flow well described by a A¢â‚¬Å“gravity equation frameworkA¢â‚¬A indeed, gravity equation is one of the empirical accomplishment stories in economics and trade theories (Feenstra, Markusen and Rose, 1999). The gravity equation framework is one of the most popular empirical evidence for the whole range of spatial relations in economics and international trade over a period of time. Generally it apply to study determinants of trade volume and to assess various regional economic integration with respect to developing economies (Cieslik, 2007). In the context of international trade, gravity equation in its basic form nominate the amount of trade in-between two countries increases in their size and proportion to their national income, and inversely decreases by the cost of transport between them, (As measured by distance between their economic centers). This relationship closely look like Newton’s (1687) law of gravitation which states that every atom in the universe attracts other atom with a force that is comparative to the product of their masses and inversely comparative to the distance among particles (Cieslik, 2007). Although gravity equation in its basic form performs a good job to justify foreign trade based on size of trading countries and distance between them. Therefore, in order to improve performance of the gravity equation in empirical studies of trade; one should take into account the impact of other factors that affects on volume of trade (Cieslik, 2007).
The concept of the gravity model based on Newton’s Law of Universal gravitation which relate the force of attraction between two objects with their combined masses and distance between them. The application of gravity model in social sciences empirically proposed by James Stewart in the 1940s (Fitzsimons et al., 1999). And then originally applied to international trade by Tinbergen (1962), the gravity model predicts trade flow between any two countries as a function of their size and distance between them (Walsh, 2006). Economic size is measured by gross domestic product, population and per capita income. Distance typically calculated through transportation cost between countries’ capital cities. In some studies this is replaced by the measures of remoteness through G.D.P or measure distances relative to the country’s average distance with all trading partners. Extension of this approach is to calculate trade cost with respect to barriers. And other restrictions on trade flow by comparing predicted and actual levels of trade volume (Walsh, 2006). As the empirical applications of the gravity model has grown theoretically over a period of time; foundation of this model have also developed. Beginning with Anderson (1979); who illustrates gravity equation framework is consistent with a model of trade in which products are differentiated by the country of origin (Walsh, 2006). The gravity model is being established in a literature and measure potential trade between countries. The gravity model; defined by the Newton’s Law of Gravitation, explain trade flow between two countries. It is one of the most popular empirical associations in economics and international trade. Earlier studies have estimated difference between observed values and predicted values those are calculated through O.L.S estimate of gravity model (Baldwin, 1994; and Nilsson, 2000); (Kalirajan and Singh, 2007).
The Newton’s physician primarily justify gravity model based on theoretical justification with their combined masses. Second justification for the gravity model was analyzed by Linneman (1966); (Rahman, 2003). Anderson (1979), Bergstrand (1985, 1989), Thursby (1987), Helpman & Krugman (1985) share this view. Their studies identify number of variables. However, price and exchange variables can be omitted when products are perfect substitutes for one another in consumer preference. This structure of course, obtains the standard Heckscher-Ohlin (H-O) setting (Jakab 2001); (Rahman, 2003).
Study found the gravity model in the context of international trade applied, first time independently by Tinbergen (1962) and PAƒA¶yhAƒA¶nen (1963) but they didn’t have any theoretical justification at the beginning. The earliest but not completely successful attempts provide a theoretical justification for the gravity equation by Linneman (1966), Leamer and Stern (1970) and Leamer (1970). However, origin of the gravity equation from a model was not possible till the product homogeneity assumption; since early neoclassical trade literature was relaxed at that time (Cieslik, 2007). The first formal attempt to derive the gravity equation directly from theoretical point of view made by Anderson (1979) based on Armington hypothesis which argues that products differentiated by the country of origin. Anderson (1979) demonstrated to derive gravity equation by using properties of Cobb Douglas expenditure system when goods produced by a country. Anderson’s (1979) approach subsequently applied and extended by Bergstrand (1985) who derived and summarize equation in terms of trade flow (Cieslik, 2007). An alternative method proposed by Helpman (1987) who completely departed from neoclassical assumptions of traditional Heckscher-Ohlin-Samuelson model. Which assume monopolistic competition and product differentiation among various firm in all industries rather than countries. The monopolistic competition approach viewed as an elegant way to indigenize product differentiation and explain formally on the basis of Armington assumption. The main role of monopolistic competition in Helpman’s (1987) model is to assure that different countries specialize in different varieties of products due to existence economies of scale, at the firm level. Insight has been formalized by Deardorff (1998) who derived gravity equation in its basic structure from traditional Hechscher-Ohlin-Samuelson model with complete specialize in production at a country level (Cieslik, 2007).
International trade is a vast study which comprises several model of trade one of them is gravity model. It is being used extensively in empirical studies of international trade and economics since 1960s. According to the static general equilibrium model, trade is determined by the wealth and size of the countries and distance between them. Theoretical foundation of the gravity model based on trade theories; under imperfect competition this has been integrated with the factor proportion and demand based theories of international trade (Tamirisa, 1999). The basic gravity equation is given by Where, Xkj = Exports from country k to country j. (Qk/Nk) and (Qj/Nj) = Per capita income of country k and j. Nk and Nj = Population of country k and j. Dkj = Geographical distance between country k and j. Akj = Denote factors distorting trade. ekj = Distributed error term. Based on above equation which can be modify by taking natural logs and defined tariff, capital control and geographical distance as a trade distortions as follows: Where, Tjk = Import duty imposed by country j on import from country k, Ej = Aggregate measure of exchange and capital control in country j. The intercept accounts measured trade distortions on export volume. The model estimated by the ordinary least squares method (Tamirisa, 1999).
Study found that tariff, inflation, transportation cost and capital control through foreign direct investment are critical barriers for developing and transition economies but not to developed economies. Controls on current payments and transfer reduce trade flow significantly (Tamirisa, 1999). Study found that distance has a significant affects on export in a part because of trade costs (e.g., transportation and communication) cost likely increase with respect to distance. Tariff barrier in importing countries also tend to have a negative affects. While per capita, G.D.P and population on the other hand have positive affects on export volume (Tamirisa, 1999). It has been realized in this study exchange and capital controls are significant barriers for developing and transition economies. These findings attribute to capital control, which noticeably reduce export in developing and transition economies and have minor negative affects for industrialized economies. The reason is that industrialized economies have relatively liberal regimes for global capital movements; while many developing and transition economies preserve various capital controls. While controls on transfer payment represent barrier for a trade (Tamirisa, 1999).
An overall positive relationship found between trade and investment, greater the international trade among the countries, the higher level of F.D.I generates vice versa. In order to enjoy sustainable competitive advantage from trade liberalization, investments have a significant role for trade development (S. and W. Chaisrisawatsuk, 2007). In this research model, study based on theories influenced trade of developing countries. The empirical evidence indicates relationship between international trade and investment which suggest important role for policy coordination to gain potential benefit, in terms of social welfare improvement. The positive association found in-between trade and investment that’s suggests these are complements. Since trade liberalization leads to welfare improvements, F.D.I induced trade expansion. The on going process of trade and agreement seems to focus on trade liberalization by reducing trade barriers of both tariff and non tariff which obstacle for investment liberalization (S. and W. Chaisrisawatsuk, 2007). Based on all discussions it has been realized in this study foreign trade have paramount significance more or less at all dimensions. The fact behind this; trade liberalization is foremost step for economic growth and development.
Based on comprehensive literature review it noticeably seems that trade barriers are critical factor to form trade liberalization in the context of developing economies. For practicing managers it realized that foreign trade is a vast study which has grown over the period of time at this competitive era, which bringing new concepts of foreign trade relations at this competitive era. The area of research focused to understand major constructs determinants of trade volume, which are seen to revolve around global marketplace. Study reveals that Product, Price, Place and Promotion are significant factors which affects on trade volume. To have a right product, right place at right time in front of target market at this competitive era. Extensive literature illustrate various theories and model of global trade that’s highlight three critical factors affects on trade in which includes; tariff, inflation and transportation cost at this competitive era. This section based on theories influenced trade and economic growth of developing countries. The research model has been tested based on developed hypotheses in the next section of this research to investigate determinants of trade volume in the context of Asian developing economies.
Based on empirical findings, this chapter comprises research hypotheses on the basis of trade theories and empirical evidence; factors affecting trade volume. Those theories empirically identified, tested and resulted to develop research hypotheses. The aim of this study is to understand the basic concepts of trade volume and its key dimensions, this study focused to investigate the role of foreign trade and it’s interactions with competitive era, which affects on global trade. Based on comprehensive studies in foreign trade and management literatures, dimensions of trade and management understand at this stage.
The Problem area or issues regarding factors affecting trade volume based on Asian developing economies observed in this study. Some of the critical factors address in international business like tariff, inflation and transportation cost which negatively affects on trade; to limit the volume of trade at this competitive era. It is realized that inflation rate is critical factor affects on international market. Study also found transportation cost increase with respect to distance in between trading countries. Determinants of trade and their impact on international market evaluated on the basis of multiple criteria in this study. On the basis of empirical evidence research problem is being developed A¢â‚¬Å“Factors affecting trade volume of Asian developing economiesA¢â‚¬A. As economy growth depends on foreign trade due to modern technology and specialized expertise. Since foreign reserves have positive balance of trade with rest of the world.
This study focused to identify factors affecting trade volume based on developing economies formulated by different scholars. It is recognized in literature review; management actions have potential affects on foreign trade, since foreign trade affects positively on economic growth for a particular country. Therefore after studying the model of trade, to measure trade with flourish economic growth for a sustainable period of time by its customer which can be achieved through effective management efforts. Finally study comprise the following hypotheses: H1: There is a relationship between Gross domestic product (G.D.P) and Trade volume. H2: There is a relationship between Foreign direct investment (F.D.I) and Trade volume. H3: There is a relationship between Exchange rate and Trade volume. H4: There is a relationship between Tariff and Trade volume. H5: There is a relationship between Inflation and Trade volume. H6: There is a relationship between Transportation cost and Trade volume. H7: There is a relationship between Import duty and Trade volume. H8: There is a relationship between Population and Trade volume. To answer the above propositions this thesis proceed in the following manner to determine real facts & figure based on assessment of qualitative & quantitative data.
In this chapter theoretical framework represents the relationship among determinants of trade in the context of Asian developing economies. Study found that critical factors affects on foreign trade includes: Tariff, Inflation and Transportation cost respectively by evaluating research hypotheses. Methodology This study empirically examine those factors affecting trade volume in the context of Asian developing economies. As chapter three comprises hypothetical structure with regards to Asian developing economies. This section justifies research objective to evaluate and proper methods that are followed.
Objective of this study is to empirically identify factors affecting trade volume and assess the impacts of trade barriers on Asian developing economies. It further attempts to investigate those factors affects on trade volume significantly.
Research design based on research problem. The research problem therefore employed; to find factors affecting trade volume based on Asian developing economies. Since research design is the basic plan that guide’s about target population of the research to arrange sample size for data collection to analyze data in meaning full methods. The methods that were applied for this research was analytical research design.
Basically nature of this research is ‘descriptive’ to justify those factors empirically identify, evaluated and tested based on develop hypotheses. Independent factors those have been identified in this research comprise (Tariff, Inflation, Transportation cost, Exchange rate, Import duty and F.D.I) on the other hand dependent variable (Trade volume). This research will help to analyze trade barriers and it’s affects on Asian developing economies. This information described with regards to empirical evidence.
Basically this research comprises secondary data; collected from authentic source which includes: 1. World trade organization’s (W.T.O) trade and tariff profiles. 2. The world fact book, from central intelligence authority (C.I.A). 3. Federal bureau of statistics. 4. International Monitory Fund (I.M.F). 5. United Nation Conference on trade and development (U.N.C.T.A.D) and their Annual reports respectively. An explanation based on collected data and the information used to justify this study. Reliability of this study based on filtered data comprised from authentic source which includes: W.T.O, I.M.F, C.I.A (Fact Book) and U.N.C.T.D. To collect filtered data based on specification of this research. Sampling Method Sample size based on target population which comprises developing economies. Therefore this thesis comprised fifteen observations based on five developing economies of Asian countries. Imply A¢â‚¬ËœJudgment sampling’ method due to certain characteristics of developing economies which includes (Pakistan, India, China, Bangladesh and Sri Lanka). These are true representatives of entire population of Asian developing economies. For validity purpose, filtered data comprised based on trade theories to find the answers of this research hypotheses. It was important to understand trade barriers of Asian developing economies at this competitive era, where lot of competition exists due to economic & socio cultural differences. Summary Of Hypotheses Factors Affecting Trade Volume. H1: There is a relationship between Gross domestic product (G.D.P) and Trade volume. H2: There is a relationship between Foreign direct investment (F.D.I) and Trade volume. H3: There is a relationship between Population and Trade volume. H4: There is a relationship between Exchange rate and Trade volume. H5: There is a relationship between Tariff and Trade volume. H6: There is a relationship between Inflation and Trade volume. H7: There is a relationship between Transportation cost and Trade volume. H8: There is a relationship between Import duty and Trade volume.
The statistical tool used to evaluate and interpret data into meaningful information by using S.P.S.S version 13. Filter data from excel sheet was entered in S.P.S.S. Basically regression analysis; Multiple Regression used to test the degree, in which independent variables of foreign trade able to predict dependent variable of trade volume in the context of Asian developing economies. Main Effects (H1 through H8) Hypotheses testing concern factors affecting trade volume based on Asian developing economies by using A¢â‚¬Å“Multiple Regression Analysis.A¢â‚¬A To assess the impact of independent variables: Tariff, Inflation, G.D.P, Transportation cost, Import duty, Exchange rate and F.D.I. on dependent variable of trade; Asian developing economies. Trade Volume = X1 + X2 + X3 Trade DeterminantsA¢â‚¬A¦ + Error term. Result concern the main effects presented in Table 4.1 (H1 through H8) of Asian developing economies. Regression Interprtations Of Hypotheses H1: States there is a relationship between Transportation cost and Trade volume. The level of association between transportation cost and trade volume indicates R is .944 and R2 .883 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .883 shows significant description. The coefficient of regression (AƒÅ¸) is .944 at p<0.05, it explains the 94% positive variation in Transportation comes from 94% positive variation in Trade volume significantly. Hence, H1 Accepted. H2: States there is a relationship between Gross domestic product (G.D.P) and Trade volume. The level of association between gross domestic product and trade volume indicates R is .973 and R2 .939 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .939 shows significant description. The coefficient of regression (AƒÅ¸) is .491 at p<0.05, it explains the 49% positive variation in G.D.P comes from 49% positive variation in Trade volume significantly. Hence, H2 Accepted. H3: States there is a relationship between Tariff and Trade volume. The level of association between tariff and trade volume indicates R is .984 and R2 .960 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .960 shows significant description. The coefficient of regression (AƒÅ¸) is -.179 at p<0.05, it explains the 18% negative variation in Tariff comes from 18% negative variation in Trade volume significantly. Hence, H3 Accepted. H4: States there is a relationship between Exchange rate and Trade volume. The level of association between exchange rate and trade volume indicates R is .990 and R2 .972 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .972 shows significant description. The coefficient of regression (AƒÅ¸) is -.219 at p<0.05, it explains the 22% negative variation in exchange rate comes from 22% negative variation in Trade volume significantly. Hence, H4 Accepted. H5: States there is a relationship between Population and Trade volume. The level of association between population and trade volume indicates R is .998 and R2 .994 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .994 shows significant description. The coefficient of regression (AƒÅ¸) is -.467 at p<0.05, it explains the 47% negative variation in Population comes from 47% Population variation in Trade volume significantly. Hence, H5 Accepted. H6: States there is a relationship between foreign direct investment (F.D.I) and Trade volume. The level of association between foreign direct investment and trade volume indicates R is .965 and R2 .926 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .926 shows significant description. The coefficient of regression (AƒÅ¸) is .965 at p<0.05, it explains the 96% positive variation in foreign direct investment (F.D.I) comes from 96% positive variation in Trade volume significantly. Hence, H6 Accepted. H7: States there is a relationship between Import duty and Trade volume. The level of association between import duty and trade volume indicates R is .989 and R2 .974 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .974 shows significant description. The coefficient of regression (AƒÅ¸) is .263 at p<0.05, it explains the 26% positive variation in Import duty comes from 26% positive variation in Trade volume significantly. Hence, H7 Accepted. H8: States there is a relationship between Inflation and Trade volume. The level of association between inflation and trade volume indicates R is .993 and R2 .982 at p<0.05, which represent substantial correlation between dependent and independent variables. The R2 = .982 shows significant description. The coefficient of regression (AƒÅ¸) is .148 at p<0.05, it explains the 15% positive variation in Inflation comes from 15% positive variation in Trade volume significantly. Hence, H8 Accepted.
Following are the limitations faced during the structure of this research. This research generalized specifically on Asian developing economies which can not be generalized on other economies. Specific data comprised only authentic sources due to limited time and information availability. Further in research, critical factors have been observed, the most affects include (Tariff, Inflation and Transportation Cost) are significant barriers on trade of Asian developing economies.
In this chapter research methodology describe in the light of factors affecting trade volume. This was a descriptive study; which incorporates data from authentic sources based on comprehensive literature review. Regarding analytical technique, the model was tested by using; Multiple Regression Analysis to assess determinants of trade volume in the context of Asian developing economies on the basis of extensive literature review.
The final chapter discus empirical evidence and research findings presented in preceding chapters. Based on develop hypotheses to identify trade issues and implication for the practicing manager in the context of Asian developing economies. In this study key dimensions of foreign trade includes tariff, inflation, transportation cost and exchange rate are significant factors which affects on trade. This Study further incorporates other key elements to elaborate determinants of trade such as Import duty, F.D.I and G.D.P respectively. Study found that G.D.P of exporting country is a powerful explanatory variable in the relative intensity of trade relation (Feenstra, Markusen and Rose, 2001).
On the basis of Table 4.1 where result of hypotheses shown accordingly. Result on that table represents factors affecting trade volume based on Asian developing economies and their significance level. The aim was to identify determinants of trade and their affects in the context of Asian developing economies. Result of the analysis identify significant association among these variables (Tariff, Inflation, Transportation cost, Exchange rate, F.D.I and G.D.P) are statistically significant in relation to trade volume of these economies like (Pakistan, India, China, Bangladesh and Sri Lanka). For this one determinant of trade represents significant relationship among these variables. Based on comprehensive literature and theoretical framework of this research, result indicates that (Tariff, Inflation and Transportation Cost) are statistically significant factors which critically affects on trade of Asian developing economies.
The major implications of this research are two fold. Academically it advance theory of International trade: Factors affecting trade volume based on Asian developing economies. Practically it focuses the attention of regional managers to continuously grow their business in other countries to lead in a global market and retain their market share based on sustainable competitive advantage. Another implication for managers and entrepreneurs is to implement supply chain management effectively to manage their backward and forward integration based on sustainable competitive advantage to build their strength in distribution network to minimize logistic and transportation cost.
On the basis of limitation there are numerous opportunities for future research. Since generalize propositions can not explain the phenomena alone; due to integrated approach need to implement to gain sustainable competitive advantage. These are the few potential opportunities for future research. First an integrated method need to adopt; to understand the essence of trade barriers caused by (Tariff, Inflation and Transportation cost) in relevance to multilateral trade construct. Using this approach provide better understanding of how trade barriers reveal with other factors of trade volume and affects on transitional, developing and developed economies. Second, the extent literature includes other dimensions relevant to both trade barriers and additional economies to identify relationship among determinants of trade with regards to developed and transitional economies.
Aim of this study was to investigate the factors affecting trade volume based on Asian developing economies. A theoretical framework was developed to represent the link between trade barriers of developing economies; Based on gravity equation frame work to examine trade flow of developing economies. Given the lack of research based on trade strategies, in the context of Asian developing economies. Dimensions of trade barriers were first theoretically delineated then empirically validated. The dimension includes: Tariff, Inflation, Gross domestic product and foreign direct investment were top of the mind. Filtered data were collected from authentic sources. The key information was used to collect data from W.T.O, I.M.F, U.N.C.T.D, C.I.A (World fact Book). The main statistical technique used in descriptive research based on Multiple Regression Analysis. In the area of trade, this study attempt to explain determinants of trade in the context of developing economies. It also represents empirical and theoretical steps toward an explanation of trade barriers based on gravity equation framework. Such effort not only directed towards assimilating trade barriers of developing economies. But also toward generalizing the relevant studies mainly conducted from management perspective. Therefore such type of research necessary due to lack of study with this regards in the context of Asian developing economies. Due to such type of efforts acknowledge academically and practically in the future.
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