12 research outputs found

    South Africa-US intra-industry trade in services

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    The steady growth of services sector’s contribution to national output (GDP) and employment is a characteristic feature of most modern economies. The increase in the contribution of services is attributed to revolution in information communication technology (ICT) and liberalisation under the General Agreement on Trade in Services (GATS) since 1994. Despite its dominance in economic growth and job creation, services account for less than a quarter of total trade in South Africa and the US due to its limited tradability and unrecorded transactions. The enhanced internationalisation of services has two opposite economic welfare implications for South Africa. On one hand, the increase generates standard comparative advantage gains (specialisation and exchange) and non-comparative advantage gains (pro-competitive, exploitation of economies of scale, increased variety and lower factor market adjustment costs). Additionally, proper phasing in of liberalisation of trade for services could be consistent and complementary to sustainable development in the context of the Doha Development Agenda (DDA). On the other hand, the increased tradability may lead to higher factor market adjustment costs along the lines of Stolper-Samuelson theorem or vertical differentiation model of Flam and Helpman (1987). The negative effects of internationalisation of services are the causes of the anti-globalisation sentiments in the world (Bhagwati, 2004, Salvatore, 2004a and 2004b) and South Africa (mainly by the confederation of South African trade unions, COSATU). However, to understand the benefits and costs of South Africa’s trade in services with the US (South Africa’s leading exports destination of services in the OECD countries) calls for a need to disentangle inter-industry and intra-industry trade (IIT) flows since they have different causes and consequences. This is, however, frustrated by lack of appropriate data. It is against this background that the study addresses two key issues about South Africa-US IIT in services. Firstly, what are the determinants of South Africa-US IIT in selected services during the period 1994-2002? Secondly, when trade expands/contracts, is factor adjustment lower in an environment characterised by IIT (Smooth Adjustment Hypothesis)? In answering these questions, other complementary issues are dealt with: the structure and trends of South Africa-US trade in selected services as well as nonparametric measures of barriers to trade in services for South Africa and the US. Utilising both descriptive and bootstrapped panel data econometric analysis, a number of conclusions emerge from the study. Firstly, using the GATS commitment schedules in 1994, 1995, 1997 and 1998 and WTO trade policy reviews, South Africa has higher trade barriers in most services especially telecommunications and banking than the US. This is typical of low and middle-income economies. Secondly, the study shows that South Africa-US IIT in selected services is determined by factors similar (except economic distance) to those identified in other “North-South” IIT studies. Specifically, it is determined by economic distance proxied by differences in per capita income, differences in market size, FDI by American companies in South Africa, service and time-specific effects. Additionally the study remotely suggests horizontal intra-industry trade (HIIT). This finding is inconsistent with the other “North-South” IIT on goods studies, which show vertic al (quality) differentiated intra-industry trade (VIIT) as the dominant form of trade. Thirdly, the study shows that marginal intra-industry trade (MIIT) is low for most services. Given the consistency of the results with the CHO model of HIIT, the low MIIT implies potentially high trade-induced labour market adjustment costs. There are a number of policy implications that emerge from the study. Firstly, there is an urgent need for Statistics South Africa (STATSSA) and South African Reserve Bank (SARB) to adopt the current manual on statistics of international trade in Services (MSITS) with a view to providing a comprehensive database for trade analysis as well as form a basis for identifying priority areas and strategies in future services trade negotiations. Secondly, the fact that there is a significant negative relationship between IIT and per capita income difference (economic distance) means that South Africa-US IIT in services is inimical to intra-industry specialisation and trade in homogenous and horizontally differentiated services. South Africa should therefore view the services component of the SACU-US FTA with caution and use trade and industrial policy strategically to fashion the location of production in Southern Africa in the hope of deriving future scale advantages in services. Thirdly, the study shows that there is a positive relationship between FDI and IIT implying that US multinationals in South Africa play a complementary rather than a supplementary role. Thus there is need for an intensification of initiatives to promote investment from the US e.g. the American Chamber of Commerce in South Africa (AMCHAM). Finally, the low MIIT calls for the need for the government to cushion the adverse effects of South Africa-US trade in services. These include, among others, programs that assist on guidance in job searching and retraining of retrenched employees. Additionally, South Africa’s trade negotiators could treat the MIIT indices as guesstimates of the extent of trade disruption in the services sector and use them in negotiating for market access and national treatment concessions from the US during future services trade negotiations.Thesis (PhD (Economics))--University of Pretoria, 2006.Economicsunrestricte

    Estimating Namibias Equilibrium Real Exchange Rate

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    This paper estimates the equilibrium real exchange rate for Namibia for the post independence period (1998 to 2012) using quarterly data. Increases in the ratio of investment to GDP and resource balance are associated with an appreciation of the real exchange rate. The terms of trade causes the real exchange rate to depreciate, which suggests that the substitution effect was dominant over the income effect. The real exchange rate adjusts to equilibrium rate while the speed of adjustment indicates that it takes about 4.4 quarters or 1.1 years for 50 percent of the deviation from the equilibrium to be corrected. There were periods of undervaluation and overvaluation of the real exchange, which means that the real exchange rate experienced misalignment

    Determinants of Access to Credit by Individuals in Kenya: A Comparative Analysis of the Kenya National FinAccess Surveys of 2006 and 2009

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    Access to credit remains a farfetched goal to the vast majority of Kenyans. Kenya's National FinAccess Survey, 2009 revealed that 60.4% of Kenya's adult population is totally excluded from the credit market despite concerted government efforts to deepen access. This however marks a slight improvement from the 63.4% figure recorded in 2006. Using multinomial probit models, the study drew a comparative analysis of the role played by individual characteristics on access to credit from various strands in 2006 and 2009. Results indicate that increase in household size reduced access to bank loans and ASCAs while it promoted access to loans from buyers of harvest. Increase in distance to service provider led to a decline in access to credit even though the impact was marginal. On the other hand, increase in age; education and income tend to enhance access to credit but the probability of access drops as one draws close to retirement age. The study recommends that measures geared towards reduction of information asymmetry like assessing the household characteristics, increased sharing of information, increased income need to be enhanced to help deepen access to credit

    Bank lending channel in South Africa : bank-level dynamic panel data analysis

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    The paper investigates the bank-lending channel (BLC) of monetary policy in South Africa using quarterly bank-level data for the period 2000Q1-2004Q4. Capital adequacy and bank size are used as indicators for information problems faced by banks when they look for external finance. Utilising dynamic panel estimation methods the study shows that BLC operates in South Africa. The finding has some policy implications. First, there is need to coordinate monetary policy with financial innovations and prudential banking regulations. Second, the overall effects of monetary policy pursued by the South African Reserve Bank cannot be completely characterised by interest rates only

    A BVAR model for the South African economy

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    The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for the period of 1970:1-2000:4 and forecasts GDP, consumption, investment, short-term and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate forecasts than a loose one. The out-of-sample-forecast accuracy resulting from the BVAR model is compared with the same generated from the univariate and unrestricted VAR models. The BVAR model is found to produce the most accurate out of sample forecasts. The same is also capable of correctly predicting the direction of change in the chosen macroeconomic indicators

    Estimating the equilibrium real exchange rate for Namibia

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    This paper estimates the equilibrium real exchange rate and the resulting real exchange rate misalignment in Namibia during the period 1970 to 2004. The equilibrium real exchange rate is determined by trade and exchange restrictions (openness), terms of trade and ratio of investment to GDP. An increase in openness and ratio of investment to GDP cause the real exchange rate to appreciate. The real exchange rate was overvalued for almost the entire estimation period. It reached its equilibrium value in 1998. It is important to monitor the real exchange rate, and ensure that the divergence from the equilibrium value is minimised

    Determinants of South Africa-US intra-industry trade in services : a wild bootstrap dynamic panel data analysis

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    The study attempts to empirically identify factors that determine South Africa–US intra-industry trade (IIT) in selected services during the period 1994-2002. The study utilises Liu-Davidson-Flachaire wild bootstrap, which is robust to heteroscedasticity and provides estimates of the degree of parameter bias. The empirical results, in principle, show that South Africa–US IIT in the selected services is determined by factors similar to goods-based "North-South" IIT studies. Specifically, differences in per capita income and differences in market size negatively affect IIT. The study also indicates that US foreign direct investment in South Africa positively contributes to the unaffiliated IIT in services

    An econometric model of rand-US dollar nominal exchange rate

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    Modeling the nominal exchange rate has been one of the most difficult exercises in economics. This paper attempts to estimate the nominal rand-USD exchange rate under the Dornbusch(1980) and Frankel (1979) overshooting model using the Johansen cointegration technique. The overshooting model fits the data well and that commodity prices are sticky in South Africa. Thus any monetary policy strategy to strengthen or weaken the rand by means of raising or cutting interest rate does the opposite in the short-run

    An augmented gravity model of South Africa's exports of transport equipments and machineries

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    The study applies an “augmented” gravity equation to South Africa’s exports of motor vehicles, parts & accessories (SIC 381-383) to 76 countries over the period 1994 to 2003. The study employs a dynamic panel data model to estimate long-run and short-run coefficients. First, it is shown that it takes about 16 months for exports to adjust. Second, a number of variables, namely, importer income, population, exchange rate, distance, free trade agreements are important determinants of bilateral trade flows for motor vehicles, parts & accessories. Third, the gravity model is solved stochastically to determine South Africa’s “optimistic”, “pessimistic” and “average” potential exports to the 76 countries. Finally, estimates of the degree of variability of “average” potential exports are provided, which show that South Africa’s trade with Germany, the United Kingdom and the United States have low variability
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