Title page for ETD etd-09262005-124632


Document Type Doctoral Thesis
Author Sichei, Moses Muse
Email moses.sichei@up.ac.za, sichei@yahoo.co.uk
URN etd-09262005-124632
Document Title South Africa-US intra-industry trade in services
Degree PhD (Economics)
Department Economics
Supervisor
Advisor Name Title
Prof C Harmse
Keywords
  • no key words available
Date 2005-08-01
Availability unrestricted
Abstract
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.

Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  00front.pdf 283.87 Kb 00:01:18 00:00:40 00:00:35 00:00:17 00:00:01
  01chapter1.pdf 460.76 Kb 00:02:07 00:01:05 00:00:57 00:00:28 00:00:02
  02chapter2.pdf 388.11 Kb 00:01:47 00:00:55 00:00:48 00:00:24 00:00:02
  03chapter3.pdf 283.87 Kb 00:01:18 00:00:40 00:00:35 00:00:17 00:00:01
  04chapter4.pdf 504.95 Kb 00:02:20 00:01:12 00:01:03 00:00:31 00:00:02
  05chapter5.pdf 1.56 Mb 00:07:11 00:03:42 00:03:14 00:01:37 00:00:08
  06chapter6.pdf 447.62 Kb 00:02:04 00:01:03 00:00:55 00:00:27 00:00:02
  07chapter7.pdf 209.51 Kb 00:00:58 00:00:29 00:00:26 00:00:13 00:00:01
  08back.pdf 1.24 Mb 00:05:45 00:02:57 00:02:35 00:01:17 00:00:06

Browse All Available ETDs by ( Author | Department )

If you have more questions or technical problems, please Contact UPeTD.