The Barrier Model of Productivity Growth: South Africa

The barrier model of productivity growth suggests that individual country productivity is related to the world technology frontier disturbed by national barriers. We offer a country study of the barrier model exploiting the dramatic changes in the linkages to the world economy in South Africa. The productivity growth in the manufacturing sector panel for 1970-2003 covers a period of political and economic turbulence and international sanctions. The econometric analysis uses tariffs as measure of barrier and fixed effects estimation to concentrate inference to time series properties. The model shows how productivity growth can be understood as a combination of world frontier growth and the tariff barrier to international spillovers. The estimates establish a long run relationship where domestic productivity follows the world frontier and with change of the barrier affecting transitional growth.

[1]  M. Greaker.  Industrial Competitiveness and Diffusion of New Pollution Abatement Technology - a new look at the Porter-hypothesis , 2004 .

[2]  D. Rodrik,et al.  Trade Policy and Economic Growth: A Skeptic's Guide to the Cross-National Evidence , 1999, NBER Macroeconomics Annual.

[3]  Peter Howitt,et al.  Endogenous Growth and Cross-Country Income Differences , 2000 .

[4]  K. R. Wangen,et al.  Some fundamental problems in Becker, Grossman and Murphy's implementation of rational addiction theory , 2004 .

[5]  M. Pesaran,et al.  Testing for unit roots in heterogeneous panels , 2003 .

[6]  Edward C. Prescott,et al.  Needed: a theory of total factor productivity , 1998 .

[7]  R. Rigobón,et al.  Once Again, is Openness Good for Growth? , 2004, SSRN Electronic Journal.

[8]  Annegrete Bruvoll,et al.  Transboundary environmental policy effects: Markets and emission leakages , 2004 .

[9]  Bente Halvorsen,et al.  Willingness to pay for dental fear treatment , 2004, The European Journal of Health Economics.

[10]  Charles R. Hulten.  Total Factor Productivity: A Short Biography , 2000 .

[11]  P. Ferreira,et al.  New Evidence from Brazil on Trade Liberalization and Productivity Growth , 2003 .

[12]  M. V. Dijk.  South African manufacturing performance in international perspective, 1970-1999 , 2005 .

[13]  Jan Larsson,et al.  Consequences of the IPPC-directive's BAT requirements for abatement costs and emissions , 2005 .

[14]  J. Fedderke.  Technology, Human Capital and Growth: evidence from a middle income country case study applying dynamic heterogeneous panel analysis , 2002 .

[15]  Erling Røed Larsen.  Escaping the Resource Curse and the Dutch Disease? When and Why Norway Caught up with and Forged ahead of Its Neighbors , 2006 .

[16]  D. Romer,et al.  Does Trade Cause Growth , 1999 .

[17]  Shigeki Kano,et al.  A panel cointegration approach , 2004 .

[18]  John K. Dagsvik,et al.  A Stochastic Model for the Utility of Income , 2003 .

[19]  A. Rose,et al.  An Estimate of the Effect of Common Currencies on Trade and Income , 2001 .

[20]  Philip I. Levy.  Sanctions on South Africa: What Did They Do? , 1999 .

[21]  L. R. Ngai.  Barriers and the transition to modern growth , 2004 .

[22]  Nico Keilman,et al.  Empirical errors and predicted errors in fertility, mortality and migration forecasts in the European Economic Area , 2004 .

[23]  Anindya Banerjee,et al.  Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework , 1998 .

[24]  B. Strøm,et al.  The Social Cost of Government Spending in an Economy with Large Tax Distortions. A CGE Decomposition for Norway , 2004 .

[25]  J. Muellbauer,et al.  Interest Rate Effects on Output: Evidence from a GDP Forecasting Model for South Africa , 2002, IMF Staff Papers.

[26]  A. Ciccone,et al.  TRADE AND PRODUCTIVITY , 2006 .

[27]  Peter J. Klenow,et al.  Externalities and Growth , 2004 .

[28]  Torstein Bye,et al.  Technological changes in the pulp and paper industry and the role of uniform versus selective environmental policy , 2003 .

[29]  Marko Terviö,et al.  Does Trade Raise Income? Evidence from the Twentieth Century , 2000 .

[30]  Elhanan Helpman,et al.  North-South R&D Spillovers , 1994, SSRN Electronic Journal.

[31]  Harold L. Cole,et al.  Federal Reserve Bank of Minneapolis Research Department Staff Report 351 Latin America in the Rearview Mirror , 2022 .

[32]  Robert P. Flood,et al.  Dynamic Gains from Trade: Evidence from South Africa , 2001 .

[33]  D. Dollar,et al.  Institutions, Trade, and Growth , 2022 .

[34]  Emanuela Marrocu,et al.  Estimation of Total Factor Productivity for Regions and Sectors in Italy. A Panel Cointegration Approach , 2000 .

[35]  C. I. Jones,et al.  Why Do Some Countries Produce so Much More Output Per Worker than Others? , 1998 .

[36]  H. Stokke,et al.  Ramsey model of barriers to growth and skill-biased income distribution in South Africa , 2004 .

[37]  Johannes Van Biesebroeck,et al.  Exporting Raises Productivity in Sub-Saharan African Manufacturing Plants , 2005 .

[38]  R. Nelson,et al.  Investment in humans, technological diffusion and economic growth , 1965 .

[39]  Kjetil Telle,et al.  Indirect Social Sanctions from Monetarily Unaffected Strangers in a Public Good Game , 2003 .

[40]  Edward C. Prescott,et al.  A unified theory of the evolution of international income levels , 2004 .

[41]  Tamim A. Bayoumi.  Financial Deregulation and Household Saving , 1992 .

[42]  Stephen L. Parente,et al.  Barriers to Technology Adoption and Development , 1994, Journal of Political Economy.

[43]  G. M. Gallarotti,et al.  It pays to be green: The managerial incentive structure and environmentally sound strategies , 1995 .

[44]  A. Bernard,et al.  Exceptional Exporter Performance: Cause, Effect, or Both? , 1997 .

[45]  David Gee,et al.  LATE LESSONS FROM EARLY WARNINGS , 2004 .