Cycle-Trend Dichotomy of the Dutch Disease Phenomenon

This paper aims to study the simultaneous effects of Dutsh Disease (DD) phenomenon on the industrial and agricultural sectors for five oilexporting countries with different development levels. To proceed, we propose to study the dynamic relationship between oil rent, industrial added value and agricultural added value in a structural multivariate framework. The idea is to capture both short and long term dynamics of this relationship, by performing the model’s cycle-trend dichotomy using SVECM approach. The results have shown that the DD phenomenon effects both agricultural and industrial sectors in the considered countries with one exception for each sector. The impacts and adverse effects that might have the DD phenomenon on each sector accordingly whether it is permanent or transient, depend on the economy nature and the strategy adopted. The findings confirmed that the DD phenomenon affecting the industrial sector ephemerally however the agricultural sector is rather being affected in the long term.The results also, have indicated that developing countries notably Morocco, is model to consolidate, and that the case of great emerging countr

[1]  C. Granger,et al.  Co-integration and error correction: representation, estimation and testing , 1987 .

[2]  B. Bernanke,et al.  Inside the Black Box: The Credit Channel of Monetary Policy Transmission , 1995 .

[3]  H. Bjørnland.  Sources of Business Cycles in Energy Producing Economies - The case of Norway and United Kingdom , 1996 .

[4]  Atul A. Dar,et al.  Government size, factor accumulation, and economic growth: evidence from OECD countries , 2002 .

[5]  C. Granger.  Some properties of time series data and their use in econometric model specification , 1981 .

[6]  U. Soytaş,et al.  Oil price, agricultural commodity prices, and the dollar: A panel cointegration and causality analysis , 2012 .

[7]  C. Harvie,et al.  Resource price turbulence and macroeconomic adjustment for a resource exporter: a conceptual framework for policy analysis , 2010 .

[8]  W. Buiter,et al.  Oil, Disinflation, and Export Competitiveness: A Model of the "Dutch Disease" , 1980 .

[9]  Helmut Lütkepohl,et al.  Granger-causality in cointegrated VAR processes The case of the term structure , 1992 .

[10]  Shaun P. Vahey,et al.  Measuring Core Inflation , 1995 .

[11]  C. Sims.  Are forecasting models usable for policy analysis , 1986 .

[12]  The Long Run Dynamic of the Dutch Disease Phenomenon: A SVAR Approach , 2013 .

[13]  A. Warne.  A Common Trends Model : Identification, Estimation and Inference , 1993 .

[14]  R. Auty.  Resource Abundance and Economic Development , 1998 .

[15]  S. Johansen.  Likelihood-Based Inference in Cointegrated Vector Autoregressive Models , 1996 .

[16]  M. Olagunju,et al.  The Primary Sectors of the Economy and the Dutch Disease in Nigeria , 2005 .

[17]  H. Bjørnland.  The Economic Effects of North Sea Oil on the Manufacturing Sector , 1998 .

[18]  R. Weiner,et al.  The ‘Dutch’ disease in a developing country: Oil reserves in Cameroon☆ , 1989 .

[19]  Rangan Gupta,et al.  Dutch disease effect of oil rents on agriculture value added in Middle East and North African (MENA) countries , 2014 .

[20]  Helmut Lütkepohl,et al.  Impulse response analysis of cointegrated systems , 1992 .

[21]  Regional Growth and Migration: A Japan-U.S. Comparison , 1992 .

[22]  M. Sturm,et al.  Rainwater harvesting as an alternative water resource in rural sites in central northern Namibia , 2009 .

[23]  J. Sachs,et al.  The big push, natural resource booms and growth , 1999 .

[24]  D. Hendry,et al.  Co-Integration and Error Correction : Representation , Estimation , and Testing , 2007 .

[25]  Saban Nazlioglu,et al.  World oil and agricultural commodity prices: Evidence from nonlinear causality , 2011 .

[26]  W. Max Corden,et al.  Booming Sector and De-Industrialisation in a Small Open Economy , 1982 .

[27]  A. Venables,et al.  THE MACROECONOMIC IMPLICATIONS OF A RESOURCE DISCOVERY IN AN OPEN ECONOMY , 1982 .

[28]  Olivier J. Blanchard,et al.  The Dynamic Effects of Aggregate Demand and Supply Disturbances , 1988 .

[29]  M. Watson,et al.  Are Business Cycles All Alike? , 1984 .