TY - BOOK ID - 84538831 TI - “Big Bang” Versus Gradualism in Economic Reforms : An Intertemporal Analysis with an Application to China AU - Feltenstein, Andrew. AU - Nsouli, Saleh. PY - 2001 SN - 1462398375 1452798672 1281265985 1451897901 9786613778208 PB - Washington, D.C. : International Monetary Fund, DB - UniCat KW - Budgeting KW - Exports and Imports KW - Macroeconomics KW - Computable and Other Applied General Equilibrium Models KW - Socialist Systems and Transitional Economies: Planning, Coordination, and Reform KW - Comparison of Public and Private Enterprises and Nonprofit Institutions KW - Privatization KW - Contracting Out KW - Current Account Adjustment KW - Short-term Capital Movements KW - Labor Economics: General KW - National Budget KW - Budget Systems KW - Nonprofit Organizations and Public Enterprise: General KW - Public Enterprises KW - Public-Private Enterprises KW - International economics KW - Labour KW - income economics KW - Budgeting & financial management KW - Public ownership KW - nationalization KW - Civil service & public sector KW - Current account KW - Labor KW - Budget planning and preparation KW - Public enterprises KW - Economic sectors KW - Balance of payments KW - Public sector KW - Labor economics KW - Budget KW - Government business enterprises KW - Finance, Public KW - China, People's Republic of KW - Income economics KW - Nationalization UR - https://www.unicat.be/uniCat?func=search&query=sysid:84538831 AB - This paper reviews briefly the controversy in the literature concerning the speed of adjustment and sequencing of reforms, and presents a model parameterized with Chinese data. The model is used to generate different policy simulations to illustrate some of the key issues in the debate on the speed and sequencing of reforms, and not to provide a basis for policy recommendations for China. The simulations highlight the importance of the criteria being used for determining speed and sequencing. The paper also underscores the limitations involved in attempting to derive conclusions from the model, given the complexity of the issues. ER -