Exploring the Impact of Agricultural Price and Trade Policy Reform under Transition in Albania
Agricultural policy decision making in economies undergoing transition to market is in need of empirical tools for assessing the impact of alternative policy options. The econometric means available for such exercise, however, are limited for lack of data and structural breaks in economic behaviour. Synthetic, partial equilibrium, multi-market models offer a potential alternative. Such models have been used extensively, even in advanced economies, to offer valuable insights on the impact of alternative policy options. This paper shows the use of such a partial equilibrium, multi-market, synthetic-type model as a tool for agricultural policy analysis in a country in transition. The model is applied for Albania, a predominantly agricultural country that, after a period of centralism and autarky, aims to re-join the international economic system. The model, albeit its many limitations, offers some useful insights on the impact of alternative options available for agricultural price and trade policy.
Reforming Planned Economies in an Integrating World Economy
The still chaotic states of the former Soviet Union, a growing China, and the divergent nations of Eastern Europe are striving to radically transform their economies. In their quest to become more integrated with the global economy, they are making historic changes to move toward market-based, private-enterprise systems. In this book, Barry P. Bosworth and Gur Ofer provide a balanced assessment of the progress of integration among the formerly centrally planned economies. So far, the results of the reform process range from amazing success in China to economic and political disarray in the states of the former Soviet Union. The authors outline the key issues that any successful reform program must address and the sequence in which these reforms should take place. A volume of Brookings' Integrating National Economies Series
CMEOC—An expert system in the coal mining industry
Abstract This paper introduces an expert system in the mining industry, called the Coal Mining Expert and Optimization Consultation System (CMEOC). The paper mainly describes the architecture of this system, including the knowledge base, inference engine, and relevant optimization techniques. The techniques include multi-objective programming, fuzzy sets, and integer programming. The application results present evidence of the usefulness of the system.