This study investigates fluctuations of construction output, and growth of the output in Kenya. Fluctuation and growth of construction activity are matters of concern in construction industries of many countries in the developing as well as in the developed world. The construction industry of Kenya is therefore an exemplifying case for this phenomenon. Construction activity in Kenya fluctuates excessively and grows very slowly. This remains a big challenge to policy makers, developers, consultants and contractors in their decision-making processes. In this study, systems thinking was applied to investigate the problem of excessive fluctuations and stunted growth of construction output in Kenya. The study developed a system dynamics model to simulate the construction output problem behaviour. The historical behaviour of the construction industry was described using construction output data of a 40-year period - from 1964 to 2003. Line graphs of the historical data exhibited profiles that helped to identify the system archetypes operating in the industry. From the profiles, it was deduced that the problem of fluctuations and slow growth of construction output in Kenya is encapsulated in two system archetypes, namely: balancing process with a delay, and limits to growth. The relationship between construction output and its determinant factors from the constru ction industry's environment was investigated using time series regression, which involved autoregressive integrated moving average (ARIMA) regression and multiple regression modelling of the output. On the basis of the historical data analysis and the system archetypes identified, a system dynamics (SD) model was developed to replicate the problem of fluctuations and slow growth in the construction output. The data used to develop the system dynamics model was annual construction output in Kenya from 1964 to 2003. The model was then used: to appraise policy changes suggested by construction industry participants in Kenya, and to project construction output in Kenya from year 2004 to year 2050, in order to establish the expected future fluctuations and growth trends of the construction output. It was observed that three fundamental changes are necessary in the system structure of the construction industry of Kenya, in order to minimize fluctuations and foster growth in construction output in the country, in the long run. The changes are: setting long-term targets of annual construction output in the industry as a whole, incorporating reserve capacity in the production process, and expanding the system st ructure to capture a larger construction market. The study recommends regulation of the response of the construction industry of Kenya to changes in construction demand in the market, and expansion of the construction industry's market into the African region and beyond.

Zugl. Diss. Bern. / Ed. commerciale de la thèse de Berne. Avec un résumé en français. Literaturverz.: S. 131-133.

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"The Strengths and Limitations of Input-Output Analysis in Evaluating Fiscal Policy" by Bc. Lenka Liskova Abstract: The thesis addresses the recent debates on suitable macroeconomic policy and calls for an alternative evaluation and forecasting method of economic impact, by assessing the applicability of Leontief's input- output model. We concentrate on providing an insight into the entire process of input-output analysis, which yields computation of simple input-output multipliers - output, gross value added and income multi- pliers. Thanks to the ability to capture linkages in the economy, com- puted multipliers are used as a tool to evaluate the effects of vehicle scrappage schemes and ICT infrastructure investment subsidies applied within a sample of diverse developed countries - Australia, Germany, Japan, UK and USA. We also aim to provide a sufficient explanation of the input-output model and a computation manual based on the example of the Leontief open model and calculation of simple multipli- ers. In our research, we numerically evaluate the effects of fiscal stim- ulus measures in the automobile industry and ICT sector and provide their comparison among 5 countries with different industry structures. Most importantly, the thesis provides a suggestion for policy makers to consider applying input-output...

This study set out to investigate the relationship between returns in the residential property markets and two key economic variables of output and interest rates. The main focus was on the short-term rates path and how it is influenced by the Taylor rule fundamentals and in turn, its effect on the returns in the property markets within the developing countries of South Africa, Bulgaria, Lithuania and Czech Republic. A secondary focus was on building a model that can be further developed into a full forecasting model of returns in the residential property markets. Output was found to be a strong driver of returns in the residential property markets across all four countries. Real changes in the economic activity feed into the residential property markets and drives returns. Output can be incorporated into a forecasting framework for returns in the residential property markets within these countries The short-term rate paths within the countries studied were found to be consistent with the Taylor rule but with heavy short run deviations from the rule. Short-term rates deviated from the rule in the short run, but showed a tendency to revert to the rule in subsequent periods. Returns and prices in the property markets were driven by the short-term rates only in two of the emerging markets. For these countries, this link between rate and returns mean there was also a link between monetary policy and returns in the property sector. Similar to the Taylor rule process, property returns in the two emerging markets were found to have short run deviations which could not be explained by interest rates and output. For the purposes of building a fully fledged forecasting model, this model must be expanded to include other explanatory factors. Adding the risk premium as an explanatory variable could be the starting point.