2 resultados para Organizational forecasting

em Academic Research Repository at Institute of Developing Economies


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The importance of organizing local people for development work is widely recognized. Both governmental and non-governmental agencies have implemented various projects that have needed and encouraged collective action by people. Often, however, such projects malfunction after the outside agencies retreat from the project site, suggesting that making organizations is not the same as making a system of making organizations. The latter is essential to make rural organizations self-reliant and sustainable. This paper assumes that such a system exists in local societies and focuses on the capacity of local societies for creating and managing organizations for development. It reveals that (1) such capability differs according to the locality, (2) the difference depends on the structure of the organizations that coordinate people's social relations, and (3) the local administrative bodies define, at least partly, the organizational capability of local societies. We compare two rural societies, one in Thailand and the other in the Philippines, which show clear contrasts in both the form of microfinance organizations and the way of making these organizations.

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Forecasting tourism demand is crucial for management decisions in the tourism sector. Estimating a vector autoregressive (VAR) model for monthly visitor arrivals disaggregated by three entry points in Cambodia for the years 2006–2015, I forecast the number of arrivals for years 2016 and 2017. The results show that the VAR model fits well with the data on visitor arrivals for each entry point. Ex post forecasting shows that the forecasts closely match the observed data for visitor arrivals, thereby supporting the forecasting accuracy of the VAR model. Visitor arrivals to Siem Reap and Phnom Penh airports are forecast to increase steadily in future periods, with varying fluctuations across months and origin countries of foreign tourists.