An integrated forecasting system for the St. John's Census Metropolitan Area, Newfoundland

• Main Author: Deng, William (Wenxiong)
• Format: Thesis
• Language: English
• Published: Memorial University of Newfoundland 1996
• Subjects: Newfoundland
• Online Access: https://research.library.mun.ca/733/; https://research.library.mun.ca/733/1/Deng_WilliamW.pdf; https://research.library.mun.ca/733/3/Deng_WilliamW.pdf

The objective of this thesis is to construct and evaluate a regional Integrated Forecasting System (IFS) using the St John's, Newfoundland, Census Metropolitan Area (CMA) as a case study area. The purpose of an IFS is to model the relationships among a number of key variables (e.g. population, employment and housing) which are central to the planning process for any area. Demographic characteristics, for example, are important factors in the need or ability to attract employment and the demand and supply of housing. At the same time, new employment opportunities may result in in-migration or reduce out-migration. Furthermore, lack of available housing may act as a constraint on in-migration, or new house building may encourage it. These inter-linkages require the development of a forecasting approach which is characterized by common and compatible supply-demand assumptions for the key variables and an explicit consideration of the relationships among them. The product from this thesis is such a forecasting model. To demonstrate the capabilities of the IFS, the potential impacts of the Hibernia offshore oil project on selected socio-economic activities in the St. John's Census Metropolitan Area (CMA) are examined as a case study. -- Chapters I and II of the thesis provide a background to the work, describing the St. John's CMA study area, the recent economic development history of the St. John's region and Newfoundland, and reviewing the literature on integrated forecasting systems. -- The structure and evaluation of the model and data are described in Chapter III. The overall design of the IFS follows the basic format of models developed for the Gloucestershire and Grampian regions in the United Kingdom. The IFS is basically a recursive rather than a simultaneous model. This model consists of five interacting blocks: labour demand, labour supply, migration and household formation, housing demand and housing supply. A series of tests are applied to each regression equation (R2. standard error of estimate ...