Planning Methods Brief Essay examples -- Business, Public Policy

The recently introduced Local Enterprise Partnerships (LEPs) should be meticulous in identifying barriers that impede growth in local anesthetic and regional economies and subsequently apply the necessary strategic planning policies to overcome socio-economic issues. Relative to this, the specific focus of the following briefing paper analyses the methodological locomote required by the policy makers in the Greater Birmingham and Solihull LEP to assess current issues correctly in order to apply appropriate strategic policy action. In addition, the report clarifies the possible indicators that provide an outline of socio-economic conditions in the LEP, as a parallel, recommendation on reliable data sources leave behind be provided. Important enquiries will be made in regards to monitoring and measurement of indicators for future planning system in the LEP. Currently the necessity to measure the outcomes resulting from data research at bottom spatial policy is absent from the exist ing local Government Performance Framework (RTPI.org.uk). Significantly, the spatial planning system requires the development plan and core strategy be created on a robust credible evidence base. Methodology Recommendations for the development indicators, research and analysis.RationaleThe fundamental reasons of analysing indicators is to explore their patterns of spatial distribution and to wonder the degree to which there is measurable co-variation and interactive effect across different issues of the phenomenon studied (Wong 2006). Such analysis is generally guided by existing theories on the relationship between different factors or variables. There atomic number 18 however, major difficulties when connecting independent variables and the measurement of these variables in p... ...d for each listing the size of the dwelling house (in neat feet), the number of bedrooms, the average income in the respective neighborhood according to census data, and a subjective rating of appe al of the house. Once this information has been compiled for various houses it would be interesting to see whether and how these measures relate to the price for which a house is sold. For example, you might learn that the number of bedrooms is a better predictor of the price for which a house sells in a particular neighborhood than how pretty the house is (subjective rating). You may also detect outliers, that is, houses that should really sell for more, given their location and characteristics. However, there are negatives in using the regression model for prediction, for example it makes the assumption that the current model remains valid for the predicted observations.