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  • Equal opportunities
    religion and sexual orientation We also do not discriminate against disabled people or ex offenders Our recruitment methods are not discriminatory and our job advertisements refer to our equal opportunities policy We endeavour to support each employee in reaching the maximum level of his or her capacity to contribute to the work of the Company and we make off site training available and provide on site training and advice without

    Original URL path: http://www.camecon.com/AboutUs/origins_ethos/EqualOpportunities.aspx (2016-02-14)
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  • The Local Economy Forecasting Model
    a fully causal transparent modelling framework that enables results to be easily traced back to assumptions see figure below fully specified links to regularly updated authoritative forecasts at the national and regional level easy updating allowing the user to store build on and reassess previous analysis substantial sectoral detail so that projections can be identified closely with major local developments for more information click here substantial labour market detail covering

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/LEFM/features_capabilities.aspx (2016-02-14)
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  • The Local Economy Forecasting Model
    a user to derive projections for local output or employment growth from national or regional projections they offer little scope for introducing an explanation of local performance relative to these higher levels and they are typically not suitable for analysing the indirect effects on the local economy arising from the opening of a new enterprise or the closure of an existing one Figure 1 below summarises the model s accounting structure which follows the social accounting matrix approach adopted in MDM In most cases the variables shown in the diagram are disaggregated eg by sector for output and employment LEFM uses considerable detail LEFM is also distinguished from other approaches by its sectoral detail It identifies 41 sectors defined on SIC03 allowing for example electronics to be distinguished from electrical engineering and computing from other business services Detailed disaggregation by sector is usually valuable because different sectors have different prospects eg technological change is driving much faster changes in electronics and computing than in the other sectors with which they are commonly combined because they have different employment characteristics and also because it allows local knowledge about specific firms to be more easily incorporated in the forecast There is however a cost to working in such detail most variables in the model have to be disaggregated by sector or a similar classification see below for more details LEFM s Main Inputs and Outputs The main input assumptions used in LEFM are forecasts for the UK and region in which the local economy lies for selected variables including the components of domestic final expenditure disaggregated into spending by function as published in the UK National Accounts components of personal incomes gross output value added and employment by 41 sectors matrices to convert the components of domestic final expenditure into commodity demand for 41 sectors input output coefficients and projected changes projected changes in occupational structure and gender forecasts for the local economy population by 5 year age band and gender participation rate by gender for a constant level of unemployment these are then adjusted by the model in response to actual changes in unemployment Outputs for the local economy to 2025 include gross output value added and employment by sector employment by gender and status employment by occupation components of final expenditure exports and imports are treated as to from the local economy personal incomes demographic indicators including unemployment Simulation frameworks LEFM contains a number of simulation modules that complement the core model A feature of all the modules is the facility of the user to customise any assumptions that are used so as to more closely approximate local conditions and to facilitate important sensitivity analysis Impact module This is designed to consider in great detail the impact of a plant opening or closing on the local economy It allows assumptions to be made in great detail as to the precise nature of the local supply links Replacement demand Forecasts of total numbers of people that are expected to be employed

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/LEFM/purpose_design.aspx (2016-02-14)
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  • The Local Economy Forecasting Model
    CE in MDM demand for individual industries structural change population by age and gender activity rates by age and gender labour market dynamics future change in structure of occupations LEFM allows users to examine the impact of alternative national scenarios on the local economy For example a strong sterling scenario can be prepared using MDM to assess the sensitivity of different industries to a high exchange rate To the extent that the local economy has a high representation of vulnerable industries output and employment in these industries will be affected in LEFM The explicit social accounting matrix structure then allows the local multiplier effects to be fully represented with the greatest effects on those industries that appear to depend mainly on local area demand Impact assessments in LEFM One of the purposes for which LEFM has been designed is to construct scenarios for the impact of the opening of a new plant or closure of an existing plant In the case of the opening of a new plant the construction and operation phases are distinguished The software allows for explicit assumptions to be entered for the direct employment impact of the change and suggests default assumptions for productivity to derive

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/LEFM/using_lefm.aspx (2016-02-14)
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  • The Local Economy Forecasting Model
    to encourage them to make requests to ESCC for analysis and scenarios using the model Project Employment Land Review for York Client York City Council Period 2006 CE developed a set of detailed economic forecasts for York using its Local Economy Forecasting Model LEFM to inform this project an employment land review being undertaken by SQW Ltd for York City Council The basic projections from the model were developed by CE in consultation with SQW to take into account growth expected to be generated by Science City York an initiative developed through a partnership between York City Council and the University of York which provides a range of support services to assist in the creation and growth of technology based businesses entrepreneurs and skills development opportunities Project Braintree District Futures 2025 Client Braintree District Council Period 2006 This project undertaken in collaboration with SQW Ltd provided Braintree District Council with a set of economic visions for the district which were used by the council to help determine a new direction and ambition A review of the current position of Braintree was undertaken and then three alternative visions of the future for the district were developed Business as Usual Braintree Providing a Focus on Leisure Heritage and Nature and Braintree Where Ideas Take Shape Descriptions of Braintree district under each of the visions were provided and the visions were quantified using CE s Local Economy Forecasting Model LEFM The visions were presented at a leadership workshop for members of Braintree District Council during which the implications for the different areas of local policy were discussed The results of the workshop were used to develop the council s new economic strategy Project Economic Forecasting for Cardiff Client Cardiff Council Period 2006 Cardiff Council asked CE to provide a review of the prospects for the Cardiff economy to be used by the council in developing its new economic development strategy The council needed to identify which sectors the strategy should target and so CE provided detailed 41 industries economic projections for Cardiff using its Local Economy Forecasting Model LEFM tailored to the Cardiff economy Clearly Cardiff as Wales capital has an important role to play in driving economic growth in South East Wales and Wales as a whole and the new economic development strategy needed to take account of this The key policies from the current local sub national and national economic strategies which will all have an impact on future economic growth were reviewed in the report and conclusions were drawn from these and the economic projections Project Socio Economic Impact Assessment of the Closure of BAT s Production Facilities in Southampton Client Southampton City Council Period 2005 2006 This project undertaken in collaboration with SQW Ltd and BBP Regeneration analysed the socio economic impact of the closure of British American Tobacco s production facilities in Southampton planned to take place over 2006 07 The project looked at the impact on the economy of Southampton and the surrounding area the impact on

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ModellingCapability/LEFM/examples_of_projects_using_lefm.aspx (2016-02-14)
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  • LEP GVA Dashboard
    of data to display Tabling LEPs ranked by GVA per capita or growth in GVA per capita showing the rank for the other components and indices showing the value for GVA per capita and each component relative to the England average The user can select the year of data to display A GVA dashboard with colour coded traffic lights highlighting where GVA per capita and components are higher or lower than the average for England The user can select thresholds for the colour coding for each indicator and the year of data to display Timeseries charts comparing the profile of GVA per capita and its components over time for up to two LEPs compared with the average for England The user can select the LEPs and indicator to display Charts showing the value for GVA per capita and each component for up to two LEPs compared with the average for England The user can select the LEPs and indicator to display A heat map showing the value or growth of GVA per capita and components relative to the England average The user can select the indicator and year to display The LEP GVA Dashboard is free to download without providing

    Original URL path: http://www.camecon.com/SubNational/SubNationalUK/ConsultancyCapability/LEPGVADashboard.aspx (2016-02-14)
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  • Further detail on modelling the link between the economy and the environment in REEIO
    industrial and commercial waste is projected on the basis of each industry s purchases of input products which are in turn determined by the scale of activity in the industry and the structure of its inputs to production Household waste is projected on the basis of population growth and the rate of growth in per capita household waste arisings Associated projections for waste entering the various management routes are produced from the waste arising projections Energy use The use of energy by fuel type is determined on the basis of the scale of activity level of output for industry sectors of the fuel user and the relative price of fuels The energy demands from power generation in the region is considered by explicit assumptions regarding specific plant capacities and utilisation Air emissions The projections for air emissions are determined in two parts The energy related emissions are determined on the basis of energy use by user and fuel Emissions that are not energy related are determined by an appropriate activity indicator Water use Water use is determined by modelling different components of overall demand separately Non household demand is determined by indicators of economic activity in particular industries that allow

    Original URL path: http://www.camecon.com/EnergyEnvironment/EnergyEnvironmentUK/ModellingCapability/Reeio/REEIO_modelling_detail.aspx (2016-02-14)
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  • MDM-E3: Overview
    abatement scenarios defined as take up of measures identified in marginal abatement cost curves MACCs developed by the CCC The work was carried out using CE s integrated Energy Environment Economy model of the UK economy MDM E3 The results were reported by the Committee in its inaugural report Building a low carbon economy the UK s contribution to tackling climate change which was published in December 2008 The CCC commented that CE have a recognised and credible energy projections model which provides a good benchmark to other models notably DECC s We were pleased to receive full detailed results and a well presented final report Evaluations of UK energy and emission targets for 2020 Friends of the Earth In this project CE used the MDM E3 model of the UK to represent a set of policies designed to meet the energy and emissions target set for by 2020 20 renewables target minimum reduction of 26 in CO2 emission and improvement of energy efficiency by 20 The study considered the potential and impact of policies encouraging greater energy efficiency in all sectors of the economy including the residential sector as well as policies promoting greater use of renewable fuels to generate heat and power It also examined the impact of potential reductions in the costs of renewable power generation technologies to reflect induced technology changes that the EU wide target could stimulate and impact of non renewable power on installation of additional renewable capacity The study assessed the impacts on the macroeconomy energy demand prices fuel mix of energy supply and CO2 emissions Macroeconomic Rebound Effect of Energy Efficiency Policies in the UK Economy UK Department for Environment Food and Rural Affairs This project was led by 4CMR Cambridge Centre for Climate Change Mitigation Research in the University of Cambridge with CE responsible for the modelling and scenario analysis Other collaborators were Policy Studies Institute and Dr Horace Herring an independent energy consultant The main objective of the work was to examine the macroeconomic rebound effect on the UK economy from energy efficiency policies and programmes The rebound hypothesis suggests that at the macroeconomic level all energy efficiency measures might be offset in their effects on aggregate energy savings by associated increases in energy demand The study explored the relationships between energy efficiency energy consumption economic growth and policy interventions CE s Energy Environment Economy model of the UK economy MDM E3 was used to model the policy impact building on work undertaken previously to analyse the economic and environmental implications to 2020 of introducing renewable energy combined heat and power CHP and domestic energy efficiency measures CE provided a base case to 2010 and then developed and analysed a set of scenarios to allow the estimation of the rebound effects for final energy demand disaggregated by six MDM fuel using sectors energy intensive industries other industry road transport air transport other final uses commerce etc and households dwellings Analysis to Support a Review of the Likely Effectiveness of the

    Original URL path: http://www.camecon.com/EnergyEnvironment/EnergyEnvironmentUK/ModellingCapability/MDM-E3/MDM-E3_examples.aspx (2016-02-14)
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