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In Belgium, the Law on Fiscal and Social Greening of Mobility of 25 November 2021 eliminates corporate tax deductibility for all company cars except those with zero CO2 emissions. The main effect of the tax reform is an accelerated electrification of the company car fleet and an accelerated decline in CO2 emissions. Compared to the no-reform scenario, the reform leads to an increase in net tax revenues of about 1 billion euro on an annual basis.
In the context of the significant increase in the number of beneficiaries of the health and disability insurance observed over the last 20 years in Belgium, we seek to develop an explanatory model for work incapacity and disability. On the basis of SILC data, we attempt to identify and prioritise the effects of different factors that may influence the probability of employees' transitions between socio-economic statutes, and in particular to and from primary incapacity and disability.
The new Belgian CAr Stock MOdel, which is linked to the national transport demand model PLANET, is structured as follows: (a) The total desired car stock in each future year is a function of the country’s population and GDP per capita. (b) The probability that a car is scrapped is modelled as a function of its age and accumulated mileage. The desired car stock is then confronted with the remaining car stock to determine total car purchases. (c) Total sales are allocated to individual emission classes, using the parameter values of a Stated Preference discrete choice model. The model is then calibrated in order to reflect the current market and policy context in Belgium (d) The results are mapped into an inventory that is aggregated according to the EURO emission class. (e) In order to represent that the non-price barriers to electrified cars will decrease over time, we have implemented an alternative approach where the perceived acquisition costs decrease over time. Alternatively, this approach can be used to explore what would be the required decrease in subjective costs to reach a given future market share.
Transport models used for long-term projections should reflect the impact of shared, automated and electric mobility modes. The objective of the current paper is to derive lessons from the existing literature on vehicle ownership modelling to find options to further improve the PLANET model, which is used for projections of transport demand in Belgium.
PLANET is already well equipped to represent the impacts of shared and automated cars on the opportunity cost of travel time, the load factors and the annual mileage of cars.