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Measuring The Long-Term Regional Economic Impacts of High-Speed Rail in China Using a Dynami




                       3.   Modeling for Rail Infrastructure Development


                   Our  study  fills  these  gaps  by  developing  a  comprehensive  modeling  framework  for  the
                   assessment of rail infrastructure development using a dynamic SCGE model. The framework
                   was expanded based on a modeling structure that outlined in Chen et al. (2016). As illustrated
                   in Table 3, regional economic impacts of rail infrastructure development using a SCGE model
                   can be derived from various direct impact drivers from in three categories: including land use
                   effect, output stimulus effect and demand effect.

                   Specifically, land use effect can be further divided into direct land use effect, which refers to
                   land use and acquisitions for direct infrastructure development purposes, such as converting
                   arable land for the constructions of rail tracks, stations and facility centers. The other type
                   of land use effect refers to extended land use activities as a results of rail development. For
                   instance, the construction of a HSR may lead to a prosperous development of real estate around
                   those new built HSR stations. These development is likely to have a further negative impacts
                   on agricultural sectors due to the fact that reduction of arable land for urban development.
                   From the perspective of CGE applicability, both land use effects can be modeled through a
                   factor input shock and considered as short-term effect, meaning that the effects are achieved
                   immediately once the shock is added to a regional economic system.
                   The second category of effect is the stimulus to output expansion as a result of an increase
                   in  infrastructure  investment.  Specifically,  the  stimulus  effect  includes  a  direct  output
                   expansion,  an extended  output  expansion,  a  cost  reduction  and the  direct  and  extended
                   productivity increases. A direct output expansion refers to gross output growth among rail
                   related sectors, such as transport equipment and manufacturing and rail transport, due to
                   the rise in capital input among these sectors. Conversely, an indirect output expansion refers
                   to a growth of output among rail related sectors, primarily those tertiary sectors such as
                   tourism sector. One major difference between these two effects is that the former should be
                   considered as a shortterm effect as the regional economic impacts are generally achieved
                   during infrastructure construction period, whereas the impacts of the latter effect cannot be
                   materialized in a relatively longer-term after the completion of the infrastructure system.

                   The effect of cost reduction is self-explained. It is generally modeled through a transportation
                   margin shock in CGE analysis and it should only be considered as a long-term effect as the
                   benefits such as transport cost reduction and travel time savings cannot be achieved until the
                   operation of the new developed rail system. Similarly, both productivity effects are considered
                   as indirect and long-term economic benefits of rail infrastructure development because these
                   effects are only enable after a new system being deployed.

                   The third category of effect is derived from the rail transport demand change as a result
                   of the operation of a new rail infrastructure system. Such an effect can be modeled in two
                   aspects. First, the deployment of a new HSR line, for instance, may lead to a demand change
                   due  to  substitution  among  different  transportation  modes. Although  CGE  model  generally
                   captures inherent substitution through nesting structures of production activities, the
                   adaptive substitution as a response to an introduction of a new transport service has to be
                   modeled explicitly through adjusting relevant elasticity parameters. The second aspect of
                   demand change comes from the induced demand. It is modeled through a sectoral output
                   shock instead as the effect is generated from rail transport sector itself. Understandably, the
                   demand effect is considered to have indirect and long-term impacts on regional economic
                   growth since such an effect is only available after the infrastructure reaches an operating
                   stage.





                   International Congress on High-speed Rail: Technologies and Long Term Impacts - Ciudad Real (Spain) - 25th anniversary Madrid-Sevilla corridor  393
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