Stabilizing pollution levels in the long run is a pre-requisite for sustainable growth. We develop a neoclassical growth model with endogenous emission reduction predicting that, along optimal sustainable paths, pollution growth rates are (i) positively related to output growth (scale effect) and (ii) negatively related to emission levels (defensive effect). This dynamic law reduces to a convergence equation that is empirically tested for two major and regulated air pollutants – sulfur oxides and nitrogen oxides – with a panel of 25 European countries spanning the years 1980–2005. Traditional parametric models are rejected by the data. More flexible regression techniques confirm the existence of both the scale and the defensive effect, supporting the model predictions

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Environmental Kuznets Curve, Air pollutants, Non/Semiparametric estimations, Poolability tests, C14, C23, O40, Q53,

This paper analyzes rivalry between transport facilities in a model that includes two sources of horizontal differentiation: geographical space and departure time. We explore how both sources influence facility fees and the price of the service offered by downstream carriers. Travellers' costs include a fare, a transportation cost to the facility and a schedule delay cost, which captures the monetary cost of departing earlier or later than desired. One carrier operates at each facility and schedules a single departure time. The interactions in the facility-carrier model are represented as a sequential three-stage game in fees, times and fares with simultaneous choices at each stage. We find that duopolistic competition leads to an identical departure time across carriers when their operational cost does not vary with the time of day, but generally leads to distinct service times when this cost is time dependent. When a facility possesses a location advantage, it can set a higher fee and its downstream carrier can charge a higher fare. Departure time differentiation allows the facilities and their carrier to compete along an additional differentiation dimension that can reduce or strengthen the advantage in location. By incorporating the downstream carriers into the analysis, we also find that a higher per passenger commercial revenue at one facility induces a lower fee charged by both facilities to their carrier and a lower fare charged by both carriers at their departure facility, while a lower marginal operational cost for one carrier implies a higher fee at its departure facility, a lower fee at the other facility served by the rival carrier and a lower fare at both facilities.

No abstract

In this paper, we examine the heterogeneity in gasoline demand price and income elasticities across 40 cities in the province of Quebec Canada using quarterly data over the 2004 to 2009 period. We reject the hypothesis of identical elasticities across markets. However, the range of values for the price elasticity, between-0.65 and-0.14, is relatively narrow and confirms that the demand for gasoline is price inelastic. We find evidence that the average price and income elasticity is somewhat larger in markets with public transportation. Furthermore, these markets experience a strong declining trend in gasoline use per capita.

This paper analyzes rivalry between transport facilities in a model that includes two sources of horizontal differentiation: geographical space and departure time. We explore how both sources influence facility fees and the price of the service offered by downstream carriers. Travellers' costs include a fare, a transportation cost to the facility and a schedule delay cost, which captures the monetary cost of departing earlier or later than desired. One carrier operates at each facility and schedules a single departure time. The interactions in the facility-carrier model are represented as a sequential three-stage game in fees, times and fares with simultaneous choices at each stage. We find that duopolistic competition leads to an identical departure time across carriers when their operational cost does not vary with the time of day, but generally leads to distinct service times when this cost is time dependent. When a facility possesses a location advantage, it can set a higher fee and its downstream carrier can charge a higher fare. Departure time differentiation allows the facilities and their carrier to compete along an additional differentiation dimension that can reduce or strengthen the advantage in location. By incorporating the downstream carriers into the analysis, we also find that a higher per passenger commercial revenue at one facility induces a lower fee charged by both facilities to their carrier and a lower fare charged by both carriers at their departure facility, while a lower marginal operational cost for one carrier implies a higher fee at its departure facility, a lower fee at the other facility served by the rival carrier and a lower fare at both facilities.