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Item Restricted The effect of domestic petroleum price movements on pollution from transportation using uber movement data(2017) Cleto, Marianne Ruth L. ; Morada, Anna Theresa L. ; Jandoc, Karl Robert L.The Philippines is currently experiencing rapid economic growth leading to worsening travel time and a concomitant increase in air pollution. Literature on developed countries show that drivers have high price elasticities when oil prices increase due to an increase in tax causing an adjustment on consumer decisions and may imply an even greater long-run effect on traffic congestion and air quality. The study employs a two- stage regression model to illustrate the effect of domestic oil prices on the average travel speed of vehicles and consequently on Total Suspended Particle (TSP) concentrate. The results show that imposing a 10 peso-tax increase on petroleum products such as gasoline as proposed by the Tax Reform for Acceleration and Inclusion (TRAIN) Bill positively affects average travel speed by 2.1 km/hr and negatively affects TSP concentrate levels by more than 15 μg/Ncm. Thus, justifying the environmental context behind the TRAIN bill to internalize pollution caused by transportation.Item Restricted Who will be on board the TRAIN to Inclusive Growth? an economic analysis on the impact of tax reform in the Philippines(2018-12) Carabio, Sheridan Lance A. ; Gonzales, Grace Mabel M.Z. ; Solon, Orville Jose C. ; Quimbo, Stella Luz A.This paper investigates the impact of the provisions of the new tax system brought by TRAIN Law Package 1 on household consumption across income deciles in the Philippines. Using the demand function and Log-Log Regression, we estimate the income and price elasticities of demand for rice, meat, fish, vegetables, and fruit commodities across all income deciles. These elasticities were further used to simulate changes in the dependent variable – the quantity of each commodity due to price and income. The simulation results show that on average, all commodities across income deciles show a negative percentage change in quantities consumed taking into account effects both due to income and indirect taxation. The first income decile shows the lowest coefficient relative to the highest income decile with -23.56 percent for rice, -22.49 percent for meat, -15.07 percent for vegetables, and -12 percent for fruits. For the fish section, the largest forecasted decrease in quantity consumed per household, relative to the tenth decile, is reflected in the fourth decile at 18.98 percent. However, the first decile still exhibits a significantly large reduction in quantity at 11.15 percent. This implies that all income deciles are expected to lose from the new tax system, with the lower income deciles to lose more, and the lowest income decile to lose the most.