• Environmental and Resource Economics Review
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• v.32 no.1
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• pp.27-46
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• 2023

This paper investigates how interfuel substitution affects carbon dioxide (CO₂) emissions with a focus on the use of biodiesel blended fuels. The results show that the Divisia elasticity of diesel demand is the greatest because the transportation sector relies heavily on diesel. Also, while the own-price elasticity of each fuel demand is negative, the results reveal that diesel demand is more inelastic than the demand for gasoline and LPG. Moreover, gasoline is a substitute for diesel and electricity, and diesel is a substitute for LPG and a complement for electricity. Regarding the effects on carbon dioxide emissions, this paper computes the potential CO₂ emissions associated with interfuel substitution using the coefficients of CO₂ emissions. The results show that using biodiesel blended fuels contributes to reducing CO₂ emissions, but it appears that the price-induced interfuel substitution is a main factor affecting CO₂ emissions.

• Management & Information Systems Review
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• v.36 no.2
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• pp.81-92
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• 2017

This study was to investigate the elasticity in tourism demand of Chinese tourists visiting Malaysia through ARDL models by using Chinese tourists arrivals, GDP, CPI, transportation costs and others. When China was implementing an open-door policy with foreign countries in the early 15th century, the movement of Chinese was very limited, and then communication between China and other countries was very weak. However, the Chinese government persistently and entirely implemented an open-door policy by participating in the World Trade Organization(WTO) in 2001. The Chinese government has opened the economy through foreign direct investment by providing various incentives for foreign investment. As a result, inbound and outbound Chinese movements increased in the early 21st century. China was one of the top five most visited tourist destinations in the world by 2016, and also Chinese tourists traveling abroad increased, so they made Malaysia a popular tourists destination because of increase sharply to around 1.41 million. This study examined the significance of major economic factors affecting the increase in Chinese tourists arriving in Malaysia. Other factors that induced their arrival included income, tourism prices, transportation costs and promotional activities. Short-run shocks from the Asian economic crisis and the outbreak of SARS were included to understand how tourism demand in Malaysia was affected. Finally this study found that the combination of the ARDL and the Error Correction Model were useful to statistically estimate the elasticities of tourism demand.