China and India are two of the world's largest automotive markets and carbon emitters, as well as the most populous developing economies. To reduce carbon emissions from passenger cars, both countries have considered various policy levers affecting fuel prices, car prices, and fuel economy. This study aims to estimate the responsiveness of new car buyers in China and India to such policy levers and drivers, including income. Additionally, it estimates the potential for rebound effect and evaluates the effectiveness of a feebate policy. The study developed a joint discrete-continuous model of car choice and usage based on revealed preference survey data from approximately 8,000 new car buyers who purchased cars in 2016-17 in both countries. The results show that conditional on buying a new car, fuel consumption in both markets is relatively unresponsive to fuel price and income, with magnitudes of elasticity estimates ranging from 0.12 to 0.15. For both markets, the mean segment-level direct elasticities of fuel consumption relative to car price and fuel economy range from 0.57 to 0.65. The rebound effect on fuel savings due to cost-free fuel economy improvement is found to be 17.1% for India and 18.8% for China. A revenue-neutral feebate policy with average rebates and fees of up to around 15% of the retail price resulted in fuel savings of around 0.7% for both markets. However, while the feebate policy's rebound effect is low - at only 7.3% for India and 1.6% for China - it does not appear to be an effective fuel conservation policy.
China and India are big countries that have lots of cars and produce a lot of pollution. They want to make rules to help reduce the pollution from cars. A study was done to see how people in China and India would react if they made rules about how much fuel cars can use, how much they cost, and how much gas costs. The study looked at data from 8,000 people who bought new cars in those countries in 2016-17. The study found that people in those countries don't really change their driving habits or buy more fuel-efficient cars when gas prices go up or down. The study also looked at a policy where the government gives money back to people who buy fuel-efficient cars but charges more for less efficient ones. This policy didn't work very well because it only saved a little bit of fuel and didn't really change people's behavior.
Definitions
- Automotive markets: places where lots of cars are bought and sold
- Carbon emitters: things that release carbon dioxide into the air (which can cause pollution)
- Policy levers: ways for governments to influence people's behavior through laws or incentives
- Elasticity estimates: measures of how much one thing changes when something else changes (e.g., how much car sales change when gas prices go up)
- Rebound effect: when a policy meant to save energy actually leads people to use more energy than before
- Feebate policy: a policy where the government gives money back to people who buy environmentally-friendly
China and India: Reducing Carbon Emissions from Passenger Cars
The automotive industry is one of the largest contributors to carbon emissions in the world. China and India are two of the biggest markets for cars, as well as two of the most populous developing economies. To reduce carbon emissions from passenger cars, both countries have considered various policy levers affecting fuel prices, car prices, and fuel economy. This article will discuss a research paper that aims to estimate the responsiveness of new car buyers in China and India to such policy levers and drivers, including income. Additionally, it estimates the potential for rebound effect and evaluates the effectiveness of a feebate policy.
Background
In recent years, both China and India have taken steps to reduce their dependence on fossil fuels by introducing policies aimed at increasing energy efficiency in vehicles. These include fuel taxes, vehicle registration fees based on engine size or power output (known as “feebates”), subsidies for electric vehicles (EVs) or hybrid cars, higher standards for vehicle emission limits (Euro 5/6), etc. However, there has been limited research into how these policies affect consumer behavior when purchasing new cars in these countries.
Research Methodology
To address this knowledge gap, researchers developed a joint discrete-continuous model of car choice and usage based on revealed preference survey data from approximately 8,000 new car buyers who purchased cars in 2016-17 in both countries. The model was used to estimate consumers' responsiveness to changes in fuel price levels; car prices; fuel economy ratings; income levels; urbanization rates; population density; road infrastructure quality; public transport availability; EV penetration rate etc., with respect to their decisions about buying a new car or not buying one at all. The study also estimated potential rebound effects due to cost-free improvements in fuel economy ratings as well as evaluated the effectiveness of a revenue-neutral feebate policy with average rebates/fees up to 15% of retail price on reducing overall fuel consumption across both markets.
Results
The results show that conditional on buying a new car - i.e., after controlling for other factors like income level -fuel consumption is relatively unresponsive to changes in either fuel price levels or income levels across both markets with magnitudes ranging from 0.12 - 0.15 elasticity estimates respectively . For both markets combined ,the mean segment-level direct elasticities relative to changes in either car prices or fuel economy ratings were found be around 0 .57 – 0 .65 respectively . When evaluating potential rebound effects due cost free improvements made towards improving overall vehicle efficiency , it was found that an improvement made towards improving overall vehicle efficiency resulted into an approximate 17 % reduction within Indian market while 18 % reduction within Chinese market . Finally , when evaluating effectiveness of revenue neutral feebate policy , it was found that such policies could result into an approximate 0 .7 % reduction within total amount consumed by passenger vehicles across both markets however its associated rebound effect was found be quite low at 7 % & 1 .6 % within Indian & Chinese market respectively which suggests that such policies may not be effective enough when attempting conserve total amount consumed by passenger vehicles across both markets .
Conclusion
This study provides valuable insights into how different policy levers can influence consumer behavior when purchasing new cars across two major global automotive markets – China & India – which are also some of the largest emitters globally too ! It shows us how even though consumers may respond positively towards incentives offered through tax breaks / subsidies / fee bates etc but still their response might not necessarily translate into significant reductions being achieved through overall amount consumed by passenger vehicles unless accompanied with other measures like improved public transport facilities / better road infrastructure / increased awareness campaigns etc too !
China and India, the world's two most populous developing economies, are also among the world's largest automotive markets and carbon emitters. To reduce carbon emissions from the passenger car sector, both countries have considered various policy levers affecting fuel prices, car prices and fuel economy. This study estimates the responsiveness of new car buyers in China and India to such policy levers and drivers including income. Furthermore, we estimate the potential for rebound effect and the effectiveness of a feebate policy. To accomplish this, we developed a joint discrete-continuous model of car choice and usage based on revealed preference survey data from approximately 8000 new car buyers from India and China who purchased cars in 2016-17. Conditional on buying a new car, the fuel consumption in both markets is found to be relatively unresponsive to fuel price and income, with magnitudes of elasticity estimates ranging from 0.12 to 0.15. For both markets, the mean segment-level direct elasticities of fuel consumption relative to car price and fuel economy range from 0.57 to 0.65. The rebound effect on fuel savings due to cost-free fuel economy improvement is found to be 17.1% for India and 18.8% for China. A revenue-neutral feebate policy, with average rebates and fees of up to around 15% of the retail price, resulted in fuel savings of around 0.7% for both markets. While the feebate policy's rebound effect is low - 7.3% for India and 1.6% for China - it does not appear to be an effective fuel conservation policy.
