Plenary 4: Student Research Presentation(Eng) 2020-11-27조회수:230
Plenary4: Student Research Presentation
- Eom, Jiyong (Head of KAIST Graduate School of Green Growth)
- Sim, Jaeung (KAIST College of Business)
- Lee, Minhyung (KAIST College of Business)
- Lee, Myeonghun (KAIST College of Business)
- Lee, Yonjung (KAIST Graduate School of Green Growth)
Mr Sim Jaeung’s research is about the effectiveness of smart metering technology in reducing the dissonance of consumers and facilitating effective energy use behavior. His research is an empirical study based on the United Kingdom’s national rollout case. His main methodology is survey. The survey data used was the data presented by the UK government. His research found that citizens’ occasional monitoring improves energy use behavior, but checking them daily didn’t contribute to improved energy usage.
So can we say that people are already doing what they can do? This would message the policy makers to be very careful when devising energy consumption policies.
Yes, so energy conscious consumers are doing what they can. So policymakers should consider the costs and benefits of the SMT in order to achieve maximum CO2 reduction.
Mr. Lee Meyonhun’s research is about finding out the optimal subsidy level for innovative technology market. He classifies the subsidy into R&D subsidy and Purchase subsidy and aims to find out what is the adequate split between these two, what is the adequate level of purchase subsidy over time, and what is the effect of technology spillover on the subsidies? His finding was that it was optimal to subsidize R&D when there is less budget, while purchase subsidy is more optimal when the budget is sufficient. Secondly, he found that it is optimal for government to provide larger subsidy when the market is small. Finally, he also found that spillover and subsidy doesn’t have a strong correlation.
In regards to the optimal subsidy changes over time, how does your finding distinguish from previous studies?
I studied the interaction between the market spillover and subsidies. Although it is commonly known that it is better to subsidize earlier on in the market, my study sheds light on the new finding that when there is a high government subsidy, companies might not invest as much even in the early stage of the market.
Mr. Lee Minhyung’s research is about the impact of bicycle-sharing service on revitalization of the local market economy. He did a direct empirical study based on the Korean bicycle sharing system, comparing the communities with and without the bicycle sharing system. His findings found that it had different impacts based on age and gender, and industry types. Based on these findings, he concluded that there is a casual relationship between bicycle-sharing and average sales increase in local market areas.
Ms Lee Yonjung’s research is about the analyzing the efficiency of current climate change adaptation ODA allocation. Based on her literature review, she found out that ODA allocation amounts did not have a strong correlation with the country’s vulnerability to climate change risks. In order to account for the limitations found in her literature review, she will account for the aid activities during a larger period than previous literatures (from 2010-2019), and use multiple more applicable indexes than the GDP factor as proxeis for measuring adaptive capacity of a country. She will mainly use a multiple regression analysis method to conduct her research.
Do you have any plan to incorporate sensitivity to climate risks into your regression model?
I will take that into mind as well. I also wanted to take resilience into account, but I couldn’t find the adequate data relating to the measurement of climate resilience. I will take your recommendation into account in my further research.
(From Sim Jaeung to Lee Myeonghun):
In contexts like the EV industry, subsidy is not only provided to RnD and purchase actions, but is also provided in making infrastructures, such as charging stations. What do you expect will be the impact of such subsidies in your research results?
Charging station and purchase subsidy can both be classified as purchase subsidy in my study. I think charging station subsidy will act similarly to direct purchase subsidies, since that impacts the consumer side as well.
Another way of analyzing the impact of the charging stations may be to look at the numbers and frequency of charging stations, and the difference they make in the results as well.
(From Lee Yonjung to Lee Myunghun)
Would the results of your study change if smart meters becomes a default?
I contacted the UK government but, they wouldn’t provide the regional data. In my model, the indication of rural or urban environment was distinguished, but there wasn’t much difference.
(From the floor to Lee Minhyung)
Why do you think bike-sharing had a greater uptake for men than women?
Maybe it was because of the big size of the bicycle, or another reason is that male customers used to ride more bicycles in teenage years compared to women.
(From Lee Minhyung to lee Myunghun):
Financial incentive or pricing is very important for energy usage control. Did you consider this factor in your research?
The dataset I used was actually constructed to measure people’s attitude not just about the smart meters. I will be receiving another dataset from US, and with this, I think I might be able to consider the impact of financial incentives in analyzing this new data.
(From Lee Myunghun to Lee Minhyung)
Does bicycle usage reduce Co2 emission or electricity usage?
I didn’t research that myself, but previous researchers have found that bicycle usage reduces CO2 emissions and traffic congestion.