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To meet international efforts to prevent climate change, the South Korean government is seeking to transform its main power source from coal to natural gas (NG), which emits less carbon dioxide (CO2) than coal. The government needs information about public preferences for increasing NG-fired generation. Therefore, the purpose of this paper is to provide the government with this information by gathering the data on public preferences for increasing NG-fired generation for reducing CO2 emissions, analyzing these data, and obtaining the implications from the analysis. To this end, a survey of 1000 people, after explaining the merits and demerits of NG-fired power, were asked to determine the proper ratio of NG-fired generation by choosing one of six examples: lower than 10%, 10%–20%, 20%–30%, 30%–40%, 40%–50%, and higher than 50%. An interval data model was employed to deal with the data. The average value of the ratio was estimated to be 26.7% with statistical significance, which is greater than the actual value of 22.2% from 2017. Finally, whether and how much some variables such as education level, age, gender, and income level of the respondent affected their preferences for NG-fired generation were investigated.

Abstract The oil industry has played an important role in the economic development of Korea, but recent skyrocketing oil prices are likely to stunt the Korean economy and prevent it from advancing in the long run. This article attempts to apply input-output (I-O) analysis to investigate the role of the oil industry in the Korean national economy. A static I-O framework is employed, focusing on three topics in its application: the impact of oil supply investment on the production of other sectors and the inter-industry linkage effect; the oil supply shortage effect; and the impact of the rise in oil rate on prices of other products. This article pays particular attention to the oil industry sector by taking the sector as exogenous and then investigating its economic impacts. Moreover, potential uses of the results are illustrated from the perspective of policy instruments and some policy implications are discussed.

The South Korean government intends to construct interactive charging stations (ICSs) for a vehicle to grid (V2G) system that uses electric vehicles as a type of energy storage system. This article employs contingent valuation (CV) to examine households’ willingness to pay (WTP) to construct the ICSs. To this end, a CV survey of 1000 people was performed using the one-and-one-half-bound dichotomous choice questioning as the elicitation method for the WTP. To check if the response effect incurred by the questioning exists, a single-bound model, which partly uses the responses from the questioning, was also applied. Furthermore, a spike model which can model WTP observations with lots of zeros was adopted. The single-bound spike model, finally chosen for further analysis, produced some results securing statistical significance. The average household WTP is estimated as KRW 4017 (USD 3.51) per annum. A national version of the yearly WTP is derived as KRW 85.48 billion (USD 74.65 million). Considering that the occurrence period of the annual WTP is 10 years, the total present value as of the end of 2022 is computed as KRW 676.4 billion (USD 590.7 million). This study has significance in two aspects. First, quantitative information on household WTP is explicitly provided. Second, to the best of the authors’ knowledge, the household WTP is empirically dealt with for the first time in the literature. In addition, the implications of this value from a policy perspective, as well as four challenges to be solved for constructing ICSs for a V2G system, are discussed.

Abstract Bioethanol (BE), a renewable energy, is well-known to mitigate the greenhouse gas emissions compared with conventional gasoline. Thus, the Korean government is considering the introduction of a BE mandate in which the legal blend is 5% BE and 95% gasoline (E5) until 2020 in order to expand BE use. We should examine the public acceptability of the introduction, which incurs a rise in the fuel price. This study attempts to assess the public's willingness to pay (WTP) a premium for introducing the E5 program in Korea. To this end, a contingent valuation (CV) survey of 1000 randomly selected consumers was conducted in 2014 across the nation. We used a one-and-one-half-bound dichotomous choice question in the CV survey and applied the spike model to handle the WTP data with zeros. The mean WTP, a premium for the E5 per liter, is estimated to be KRW 290 (USD 0.27), which is statistically meaningful at the 1% level. This value amounts to 15.6% of the gasoline retail price in 2014 (KRW 1856 or USD 1.70) and can be interpreted as the external benefit of BE. We can conclude that gasoline consumers in Korea are ready to pay a significant premium for the E5.

Abstract Air-conditioning and heating energy-saving measures can cut back the usage of energy. This paper attempts to apply a choice experiment in evaluating the consumer's willingness to pay (WTP) for air-conditioning and heating energy-saving measures in Korea's residential buildings. We consider the trade-offs between price and three attributes of energy-saving (window, facade, and ventilation) for selecting a preferred alternative and derive the marginal WTP (MWTP) estimate for each attribute. We also try to test irrelevant alternatives property for the estimation model holds and compare the estimation results of the multinomial logit (MNL) and the nested logit (NL) models. The NL model outperforms the MNL model. The NL model show that MWTPs for increasing the number of glasses and their variety, for increasing the thickness of facade for 1 mm, and for establishing a ventilation system are KRW 17,392 (USD 18.2), 1,112 (1.2), and 11,827 (12.4), respectively. Overall, the potential consumers have significant amount of WTP.

Asian dust (AD), a seasonal phenomenon in East Asia, refers to dust winds that blow from inland China and the Gobi Desert. Generally, AD occurs in the spring, but due to climate change and the desertification of AD sources, it has recently started occurring in every season except for midsummer. The occurrence of AD adversely affects human health and damages various industries. Accordingly, the Korean Meteorological Administration has provided an AD forecast service to minimize damage. The most essential part of providing the AD forecast service is the Asian Dust Aerosol Model (ADAM). This study tries to provide useful information for policymaking and research and development by deriving the economic value of ADAM improvement. To this end, a choice experiment (CE) was applied. The CE can derive the marginal value of or the marginal willingness to pay (MWTP) of improvement in attribute. All the MWTP estimates obtained in this study were statistically significant. The household MWTP estimates for a 1% improvement in ADAM accuracy and a one-level subdividing were obtained as USD 0.04 and USD 0.12 per household. This finding indicates that people have a greater preference for improving AD forecast segmentation than for improving ADAM accuracy.

This paper attempts to investigate the short- and long-run causality issues among oil consumption, CO2 emissions, and economic growth in the Philippines by using time series techniques and annual data for the period 1965–2012. Tests for unit root, co-integration, and Granger-causality tests based on an error-correction model are presented. Three important findings emerge from the investigation. First, there is bi-directional causality between oil consumption and economic growth, which suggests that the Philippines should endeavor to overcome the constraints on oil consumption to achieve economic growth. Second, bi-directional causality between oil consumption and CO2 emissions is found, which implies that the Philippines needs to improve efficiency in oil consumption in order not to increase CO2 emissions. Third, uni-directional causality running from CO2 emissions to economic growth is detected, which means that growth can continue without increasing CO2 emissions.

Abstract Electricity has been the foundation of economic growth, and constitutes one of the vital infra-structural inputs in socio-economic development. The world faces a surge in demand for electricity that is driven by such powerful forces as population growth, extensive urbanization, industrialization, and the rise in the standard of living. This paper attempts to ascertain whether there is a systematic relationship between electricity consumption and economic growth. To this end, we use a large set of data that spans 88 countries during the period, 1975–2004. A statistically significant inverted-U-shaped relationship between per-capita consumption of electricity and per-capita income is detected. Nevertheless, by using a purchasing power parity that is much higher than the per-capita income of all the countries in the world, the level of per-capita income is estimated at the peak point of per-capita electricity consumption to be $61,379 in 2000 constant international dollars. Moreover, we segment the sample into Organization for Economic Cooperation and Development (OECD) countries and non-OECD countries, and separately analyze the developed and developing countries. The separate estimation shows that even though the peak income is higher than the average per-capita income, a statistically significant inverted-U-shaped relationship is found in OECD and developed countries but not in non-OECD and developing countries.

Abstract This paper investigates the short- and long-run causality issues between electricity consumption and economic growth in Korea by using the co-integration and error-correction models. It employs annual data covering the period 1970–2002. The overall results show that there exists bi-directional causality between electricity consumption and economic growth. This means that an increase in electricity consumption directly affects economic growth and that economic growth also stimulates further electricity consumption.