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| 1 |
ID:
149891
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| Summary/Abstract |
This article investigates the long-term energy demand and energy policy measures when undergoing structural changes in energy demand. Initially, the statistical test shows the possibility of the structural change from the late 2000s. Therefore, we developed the energy demand model to forecast the energy demand by 2030 that considers the structural change. The results show that there may be a 12% reduction in the energy demand in 2030 compared to the reference case in the Japanese government's outlook, which is equal to about 86.0% of the effect of the planned policy measures by the government, but also that it is difficult to achieve energy-originated CO2 emissions in the national target. Our analysis suggests that mitigation policies are required, but those in the planned policy measures are not completely required to achieve the goal.
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| 2 |
ID:
150652
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| Summary/Abstract |
Participation in demand response (DR) may affect a consumer's electric consumption pattern through consumption load curtailment, a shift in the consumption timing or increasing the utilization of distributed generation (DG). This paper attempts to provide empirical evidence of DR's effect on DG adoption by household consumers. By using the original Internet survey data of 5442 household respondents in Japan conducted in January 2015, we focus on the effect of the time-of-use (TOU) tariff on the purchasing intention of photovoltaic systems (PV). The empirical results show the following: 1) current TOU plan users have stronger PV purchase intentions than the other plan users, 2) respondents who are familiar with the DR program have relatively higher purchase intentions compared with their counterparts, and 3) when the respondents are requested to assume participation in the virtual TOU plan designed for the survey, which resembles plans currently available through major companies, 1.2% of the households have decided to purchase PV. In addition, we provide calculations of TOU's impacts on the official PV adoption and emissions reduction targets, and discuss policy recommendations to increase recognitions and participations in TOU programs.
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| 3 |
ID:
149887
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There is an increasing interest in investigating the environmental Kuznets curve (EKC) hypothesis because it suggests the existence of a turning point in the economy that will lead to a sustainable development path. Although many studies have focused on the EKC, only a few empirical studies have focused on analyzing the EKC with specific reference to Indonesia, and none of them have examined the potential of renewable energy sources within the EKC framework. This study attempts to estimate the EKC in the case of Indonesia for the period of 1971–2010 by considering the role of renewable energy in electricity production, using the autoregressive distributed lag (ARDL) approach to cointegration as the estimation method. We found an inverted U-shaped EKC relationship between economic growth and CO2 emissions in the long run. The estimated turning point was found to be 7729 USD per capita, which lies outside of our sample period. The beneficial impacts of renewable energy on CO2 emission reduction are observable both in the short run and in the long run. Our work has important implications both for policymakers and for the future development of renewable energy in Indonesia.
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| 4 |
ID:
179670
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| Summary/Abstract |
Improving energy efficiency is a highly effective policy for protecting the environment and preserving resources. Previous studies have measured energy efficiency in the industrial sector. We further contribute to understanding the factors that affect energy efficiency changes. This study measures energy efficiency based on plant-level data in Japan's paper/pulp and cement industries as representative energy intensive sectors. We analyze the relationship between the industrial agglomeration effect and the energy efficiency of each studied industry. Our results reflect several important findings. First, energy efficiency has improved in the paper and pulp industry as well as the cement industry between 2000 and 2010. However, the factors for improving energy efficiency differ between the industries. Second, industrial agglomeration affects energy efficiency. In the paper and pulp industry, the same industry agglomerations contribute to improvements in energy efficiency. However, the agglomeration effect is negative for energy efficiency in the cement industry. Our results indicate that one must consider regional circumstances more carefully when seeking to improve energy efficiency.
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| 5 |
ID:
122726
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2013.
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| Summary/Abstract |
The growing demand for electricity in New Zealand has led to the construction of new hydro-dams or power stations that have had environmental, social and cultural effects. These effects may drive increases in electricity prices, as such prices reflect the cost of running existing power stations as well as building new ones. This study uses Canterbury and Central Otago as case studies because both regions face similar issues in building new hydro-dams and ever-increasing electricity prices that will eventually prompt households to buy power at higher prices. One way for households to respond to these price changes is to generate their own electricity through microgeneration technologies (MGT). The objective of this study is to investigate public perception and preferences regarding MGT and to analyze the factors that influence people's decision to adopt such new technologies in New Zealand. The study uses a multivariate probit approach to examine households' willingness to adopt any one MGT system or a combination of the MGT systems. Our findings provide valuable information for policy makers and marketers who wish to promote effective microgeneration technologies.
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| 6 |
ID:
088979
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2009.
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| Summary/Abstract |
In this paper, the random stochastic frontier model is used to estimate the technical efficiency of Japanese steam power generation companies taking into regulation and pollution. The companies are ranked according to their productivity for the period 1976-2003 and homogenous and heterogeneous variables in the cost function are disentangled. Policy implication is derived.
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| 7 |
ID:
121373
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| Publication |
2013.
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| Summary/Abstract |
This study analyzed the relationship between the CO2 emissions of different industries and economic growth in OECD countries from 1970 to 2005. We tested an environmental Kuznets curve (EKC) hypothesis and found that total CO2 emissions from nine industries show an N-shaped trend instead of an inverted U or monotonic increasing trend with increasing income. The EKC hypothesis for sector-level CO2 emissions was supported in the (1) paper, pulp, and printing industry; (2) wood and wood products industry; and (3) construction industry. We also found that emissions from coal and oil increase with economic growth in the steel and construction industries. In addition, the non-metallic minerals, machinery, and transport equipment industries tend to have increased emissions from oil and electricity with economic growth. Finally, the EKC turning point and the relationship between GDP per capita and sectoral CO2 emissions differ among industries according to the fuel type used. Therefore, environmental policies for CO2 reduction must consider these differences in industrial characteristics.
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