• Energy Research
• 11. Sustainability close
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• Energy Policy close

Abstract Effective low carbon transport policy-making needs to first understand what are the factors influencing residents’ modal choice and how it can be intervened. This study uses a discrete choice model to analyse the factors influencing residents’ mode choice in Beijing. A questionnaire survey was conducted in 2015, with sample data containing 865 respondents and 1704 trips collected. The results suggest that residents’ mode choice is closely related to their characteristics. Moreover, our study has linked residents’ mode choice with travel carbon emissions and estimated the emissions reduction potential of those policy measures aiming to improve public transport. For commuting and education trips, public transport improvements can reduce carbon emissions by 12.3~16.6% on average, but for other trip purposes, the reduction is only 2.9~6.8%. As commuting and education trips account for the largest proportion of urban residents’ daily travels, it suggests that policy should primarily focus on the improvement of public transport and its particular support for major commuting routes.

Abstract Green electricity is an effective approach to mitigate greenhouse gas emissions without damaging economic development. One effective measure to boost its development is to increase the awareness of residents about sustainable development and to increase their willingness to pay (WTP). This study applies a contingent valuation method to investigate the WTP of residents in Tianjin, China for green electricity. It uses a logit model to test whether the respondents have WTP. In addition to the factors affecting the respondents’ viewpoints frequently discussed in previous studies, this paper has also considered the influence of high prevalence of respiratory disease. Furthermore, it employs a multiple regression model to identify the factors that significantly affected the WTP. According to a sample of 468 respondents, most residents have positive WTP with an average value of CNY 32.63 per month. The main driving factors for a positive WTP are knowledge of renewable energy, belief towards the government, behavior, education, history of respiratory disease and others. The factors affecting the value of WTP include income, belief, disease, gender and age, and the first three factors often have positive influences while the last one has negative impact. Furthermore, males tend to have a higher WTP than females.

Abstract We present five performance indicators for electricity generation for 129 countries using the 2005 data. These indicators, measured at the national level, are the aggregate CO2 intensity of electricity production, the efficiencies of coal, oil and gas generation and the share of electricity produced from non-fossil fuels. We conduct a study on the potential for reducing global energy-related CO2 emissions from electricity production through simple benchmarking. This is performed based on the last four performance indicators and the construction of a cumulative curve for each of these indicators. It is found that global CO2 emissions from electricity production would be reduced by 19% if all these indicators are benchmarked at the 50th percentile. Not surprisingly, the emission reduction potential measured in absolute terms is the highest for large countries such as China, India, Russia and the United States. When the potential is expressed as a percentage of a country's own emissions, few of these countries appear in the top-five list.

In 2013, China opened pilot carbon emission trading markets in seven provinces, where carbon emission allowances have now been traded for more than two years. In this paper, we employ a structural VAR model and the price of the Beijing carbon emission allowance to study the dynamic relationships among the price of the carbon emission allowance, economic development and the price of energy. This paper's data cover the period from April 2, 2014 to November 6, 2015. This paper provides information that will be helpful to both investors and governmental policy makers. The results show that (1) an increase of one standard deviation in the coal price leads to an initial increase of approximately 0.1% in the Beijing carbon price. After 2 days, there is a decrease of less than 0.1%, and the price gradually increases by approximately 0.1% after 30 days; (2) the price of the Beijing carbon emission allowance is mainly affected by its own historical price; (3) the Beijing carbon emission allowance price, crude oil price, natural gas price and economic development have positive – albeit non-significant – correlations.

Abstract In this paper, we evaluate empirically the impact of biogas subsidies on household biogas energy use in rural China. Special attention was given to the problem of sample selection bias in assessing the impact of subsidies on biogas energy use because biogas subsidies often change the propensity for installing biogas digesters. Using data from a large-scale household survey, the results indicate that biogas subsidies did promote the construction of biogas digesters. The results suggest that a 10 percentage point increase in subsidy-cost ratio would lead to a 3% increase in digester installations. We also found that biogas subsidies correlated negatively with average time of digester use. A 10 percentage point increase in the subsidy-cost ratio would result in a 4.3% reduction in the average working time of digesters. These results suggest that the net effect of the current subsidy policy on rural household biogas use was near-negligible. Indeed, a 10 percentage point increase in the subsidy-cost ratio resulted in a mere 1.15% increase in biogas use. These findings indicate that biogas subsidies have possibly not been targeted effectively at households that would actually prefer to use biogas energy.

Abstract This study employs a multiple-case study method, identifies barriers to the adoption of low carbon production, and categorizes these barriers into four domains: structural, regulatory, cultural, and contextual. The two most frequently mentioned barriers were “lack of financial incentives to stimulate low carbon innovation” and “lack of a common definition of low carbon production”. The two least frequently mentioned barriers were “silos exist between planning and production” and “operational staff are often physically separated from planning staff, which isolates them from planning decisions”. Furthermore, contextual barriers were significantly related to structural and regulatory barriers, while regulatory barriers were significantly related to structural barriers. Larger firms tend to have a more structured organization and lower perceptions of the employment term barrier. However, larger structured organizations have been affected by a long history of a planning-oriented economy and hence tend to have inflexible hierarchical systems. In contrast, small firms have hierarchical systems with less effect on low carbon production than those of large enterprises. Another interesting trend is the direct size effect on cultural barriers, which is evident in a culture of risk aversion, as well as the lack of low carbon technology and the existence of silos between planning and production.

Abstract This paper analyses the impact of environmental innovation on the economic and environmental performance of Korean-owned firms in China. We establish a theoretical model and propose eight hypotheses, which combine TPB (Theory of Planned Behavior) with theories of global environmental management and environmental innovation. We analyse the determinants of environmental innovation intention. We also analyse the effects of environmental innovation behavior on economic performance and environmental performance in different provinces and of different corporate ownership. We find that environmental innovation behavior has a greater effect on environmental performance than economic performance. Innovation in production processes, in particular, positively affects environmental performance for Korean-owned firms in Jiangsu. We also find that wholly Korean-owned firms (WKOEs) are more receptive to environmental innovation than Sino-Korean joint ventures. It is important to enhance environmental innovation within Korean-owned firms in China. Environmental innovation should concentrate on improving production processes in Jiangsu.

Abstract Global awareness on energy security and climate change has created much interest in assessing economy-wide energy efficiency performance. A number of previous studies have contributed to evaluate energy efficiency performance using different analytical techniques among which data envelopment analysis (DEA) has recently received increasing attention. Most of DEA-related energy efficiency studies do not consider undesirable outputs such as CO 2 emissions in their modeling framework, which may lead to biased energy efficiency values. Within a joint production framework of desirable and undesirable outputs, in this paper we construct both static and dynamic energy efficiency performance indexes for measuring industrial energy efficiency performance by using several environmental DEA models with CO 2 emissions. The dynamic energy efficiency performance indexes have further been decomposed into two contributing components. We finally apply the indexes proposed to assess the industrial energy efficiency performance of different provinces in China over time. Our empirical study shows that the energy efficiency improvement in China's industrial sector was mainly driven by technological improvement.

Abstract Residential energy consumption in rural China is undergoing a transition from traditional biomass energy to modern commercial energy. This paper examines the impact of rising wage rates on energy consumption mix in rural China. Using a unique panel data set from our two-round surveys of 409 rural households in 4 provinces, the results show that the wage rate at the village level has a significant negative impact on traditional biomass energy consumption and significant positive effects on consumption of electricity and new renewable energy in rural China. As traditional biomass energy is mainly collected with family labor and is relatively labor intensive, an increase in rural wage rates would enhance the opportunity costs of traditional biomass energy, leading to a reduction in biomass energy consumption. Continuously rising rural wage rates could accelerate the transition from biomass energy to electricity in rural areas. These findings could have important policy implications, not only for indoor air quality and environmental and health issues in rural areas but also for greater security in rural energy supply and policies to incentive farmers to better utilize biomass resource after harvest.