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The development of regional industry in China has become one of the significant factors affecting energy efficiency. This paper combined the industry agglomeration theory and the improved Stochastic Impacts model to explore the impact mechanism of producer service industry agglomeration on energy efficiency. We applied spatial econometric model to estimate the spatial effects of the agglomeration on energy efficiency with panel data of 31 provinces from 2008 to 2017 in China. The results showed that China's inter-provincial energy efficiency has a significant spatial spillover effect. Simultaneously, the specialized agglomeration and diversified agglomeration of producer services have a "U"-shaped effect on energy efficiency. Finally, we need to pay attention to the coordination and synchronization of the specialized agglomeration and diversified agglomeration of the producer service industry. An increase in the relative gap between the two can inhibit energy efficiency, but its inhibitory effect gradually weakened. [ABSTRACT FROM AUTHOR]

Dependency on coal consumption to maintain energy security is common to the majority of developing countries where the coal is found in abundance. China and India are the leaders in coal consumption from the developing countries group, so establishing a relationship between the coal consumption and the economic growth for these two will derive useful lessons for policy-makers. This paper re-examines the causal relationship between coal consumption and economic growth in China and India for the period 1969–2013, for the first time using a frequency domain–based Granger causality test proposed by Brietung and Candelon (2006). The empirical results support unidirectional causality running from coal consumption to economic growth for both China and India. The findings of this paper provide important policy implications for energy policies and strategies for these two countries under study. [ABSTRACT FROM PUBLISHER]

In this paper, we employ multi-region input-output model to investigate China's embodied energy trade in 1995-2009, and then we use hypothetical extraction method to explore the effect of Chinese foreign trade on the other countries or regions of the world after extracting the trade volume between China and the world. We find that China was a net export country of embodied energy, and there was pronounced discrepancy between the sectors in importing and exporting embodied energy, where the sector Electrical and Optical Equipment had the largest import and export in embodied energy. In 2009, China imported mainly from Korea and exported mainly to Japan. In addition, extracting trade from China and other countries not only influenced the embodied energy consumption of China but also consumption and trade of other countries. China's government should pay more attention to sector differences when adopting policies like trade tax rate, and enhance cooperation with other countries. [ABSTRACT FROM AUTHOR]

Most previous studies have studied the relationship among urbanization, energy use, and CO2 emissions. In this paper, Ordinary Least Square (OLS), Fixed Effects (FE), Prais-Winsten (PW), and First Differenced (FD) regression model approaches are applied to analyze the correlation among urbanization, energy use, and CO2 emissions in the interior provinces and eastern/coastal provinces of China. The results show that the impact of urbanization on CO2 emissions is not homogenous for all provinces. The eastern/coastal provinces have a different elasticity with respect to per capita Gross Domestic Product (GDP) and urbanization than the interior provinces. Also, it’s possible an Environmental Kuznets Curve (EKC) exists for the eastern provinces but not for China as a whole. [ABSTRACT FROM AUTHOR]

This paper reexamines the relationship between energy consumption and output growth in China over the period from 1969 to 2013, using an asymmetric Granger causality test proposed by Hatemi-J (2012). This article uses oil and coal as the major energy consumption variables because both coal consumption increased by more 2.3 billion over the past 10 years and oil consumption grew by 4.3% at the end of 2016. Empirical results indicate asymmetric Granger causal relationship did exist between energy consumption (for both oil and coal consumption) and output growth in China. The empirical results have important policy implications for the conduct of energy policy in China. [ABSTRACT FROM PUBLISHER]

China’s energy consumption structure, which relies heavily on fossil fuels, has, on the one hand, weakened environmental sustainability at the national level, and also intensified the problem of climate change at the global level, on the other hand. It is therefore essential for policy-makers to adopt immediate measures to transfer to a trajectory of sustainable energy development with low carbon emissions. Using a decoupling index that describes the difference between energy consumption and economic development, this paper studied the process of decoupling in each province in China. Results showed that there was a phenomenon of weak decoupling in China as a whole, while North, Northeast, and East China have experienced rapid economic development and improved energy utilization efficiency, leading to a high level of decoupling. Neimenggu (Inner Mongolia) Province experienced both the highest energy consumption and economic growth, while Beijing and Guizhou Province showed the strongest decoupling. [ABSTRACT FROM AUTHOR]

This paper has established the computable general equilibrium (CGE) model to analyze the effect of carbon tax policy on energy consumption and CO2emission in China. The analysis shows that with the increase of CO2mitigation, the level of carbon tax will gradually increase; meanwhile the ad valorem tax rates of coal, petroleum, and natural gas go up as well, and the coal tax rate is the highest among them. In addition, with the increase of CO2emission reductions, the demand for coal, petroleum, natural gas, and thermal power will totally decrease. The demand for coal will drop significantly. The main factor responsible for China’s CO2mitigation is coal. Moreover, the sectors of coal, heavy industries, thermal power, light industries, natural gas, and transportation contribute more to CO2emission reductions, while the other sectors contribute less. [ABSTRACT FROM PUBLISHER]

Rapid growth of passenger vehicles considerably increases greenhouse gas emission and fuel consumption in China. This paper thereby intends to analyze the potentials of the mitigation of energy use and environmental emission in China’s road passenger transportation sector by assessing two available approaches, i.e. biofuel and hybrid vehicle strategies. It was found that biofuel is effective for emission reduction in only three subsubsectors. A synthesis strategy is thereby proposed to meet the state policy goals. [ABSTRACT FROM AUTHOR]

Some sigmoidal growth models have been commonly used for forecasting energy consumption. In this article, a new sigmoidal growth model, which is an extended form of the Boltzmann 4-parameter function, has been developed for describing the evolution of biogas consumption in rural China. Additionally, the other three sigmoidal growth models (the general form of the logistic model, the Boltzmann 4-parameter function, and the Gompertz-Laird model) have also been applied to the same historical data on biogas consumption in rural China. These models have been compared using their goodness of fit to the historical data and the available national forecasts. The results revealed that the model newly-proposed in this paper is a very suitable candidate for forecasting biogas consumption in rural China. [ABSTRACT FROM PUBLISHER]