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Abstract Whilst a plethora of literature has viewed technological progress as one of the critical influencing factors in relation to energy consumption and CO 2 emissions, little effort has been made to identify the sectoral differences in the relationship between technological progress and CO 2 emissions. Thereby, this paper remedies the inadequacies in the extant literature by empirically investigating the impact of technological progress on CO 2 emissions, specifically taking into account its heterogeneous effect in various economic sectors. This paper first decomposes the effect of technological progress as taking place in heavy industry, in light industry, in construction industry, and in service industry. A panel quantile regression approach and a balanced city panel data model are then applied, covering the period 2001–2013 in China. The empirical results show that technological progress in heavy industry and light industry surprisingly facilitates a higher level of CO 2 emissions, despite its prominent contribution to energy efficiency improvement. Meanwhile, as distinct from the effect it shows in the heavy and light industries, technological progress in construction and service industries exerts a negative effect on CO 2 emissions. Additionally, this paper further discovers that the strength of the multiple impacts of technological progress also varies with the level of emitters. By studying the heterogeneous effect brought about by technological progress in different economic sectors and emitters, this paper provides a comprehensive understanding of the relationship between CO 2 emissions and technological progress. Highlights • The study considers the sectoral and scale heterogeneity of technological progress in relation to CO 2 emissions. • We apply a panel quantile regression approach to balanced city-level panel data. • Technological progress within different economic sectors exerts different effects on CO 2 emissions. • The role of technological progress in moderating energy intensity varies across emitters. [ABSTRACT FROM AUTHOR]

Abstract: With increasing attention on energy shortage and global warming, bioenergy is a promising alternative energy to mitigate CO 2 emissions. Despite the environmental friendly potential, a certain quantity of bioenergy-related CO 2 is still emitted in China. This paper investigates the temporal dynamics of bioenergy-related CO 2 emissions in 2000–2010 in China, and explores the underlying influence factors based on logarithmic mean Divisia index (LMDI). Then the core results are verified with a GIS-based approach from a spacial perspective. The results show that four impact factors: emission intensity, energy structure, energy efficiency and economic development have different impacts on bioenergy-related CO 2 emissions, of which economic development is the major factor contributing to its increase, while energy efficiency is the major determinant for the decline. Per capita bioenergy-related CO 2 emissions in different areas are verified in accordance with either economic development factor or energy efficiency factor to some extent. To achieve the dual purpose of sustainable development and CO 2 emissions reduction, this paper provides a practical policy framework for rural bioenergy and economic development. [ABSTRACT FROM AUTHOR]

Abstract: With rapid urbanization and industrialization, China has become both the largest energy consumer and CO2 emitting country in the world. As a clean and low-carbon energy source, renewable energy is a good choice to substitute for the exhausted fossil energy. The Chinese central and local governments have made a series of policies and optimistic plans to promote a rapid development of renewable energies. China′s renewable energy development has become a key to the sustainable development of socio-economic system. Unlike most of the current studies which mainly identified the challenges regarding policies and technologies around renewable energy or performed specific analyses for a certain kind of renewable energy, this paper summarizes the spatial disparity and consistency among the major renewable energies, coal resources, energy consumption and its major influencing factors in China, and reviews the positive and negative environmental impacts of major renewable energies. Based on the geographical and environmental perspectives, this paper recommends that the Chinese government: constructs the national energy production bases according to the resource distribution; integrates different energies on the basis of their natural features and spatial consistency; adjusts the overall layout of socio-economic development consistent with renewable energies; and promotes a moderate renewable energy development to maximize the environmental benefits. [Copyright &y& Elsevier]

Abstract: As an unconventional natural gas with the advantages of great resource potential and low carbon emissions, shale gas has currently aroused a new round of development and utilization worldwide. China’s shale gas resource is enormous and has huge potential for exploitation. However, due to the late start of exploration and development, it has not yet realized industrialization. By using the SWOT analysis method, this paper studies the internal and external development environment of Chinese shale gas, then explores shale gas development status of China from four dimensions including strengths, weaknesses, opportunities and threats. Finally, according to the combinations of SWOT matrix analysis, the paper formulates four kinds of different development strategies to provide certain references to the development of China’s shale gas industry. [Copyright &y& Elsevier]

Rapid development of agriculture mechanization and the agro–industry in China (considered as a large agricultural country) has led to a substantial increase in energy consumption and CO 2 emissions. Majority of existing studies usually explore the driving forces of the sector's CO 2 emissions using the averaging method. However, data distribution of economic variables is often non–normal, with the tail having hidden important information. According to the average annual CO 2 emissions, this paper divides China's 30 provinces into six quantile grades, and uses the quantile regression method to investigate the driving forces of CO 2 emissions under high, medium, and low emission levels. The results show that the effects of economic growth on CO 2 emissions in the upper 90th and 75th–90th quantile provinces are higher than in the 50th–75th, 25th–50th, 10th–25th and lower 10th quantile provinces due to the differences in fixed–asset investment and agricultural processing. The impact of energy efficiency in the upper 90th, 75th–90th, and 50th–75th quantile provinces are stronger than those in the 25th–50th, 10th–25th, and lower 10th quantile provinces because of the huge difference in R&D funding and R&D personnel investments. The effect of urbanization in the higher 90th quantile provinces is higher than in the other quantile provinces, owing to the differences in the level of agricultural mechanization and human capital accumulation. Similarly, financial capacity has the largest impact on CO 2 emissions in the upper 90th quantile provinces in all quantile provinces. However, the impact of industrialization in the upper 90th quantile provinces is lower than in other quantile provinces. Thus, the heterogeneous effects of the driving forces should be taken into consideration when discussing CO 2 emissions reduction in China's agriculture sector. [ABSTRACT FROM AUTHOR]

China consumes more energy and emits more carbon dioxide than any other country. The building sector accounts for nearly 1/3 of the total national energy consumption in China; thus, it is critical to find a solution for improving buildings’ energy efficiency. Under the market-oriented mechanism, constrained by the energy performance contracting (EPC) mode, energy service companies (ESCOs) play an important role in improving energy efficiency for high-energy-consumption industries, including the building sector. The aim of this study is to determine the strategy for boosting the building ESCO industry. By conducting a strength, weakness, opportunity, and threat (SWOT) analysis, this paper presented the status of the building ESCO industry in China and proposed alternative strategies. By utilizing a conventional multi-criteria decision-making method, namely, the Analytic Network Process (ANP), this study provides a quantitative basis to analytically determine the ranking of the factors in SWOT analysis and select the best strategy to promote the development of the building ESCO industry. The results showed that the ANP-SWOT is a viable and highly capable methodology that provides invaluable insights for strategic management decisions in the building ESCO industry, and a set of strategies for promoting ESCO development in the building sector were proposed based on this approach. [ABSTRACT FROM AUTHOR]

The aim of this research is to examine the link between CO 2 emissions, hydroelectricity consumption, urbanisation and real GDP in China and India during the period of 1965–2013. The long-run cointegration is investigated by the autoregressive distributed lag (ARDL) bounds testing approach, which is augmented with structural breaks. We employ the ARDL cointegration test to establish long run relationship in the variables. Furthermore, we use the ARDL to show that real GDP and urbanisation have long-run positive impact on emission, while hydroelectricity consumption exerts long-run negative impact on emission in both countries. The results support the existence of environmental Kuznets curve (EKC) hypothesis in China and India. Besides, the paper assesses the causal link between the variables by using Granger causality procedures and the results show that there is long-run bidirectional relationship between the variables in both countries. [ABSTRACT FROM AUTHOR]

The aim of this paper is to test whether income inequality contributes to environmental degradation in China and India, where both countries are giving a great concern about the implications of their unsustainable energy consumption to the environment not only to themselves but also to the global environmental sustainability. By applying the bounds test approach to cointegration we found in both countries a long-run but not a statistically significant relationship between income inequality and CO 2 emissions both in the long-run and in the short-run. The robustness of our cointegration results is also ascertained by using three different long-run tests. Furthermore, applying the variance decomposition analysis to examine the dynamic causal relationship between the Gini coefficient of income distribution and CO 2 emissions, we found that income inequality was the least important factor in determining CO 2 emissions and that there was no causality running in any direction between CO 2 emissions and income inequality in both countries. Still income and energy consumption are the major determinants of CO 2 emissions in both countries. Nevertheless, even though the evidence is not statistically significant, in the case of China it indicates that reducing income inequality can have a positive impact on environmental quality, while in India redistributing income to improve environmental degradation may not be effective. [ABSTRACT FROM AUTHOR]

China's transport sector is facing severe energy and environmental challenges. Establishing energy efficiency standards is an essential measure to cope with these challenges. This paper comprehensively reviews the energy efficiency standards in China's road, water, aviation, railway and pipeline transport sectors. Based on the review, it is suggested that (1) the integrity of policy framework should be further improved. Energy efficiency standards-based market access qualification mechanism is quite necessary for all transport sectors, especially the aviation, railway and pipeline transport sectors, where such mechanism is absent. (2) Efforts for improving energy efficiency should be balanced among different transport sectors. Priority should be determined by considering each sector's energy consumption, the cost and potential of energy efficiency improvement, etc. Especially, the major energy-consuming sectors, such as heavy-duty vehicles should have similar priority to passenger vehicles in the overall energy efficiency improvement scheme. (3) The scientific basis for the energy efficiency standards should be enhanced. Policies should be proposed with full considerations of China's context, rather than borrowing the experiences of developed countries. Intelligence from the research community should be incorporated to ensure the rationality of the policies. [ABSTRACT FROM AUTHOR]

China has become the world׳s largest country in steel production and consumption. Steel industry is one of the major high-polluting industries, and serious pollution problems have been caused by steel industry in China. In this paper, we first present a review of the development status and the emissions of China׳s steel industry. Then, the emission reduction measures of China׳s steel industry are analyzed. These measures include the overall actions on emission reduction in China and some actions on emission reduction of China׳s steel industry. Finally, suggestions in five aspects to further promote the emission reduction of China׳s steel industry are proposed and discussed, including eliminating backward steel production capacity, improving the legal system of emission control, strengthening government regulation, improving steel production technology and efficiency, and establishing the national carbon emission trading market of the steel industry. [ABSTRACT FROM AUTHOR]

The Logarithmic Mean Divisia Index (LMDI) and scenario analysis have been applied respectively to analyze the impact of CO 2 -emission and its potential reduction in China׳s power industry. According to the results of LMDI, there are six factors that affect the carbon emission in the power industry. Electricity intensity (EI), and economic activity (EA) are the primary driving factors for the increment in emissions, accounting for 42.33% and 57.05% of the total increment during 1985 to 2011. Results also demonstrated that energy efficiency (EE) contributed 13.54% abatement during 1985 to 2011, and will play a key role in emission abatement in the future. Furthermore, the paper estimate the trend of power sector׳s carbon dioxide emission under three scenarios (basic, moderate and optimum) in order to determine the mitigation potential. The potential mitigation rate will equal to 22.03% and 37.57% in 2020 in Case A and Case B respectively in 2020. [ABSTRACT FROM AUTHOR]

Unlike previous studies, this paper empirically investigates the impact of urbanization on energy consumption and CO 2 emissions with consideration of provincial differences. The results show the following: (1) Urbanization increases energy consumption and CO 2 emissions in China, but it is not the most outstanding contributor to the increases. (2) Significant differences exist between provinces in terms of the impact of urbanization on energy consumption and CO 2 emissions. The distribution of urbanization strongly and relatively strongly affects energy consumption in regions with high-urbanization areas but also those with low-urbanization areas. Meanwhile, urbanization strongly and relatively strongly affects the regional CO 2 emissions in northern China, where the major coal production areas, characterized by an energy-guzzling heavy industry base, are located. (3) Some evidence supports the arguments of urban environmental transition theory. Cities at a post-industrial stage (such as Beijing and Shanghai) experience a large effect from urbanization because of higher energy consumption in private residential and public service sectors, while in western and central China, the impact of urbanization can be associated with industrial development, which is characterized by low energy efficiency, high energy consumption and high emissions. In eastern China, the coexistence of light industrial structures and rapid urbanization has led to a smaller impact from urbanization on energy consumption and CO 2 emissions than in the other two regions. [ABSTRACT FROM AUTHOR]

This paper mainly investigates the relationship among energy consumption, carbon emissions and economic growth in China from 1952 to 2012. First, we implement unit root and cointegration analysis to test the stationary. Furthermore, we analyze the mutual influence among energy consumption, carbon emissions and economic growth through Granger causality analysis. Next, we also conduct static and dynamic regression analysis on the determinants of carbon emissions and economic growth. Last, we predict the future influence of different energy consumption on carbon emissions and economic growth. We find that coal has dominant impact on economic growth and carbon emissions. GDP (Gross Domestic Product) has bi-directional relationship with CO 2 (carbon dioxide) emission, coal, gas, and electricity consumption. It is imperative to change energy consumption structure in China. We had better decrease coal consumption rate. It is significant to develop hydro and nuclear power in China. [ABSTRACT FROM AUTHOR]

The iron & steel industry is one of the major industrial sectors of energy consumption and CO 2 emissions in China. In this paper, we estimate the total factor CO 2 emissions performance (TFCP) and the CO 2 emission mitigation potential (CMP) in China׳s iron & steel sector using the stochastic frontier analysis technique. During the period of 2000–2011, the average TFCP of China׳s iron & steel industry was 0.780, the cumulative CMP was 835.32 million tons in 12 years, and the average annual CMP was 69.61 million tons. Regional analysis showed that the TFCP is high in the northeastern and eastern regions but low in the central and western inland regions. Since the CMP is affected not only by TFCP, but also by the actual CO 2 emissions, both the eastern and western regions have the greatest potential for reducing CO 2 emissions. For the eastern region, the realization of the CMP relies on structural reform and government regulation; while for the western region, policies should focus on changing the production pattern and reducing efficiency loss. For all the regions in China, mitigating CO 2 emissions should place more emphasis on technical innovation and low-carbon investment. [ABSTRACT FROM AUTHOR]

Despite reforms, China still largely applies the cost plus pricing mechanism for the energy sector. Government administrative energy pricing leads to energy price distortions, which could result in not only the excessive and wasteful energy consumption, but also environmental deterioration, thereby undermining energy conservation and emission abatement. Using fossil-fuel subsidies as a proxy for the level of energy price distortions, this paper estimates the subsidy of 22 Chinese departments during the period 2006–2010, and adopts the price-gap approach to analyze the impacts of subsidy removal on energy consumption and CO 2 emissions for the various sectors and energy types. The results demonstrate that removing energy subsidies would reduce energy consumption and emissions by 3.77% and 2.85%, respectively, but the effects vary across sectors. The transport, storage and post sector and the electricity, gas and water supply sector are much more affected by energy subsidies removal than other sectors. With respect to energy types, fuel oil and natural gas are sensitive to subsidies, indicating the magnitude of their consumption. This suggests that removing subsidies on these fuel types could significantly reduce CO 2 emissions. Finally, we comprehensively discuss relevant policy issues on energy price formation reform. [ABSTRACT FROM AUTHOR]

The aim of this paper is to investigate the relationship between renewable energy consumption and economic growth in China for the period 1977–2011. Autoregressive Distributed Lag approach (ARDL) to cointegration and Johansen cointegration techniques are employed by including intermittent variables namely carbon dioxide emissions and labor. We also employed Granger causality test in order to determine the direction of the causality among the variables. The results show that there is a bi-directional long term causality between renewable energy consumption and economic growth. This finding implies that growing economy in China is propitious for the development of renewable energy sector which in turn helps to boost economic growth. We also find that labor influences renewable energy consumption in the short term. However, there is no evidence of long or short run causality between carbon emissions and renewable energy consumption. This implies that actual level of renewable energy in China is still insignificant and not considerably exploited in order to contribute to the mitigation of carbon dioxide emissions. [ABSTRACT FROM AUTHOR]

Abstract: Climate change has become the most globally concerned environmental issue. As the world's largest carbon dioxide emitter and primary energy consumer, China has strong incentives to change its coal-dominated electricity structure. Various renewable powers such as wind and solar are suitable and necessary options for carbon emission reduction. The 12th Five-Year (2011–2015) and the mid-term until 2020 are critical periods for the development of Chinese renewable powers. In this paper individual renewable electricity sources were introduced based on their characteristics. Based on the introduction, the targets as well as their effects in the medium and long-term were presented and explained; challenges China has to face in the periods were discussed in detail, and emphasis was put on hydro, solar and wind power, which is highlighted in the plans. Also solutions against these challenges were recommended. [Copyright &y& Elsevier]

Abstract: This paper looks at carbon dioxide (CO2) emissions from the point of view of production theory and proposes a new total factor CO2 emissions performance index. This is done using directional distance function followed by stochastic frontier analysis techniques in order to estimate the index. Based on this, it studies on CO2 emission performance, emission reduction potential and influences of regulatory policies in Chinese provinces. The main conclusions include the following: (1) CO2 emission performance in each province is high in southeastern coastal areas but low in central and western inland regions with differences increasing rapidly after 2001. (2) The relationship between CO2 emission performance and emission reduction potential can be divided into four types; high performance-high potential, high performance-low potential, low performance-high potential and low performance-low potential. (3) Regulations concerning emission reduction do not sacrifice efficiency but actually facilitate long-term CO2 emission performance. [Copyright &y& Elsevier]