scholarly journals Peak Carbon Emissions in China: Status, Key Factors and Countermeasures—A Literature Review

2018 ◽  
Vol 10 (8) ◽  
pp. 2895 ◽  
Author(s):  
Feng Dong ◽  
Yifei Hua ◽  
Bolin Yu
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Emission Peak ◽  
Key Factors ◽  
Emission Mitigation ◽  
Systematic Analysis ◽  
Spatial Spillovers ◽  
Five Factors ◽  
The Status

China is continually increasing its efforts to reduce carbon emissions due to dual pressure domestically and internationally. Specifically, China has committed to achieving peak carbon emissions no later than 2030. As an international goal, carbon emission peak in China has generated considerable research interest. However, most scholars only focus on a partial aspect of peak carbon emissions. Through a review of literature from numerous sources, this paper provides a more systematic analysis than previously available of how China can reach its peak carbon emissions as early as possible. This study first elaborates the status of peak carbon emissions in China from regional and sectoral perspectives and summarizes the various predictions. Then, five main driving factors of carbon emission peak in China are investigated, i.e., economic development, urbanization, energy-related issues, foreign direct investment and technology, and transportation. Corresponding to these five factors, some specific and practical recommendations are proposed. Furthermore, regional differences and spatial “spillovers” must be taken into account, thereby achieving a “win-win” solution with respect to the integration of emission mitigation and economic development, as well as reaching the desired target of peak carbon emissions.

Carbon emission risks and management accounting: Australian evidence

2016 ◽  
Vol 29 (2) ◽  
pp. 137-153 ◽  
Author(s):  
Jayanthi Kumarasiri ◽  
Christine Jubb
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Management Accounting ◽  
Interview Data ◽  
Structured Interviews ◽  
Emission Mitigation ◽  
Senior Managers ◽  
Economic Interests ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to apply regulatory mix theory as a framework for investigating the use of management accounting techniques by Australian large listed companies in constraining their carbon emissions. Design/methodology/approach Semi-structured interviews are conducted with senior managers involved with managing their companies’ carbon emission risks. Analysis of the interview data is undertaken with a view to provision of insight to the impact of the regulatory framework imposed to deal with carbon emissions. Findings The findings reveal that regulation impacting companies’ economic interests rather than requiring mere disclosure compliance is much more likely to be behind focusing top management and board attention and use of management accounting techniques to set targets, measure performance and incentivise emission mitigation. However, there remains much scope for increased use of accounting professionals and accounting techniques in working towards a carbon-constrained economy. Research limitations/implications The usual limitations associated with interpretation of interview data are applicable. Practical implications Under-use of management accounting techniques is likely to be associated with less than optimal constraint of carbon emissions. Social implications Carbon emissions are accepted as being involved in harmful climate change. To the extent effective techniques are under-utilised in constraining emissions, harmful consequences for society are likely to be heightened unnecessarily. Originality/value The topic and data collected are original and provide valuable insights into the dynamics of management accounting technique use in managing carbon emissions.

scholarly journals The Spatiotemporal Evolution Pattern and Influential Factor of Regional Carbon Emission Convergence in China

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Xin Tong
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Influential Factor ◽  
Spatiotemporal Evolution ◽  
Reduction Strategy ◽  
Emission Level ◽  
Evolution Pattern ◽  
Convergence Model

As economic development rapidly progresses in China, a method of carbon emission control that provides reasonable solutions is needed. This paper analyzes the convergence of carbon emission evolutionary characteristics in different regions of China and studies the dynamics of carbon emissions in China based on a convergence model. It was found that the carbon emission levels of each region are prominent in terms of time, and the regional carbon emission level has absolute β characteristics. The regional carbon emission condition β convergences have different convergence paths. Therefore, it is necessary to justify carbon emission reduction in China and put forward an emission reduction strategy.

scholarly journals Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?

2019 ◽  
Vol 11 (13) ◽  
pp. 3622 ◽  
Author(s):  
Wenbin Shao ◽  
Fangyi Li ◽  
Zhaoyang Ye ◽  
Zhipeng Tang ◽  
Wu Xie ◽  
...  
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Decomposition Method ◽  
Carbon Emission ◽  
Spillover Effects ◽  
Efficiency Improvement ◽  
Input Output ◽  
Coastal Regions ◽  
Regional Trade ◽  
Positive Spillover

International and inter-regional trade in China has been promoted, the economic and environmental impacts of which are significant in regional development. In this paper, we analyzed the evolution of inter-regional spillover of carbon emissions and employment in China from 2007 to 2012 with structural decomposition method and multi-regional input-output tables. The index of carbon emission per employee (ICE) is designed and compared to indicate positive or negative spillover effects. We find that carbon emissions grow much more rapidly in interior regions than in coastal regions, due to spillover effects and own influences. Spillover effects rarely reduce the ICE of destination regions, but the own influences can decrease it in most regions. Although spillover may contribute to economic development in most regions, it is hardly a driver of efficiency improvement in destination regions. Based on these empirical findings, we put forward specific suggestions to improve the positive spillover effects on different kinds of regions.

China’s Carbon Emissions Trading Market Analysis

2010 ◽  
Vol 113-116 ◽  
pp. 484-487 ◽  
Author(s):  
Ming Ming Wu
Keyword(s):  
Carbon Emissions ◽  
Carbon Emission ◽  
Emissions Trading ◽  
Market Analysis ◽  
Emission Permits ◽  
Market Mechanisms ◽  
Carbon Emissions Trading ◽  
Trading Market ◽  
The Status

As one of the carbon trade mechanisms ratified by Tokyo Protocol, the Carbon Emission Permits Trade has played a significant role of offsetting the global warming problem. This paper introduces the international carbon emissions trading market mechanisms, transaction type, and volume and price, and then analyses the status of carbon emissions trading at home and abroad. Finally, the author puts forward construction carbon emissions trading in China.

scholarly journals Revisiting Environmental Kuznets Curve in Relation to Economic Development and Energy Carbon Emission Efficiency: Evidence from Suzhou, China

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 62
Author(s):  
Ming Wen ◽  
Mingxing Li ◽  
Naila Erum ◽  
Abid Hussain ◽  
Haoyang Xie ◽  
...  
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Carbon Emission ◽  
Energy Use ◽  
Trade Openness ◽  
Positive Sign ◽  
Kuznets Curve ◽  
Total Energy Consumption ◽  
Long Run

This study empirically examines the effect of economic development on carbon emissions and revisits the environmental Kuznets curve in Suzhou, China. The study made use of the Gross Domestic Product Per Capita (GDPPC) of Suzhou, China as an indicator of economic development as it depicts the entire developmental ecosystem that indicates the level of production activities and total energy consumption. Bearing this in mind, the authors postulate that economic development directly increases carbon emissions through industrial and domestic consumptions. For this purpose, linear and non-linear approaches to cointegration are applied. The study finds the existence of an inverted U-shape relationship between economic development and carbon emission in the long run. Trade openness and industrial share are positively contributing to increasing carbon emissions. Energy use shows a positive sign but an insignificant association with carbon emissions. The study concludes that carbon emissions in Suzhou should be further decreased followed by policy recommendations.

Decomposition analysis of the decoupling process between economic growth and carbon emission in Beijing city, China: A sectoral perspective

2019 ◽  
Vol 31 (6) ◽  
pp. 961-982 ◽  
Author(s):  
Min Su ◽  
Shasha Wang ◽  
Rongrong Li ◽  
Ningning Guo
Keyword(s):  
Economic Growth ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
National Level ◽  
Decomposition Analysis ◽  
Transport Sector ◽  
Beijing City ◽  
Emission Mitigation ◽  
Economic Output ◽  
Industrial Sectors

Cities play a major role in decoupling economic growth from carbon emission for their significant role in climate change mitigation from national level. This paper selects Beijing (economic center and leader of emission reduction in China) as a case to examine the decoupling process during the period 2000–2015 through a sectoral decomposition analysis. This paper proposes the decoupling of carbon emission from economic growth or sectoral output by defining the Tapio decoupling elasticity, and combined the decoupling elasticity with decomposition technique such as Logarithmic Mean Divisia Index approach. The results indicate that agriculture and industrial sectors presented strong decoupling state, and weak decoupling is detected in construction and other industrial sectors. Meanwhile, transport sector is in expansive negative decoupling while trade industry shows expansive coupling during the study period. Per-capita gross domestic product, industrial structure, and energy intensity are the most significant effects influencing the decoupling process. Agriculture and industry are conducive to decoupling of carbon emissions from economic output, while transport and trade are detrimental to the realization of strong decoupling target between 2000 and 2015. However, construction and other industrial sectors exerted relatively little minor impact on the whole decoupling process. Improving and promoting energy-saving technologies in transport sector and trade sector should be the key strategy adjustments for Beijing to reduce carbon emissions in the future. The study aims to provide effective policy adjustments for policy makers to accelerate the decoupling process in Beijing, which, furthermore, can lay a theoretical foundation for other cities to develop carbon emission mitigation polices more efficiently.

scholarly journals Decomposition Analysis of Carbon Emissions from Energy Consumption in Beijing-Tianjin-Hebei, China: A Weighted-Combination Model Based on Logarithmic Mean Divisia Index and Shapley Value

2018 ◽  
Vol 10 (7) ◽  
pp. 2535 ◽  
Author(s):  
Yi Liang ◽  
Dongxiao Niu ◽  
Weiwei Zhou ◽  
Yingying Fan
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Logarithmic Mean ◽  
Consumption Structure ◽  
Consumption Intensity ◽  
Weighted Combination

The Beijing-Tianjin-Hebei (B-T-H) region, who captures the national strategic highland in China, has drawn a great deal of attention due to the fog and haze condition and other environmental problems. Further, the high carbon emissions generated by energy consumption has restricted its further coordinated development seriously. In order to accurately analyze the potential influencing factors that contribute to the growth of energy consumption carbon emissions in the B-T-H region, this paper uses the carbon emission coefficient method to measure the carbon emissions of energy consumption in the B-T-H region, using a weighted combination based on Logarithmic Mean Divisia Index (LMDI) and Shapley Value (SV). The effects affecting carbon emissions during 2001–2013 caused from five aspects, including energy consumption structure, energy consumption intensity, industrial structure, economic development and population size, are quantitatively analyzed. The results indicated that: (1) The carbon emissions had shown a sustained growth trend in the B-T-H region on the whole, while the growth rates varied in the three areas. In detail, Hebei Province got the first place in carbon emissions growth, followed by Tianjin and Beijing; (2) economic development was the main driving force for the carbon emissions growth of energy consumption in B-T-H region. Energy consumption structure, population size and industrial structure promoted carbon emissions growth as well, but their effects weakened in turn and were less obvious than that of economic development; (3) energy consumption intensity had played a significant inhibitory role on the carbon emissions growth; (4) it was of great significance to ease the carbon emission-reduction pressure of the B-T-H region from the four aspects of upgrading industrial structure adjustment, making technological progress, optimizing the energy structure and building long-term carbon-emission-reduction mechanisms, so as to promote the coordinated low-carbon development.

scholarly journals A Study on the Factors Affecting China’s Direct Household Carbon Emission and Comparison of Regional Differences

2019 ◽  
Vol 11 (18) ◽  
pp. 4919 ◽  
Author(s):  
Jingbo Fan ◽  
Aobo Ran ◽  
Xiaomeng Li
Keyword(s):  
Carbon Emissions ◽  
Rural Areas ◽  
Carbon Emission ◽  
Low Carbon ◽  
Systematic Analysis ◽  
Factors Affecting ◽  
Man And Nature ◽  
Urban Rural ◽  
The Government ◽  
Urban And Rural Areas

As the world’s largest emitter of greenhouse gases, China has been attracting attention. In the global carbon emission structure, the proportion of household carbon emissions continues to increase, and it is necessary to focus on the issue of household emissions. Based on the perspective of the family sector and the comparison of urban–rural and interprovincial differences, this study makes a thorough and systematic analysis of the factors affecting direct household carbon emissions. The average carbon emission of urban households is higher than that of rural households. Both personal background and household energy consumption facility use have important impacts on household carbon emissions, and the degree of impact varies between urban and rural areas and between provinces. Reducing household carbon emissions and achieving a harmonious coexistence between man and nature are the common goals of the government and society. The government should explore the model of green sustainable development on the basis of ensuring the energy needs of residents. Residents should also further establish a low-carbon life concept and focus on the cultivation of low-carbon lifestyles.

scholarly journals Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation

2021 ◽  
Vol 18 (4) ◽  
pp. 1601
Author(s):  
Yue Pan ◽  
Gangmin Weng ◽  
Conghui Li ◽  
Jianpu Li
Keyword(s):  
Economic Development ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Tourism Industry ◽  
Compound System ◽  
Regional Innovation ◽  
Emission Efficiency ◽  
The Core ◽  
Coordination Degree

To discuss the coupling coordination relationship among tourism carbon emissions, economic development and regional innovation it is not only necessary to realize the green development of tourism economy, but also great significance for the tourism industry to take a low-carbon path. Taking the 30 provinces of China for example, this paper calculated the tourism carbon emission efficiency based on the super-efficiency Slacks based measure and Data envelope analyse (SBM-DEA) model from 2007 to 2017, and on this basis, defined a compound system that consists of tourism carbon emissions, tourism economic development and tourism regional innovation. Further, the coupling coordination degree model and dynamic degree model were used to explore its spatiotemporal evolution characteristics of balanced development, and this paper distinguished the core influencing factors by Geodetector model. The results showed that (1) during the study period, the tourism carbon emission efficiency showed a reciprocating trend of first rising and then falling, mainly due to the change of pure technical efficiency. (2) The coupling coordination degree developed towards a good trend, while there were significant differences among provinces, showing a gradient distribution pattern of decreasing from east to west. Additionally, (3) the core driving factors varied over time, however, in general, the influence from high to low were as follows: technological innovation, economic development, urbanization, environmental pollution control, and industrial structure. Finally, some policy recommendations were put forward to further promote the coupling coordination degree.

Analysis on the Status and Influencing Factors of Industrial Carbon Emissions in Northeast China

2013 ◽  
Vol 869-870 ◽  
pp. 866-869
Author(s):  
Shao Ping Li ◽  
Qian Wang ◽  
Yan Meng
Keyword(s):  
Energy Efficiency ◽  
Economic Development ◽  
Energy Consumption ◽  
Influencing Factors ◽  
Carbon Emissions ◽  
Northeast China ◽  
Pull Factors ◽  
Industrial Carbon ◽  
Small Impact ◽  
The Status

This paper calculates the carbon emissions in the three northeastern provinces from 1997 to 2011 by using carbon formula, and compares the differences of the carbon emissions among the three provinces. Based on the LMDI model, the paper reveals the influences of every factor on the industrial carbon emissions. The population, economic development and industrialization rate are the pull factors in the increasing industrial carbon emissions, and the economic development is the main reason, followed by industrialization rate, the population has the least impact. The energy efficiency and structure of energy consumption are the inhibitory factors in the increasing industrial carbon emissions, energy efficiency is the most important factor to reduce industrial carbon emissions, and structure of energy consumption has a small impact on the industrial carbon emissions.

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