scholarly journals Policy research and energy structure optimization under the constraint of low carbon emissions of Hebei Province in China

2016 ◽  
Vol 21 (4) ◽  
pp. 409-419
Author(s):  
Wei Sun ◽  
Minquan Ye ◽  
Yanfeng Xu
Keyword(s):  
Carbon Emissions ◽  
Policy Research ◽  
Structure Optimization ◽  
Hebei Province ◽  
Energy Structure ◽  
Low Carbon

scholarly journals Multi-Scenario Analysis of Energy Consumption and Carbon Emissions: The Case of Hebei Province in China

Energies ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 624 ◽  
Author(s):  
Zeng Li ◽  
Jingying Fu ◽  
Gang Lin ◽  
Dong Jiang ◽  
Kun Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Alternative Energy ◽  
Ghg Emissions ◽  
Structure Optimization ◽  
Energy System ◽  
Hebei Province ◽  
Energy Structure ◽  
Reference Scenario ◽  
Low Carbon ◽  
The Impact

In view of the complexity of the energy system and its complex relationship with socio-economic factors, this study adopts the Long-range Energy Alternative Planning (LEAP) model, a technology-based, bottom-up approach, scenario-based analysis, to develop a systematic analysis of the current and future energy consumption, supply and associated Green House Gas (GHG) emissions from 2015 to 2050. The impact of various energy policies on the energy system in Hebei Province was analysed by considering four scenarios: a Reference Scenario (REF), Industrial Structure Optimization Scenario (ISO), Terminal Consumption Structure Optimization Scenario (TOS) and Low-carbon Development Scenario (LCD). By designing strategic policies from the perspective of industrial adjustment, aggressive energy structure policies and measures, such as the ISO and the TOS, and even more aggressive options, such as the LCD, where the percentage of cleaner alternative energy sources has been further increased, it has been indicated that energy consumption will have increased from 321.618 million tonnes of coal equivalent (Mtce) in 2015 to 784.88 Mtce in 2050 in the REF, with a corresponding increase in GHG emissions from 920.56 million metric tonnes (Mt) to 2262.81 Mt. In contrast, the more aggressive policies and strategies involved in the LCD, which combines the ISO with the policy-oriented TOS, can lower energy consumption by 50.82% and CO2 emissions by 64.26%. The results shed light on whether and how these scenarios can shape the energy-carbon emission reduction trajectories and develop the low-carbon pathways in Hebei Province.

scholarly journals Low-carbon development via greening global value chains: a case study of Belarus

2020 ◽  
Vol 476 (2239) ◽  
pp. 20200024
Author(s):  
Huiqing Wang ◽  
Yixin Hu ◽  
Heran Zheng ◽  
Yuli Shan ◽  
Song Qing ◽  
...  
Keyword(s):  
International Trade ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Clean Energy ◽  
Global Value Chains ◽  
Value Chains ◽  
Energy Structure ◽  
Low Carbon ◽  
Low Carbon Development ◽  
Plastic Products

The rise of global value chains (GCVs) has seen the transfer of carbon emissions embodied in every step of international trade. Building a coordinated, inclusive and green GCV can be an effective and efficient way to achieve carbon emissions mitigation targets for countries that participate highly in GCVs. In this paper, we first describe the energy consumption as well as the territorial and consumption-based carbon emissions of Belarus and its regions from 2010 to 2017. The results show that Belarus has a relatively clean energy structure with 75% of Belarus' energy consumption coming from imported natural gas. The ‘chemical, rubber and plastic products' sector has expanded significantly over the past few years; its territorial-based emissions increased 10-fold from 2011 to 2014, with the ‘food processing' sector displaying the largest increase in consumption-based emissions. An analysis of regional emissions accounts shows that there is significant regional heterogeneity in Belarus with Mogilev, Gomel and Vitebsk having more energy-intensive manufacturing industries. We then analysed the changes in Belarus' international trade as well as its emission impacts. The results show that Belarus has changed from a net carbon exporter in 2011 to a net carbon importer in 2014. Countries along the Belt and Road Initiative, such as Russia, China, Ukraine, Poland and Kazakhstan, are the main trading partners and carbon emission importers/exporters for Belarus. ‘Construction’ and ‘chemical, rubber and plastic products' are two major emission-importing sectors in Belarus, while ‘electricity' and ‘ferrous metals' are the primary emission-exporting sectors. Possible low-carbon development pathways are discussed for Belarus through the perspectives of global supply and the value chain.

scholarly journals The Determinants of Carbon Emissions in the Chinese Construction Industry: A Spatial Analysis

2020 ◽  
Vol 12 (4) ◽  
pp. 1428 ◽  
Author(s):  
Na Lu ◽  
Shuyi Feng ◽  
Ziming Liu ◽  
Weidong Wang ◽  
Hualiang Lu ◽  
...  
Keyword(s):  
Construction Industry ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Spillover Effects ◽  
Energy Structure ◽  
Chinese Government ◽  
Low Carbon ◽  
Industry Agglomeration ◽  
Technology Innovations ◽  
Growth Energy

As the largest carbon emitter in the world, China is confronted with great challenges of mitigating carbon emissions, especially from its construction industry. Yet, the understanding of carbon emissions in the construction industry remains limited. As one of the first few attempts, this paper contributes to the literature by identifying the determinants of carbon emissions in the Chinese construction industry from the perspective of spatial spillover effects. A panel dataset of 30 provinces or municipalities from 2005 to 2015 was used for the analysis. We found that there is a significant and positive spatial autocorrelation of carbon emissions. The local Moran’s I showed local agglomeration characteristics of H-H (high-high) and L-L (low-low). The indicators of population density, economic growth, energy structure, and industrial structure had either direct or indirect effects on carbon emissions. In particular, we found that low-carbon technology innovation significantly reduces carbon emissions, both in local and neighboring regions. We also found that the industry agglomeration significantly increases carbon emissions in the local regions. Our results imply that the Chinese government can reduce carbon emissions by encouraging low-carbon technology innovations. Meanwhile, our results also highlight the negative environmental impacts of the current policies to promote industry agglomeration.

scholarly journals Analysis of China’s Carbon Emissions Base on Carbon Flow in Four Main Sectors: 2000–2013

2017 ◽  
Author(s):  
Xin Li ◽  
Xiandan Cui ◽  
Minxi Wang
Keyword(s):  
Co2 Emissions ◽  
Carbon Emissions ◽  
Carbon Flow ◽  
Emissions Reduction ◽  
Energy Structure ◽  
Low Carbon ◽  
Coal Consumption ◽  
Co2 Intensity ◽  
Secondary Industry ◽  
The Government

Reducing carbon emissions is a major ways to achieving green development and sustainability for China’s future. This paper elaborates the detailed feature of China's carbon flow for 2013 with the carbon flow chart and gives changing characteristics of China's CO2 flow from the viewpoint of sector and energy during 2000 and 2013. The results show that (1) during 2000 to 2013, China's CO2 emissions with the approximately growth portion of 9% annually, while the CO2 intensity of China diminishes at different rates. (2) The CO2 emissions from secondary industry are prominent from the perspective of four main sectors accounting for 83.5%. The manufacturing play an important part in the secondary industry with 45%. In which the "smelting and pressing of metal" takes up a large percentage as about 50% in manufacturing. (3) The CO2 emissions produced by coal consumption is keep dominant in energy-related emissions with a contribution of 65%, while it will decrease in the future. (4) From the aspect of sector, the CO2 emissions mainly come from the "electricity and heating" sector and the "smelting and pressing of metals" sub-sector. While it is essential and urgent to propose concrete recommendations for CO2 emissions mitigation. Firstly, the progression of creative technology is inevitable and undeniable. Secondly, the government should make different CO2 emissions reduction policies among different sectors. For example, the process emission plays an important role in "non-metallic mineral" while in "smelting and manufacturing of metals" it is energy. Thirdly, the country can change the energy structure and promote renewable energy for powering by wind or other low-carbon energy. Besides it, the coke oven gas can be a feasible substitution. Finally, policy maker should be aware of the emissions from residents have been growing in a fast rate. It is effective to involve the public in the activity of energy conservation and carbon emissions reduction such as reducing the times of personal transportation.

Hebei Electric Power Energy Structure and the Power Supply and Demand Prediction under the Low-Carbon Economy - Analysis Based on the Gray GM (1,1) Model

2013 ◽  
Vol 756-759 ◽  
pp. 3052-3056
Author(s):  
Yuan Sheng Hang ◽  
Qing Zhu
Keyword(s):  
Electric Power ◽  
Power Supply ◽  
Structure Prediction ◽  
Supply And Demand ◽  
Electric Power Industry ◽  
Power Structure ◽  
Hebei Province ◽  
Scientific Development ◽  
Energy Structure ◽  
Low Carbon

The electric power industry is the largest CO2 emitting sector in the national economy. So optimize the power structure is an important part of energy conservation. This article selected the data of power supplydemand and the power structure in Hebei Province from 2004 to 2011 on the basis of the analysis of the power structure. It established a short-term prediction model based on gray theory, and made the power supply and demand situation and the power structure prediction of Hebei province in the next five years, and provides a reference for the scientific development of the power structure optimization of Hebei Province in the low-carbon context.

Hebei Province Low Carbon Economy SWOT Analysis

2014 ◽  
Vol 1073-1076 ◽  
pp. 2822-2825
Author(s):  
Yan Qing Nie
Keyword(s):  
Swot Analysis ◽  
Industrial Structure ◽  
Hebei Province ◽  
Energy Structure ◽  
Low Carbon ◽  
Analysis Method ◽  
Development Environment ◽  
Low Carbon Economy ◽  
New Energy ◽  
Carbon Economy

Hebei province as a great province of energy, its economic development and industrial structure highly dependent on energy. Developing low carbon economy is great significance to Hebei. This article used SWOT analysis method to analyze the advantage, weaknesses, opportunities and threats of low carbon economy of Hebei province. The author put forward countermeasures such as seizing the historical opportunity, creating low carbon development environment, developing new energy industries, optimizing energy structure, adjusting the industrial layout, optimizing the industrial structure.

scholarly journals Examining the Effects of Land Use on Carbon Emissions: Evidence from Pearl River Delta

2021 ◽  
Vol 18 (7) ◽  
pp. 3623
Author(s):  
Yabo Zhao ◽  
Shifa Ma ◽  
Jianhong Fan ◽  
Yunnan Cai
Keyword(s):  
Land Use ◽  
Energy Efficiency ◽  
Economic Development ◽  
Spatial Distribution ◽  
Land Use Change ◽  
Carbon Emissions ◽  
Pearl River Delta ◽  
Pearl River ◽  
Energy Structure ◽  
Low Carbon

Land-use change accounts for a large proportion of the carbon emissions produced each year, especially in highly developed urban agglomerations. In this study, we combined remote sensing data and socioeconomic data to estimate land-use-related carbon emissions, and applied the logarithmic mean Divisia index (LMDI) method to analyze its influencing factors, in the Pearl River Delta (PRD) of China in 1990–2015. The main conclusions are as follows: (1) The total amount of land-use-related carbon emissions increased from 684.84 × 104 t C in 1990 to 11,444.98 × 104 t C in 2015, resulting in a net increase of 10,760.14 × 104 t (16.71 times). (2) Land-use-related carbon emissions presented a “higher in the middle and lower on both sides” spatial distribution. Guangzhou had the highest levels of carbon emissions, and Zhaoqing had the lowest; Shenzhen experienced the greatest net increase, and Jiangmen experienced the least. (3) The land-use-related carbon emissions intensity increased from 4795.76 × 104 Yuan/t C to 12,143.05 × 104 Yuan/t C in 1990–2015, with the greatest increase seen in Huizhou and the lowest in Zhongshan. Differences were also found in the spatial distribution, with higher intensities located in the south, lower intensities in the east and west, and medium intensities in the central region. (4) Land-use change, energy structure, energy efficiency, economic development, and population all contributed to increases in land-use-related carbon emissions. Land-use change, economic development and population made positive contributions, while energy efficiency and energy structure made negative contributions. At last, we put forward several suggestions for promoting low-carbon development, including development of a low-carbon and circular economy, rationally planning land-use structure, promoting reasonable population growth, improving energy efficiency and the energy consumption structure, and advocating low-carbon lifestyles. Our findings are useful in the tasks related to assessing carbon emissions from the perspective of land-use change and analyzing the associated influencing factors, as well as providing a reference for realizing low-carbon and sustainable development in the PRD.

scholarly journals Opportunities and Challenges of China’s Low-Carbon Economic Development in the New Era

2021 ◽  
Vol 275 ◽  
pp. 02058
Author(s):  
Zhang Chen ◽  
Tong Yixuan
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Driving Factors ◽  
Utilization Efficiency ◽  
Energy Structure ◽  
Low Carbon ◽  
New Era ◽  
Low Carbon Economy ◽  
Man And Nature ◽  
Carbon Economy

In the context of the increasingly severe global greenhouse effect, the “14th Five-Year Plan” proposes to “promote green development and promote harmonious coexistence between man and nature”, which provides a new platform for the faster and better development of low-carbon countries. The low-carbon economy has entered a high-quality stage of China’s economic development in the new era, which is of great significance to the overall green transformation of China’s economic and social development. In order to assess the development level of China’s low-carbon economy, this paper estimates the carbon emissions and carbon emission intensity of energy consumption from 2008 to 2017 and applies the LMDI model to decompose the influencing factors of carbon emissions, analyzes the contribution rate of driving factors, and proposes energy saving, emission reduction and low carbon. Developmental countermeasures. The results show that economic growth and energy intensity are the biggest driving factors for promoting and suppressing carbon emissions, respectively. Measures are taken to improve energy structure, increase utilization efficiency, develop low-carbon industries, and promote low-carbon life.

scholarly journals Land Use Optimization and Simulation of Low-Carbon-Oriented—A Case Study of Jinhua, China

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1020
Author(s):  
Shiqi Huang ◽  
Furui Xi ◽  
Yiming Chen ◽  
Ming Gao ◽  
Xu Pan ◽  
...  
Keyword(s):  
Land Use ◽  
Carbon Emissions ◽  
Eastern China ◽  
High Rate ◽  
Energy Structure ◽  
Cultivated Land ◽  
Low Carbon ◽  
Land Use Pattern ◽  
Construction Land ◽  
Use Pattern

Land-use change is an important contributor to atmospheric carbon emissions. Taking Jinhua city in eastern China as an example, this study analyzed the effects on carbon emissions by land-use changes from 2005 to 2018. Then, carbon emissions that will be produced in Jinhua in 2030 were predicted based on the land-use pattern predicted by the CA-Markov model. Finally, a low-carbon optimized land-use pattern more consistent with the law of urban development was proposed based on the prediction and planning model used in this study. The results show that (1) from 2005 to 2018, the area of land used for construction in Jinhua continued to increase, while woodland and cultivated land areas decreased. Carbon emissions from land use rose at a high rate. By 2018, carbon emissions had increased by 1.9 times compared to 2015. (2) During the 2010–2015 period, the total concentration of carbon emissions decreased due to decreases in both the rate of growth in construction land and the rate of decline in a woodland area, as well as an adjustment of the energy structure and the use of polluting fertilizer and pesticide treatments. (3) The carbon emissions produced with an optimal land-use pattern in 2030 are predicted to reduce by 19%. The acreage of woodland in Jinhua’s middle basin occupied by construction land and cultivated land is predicted to reduce. The additional construction land will be concentrated around the main axis of the Jinhua-Yiwu metropolitan area and will exhibit a characteristic ribbon-form with more distinct clusters. The optimized land-use pattern is more conducive to carbon reduction and more in line with the strategy of regional development in the study area. The results of this study can be used as technical support to optimize the land-use spatial pattern and reduce urban land’s contribution to carbon emissions.

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