The Assessment and Reduction Approaches of the Carbon Emission in Jiangmen, China

2013 ◽  
Vol 734-737 ◽  
pp. 1852-1860 ◽  
Author(s):  
Bang Zhu Zhu ◽  
Qiu Ju Zhang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
High Speed ◽  
Industrial Structure ◽  
Low Carbon ◽  
Carbon Policy ◽  
Factors Affecting ◽  
Main Factors ◽  
Precise Relationship ◽  
Set Up

Jiangmen in middle industrialization, in the high-speed economic development and at the same time energy consumption growing fast, are accompanied by a rise in Carbon dioxide emissions.In order to find out the main factors affecting the carbon emissions of Jiangmen, and reduce carbon emissions, this paper recommended 1990-2010 energy consumption carbon emissions of Jiangmen based on the method IPCC assessment . The ridge regression model based on the STIRPAT was set up to describe the environmental impact and the precise relationship between driving force. At last, some Suggestions were put forward : adjusting the industrial structure, changing the mode of economic growth, and the use of low carbon technology, building good real estate development of low carbon policy environment.

Carbon Emission of Mining Industry’s Energy Consumption in Heilongjiang Province

2015 ◽  
Vol 1092-1093 ◽  
pp. 1597-1600
Author(s):  
Zhong Hua Wang ◽  
Xin Ye Chen
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Industrial Structure ◽  
Mining Industry ◽  
Calculation Model ◽  
Energy Utilization ◽  
Utilization Efficiency ◽  
Heilongjiang Province ◽  
Low Carbon

The need to reduce carbon emission in Heilongjiang Province of China is urgent challenge facing sustainable development. This paper aims to make explicit the problem-solving of carbon emission to find low carbon emission ways. According to domestic and foreign literatures on estimating and calculating carbon emissions and by integrating calculation methods of carbon emissions, it was not possible to consider all of the many contributions to carbon emissions. Calculation model of carbon emissions suitable to this paper is selected. The carbon emissions of energy consumption in mining industry are estimated and calculated from 2005 to 2012, and the characteristics of carbon emission are analyzed at the provincial level. It makes the point that carbon emissions of energy consumption in mining industry can be reduced when we attempt to alter energy consumption structure, adjust industrial structure and improve energy utilization efficiency.

Association between Carbon Emissions and Energy Consumption Structure in Hebei Province

2014 ◽  
Vol 955-959 ◽  
pp. 2607-2612
Author(s):  
Chun Hua Zhao ◽  
Yu E Wang ◽  
Dong Sheng He
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Total Energy ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Utilization Efficiency ◽  
Structure Evolution ◽  
Low Carbon ◽  
Total Energy Consumption ◽  
Consumption Structure

Based on the results of SSM, regional natural endowment conditions, the stage of economic development and the industrial structure evolution determine the energy consumption structure, while the changes in total energy consumption determine the changes in amount of carbon emissions. Under the premise of the total energy consumption is determined, the optimization of energy consumption structure will reduce the carbon intensity (emissions per unit of GDP), that is to achieve low-input, low-emission energy, high output, which is the essence of the low carbon economic development model. Hebei Energy consumption is heavily dependent on coal; however, coal utilization efficiency is low and unit energy carbon emissions are huge, therefore, energy structure dominated by carbon-based energy is a long-term constraint of the development of low carbon economy. Energy consumption structure is composed of regional natural endowments, the stage of economic development and industrial structure, and it is difficult to change in the short term.

CO2 Emissions and Economic Growth in Western China: An Empirical Analysis Based on Panel Data for Western Provinces

2012 ◽  
Vol 573-574 ◽  
pp. 690-695 ◽  
Author(s):  
Jin Rong Jiang ◽  
Shao Wei Chen ◽  
Pei Yu Ren
Keyword(s):  
Panel Data ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Policy Implications ◽  
Western China ◽  
Factors Affecting ◽  
Consumption Structure ◽  
Empirical Results ◽  
Negative Effect ◽  
Main Factors

This paper examines the factors that affect carbon emissions based on the panel data for 9 western provinces in China over the period 1990–2009. Our empirical results show that the output size, industrial structure and energy consumption structure are the main factors affecting carbon emissions, and the income level has a negative effect to carbon emissions. Some policy implications of the empirical results have finally been proposed

scholarly journals Research on the compilation of low carbon planning guidelines for Changxing County, China

2020 ◽  
Author(s):  
Rong Guo ◽  
◽  
Xiaochen Wu ◽  
Tong Wu ◽  
◽  
...  
Keyword(s):  
Economic Development ◽  
Carbon Emissions ◽  
Industrial Structure ◽  
Small Towns ◽  
Energy Structure ◽  
Low Carbon ◽  
Main Factors ◽  
Reform And Opening Up ◽  
The City ◽  
Opening Up

In the past 40 years since China's reform and opening up, the city has been developing rapidly. Small towns are faced with the challenges of extensive development, degradation of human settlements and dif iculty in retaining local characteristics. Therefore, in the development process of small towns, we should not only pay attention to economic development, but also energy conservation and emission reduction, and pay attention to the protection of local characteristics.This paper calculates the carbon emissions of energy consumption in Changxing County from 2002 to 2017, and analyzes the main factors and degree of carbon emissions in Changxing County by using Kaya identities based on the carbon emissions decomposition model. The results show that the carbon emissions of Changxing County increased year by year, but the growth rate showed a downward trend. The ef ect of economic development and energy intensity has a great contribution to the carbon emissions of Changxing County. Industrial structure ef ect, energy structure ef ect and population size ef ect have little contribution to carbon emissions. Combined with the current situation and main factors of carbon emissions in Changxing County, this paper puts forward the compilation ideas and framework of low-carbon planning guidelines of Changxing County from six characteristic spaces , so as to provide the thinking and practical basis for the low-carbon construction of small towns.

scholarly journals Analysis of total carbon emission of the logistics industry in Guangdong and solutions to emission reduction

2021 ◽  
Vol 245 ◽  
pp. 01020
Author(s):  
Aixia Xu ◽  
Xiaoyong Yang
Keyword(s):  
Energy Consumption ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Energy Utilization ◽  
Total Carbon ◽  
Utilization Rate ◽  
Low Carbon ◽  
Logistics Industry ◽  
Direct Energy ◽  
Reduce Emissions

The input-output method is employed in this study to measure the total carbon emission of the logistics industry in Guangdong. The findings revealed that the carbon emission of direct energy consumption of the logistics industry in Guangdong is far above the actual carbon emissions, the second and third industries play a significant role in carbon emission of indirect energy consumption in the logistics industry in Guangdong. To reduce energy consumption and carbon emissions in Guangdong, it is not only important to control the carbon emissions in the logistics industry, but strengthen carbon emission detection in relevant industries, improve the energy utilization rate and reduce emissions in other industries, and move towards low-carbon sustainable development.

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.

The Study on Impact Degree between Carbon Emissions and Economic Growth in the Construction Industry of Five Northwestern Provinces

2013 ◽  
Vol 838-841 ◽  
pp. 2818-2822
Author(s):  
Su Xian Zhang ◽  
Xian Wei Tang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Construction Industry ◽  
Development Strategy ◽  
Carbon Emissions ◽  
High Energy ◽  
Low Carbon ◽  
Western Development ◽  
High Energy Consumption ◽  
Great Stress

With the highly praised development of low-carbon and implementation of western development strategy, the various industries of northwest faced great stress with how to weigh the economic growth and reduce carbon emissions. In this study, based on the data about energy consumption and GDP in the construction industry of five northwestern provinces, and estimates the carbon emissions of construction indirectly. Then combined withDecoupling Theoryanalysis the interacted impact among carbon emissions, energy consumption and economic growth in the construction industry of five northwestern provinces .The results shows that the development of construction industry in provinces is still based on high energy consumption and high carbon emissions, but each impact degree of them are different. Finally, put some suggest improvements to reduce the energy consumption and carbon emissions in the construction industry path of five northwestern provinces.

Energy Consumer Demand Predict of Hebei Province in the Domain of Low-Carbon Economy — Analysis Based on Gray Model GM (1,1)

2013 ◽  
Vol 380-384 ◽  
pp. 4456-4460
Author(s):  
Ju Qin Wang ◽  
Bao Lin Li
Keyword(s):  
Energy Consumption ◽  
Industrial Structure ◽  
Hebei Province ◽  
Scientific Development ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
The Face ◽  
Consumption Situation ◽  
World Economic ◽  
Carbon Economy

The face of the world economic development has transitioned to a low-carbon economy, in order to meet the dual challenges of climate change and scientific development, the development of low-carbon economy has become the reality of the development of key choice. In this background, based on energy consumption situation in Hebei Province,we use GM (1,1) gray prediction model to predict Hebei Provinces energy consumption and energy consumption structure in 2003-2010. Based on the analysis of the results, support from the policies, laws, and adjust the industrial structure, promote the three levels of the low-carbon concept has made a number of recommendations for the Hebei Province future energy planning and low-carbon development.

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