China City Industrial Structure Planning and Industry Trends of Low Carbon Economy

2012 ◽  
Vol 573-574 ◽  
pp. 977-983
Author(s):  
Yu Xing Chen ◽  
Hui Luo

The article in had the selection based on industrial energy consumption, industrial energy intensity, industrial carbon dioxide emissions, industrial carbon dioxide Emissions intensity and industrial carbon productivity index analysis such as China's industrial economic development three stages of evolution characteristics of low carbon, and according to the 1985 ~ 2007 China work Industry economic data through the regression analysis forecast industry a low carbon economy future development tendency. The analysis results show that, from 1985 to 2007 years although energy consumption Quantity and industrial carbon emissions overall a growing trend, but the industrial strength of energy consumption declined, industrial carbon production ability enhancement, industrial energy intensity reducing to reduce co2 emissions larger contribution, based on this proposed to promote the development of China's industrial low carbon specific Suggestions.

2015 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Nomin-Erdene Chimeddorj

Currently, the global economic growth model is based on the input of resources, especially the input of energy. Throughout the energy structures all over the world, mostly coal, oil, natural gas and other high-carbon fossil fuels, and those high-carbon fossil fuels have become the main source of atmospheric carbon dioxide and other greenhouse gases. Economic growth and energy consumption, there should be causal relationship between economic growth and carbon dioxide emissions, the economic growth model can get rid of the fossil energy constraints, whereas carbon dioxide emissions can be disconnected from the economic growth, to cope with these problems facing the development of low-carbon economy in Mongolia. The research makes use of time-series model to test the causal relationship between economic growth and energy consumption, economic growth and carbon dioxide emissions as well as between energy consumption and carbon dioxide emissions.


2014 ◽  
Vol 1010-1012 ◽  
pp. 1854-1857
Author(s):  
Xiao Na Li ◽  
Yuan Zhang

In advocating the principle of sustainable development, urban development calls for reducing the carbon dioxide emissions to promote low carbon economy. Low-carbon design is the foundation and effective method of low-carbon economy development. By analyzing the principles of low-carbon urban development, methods of low-carbon design were discussed so as to guide people's low carbon consumption and reduce carbon footprint. Low-carbon design process was proposed at last. In this way, the development of low-carbon urban could be carried out by starting from the source.


2015 ◽  
Vol 737 ◽  
pp. 925-934 ◽  
Author(s):  
Jing Yang ◽  
Huan Mei Yao ◽  
Meng Lin Qin

According to IPCC carbon emission calculation instruction, the amount of industrial carbon emission of downtown of Nanning from 2003-2012 is evaluated. With LMDI element decomposition method, the carbon emission of industrial energy consumption in Nanning downtown is decomposed into effect of five aspects such as energy structure, energy intensity, industrial structure, economic scale and population size. It turns out that: the energy structure change can promote the increase of carbon emission. The energy consumption structure should be optimized and the proportion of high-carbon energy consumption should be reduced; The energy intensity is the leading driving factor of carbon emission. The energy efficiency should be further improved to control the increase of carbon emission to some degree; The industrial structure restrains the increase of carbon emission in a great degree. Industrial restructuring should be strengthened and low-carbon industry should be developed; The scale of economy is the main driving factor of the increase of carbon emission. The extensive way of economic growth which depends on the large input of production factors should be changed; The population has a promoting function the increase of carbon emission, while the driving effect is weak, and the growth rate of the population should be strictly controlled.


2011 ◽  
Vol 361-363 ◽  
pp. 1954-1959
Author(s):  
Xiao Yu Liu ◽  
Hai Lin Mu ◽  
Hua Nan Li ◽  
Miao Li

In this paper, we utilize Logarithmic Mean Divisia Index (LMDI) techniques to decompose different components —CO2 emission factor, industrial energy mix, industrial energy intensity, industrial-scale structure, industrial structure, economic activity, family size and family households—which contribute to the changes in CO2 emissions in Dalian industry sector based on industry economy and CO2 emissions data in Dalian from 2000 to 2009. The results show that the economic activity was the main component for CO2 emissions increase, and energy intensity was the most favorable component in developing low-carbon economy in Dalian industry sector, and optimize energy mix could contribute to a significant reduction in CO2 emissions.


2014 ◽  
Vol 02 (01) ◽  
pp. 1450007
Author(s):  
Shouxian ZHU ◽  
Jianhua DING ◽  
Guiyang ZHUANG

On November 26, 2009, China announced to the world that China would reduce the intensity of carbon dioxide emissions per unit of GDP in 2020 by 40% to 45% compared with the level of 2005. This is "a voluntary action" taken by the Chinese government based on national conditions and was a major contribution to the global effort in tackling climate change. As a province with a large population, surging economy, and huge energy consumption, Guangdong has pioneered policy research and has run pilot projects, seeking to upgrade its industries and to explore an innovative path toward sustainable development and a low-carbon economy. Energy is a fundamental element of low-carbon development and is critical for building a low-carbon society. This paper analyzes the energy base and energy consumption patterns of Guangdong province, exploring its energy mix, self-supply ratio, energy intensity per unit GDP, energy consumption elasticity, and energy quotas for products and industries. The paper uses three low-carbon indicators — carbon productivity, energy consumption and carbon emission per capita, and energy intensity — to analyze and compare energy patterns in Guangdong and in China as a whole. Finally, the paper proposes energy demand trends along with a roadmap for low-carbon development for Guangdong. This paper can also serve as a reference for other provinces seeking low-carbon development in China.


2021 ◽  
Vol 11 (5) ◽  
pp. 2009
Author(s):  
Valerii Havrysh ◽  
Antonina Kalinichenko ◽  
Anna Brzozowska ◽  
Jan Stebila

The depletion of fossil fuels and climate change concerns are drivers for the development and expansion of bioenergy. Promoting biomass is vital to move civilization toward a low-carbon economy. To meet European Union targets, it is required to increase the use of agricultural residues (including straw) for power generation. Using agricultural residues without accounting for their energy consumed and carbon dioxide emissions distorts the energy and environmental balance, and their analysis is the purpose of this study. In this paper, a life cycle analysis method is applied. The allocation of carbon dioxide emissions and energy inputs in the crop production by allocating between a product (grain) and a byproduct (straw) is modeled. Selected crop yield and the residue-to-crop ratio impact on the above indicators are investigated. We reveal that straw formation can consume between 30% and 70% of the total energy inputs and, therefore, emits relative carbon dioxide emissions. For cereal crops, this energy can be up to 40% of the lower heating value of straw. Energy and environmental indicators of a straw return-to-field technology and straw power generation systems are examined.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stuti Haldar ◽  
Gautam Sharma

Purpose The purpose of this study is to investigate the impacts of urbanization on per capita energy consumption and emissions in India. Design/methodology/approach The present study analyses the effects of urbanization on energy consumption patterns by using the Stochastic Impacts by Regression on Population, Affluence and Technology in India. Time series data from the period of 1960 to 2015 has been considered for the analysis. Variables including Population, GDP per capita, Energy intensity, share of industry in GDP, share of Services in GDP, total energy use and urbanization from World Bank data sources have been used for investigating the relationship between urbanization, affluence and energy use. Findings Energy demand is positively related to affluence (economic growth). Further the results of the analysis also suggest that, as urbanization, GDP and population are bound to increase in the future, consequently resulting in increased carbon dioxide emissions caused by increased energy demand and consumption. Thus, reducing the energy intensity is key to energy security and lower carbon dioxide emissions for India. Research limitations/implications The study will have important policy implications for India’s energy sector transition toward non- conventional, clean energy sources in the wake of growing share of its population residing in urban spaces. Originality/value There are limited number of studies considering the impacts of population density on per capita energy use. So this study also contributes methodologically by establishing per capita energy use as a function of population density and technology (i.e. growth rates of industrial and service sector).


2012 ◽  
Vol 573-574 ◽  
pp. 831-835 ◽  
Author(s):  
Yu Wei He ◽  
Jin Rong Jiang

Low-carbon economy was an inevitable choice in response to climate warming. With the deep analysis of the environmental Kuznets curve (EKC), this paper used two models to analyze the relationship between the growth of a country’s economic and the quantity of pollutants produced in the process. The empirical study compare the two groups of samples, which described energy consumption per unit of industrial added value, each group contains five symbolic provinces or municipalities in coastal and western areas. The outcome proved the positive significance of technology innovation.


2021 ◽  
Vol 275 ◽  
pp. 02009
Author(s):  
Lixing Zhou

In the background of the rapid development of market economy, a large number of carbon dioxide emissions, leads to the obvious imbalance of carbon in nature. In recent years, the global temperature is getting warmer, the sea level is rising year by year, and the grain production is also significantly reduced, which will bring a great threat to the normal survival and development of human beings. In order to protect the environment on which human beings live, low carbon economy is put forward. Under the environment of low carbon economy, private enterprises are not only facing new development opportunities. At the same time, private enterprises are also facing new development challenges. If they want to develop further, they must actively deal with them. The author analyzes the opportunities and challenges faced by private enterprises under the environment of low carbon economy, and puts forward specific countermeasures, hoping to be helpful to the long-term development of private enterprises.


2013 ◽  
Vol 316-317 ◽  
pp. 435-440
Author(s):  
Bei Bei Jiao ◽  
Pei Ji Shi

Low-carbon tourism is proposed as a new pattern to develop the global low-carbon economy, which goes with the tide in the global climate of change. Because tourism industry has a so close association with another industries that almost every link of tourism activities could be related to energy consumption and CO2 emission. So, energy conservation and emission reduction constitute an important part of developing low-carbon tourism. This article selects GanSu Province, the weak ecological environment, as the research object. In accordance with the documents research and mathematical statistics , and the "bottom-up" study method., we made an research on energy consumption and the CO2 emission of GanSu province from the tourism travel , tourism accommodation, and tourism activities, respectively. From the result, GanSu's tourism with low-carbon and energy-saving characteristics, accounting for 0.45% energy consumptions and 0.86% CO2 emission in that of the GanSu's tourism. It shows that tourism fits in with the requirements of low-carbon tourism development. However, one of the most important factor in the tourism energy consumption and the CO2 emission is the tourism transportation, accounting for 68.83% energy consumptions and 65.96% CO2 emission in that of tourism respectively, which should be focus on as the key link in low-carbon tourism development.


Sign in / Sign up

Export Citation Format

Share Document