Study on Conduction Paths of Carbon Footprint of Energy Sources Industry among Industries in Henan Province

2012 ◽  
Vol 616-618 ◽  
pp. 1185-1189
Author(s):  
Qing Xin Liu

According to Input-Output table portraying the conduction path of carbon footprint among industries, and define the impact of the energy sources industry for other industries on carbon emissions, the paper provide specific and workable methods for energy saving and emission reduction. Constructing the input-output model of carbon footprint of Henan Province by Input-Output method based on the energy consumption data. Using input coefficient, output coefficient and the method of triangulation, identify conduction path of carbon footprint of the energy sources industry among industries in Henan Province. According to the analysis of energy industry in Henan province, the paper introduces the characteristic of carbon emissions of the energy industry and Put forward the ideas of energy conservation and emission reduction taking the energy industry as the breakthrough point.

2018 ◽  
Vol 10 (12) ◽  
pp. 4626 ◽  
Author(s):  
Min Huang ◽  
Yimin Chen ◽  
Yuanying Zhang

China has been the largest carbon emitter in the world since 2007 and is thus confronted with huge emission reduction pressures. The regional differences in socio-economic development lead to complex inter-provincial carbon transfer in China, which hinders the determination of the emission reduction responsibilities for the various provinces. Based on the latest multi-regional input-output data, this study analyzes the carbon footprint, inter-provincial carbon transfer, and the corresponding variations of 30 provinces in China from 2007 to 2010. The results show that the domestic carbon footprint increased from 4578 Mt in 2007 to 6252 Mt in 2010. Provinces with high carbon footprints were mainly found in central China, such as Shandong, Jiangsu, and Henan. Carbon footprints of the developed coastal provinces were greater than those of less developed provinces in Northwestern China. Per capita GDP (Gross Domestic Product) was positively correlated to the per capita carbon footprint, indicating a positive relationship between the economic development level and corresponding carbon emissions. Provincial carbon inflows were found to have increased steadily (ranging between 32% and 41%) from 2007 to 2010. The increases in direct carbon emissions varied largely among different provinces, ranging from below 30% in the developed provinces to more than 60% in the moderately developed provinces (e.g., Sichuan and Chongqing). The embodied carbon transferred from moderately developed or remote provinces to those developed ones. In other words, the carbon emission pressures of the developed provinces were shifted to the less developed provinces. The major paths of carbon flow include the transfers from Hebei to Jiangsu (32.07 Mt), Hebei to Beijing (26.78 Mt), Hebei to Zhejiang (25.60 Mt), and Liaoning to Jilin (27.60 Mt).


2020 ◽  
Vol 4 (1) ◽  
pp. 13-26
Author(s):  
Sally Olasogba ◽  
Les DUCKERS

Abstract: Aim: According to COP23, Climate Change threatens the stability of the planet’s ecosystems, with a tipping point believed to be at only +2°C.  With the burning of fossil fuels, held responsible for the release of much of the greenhouse gases, a sensible world- wide strategy is to replace fossil fuel energy sources with renewable ones. The renewable resources such as wind, hydro, geothermal, wave and tidal energies are found in particular geographical locations whereas almost every country is potentially able to exploit PV and biomass. This paper examines the role that changing climate could have on the growing and processing of biomass. The primary concern is that future climates could adversely affect the yield of crops, and hence the potential contribution of biomass to the strategy to combat climate change. Maize, a C4 crop, was selected for the study because it can be processed into biogas or other biofuels. Four different Nigerian agricultural zones growing maize were chosen for the study. Long-term weather data was available for the four sites and this permitted the modelling of future climates. Design / Research methods: The results of this study come from modelling future climates and applying this to crop models. This unique work, which has integrated climate change and crop modelling to forecast yield and carbon emissions, reveals how maize responds to the predicted increased temperature, change in rainfall, and the variation in weather patterns. In order to fully assess a biomass crop, the full energy cycle and carbon emissions were estimated based on energy and materials inputs involved in farm management: fertilizer application, and tillage type. For maize to support the replacement strategy mentioned above it is essential that the ratio of energy output to energy input exceeds 1, but of course it should be as large as possible. Conclusions / findings: Results demonstrate that the influence of climate change is important and in many scenarios, acts to reduce yield, but that the negative effects can be partially mitigated by careful selection of farm management practices. Yield and carbon footprint is particularly sensitive to the application rate of fertilizer across all locations whilst climate change is the causal driver for the increase in net energy and carbon footprint at most locations. Nonetheless, in order to ensure a successful strategic move towards a low carbon future, and sustainable implementation of biofuel policies, this study provides valuable information for the Nigerian government and policy makers on potential AEZs to cultivate maize under climate change. Further research on the carbon footprint of alternative bioenergy feedstock to assess their environmental carbon footprint and net energy is strongly suggested. Originality / value of the article: This paper extends the review on the impact of climate change on maize production to include future impacts on net energy use and carbon footprint using a fully integrated assessment framework. Most studies focus only on current farm energy use and historical climate change impact on farm GHG emissions.   


2019 ◽  
Vol 11 (16) ◽  
pp. 4387 ◽  
Author(s):  
Lin ◽  
Zhang ◽  
Wang ◽  
Yang ◽  
Shi ◽  
...  

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.


2018 ◽  
Vol 24 (5) ◽  
pp. 510-525 ◽  
Author(s):  
Meiwei Tang ◽  
Shouzhong Ge

This article explores the issues of carbon dioxide (CO2) emissions resulting from the production of the goods and services provided to supply tourism consumption. First, we define the scope of tourism activities and the resulting tourism consumption and tourism direct gross value added (TDGVA). Second, we calculate CO2 emissions for sectors and compile a carbon input-output table (CIOT). Third, we adjust the tourism-related products consumed according to the range of the corresponding sectors of the CIOT. Finally, we use Shanghai as an example to calculate the carbon emissions that result from tourism consumption using the input-output model. This study shows that the TDGVA accounted for 7.97% of the Gross Domestic Product (GDP) in 2012, whereas the carbon footprint of tourism accounted for 20.45% of total carbon emissions. The results demonstrate that tourism is not a low-carbon industry in Shanghai.


2014 ◽  
Vol 936 ◽  
pp. 2368-2373
Author(s):  
Yue Jiang

Three modes of recycling and remanufacturing are discussed when the carbon tax is imposed, the impact of carbon emissions on the mode of recycling and remanufacturing is further analyzed. The results show that the optimal price and sales of the new product and remanufactured product in the second stage are relevant with the carbon emissions in their manufacturing and selling process, not relevant with the carbon emissions in their recycling process. OEM will be more inclined to remanufacture themselves with the increasing environment awareness of consumers.


2021 ◽  
Vol 13 (12) ◽  
pp. 6745
Author(s):  
Malka Nadeeshani ◽  
Thanuja Ramachandra ◽  
Sachie Gunatilake ◽  
Nisa Zainudeen

At present, the world is facing many hurdles due to the adverse effects of climate change and rapid urbanization. A lot of rural lands and villages are merged into cities by citizens, resulting in high carbon emission, especially in the built environment. Besides, the buildings and the construction sector are responsible for high levels of raw material consumption and around 40% of energy- and process-related emissions. Consequently, the interest in defining the carbon footprint of buildings and their components is on the rise. This study assesses the carbon footprint of a green roof in comparison to a conventional roof in a tropical climate with the aim of examining the potential carbon emission reduction by a green roof during its life cycle. A comparative case study analysis was carried out between an intensive green roof and a concrete flat roof located on two recently constructed commercial buildings in the Colombo district of Sri Lanka. Data were collected from interviews, project documents and past literature in addition to on-site data measurements and a comparison of life cycle carbon emissions of the two roof types was carried out. The results revealed that the operational phase has the highest contribution to the carbon footprint of both roof types. In the operational phase, the green roof was found to significantly reduce heat transfer by nearly 90% compared to the concrete flat roof and thereby contributed to an annual operational energy saving of 135.51 kWh/m2. The results further revealed that the life cycle carbon emissions of the intensive green roof are 84.71% lower compared to the conventional concrete flat roof. Hence, this study concludes that the use of green roofs is a suitable alternative for tropical cities for improving the green environment with substantial potential for carbon emission reduction throughout the life cycle of a building.


2021 ◽  
Vol 248 ◽  
pp. 02040
Author(s):  
Huimei Chen ◽  
Yingchun Wang ◽  
Haifeng Kang

In view of the current domestic new economic form, under the trend of sustainable development, new energy industry has become a rising star. The development of new energy can improve the environment destroyed by the development of fossil energy to a certain extent. It is the primary task of environmental protection and energy development to study the specific relationship between China’s current carbon emissions, economic growth and the development of new energy industry. Based on STR model, we can empirically study the impact of carbon emissions on the development of new energy industry, analyze the nonlinear relationship, and propose relevant strategies to promote the development of new energy industry and pay attention to the coordinated development of energy consumption and environmental protection.


2021 ◽  
Vol 13 (21) ◽  
pp. 12137
Author(s):  
Xi Chen ◽  
Zhigang Chen

Dealing with the relationship between environment and economic development is the core issue of China’s sustainable development. At present, China’s economic transformation is urgent, and green finance is being widely concerned. This paper measured the development level of China’s green finance from the perspective of green credit, green securities, green investment, and green insurance. Then, it used a spatial dynamic panel model to empirically test the mechanism of the impact of green finance on carbon emissions with panel data of 30 Chinese provinces from 2005 to 2018. The following can be seen from the results: (1) The development of green finance contributes to carbon emission reduction. (2) The spatial spillover effect of green finance is significant. Specifically, the development of green finance can not only reduce the carbon emissions of the local region but also inhibit that of adjacent areas. (3) The development of green finance indirectly leads to a decrease in carbon emissions by reducing financing constraints and boosting green technology innovation. In order to stimulate the carbon emission reduction effect of green finance to a greater extent, we should further support the development of green finance, reduce the financing constraints of energy-saving and environmental-protection enterprises, and encourage the research and development of green innovative technologies.


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