scholarly journals Evaluation of Tourism Eco-efficiency in Yangshuo County from the Perspective of Carbon Footprint

2018 ◽  
Vol 53 ◽  
pp. 03014
Author(s):  
Xiaoying Han ◽  
Jinye Wang ◽  
Ning Li
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Total Carbon ◽  
Input Output ◽  
Economic Profit ◽  
Model Based

According to the input-output theory, the paper quantitatively analyzes the tourism ecoefficiency of Yangshuo in 2017 by building a tourism eco-efficiency model based on carbon footprint. The research shows that: Firstly, the total carbon footprint of tourism traffic in 2017 is 791.22×106 kg; the total carbon footprint of tourism accommodation is 353.60×106 kg; the total carbon footprint of tourism activities is 123.29×106 kg. Secondly, the 2017 tourism eco-efficiency of the Yangshuo County is 8.05 RMB per kilogram. It refers to the economic profit is 8.05 RMB when 1 kilogram of carbon dioxide is produced, which is relatively efficient compared with other regions. Lastly, the paper makes suggestions with regarding to the optimization of the tourism eco-efficiency.

Accounting for carbon emissions associated with tourism-related consumption

2018 ◽  
Vol 24 (5) ◽  
pp. 510-525 ◽  
Author(s):  
Meiwei Tang ◽  
Shouzhong Ge
Keyword(s):  
Carbon Dioxide ◽  
Gross Domestic Product ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Value Added ◽  
Total Carbon ◽  
Low Carbon ◽  
Input Output ◽  
Output Table ◽  
Goods And Services

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.

Modeling of Carbon Dioxide Measurement on Cement Plants

2012 ◽  
Vol 610-613 ◽  
pp. 2120-2128 ◽  
Author(s):  
Jun Xia Peng ◽  
Liang Huang ◽  
Yu Bo Zhao ◽  
Pan Chen ◽  
Lu Zeng ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Co2 Emission ◽  
Firing Process ◽  
Input Output ◽  
Carbon Dioxide Measurement ◽  
Key Steps ◽  
Furnace Slag ◽  
Reducing Co2 Emission

Input-output model on cement plants were established. Carbon dioxide emissions of key steps and carbon footprint of products were calculated and predicted using the input-output model. The results showed that CO2 emission in the plant (the production of the plant is 1320000t a year) reached 910000 t a year and CO2 emission per ton product is 0.689 ton. Over 80% of the total CO2 was emitted during the process of firing，so the firing process is the key step for reducing CO2 emission in the cement plant. Carbon footprint of three kinds of cement products including ordinary portland cement, portland pozzolan cement and portland blast furnace slag cement are 0.76, 0.59, 0.72 respectively.

Layer analysis of CO2 sources in the US economic supply chains: an input output LCA study

2017 ◽  
Vol 117 (10) ◽  
pp. 2171-2193 ◽  
Author(s):  
Gokhan Egilmez ◽  
N. Muhammad Aslaam Mohamed Abdul Ghani ◽  
Ridvan Gedik
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Carbon Footprint ◽  
Sustainability Assessment ◽  
Chain Structure ◽  
Total Carbon ◽  
Input Output ◽  
Content Type ◽  
The Us ◽  
Supply Chain Structure

Purpose Carbon footprint assessment requires a holistic approach, where all possible lifecycle stages of products from raw material extraction to the end of life are considered. The purpose of this paper is to develop an analytical sustainability assessment framework to assess the carbon footprint of US economic supply chains from two perspectives: supply chain layers (tiers) and carbon footprint sources. Design/methodology/approach The methodology consists of two phases. In the first phase, the data were collected from EORA input output and environmental impact assessment database. In the second phase, 48 input-output-based lifecycle assessment models were developed (seven CO2 sources and total CO2 impact, and six supply chain tiers). In the third phase, the results are analyzed by using data visualization, data analytics, and statistical approaches in order to identify the heavy carbon emitter industries and their percentage shares in the supply chains by each layer and the CO2 source. Findings Vast majority of carbon footprint was found to be attributed to the power generation, petroleum refineries, used and secondhand goods, natural gas distribution, scrap, and truck transportation. These industries dominated the entire supply chain structure and found to be the top drivers in all six layers. Practical implications This study decomposes the sources of the total carbon footprint of US economic supply chains into six layers and assesses the percentage contribution of each sector in each layer. Thus, it paves the way for quantifying the carbon footprint of each layer in today’s complex supply chain structure and highlights the importance of handling CO2 source in each layer separately while maintaining a holistic focus on the overall carbon footprint impacts in the big picture. In practice, one size fits all type of policy making may not be as effective as it could be expected. Originality/value This paper provides a two-dimensional viewpoint for tracing/analyzing carbon footprint across a national economy. In the first dimension, the national economic system is divided into six layers. In the second dimension, carbon footprint analysis is performed considering specific CO2 sources, including energy production, solvent, cement and minerals, agricultural burning, natural decay, and waste. Thus, this paper contributes to the state-of-art sustainability assessment by providing a comprehensive overview of CO2 sources in the US economic supply chains.

scholarly journals Structure Decomposition Analysis of the Carbon Footprint Differences between Beijing and Tianjin

2013 ◽  
Vol 734-737 ◽  
pp. 1960-1963 ◽  
Author(s):  
Yan Wang ◽  
Hui Zhang ◽  
Tie Ying Wang
Keyword(s):  
Co2 Emissions ◽  
Carbon Footprint ◽  
Service System ◽  
Decomposition Analysis ◽  
Final Demand ◽  
Total Carbon ◽  
Input Output ◽  
Full Life Cycle ◽  
Structure Decomposition ◽  
Relationship Of

Carbon footprint is the total amount of CO2 emissions by particular product or service system in it full life cycle, or, it is the total amount of direct and indirect CO2 emissions by activity principals. There are significant differences of provincial total carbon footprint result from the different energy efficiency, final demand and input-output relationship of intermediate products. Based on the Structure Decomposition Analysis and input-output model, the differences of carbon footprint between Beijing and Tianjin are analyzed in this paper. The results show that the total carbon footprint is higher in Beijing than that in Tianjin. The effect of carbon emission intensity on carbon footprint in Beijing is lower than Tianjin by 0.008 billion tons CO2; according to the complicated relationship between industries in Beijing, there is 0.029 billion tons CO2 more the carbon footprint than Tianjin, The demand scale and structure is higher than Tianjin, So in the factors of final requirements on carbon footprint, the carbon footprint of Beijing is higher than Tianjin by 0.058 billion tons CO2.

Carbon Footprint Accounting Practices in Taiwan

2014 ◽  
Vol 962-965 ◽  
pp. 1529-1540
Author(s):  
Yung Jaan Lee ◽  
Shih Chien Lin
Keyword(s):  
Carbon Dioxide ◽  
Carbon Footprint ◽  
Carbon Dioxide Emissions ◽  
Ecological Footprint ◽  
Total Carbon ◽  
Future Research ◽  
County Level ◽  
Taipei City ◽  
Per Capita ◽  
Direct Measures

By using carbon dioxide emissions in Taiwan, this study attempts to account for total carbon dioxide emissions and per capita emissions at city and county level, based on the household consumption structure in each region. Carbon dioxide emissions are translated into carbon footprint by using the ecological footprint (EF) method, followed by calculation of total and per capita carbon footprint for each city and county. Analysis results indicate that Taiwan's total carbon dioxide emissions in 2011 were 264.66 million tons, of which New Taipei City, Taipei City and Kaohsiung City were the highest. However, according to the EF framework, the per capita carbon footprint for Taiwan was 5.94 global hectares (gha) in 2011. The highest three counties and cities were Taipei City, Hsinchu City and Hsinchu County. Future research should incorporate the use of direct measures of carbon dioxide emissions in counties and cities, which would produce a more realistic outcome. Moreover, the feasibility of using the EF method to translate carbon dioxide emissions into carbon footprint should also be examined.

scholarly journals CARBON FOOTPRINT ANALYSIS OF CONSTRUCTION ACTIVITIES IN SRI LANKA: AN INPUT-OUTPUT TABLE

2021 ◽  
Author(s):  
S. Gunathilake ◽  
◽  
T. Ramachandra ◽  
U.G.D. Madushika ◽  
◽  
...  
Keyword(s):  
Sri Lanka ◽  
Construction Industry ◽  
Carbon Footprint ◽  
Carbon Emission ◽  
Construction Materials ◽  
Total Carbon ◽  
Sustainable Construction ◽  
Local Context ◽  
Input Output ◽  
Bottom Up

The construction industry is one of the major contributors that emits carbon into the environment. When considering the carbon emission in the local context, even though there are Input-Output Tables (IOTs) that applies to all types of industries in Sri Lanka, there seems to be limited focuses on IOTs specifically relating to the construction activities which is vital for the need due to its outstanding contribution to the carbon footprint of Sri Lanka. Hence, this study aims to calculate the carbon footprint construction activities in Sri Lanka using IOT with a bottom-up approach. The required data were extracted from published documents of Survey of Construction Industry by Census and Statistics, and The Inventory of Carbon and Energy (ICE) database of UK. Carbon footprint of construction activities were calculated using IOT with a bottom-up approach. The analysis revealed that the road and railway sector have the highest contribution of 48% to the monetary value of the construction industry meanwhile it accounts for 44% of the highest carbon emission to the atmosphere in the year 2020. Subsequently, activities related to non-residential residential, and utilities contribute to 20%, 15%, and 12% of total carbon emission respectively. In terms of construction materials, cement-based activities (59%) were the highest contributor while rubble and metal-based (23%), and iron and steel-based activities (17%) were next level contributors to the carbon emission due to construction. The analysis concluded that the as the initiatives, public sector projects including road and railway sector and utilities should integrate more sustainable construction practices as they are responsible for more than 50% of carbon emission.

scholarly journals Estimating the carbon emissions balance for South Africa

2011 ◽  
Vol 12 (3) ◽  
pp. 263-279 ◽  
Author(s):  
Alan Brent ◽  
Sibbele Hietkamp ◽  
Russell Wise ◽  
Kenney O’Kennedy
Keyword(s):  
Climate Change ◽  
South Africa ◽  
International Trade ◽  
Life Cycle ◽  
South African ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Total Carbon ◽  
Input Output ◽  
International Climate

The carbon footprint of materials and products is becoming an increasingly important factor in international trade. At present the carbon emissions balance of the South African economy is not well understood, especially the carbon emissions associated with imports and exports. An investigation was done of known economic input-output and life cycle analyses models addressing this shortcoming. The results reveal that South Africa is a major exporter of carbon; at least 129 per cent more carbon is associated with a dollar earned with exports than a dollar spent on imports, and the carbon footprint of the outflows on average, equates 37 per cent of the total carbon emissions of the economy. Such figures have serious policy-related implications in a future where international climate-change trade limitations will become stricter and binding.

scholarly journals Estimasi Jejak Karbon dari Aktivitas Kampus Universitas Batanghari

2020 ◽  
Vol 3 (2) ◽  
pp. 42
Author(s):  
Monik Kasman ◽  
Anggrika Riyanti ◽  
Novia Rezki Apriani
Keyword(s):  
Carbon Dioxide ◽  
Greenhouse Gas ◽  
Carbon Footprint ◽  
Carbon Emissions ◽  
Total Population ◽  
Electricity Consumption ◽  
Total Carbon ◽  
International Panel ◽  
Law Faculty ◽  
Carbon Dioxide Co2

Every individual or agency activity will generate greenhouse gas emissions which could be countable and expressed as equivalent to carbon dioxide. One of the activities that produce carbon emissions is activities carried out on the campus, one of which is  Batanghari University. Batanghari University consists of 5 faculties, namely the Faculty of Teacher Training and Science, Faculty of Law, Faculty of Economics, Faculty of Engineering and Faculty of Agriculture with a total population of Batanghari University of 5,582 people including 5,278 students, 210 lecturers and 94 education staff. This study aims to analyze the amount of carbon emissions generated from activities of the Batanghari University and to compare the percentage of total carbon emissions produced from each scope. Calculation of carbon emissions using the method of The Greenhouse Gas Protocol (GHG Protocol), by dividing it into 3 scopes, including calculating the carbon footprint from transportation activities, emission form the used of gas, and emissions from electricity used and the used of paper. Carbon dioxide (CO2) emissions calculated by using the IPCC (International Panel On Climate Change) method. The results showed that the total carbon footprint produced at the Batanghari University for 6 months was 790.24 ton.CO2-eq. The distribution of emissions based on the scope as follows : scope 1 activity of electricity consumption was 162,705 ton.CO2-eq; scope 2 activities of using LPG was 0.609 ton.CO2-eq; and the scope 3 transportation activities of lecturers, students and education staff was 625.91 ton.CO2 -eq and paper usage activity are 1.0247 ton.CO2-eq. The largest carbon footprint was generated from transportation activities at 79.2% and the smallest was the use of LPG at 0.07%.

scholarly journals Carbon Footprint Evaluation of Hazardous Waste Based Solid Fuel: Application in a Cement Kiln

2021 ◽  
Author(s):  
Balasubramaniam Karpan ◽  
Abdul Aziz Abdul Raman ◽  
Razuana Rahim ◽  
Kheireddine Taieb Aroua ◽  
Archina Buthiyappan
Keyword(s):  
Carbon Dioxide ◽  
Life Cycle ◽  
Hazardous Waste ◽  
Carbon Footprint ◽  
Solid Fuel ◽  
Industrial Wastes ◽  
Total Carbon ◽  
Cement Kiln ◽  
Manufacturing Plant ◽  
Cement Manufacturing

Abstract This study aimed to evaluate industrial wastes-based solid fuel (IWSF) carbon footprint from the boundary of the cradle-to-grave life cycle. It includes emissions released from the transportation, manufacturing of IWSF, waste disposal, utilization of IWSF in the cement manufacturing plant, and end of life of IWSF. The quantification of total IWSF carbon footprint measures greenhouse gas emissions, carbon dioxide, nitrous oxide, and methane and is expressed as carbon dioxide equivalent (CO2-eq). The CO2-eq emission factors are calculated based on Intergovernmental Panel on Climate Change (IPCC) guideline, and the information used in this study is obtained from the actual operation. The study confirmed that the total carbon footprint of IWSF is approximately 0.17 kg CO2-Eq. MJ-1 energy generated. The results show that the utilization of IWSF at a cement manufacturing plant is the key contributor to carbon footprint, contributing to 94.3% of the total percentage, with a quantitative value of 27,000.7 MT CO2-eq per year IWSF manufacturing stage with 2.6 %. Subsequently, CO2-eq emission reduction initiatives have been implemented by the IWSF manufacturer, able to reduce approximately 333 MT of CO2-eq emission and total cost saving of USD50 000 annually. This study proves that industrial hazardous waste can be a source of fuel with positive economic and environmental returns. Besides, it was noted from the study that while direct combustion of solid-derived fuels can efficiently produce heat, it can also lead to the generation of greenhouse gases during the production and use phases. In summary, to estimate GHG emissions from IWSF production, a Life Cycle Assessment- Carbon Footprint (LCA-CF) should be considered.

CARBON FOOTPRINT ASSESSMENT AT UNIVERSITI TEKNOLOGI MARA SERI ISKANDAR CAMPUS, MALAYSIA

2017 ◽  
Vol 2 (1) ◽  
pp. 59
Author(s):  
Nor Izana Mohd Shobri ◽  
Wan Noor Anira Hj Wan Ali ◽  
Norizan Mt Akhir ◽  
Siti Rasidah Md Sakip
Keyword(s):  
Total Energy ◽  
Carbon Footprint ◽  
Electrical Power ◽  
Total Carbon ◽  
Green House ◽  
Green House Gas ◽  
Carbon Footprint Assessment ◽  
The University ◽  
Electrical Consumption

The purpose of this study is to assess the carbon footprint emission at UiTM Perak, Seri Iskandar Campus. The assessment focuses on electrical power and transportation usage. Questionnaires were distributed to the staffs and students to survey their transportation usage in the year 2014 while for electrical consumption, the study used total energy consumed in the year 2014. Data was calculating with the formula by Green House Gas Protocol. Total carbon footprint produced by UiTM Perak, Seri Jskandar Campus in the year 2014 is 11842.09 MTC02' The result of the study is hoped to provide strategies for the university to reduce the carbon footprint emission.

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