scholarly journals Does Information about Personal Emissions of Carbon Dioxide Improve Individual Environmental Friendliness? A Survey Experiment

2021 ◽  
Vol 13 (4) ◽  
pp. 2284
Author(s):  
Hideki Yamashita ◽  
Shinsuke Kyoi ◽  
Koichiro Mori

The purpose of this study is to identify factors that can change the environmental friendliness of individuals in the context of climate change issues in terms of values, beliefs, controllability, concern, attitude, intention, and behavior through a survey experiment, and to test the hypothesis that providing information about the amount of carbon dioxide (CO2) emissions attributable to an individual with its threshold value motivates him/her to reduce that amount using statistical analyses (the Mann–Whitney test) and multivariate regressions (the ordered logit model). It is crucial to change the behavior of individuals as well as organizations to reduce the emissions of CO2 for solving climate change issues, because the aggregate amount of individual CO2 emissions is too large to ignore. We conducted a survey experiment to detect factors affecting the environmental friendliness of individuals. Subjects of the experiment were 102 students at Shiga University in Japan. They were randomly provided with communication opportunities, information about individual or group CO2 emissions, and information about their threshold value. The finding is that provision of information about the amount of individual and group CO2 emissions may be able to improve that person’s environmental friendliness in terms of values, beliefs, concern, attitude, intention, and behavior.

Author(s):  
Joseph S Shapiro

Abstract This paper describes a new fact, then analyzes its causes and consequences: in most countries, import tariffs and nontariff barriers are substantially lower on dirty than on clean industries, where an industry’s “dirtiness” is defined as its carbon dioxide (CO2) emissions per dollar of output. This difference in trade policy creates a global implicit subsidy to CO2 emissions in internationally traded goods and so contributes to climate change. This global implicit subsidy to CO2 emissions totals several hundred billion dollars annually. The greater protection of downstream industries, which are relatively clean, substantially accounts for this pattern. The downstream pattern can be explained by theories where industries lobby for low tariffs on their inputs but final consumers are poorly organized. A quantitative general equilibrium model suggests that if countries applied similar trade policies to clean and dirty goods, global CO2 emissions would decrease and global real income would change little.


Author(s):  
Saidi Siuhi ◽  
Judith L. Mwakalonge ◽  
Judy Perkins

This paper compared performance of methods for combining model information estimated in one region and applied to another region to improve estimation results. The application is for models developed to estimate household-level automobile-specific CO2 emissions. The results indicated that automobile-specific CO2 emissions models can be transferred from one geographical region to another. The estimates of CO2 emissions can assist agencies such as policy makers, businesses, and transportation planners to track trends and identify opportunities to reduce CO2 emissions and increase efficiency of transportation systems to lessen their impact on global warming, climate change, and air quality standards.


2021 ◽  
Author(s):  
Christian Brand

Active travel (walking, cycling or scooting for transport) is considered a healthy and sustainable form of getting from A to B. The net effects of active travel on mobility-related carbon dioxide (CO2) emissions are complex and remarkably under-researched across a wide range of settings. This paper seeks to provide a summary of research on active travel as a low carbon mobility option in context of the climate emergency. Key gaps are identified and discussed. The paper concludes with a projection of future research.


2019 ◽  
Vol 11 (2) ◽  
pp. 385 ◽  
Author(s):  
Huihui Wang ◽  
Weihua Zeng

Commuting to and from work is one of the most important and regular routines using urban transport, being a major source for an increase in transport-related carbon dioxide (CO2) emissions. In this study, we explore the characteristics of CO2 emissions from commuter travel in Beijing from different perspectives. A bottom-up approach from a macro perspective is used to analyze recent changing trends of carbon emissions due to commuter travel modes in Beijing, and to identify the main sources of carbon emission increases that affect transportation. To identify CO2 emission characteristics and influencing mechanisms in Beijing, the proportion of commuting modes, commuting distance, and commuting-related CO2 emissions by Ring Roads was analyzed. The commuting-related CO2 emission model, based on Tobit models from the microscopic perspective, was constructed to explore the main factors affecting CO2 emissions of individuals/households. Results show that CO2 emissions due to commuting in Beijing in recent years has presented an increasing trend. In 2014, the amount of CO2 emissions from commuters had already reached the level of 553.68 × 104 t, with CO2 emissions generated by car trips accounting for 75–80% of emissions. Average individual/household commuting-related CO2 emissions on the Ring Road inside the main urban areas of Beijing shows a gradual increasing trend, with the growth trends between the 3rd–5th Ring Road being the largest. Household locations separated by Ring Roads and the occupation type of residents are important factors affecting CO2 emissions. Commuters with access to a car, those having a higher income, and those located in the outer regions of the main urban areas produce more CO2 emissions. To reduce the increasing trend of CO2 emissions in Beijing, it is important that the government accelerates the development of public transport, industry, and residential facilities along the outskirts of the city, along the Ring Road, and along the radix road.


2021 ◽  
Author(s):  
Claire Mitchell ◽  
David Santos-Carballal ◽  
Andrew Michael Beale ◽  
Wilm Jones ◽  
David John Morgan ◽  
...  

Increasing carbon dioxide (CO2) emissions, resulting in climate change, have driven the motivation to achieve the effective and sustainable conversion of CO2 into useful chemicals and fuels. Taking inspiration from...


2021 ◽  
Vol 13 (7) ◽  
pp. 3660
Author(s):  
Rathna Hor ◽  
Phanna Ly ◽  
Agusta Samodra Putra ◽  
Riaru Ishizaki ◽  
Tofael Ahamed ◽  
...  

Traditional Cambodian food has higher nutrient balances and is environmentally sustainable compared to conventional diets. However, there is a lack of knowledge and evidence on nutrient intake and the environmental greenness of traditional food at different age distributions. The relationship between nutritional intake and environmental impact can be evaluated using carbon dioxide (CO2) emissions from agricultural production based on life cycle assessment (LCA). The objective of this study was to estimate the CO2 equivalent (eq) emissions from the traditional Cambodian diet using LCA, starting at each agricultural production phase. A one-year food consumption scenario with the traditional diet was established. Five breakfast (BF1–5) and seven lunch and dinner (LD1–7) food sets were consumed at the same rate and compared using LCA. The results showed that BF1 and LD2 had the lowest and highest emissions (0.3 Mt CO2 eq/yr and 1.2 Mt CO2 eq/yr, respectively). The food calories, minerals, and vitamins met the recommended dietary allowance. The country’s existing food production system generates CO2 emissions of 9.7 Mt CO2 eq/yr, with the proposed system reducing these by 28.9% to 6.9 Mt CO2 eq/yr. The change in each food item could decrease emissions depending on the type and quantity of the food set, especially meat and milk consumption.


2021 ◽  
Vol 5 (1) ◽  
pp. 25
Author(s):  
Souhir Abbes

In this paper, we use the Logarithmic Mean Divisia Index (LMDI) to apply decomposition analysis on Carbon Dioxide (CO2) emissions from transport systems in seven Eastern European countries over the period between 2005 and 2015. The results show that “economic activity” is the main factor responsible for CO2 emissions in all the countries in our sample. The second factor causing increase in CO2 emissions is the “fuel mix” by type and mode of transport. Modal share and energy intensity affect the growth of CO2 emissions but in a less significant way. Finally, only the “population” and “emission coefficient” variables slowed the growth of these emissions in all the countries, except for Slovenia, where the population variable was found to be responsible for the increase in CO2 emissions. These results not only contribute to advancing the existing literature but also provide important policy recommendations.


2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Sri Walyoto

This article analyzes the loss of carbon dioxide (CO2) released in the forest conversion to oil palm plantations. This research data gathered from the relevant secondary data and relate published reports. This research finds that a loss of release of carbon dioxide (CO2) per hectare of US $ 9,800 with a carbon price of USD2 of US $ 14,000 carbon price of USD3 and US $ 19,600 in carbon price of USD4. In addition, this conversion also has a significant impact on global warming (GWP) and global climate change. Keywords: oil palm plantation, CO2 release, GWP, climate change. 


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