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As concerns around climate change and global warming intensify, extreme weather events such as heavy rain, blizzards, and smog-induced haze have greatly impacted the commuting travel mode selection of urban residents. Such behavioral shifts have in turn led to changes of the carbon emissions generated from these residents. This paper constructs a "extreme weather (W)–travel behavior (B)–carbon emissions (C)" research framework. Using a multiple logistic regression model, the transportation mode shift model, and the econometric model of urban resident's travel behavior under the influence of extreme weather conditions were constructed. The marginal effects of weather on residents' commuter behavior, through the use of transportation type and distance of travel were also obtained. The study found that the overall carbon dioxide emission levels of daily commuting has gradually decreased due to the influence of extreme weather. However, as some travelers still adopted high-emission commuting modes through the use of taxis or ride-sharing services, there was still a slight increase in CCDE levels in certain extreme weather contexts. In particular, when haze was prevalent, vehicle restriction policies only reduced CCDE by 2.18%, while the remaining 77.83% of total CCDE remaining unchanged. This research provides a key reference point for governmental departments in urban transportation management and environmental protection to formulate policies. [ABSTRACT FROM AUTHOR]

Many international organizations have called for an increased usage of renewable energy as a means to reduce CO 2 emissions and address climate change. This paper uses a large panel data set of 93 countries and recently developed panel estimation techniques to answer the question by how much does increasing non-fossil fuels in electricity generation reduce the subsequent carbon dioxide emissions. For the full sample, we find long-run displacement elasticities for non-fossil fuel consumption per capita of approximately −0.38; however, for the share of non-fossil fuels used in electricity generation, those long-run displacement elasticities are −0.82. Thus, a one percent increase of the share of non-fossil fuel electricity generation reduces CO 2 emissions per capita from electricity generation by about 0.82%. Long-run share displacement elasticities for non-OECD countries are substantially higher than those for OECD countries (approximately −0.98 to −0.54). These results have a number of policy implications. Our results are important in establishing that a very rapid increase in the share of non-fossil fuels used in electricity generation is needed in order to have a meaningful impact on per capita CO 2 emissions from electricity generation. [ABSTRACT FROM AUTHOR]

Abstract: This paper is intended to analyze CO2 transmission between Japan and South Korea through international trade based on 1990 and 1995 international input–output data. It applied a residual-free structural decomposition method proposed by Chung and Rhee [Chung, H.S., Rhee, H.C., 2001. A residual-free decomposition of the sources of carbon dioxide emissions: a case of the Korean industries. Energy 26 (1), 15–30] to emission-related international input–output analysis for the first time in the decomposition studies. This paper is a case study regarding the manner and the extent to which CO2 emissions are influenced by international trade between Japan (an Annex I country) and South Korea (a non-Annex I country), which is of particular interest for the carbon leakage issue. In this paper, we attempted to show which factors contributed to the changes in emission of the major greenhouse gas in South Korea and Japan. The changes in emission are analyzed in terms of emission intensity, input techniques, demand composition, and trade structures. According to our analysis, South Korea, a non-Annex I country, has more energy-intensive production structures than Japan, an Annex I country. South Korea''s trade pattern with Japan reflects these production features, resulting in the Korea''s comparative advantage in emission intensive products, though the degree has somewhat mitigated in 1995 compared to 1990. [Copyright &y& Elsevier]

A synthesis of the complex relationships, including synergies and trade-offs, between urban development projects and climate change mitigation and adaptation objectives can ensure that all these relationships are taken into consideration. We used a systems approach and applied an impact matrix and chain effect analysis methods to projects in the highly urbanized Taipei metropolitan region to identify the influences and effects between urban development projects and climate change objectives. Three types of urban plans and projects were analyzed: flood control, transportation, and urban planning. The magnitudes of the influences and effects between these projects and plans were derived through interviews with experts familiar with Taipei's urban development. This pilot study found no synergy in the response to climate change mitigation and adaptation for the urban development projects analyzed. The current standalone policies and plans related to urbanization in Taipei have resulted in trade-offs for flood control and public transit projects because they contribute positively toward one climate objective but negatively impact another. A high-level policymaking mechanism that ensures coordination and collaboration between different sectors is needed to supervise sectoral policies. Prior to the approval and implementation of a plan, policymakers should request the assessment of synergies and trade-offs between plans and projects to ensure a synergistic effect to climate change issues. This study confirms that the strategy from individual sector in a metropolitan region will result in trade-off between climate change issues is a global problem. This paper also strengthens the concept that the assessment of synergy/trade-offs between policy and plans should be conducted using systemic approach. • A systems approach can assess synergy/trade-offs between mitigation and adaptation. • Synergy doesn't exist due to a lack of comprehensive urban climate policy in Taipei. • There are trade-offs between analyzed mitigation and adaptation projects. • Minimizing trade-offs is an immediate concern for urban climate policies. [ABSTRACT FROM AUTHOR]

As a major carbon dioxide-emitting country, China set carbon trading market to reduce enterprise carbon emissions through the rational allocation of carbon quotas among different enterprises and regions. The market has also conducted a preliminary exploration for the country to achieve carbon dioxide emissions peak in 2030 and carbon neutrality in 2060 while actively addressing the challenges of global climate change. This study analysed the emission reduction effect of China's carbon trading pilot policy, especially the role of carbon quota and carbon trading price. The analysis used county-level panel data from 1997 to 2017, regarded the implementation of the carbon trading pilot policy as a quasi-natural experiment, and used the difference-in-differences method. The results showed that, first, the policy implementation not only reduced regional carbon emissions but also inhibited carbon dioxide emissions per capita, with long-term effects. Second, the carbon emission reduction effect brought by the carbon pilot policy showed significant heterogeneous results with the different degrees of regional carbon emissions and environmental supervision. The effect was greater in areas with higher carbon emission density and stronger legal supervision. Third, the difference in carbon quota allocations resulted in different emission reduction effects, among which the historical method had the strongest effect. The carbon quota price and number of enterprises participating carbon trading market were the key factors affecting carbon emission reduction. • This paper investigates the impact of carbon emission trading market on the carbon reduction. • China provides an excellent "Quasi-natural Experiment" for assessing the role of carbon emission trading market in environmental management. • It is found that policy implementation has significantly reduced various types of carbon emissions, and this reduction effect is long-term. • Stimulating the vitality of the carbon market and expanding the supply and demand of carbon quotas are the main ways to achieve carbon emission reduction. [ABSTRACT FROM AUTHOR]

Abstract: Detailed estimates of carbon dioxide emissions at fine spatial scales are critical to both modelers and decision makers dealing with global warming and climate change. Globally, traffic-related emissions of carbon dioxide are growing rapidly. This paper presents a new method based on a multiple linear regression model to disaggregate traffic-related CO2 emission estimates from the parish-level scale to a 1×1km grid scale. Considering the allocation factors (population density, urban area, income, road density) together, we used a correlation and regression analysis to determine the relationship between these factors and traffic-related CO2 emissions, and developed the best-fit model. The method was applied to downscale the traffic-related CO2 emission values by parish (i.e. county) for the State of Louisiana into 1-km2 grid cells. In the four highest parishes in traffic-related CO2 emissions, the biggest area that has above average CO2 emissions is found in East Baton Rouge, and the smallest area with no CO2 emissions is also in East Baton Rouge, but Orleans has the most CO2 emissions per unit area. The result reveals that high CO2 emissions are concentrated in dense road network of urban areas with high population density and low CO2 emissions are distributed in rural areas with low population density, sparse road network. The proposed method can be used to identify the emission “hot spots” at fine scale and is considered more accurate and less time-consuming than the previous methods. [ABSTRACT FROM AUTHOR]

Abstract: This paper uses multivariate co-integration Granger causality tests to investigate the correlations between carbon dioxide emissions, energy consumption and economic growth in China. Some researchers have argued that the adoption of a reduction in carbon dioxide emissions and energy consumption as a long term policy goal will result in a closed-form relationship, to the detriment of the economy. Therefore, a perspective that can make allowances for the fact that the exclusive pursuit of economic growth will increase energy consumption and CO2 emissions is required; to the extent that such growth will have adverse effects with regard to global climate change. [ABSTRACT FROM AUTHOR]

Climate change research is currently a topic of great interest for economic researchers. In particular, environmental input–output analysis increasingly plays an important role in measuring the economic and environmental effects of sustainable development policies in Europe. Other approaches also exist, such as econometric modelling, in which impacts are quantified on statistical grounds and with certain desirable properties (efficient estimates, confidence intervals, hypothesis testing, etc.) that are not found in the input–output approach. Consequently, this paper merges the two approaches to address the calculation of unbiased and consistent carbon dioxide emission multipliers for Denmark and their respective confidence intervals. The use of the supply and use system instead of the symmetric input–output table also presents the opportunity to avoid the common problems associated with the construction of technical coefficients (technology assumptions, negatives, etc.). Moreover, a new policy-relevant application of these multipliers is introduced: the quantification of the performance of the carbon dioxide emission reductions carried out by industries via external trading. [Copyright &y& Elsevier]

This paper summarises the methodology and results of work involved in the investigation of energy demand in six Chinese villages included in the SUCCESS Project. The procedures used to collect data associated with local energy demand are explained and the approach to data analysis is explained. Results are provided in terms for delivered energy consumption, as an indicator of energy demand; primary energy consumption, as an indicator of energy resource depletion; and carbon dioxide emissions, as an indicator of global climate change. Similarities and differences between results for this sample of villages are considered. The important causes of differences in results are investigated. [Copyright &y& Elsevier]