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The increasing awareness of sustainability issues in industrialized countries has resulted in an unprecedented rise in the number of environmental innovations produced worldwide. However, while this is a general tendency, the amount and importance of environmental innovations is far from consistent across industrialized countries. The influence of countries' policy network styles – referring to which and how interest groups participate in making public policy choices is a dimension that has been subject to growing interest and controversy. We propose that companies from pluralistic countries will generate more environmental innovations, but the importance of environmental innovations will be higher in neo-corporatist countries. Our analysis, based on a longitudinal analysis of 84,274 environmental patents from the United States, Japan, Germany, and the UK during the period 1976–2003, indicates support for our prediction that neo-corporatist countries tend to generate more important environmental innovations than pluralistic countries. Yet, our findings do not support our hypothesis suggesting that pluralistic countries are more likely to generate a higher number of environmental innovations. [ABSTRACT FROM AUTHOR]

Abstract: As world's top two carbon emitters, driver analysis of China and the USA helped the governments to develop policies to cut or slow down carbon emission. Many studies identified the factors affecting carbon emission in China and the USA (emitting more than 40% of the global CO 2 emission), however, few studies considered stratified heterogeneity or the interactions of factors. Here, we adopted the modified Geographical Detector tool to investigate the main drivers of carbon emission from the perspective of stratified heterogeneity. The results of this analysis showed that human economic activities in China were the dominant effect of carbon emission changes, while energy intensity contributed toward controlling the carbon emission in China. Furthermore, population growth was the most significant driving force followed by energy intensity toward controlling the carbon emission of the USA. All these factors are mutually enhancing in changing carbon emissions, while oil share with energy intensity and coal share were more significantly enhanced in China's carbon emission than other interactions. The factors of human activities and energy mix posed a more powerful effect when they mutually enhanced each other to change carbon emission compared to other enhancing interactions. This work represents a pilot scheme for a carbon dioxide emission analysis from the categorical stratified heterogeneity based on statistical methods. [ABSTRACT FROM AUTHOR]

In some coastal cities there is an urgent need to decide on adaptation investments given the long periods needed to complete the relevant infrastructures. However such decisions are usually made under significant uncertainty due to local climate change and socio-economic impacts. The Intergovernmental Panel on Climate Change (IPCC) has developed four global scenarios according to different representative concentration pathways (RCPs); however, using these scenarios directly is equivalent to using incomplete information in the decision-making process because they do not provide information on what sea level rise behavior is most probable. In this study, I propose a model which assigns probabilities to IPCC scenarios with Local Sea Level Rise (LSLR) information. I obtain expected damage and risk measures for the world's 120 major coastal mega-cities at specific moments in time. That is, I consider uncertainty in both scenario selection and within each scenario. With this information it is possible to make adaptation investment decisions under uncertainty with a criterion of not exceeding certain risk levels in the future. The paper shows that in the year 2100 for the equal probability mixed scenario (25% RCP 2.6, 50% RCP 4.5 and 25 RCP 8.5) the expected damage is US$ 1,251,732 millions for New Orleans and US$ 1,196,517 millions for Guangzhou. The risk measurements show that in that year the damage in the 5% of worse cases will be US$ 2,800,756 millions for Guangzhou and US$ 1,832,466 millions for New Orleans. However, not all countries have sufficient resources to make the necessary adaptation investments, so we analyze expected damage and risk according to World Bank country income groups. The paper shows that the USA and China will need to make major adaptation investments in the future. The coastal LSLR risk in lower-income cities is also calculated. [ABSTRACT FROM AUTHOR]

In the United States, the food industry alone accounts for approximately 19% of the total energy consumed. The objective of this study is to forecast the food-related energy consumption and evaluate policy alternatives for reducing food related energy consumption in the medium and long term. Influential factors of energy consumption in the food industry include population growth rate, GDP, agriculture's share of GDP, food waste, technologies, and agricultural investment. Based on the life cycle of the food industry, five life stages were considered: agricultural production, industrial processing and packaging, transportation, wholesale and retail, and household. In this study, based on the causal relationships and feedback loops between these factors and the energy consumed for each life stage, a system dynamics (SD) model was designed to simulate the situation for the US food industry. Policy options of reducing waste percentage and improving industrial energy productivity are incorporated for building the energy use mitigation scenarios. By implementing the integrated mitigation scenarios, a 9.43% reduction in total food system energy consumption can be attained in 2030. [ABSTRACT FROM AUTHOR]

The United States lags other nations in adapting policy approaches that would stimulate cleaner consumption of Information and Communication Technologies (ICT) by limiting the use of potentially toxic materials in electronics production. This study analyzes nationally-representative U.S. data from a unique web-based survey to investigate whether American households are willing to support greening the ICT devices by paying a premium for a green cell phone. Green cell phone does not contain hazardous materials and can be safely disposed with general municipal waste. A survey-based economic technique of contingent valuation was utilized to examine the relationship between socio-psychological and economic parameters for evaluating and explaining a stated willingness to pay a green phone premium, controlling for socio-economic and demographic characteristics. The findings indicate that respondents with higher scores on general environmental beliefs, greater engagement in pro-environmental behavior, and positive attitudes toward recycling small electronics are likely to be willing to pay a premium to purchase a green cell phone compared to a conventional cell phone with similar capabilities. This suggests that educating the public about benefits of electronics recycling, promoting pro-environmental norms, and encouraging pro-environmental behavior can help increase public support for implementing policies aimed at greening ICT production and consumption in the United Sates. [ABSTRACT FROM AUTHOR]