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Car-sharing services are developing at an ever-increasing pace. Taking into account the reduction of carbon dioxide emissions and pursuit of the sustainable development of transport, implementing electric cars in car-sharing fleets is being proposed. On the one hand, these types of vehicles are referred to as emission-free, but on the other hand, their environmental friendliness is questionable due to the emission of carbon dioxide during the production of energy to power them. Although many scientific papers are devoted to the issue of reducing emissions through car sharing, there is a research gap concerning the real production of carbon dioxide by car-sharing vehicles during car-sharing trips. To fill this research gap, the objective of the article was to analyze the actual level of carbon dioxide emissions from combustion and electric vehicles from car-sharing systems produced when renting rides. The test results showed that the electric car turned out to be significantly less emitting. The use of electric vehicles in car-sharing fleets can reduce carbon dioxide emissions from 14% to 65% compared to using cars with internal combustion engines. However, the key role during car-sharing trips is played by the driving style of the drivers, which has been omitted from the literature to date. This should be properly regulated by service providers and focus on the proper use of energy from electric vehicle batteries, especially at low temperatures. The article provides support for operators planning to modernize their fleet of vehicles and fills the research gap concerning car-sharing emissions.

Abstract In order to further promote the development of the new energy vehicle industry, Parallel Management regulation for corporate average fuel consumption and new energy vehicle credits for passenger vehicles (dual-credit scheme) have been proposed by Ministry of Industry and Information Technology in September 2017. This study attempted to investigate the impact of dual-credit scheme on the penetration of new energy vehicles and the short-term strategies of the automotive industry. For this purpose, a market analysis model is proposed based on game theory and the credit market equilibrium to quantify the effects of the credit trading mechanism. Four categories of automakers are considered. The obtained results show that: (i) The dual-credit scheme is indeed an effective policy solution that enables the expansion of the volume of NEV market. (ii) The dual-credit scheme can accelerate the elimination of outdated technologies with lower driving mileage, and it can also promote the adoption of technologies with longer driving mileage. (iii) The dual-credit scheme allows all automakers to achieve their targets in a market efficient manner.

Despite strong interest and conflict research spanning multiple disciplines, connections between water flows and conflicts remain unclear, due to incomplete datasets on water-related conflict-cooperation events and poor understanding of socioeconomic and biophysical causes of such conflicts. The dataset on water-related conflict-cooperation events compiled in this study extends to 2019, updating previous datasets that covered only up to 2008, yielding important new insights on cooperation-conflict trends. Global and regional trends were analyzed using the new events dataset, together with changes in hydroclimatic variables and population density. The analysis revealed that water-related cooperation was far more common than conflicts across all regions, in both drier and wetter climates, indicating that abundance and lack of water can both promote cooperation. However, conflict events were more common in drier climates where water is scarcer. This cooperation-conflict balance shifted in the 2000s, with conflict events increasing, to outnumber cooperation events in 2017. The main shift occurred in Africa and Asia, where increased conflicts in Africa coincided with a prolonged period of below-average precipitation and severe drought, while the shift in Asia coincided with increased evapotranspiration caused by human activities and increased population density. Differences between regions were confirmed by event descriptions, with events in Africa relating to water access and farmer-herder conflicts, and events in Asia relating to irrigation and dam construction. These differences highlight the need for regional-scale analysis of water-related conflict-cooperation trends and pathways. With climate change and human activities expected to increase, the increasing trend in conflict events could persist, with water resources becoming a more frequent cause of future conflict. Identifying these complex cooperation-conflict changes is vital in determining future actions required to reduce conflict events and promote cooperation on water.

Using an experiment embedded within a representative survey, this study examined the interactive effect of party identification and risk/benefit perception on public opinion about biofuels. Democrats tended to be more supportive of biofuels than Republicans. However, the effect of party identification on opinion about biofuels varied when individuals considered the risk/benefit of biofuels in different domains. Individuals who reported greater affiliation with the Democratic Party were likely to support funding biofuels research when primed with the economic risks or the social/ethical benefits of biofuels. For those who considered the social/ethical benefits of biofuels, more self-identified Democrats were likely to support biofuels production and use. However, more self-identified Democrats were less supportive of biofuels production and use when they considered the political risks of biofuels. Implications are discussed.

Green economic development is a worldwide concern. This paper not only contributes to the advancement of studies pertaining to green development but also offers policy recommendations for China to achieve a green and low-carbon economic transformation from the perspective of outward foreign direct investment (OFDI) and industrial structure. A mechanism for the effects of OFDI and industrial structure upgrading on green total factor productivity (GTFP) is proposed in this study. Based on measurement and analysis of the evolution characteristics of GTFP and industrial structure level of 30 provinces (municipalities and autonomous regions) in China from 2004 to 2019, the spatial Durbin model is applied to test their spatial effects. The findings demonstrate that (1) the overall trend of China’s GTFP and industrial structure level is upward, with obvious regional non-equilibrium and spatial dependence; (2) both OFDI and industrial structure upgrading can promote green development independently, with the spatial spillover effect of Industrial structure advancement being more evident; (3) the synergistic effect between OFDI and industrial structure advancement is greater than that between OFDI and industrial structure rationalization, and the spatial spillover effect on regions with comparable economic development is greater than that of surrounding regions; (4) in view of the different levels of openness between regions, the independent and synergistic effects in coastal regions and non-coastal regions are heterogeneous. Therefore, China should optimize OFDI, promote the efficiency of resource allocation, maximize the technology spillover, and strengthen interregional cooperation in order to transform towards a green economy.

Green transformation at the beginning of the 21st century occupies the top positions in modern society’s sustainability transition research and policy debates due to its multiple propositions of various innovations, addressing the still unsolved issues of rapidly on-going societal and technological changes. Rooting from the general climate change concerns, recently, sustainability transformation has become a special focus in the EU, which is facing new and very concrete demands—to elucidate the evidence-based pathways towards the green transformation with European Green Deal and European Climate Law targets ahead. The main aim of this research is to disclose the pathway towards the green transformation in Lithuania in one of the fast-growing research fields of circular bioeconomy—biogas production from manure and waste. To reach this aim, a hybrid methodology approach was used. Analysis and synthesis of scientific literature, document analysis and structuring, stakeholder mapping, interviews, and statistical analysis methods had been applied. Research results gave evidence for one of the five proposed possible ways for green transformation in Lithuania—the regime transformation. Interviewed stakeholders repeatedly defined this as the most probable pathway for green transformation in Lithuania in the field of biogas production from manure and waste, considering the best suitability of the current development state in the field: adjustments of existing industries, skills, regulations, and institutions.

As part of the increasing efforts toward the prevention and control of motor vehicle pollution, the Chinese government has practiced a range of policies to stimulate the purchase and use of battery electric vehicles (BEVs). Zhejiang Province, a key province in China, has proactively implemented and monitored an environmental protection plan. This study aims to contribute toward streamlining marketing and planning activities to introduce strategic policies that stimulate the purchase and use of BEVs. This study considers the nature of human behavior by extending the theory of planned behavior model to identify its predictors, as well as its non-linear relationship with customers’ purchase intention. To better understand the predictors, a substantial literature review was given to validate the hypotheses. A quantitative study using 382 surveys completed by customers in Zhejiang Province was conducted by integrating a structural equation model (SEM) and a neural network (NN). The initial analysis results from the SEM revealed five factors that have impacted the customers’ purchase intention of BEVs. In the second phase, the normalized importance among those five significant predictors was ranked using the NN. The findings have provided theoretical implications to scholars and academics, and managerial implications to enterprises, and are also helpful for decision makers to implement appropriate policies to promote the purchase intention of BEVs, thereby improving the air quality.

In a milling process, proper selection of cutting parameters can significantly reduce the electrical energy consumption. Many researchers have conducted cutting parameter optimization of the milling process for electrical energy saving during the past several years. However, in the milling process, a large amount of auxiliary materials such as cutting tools and cutting fluids are consumed. The production process of these materials is energy-intensive and a lot of energy are consumed. Optimizing cutting parameters considering both the electrical energy consumption and embodied energy consumption of auxiliary materials can further reduce the environmental impact of the milling process. In this paper, an approach of cutting parameter optimization is proposed to maximize energy efficiency and machining efficiency for milling operation. Firstly, an energy consumption model of milling operation considering both the electrical energy consumption and embodied energy consumption of cutting tools and cutting fluids is proposed. Then a multi-objective optimization model is established to achieve maximizing energy efficiency and machining efficiency. Finally, to verify the proposed multi-objective model, case studies are carried out and the results indicate that (i) the optimum cutting parameters of milling process vary with the energy boundaries whether considering the embodied energy of the auxiliary materials or not; (ii) the optimum cutting parameter schemes for maximum machining efficiency do not ensure maximum energy efficiency; (iii) multi-objective optimization is an effective method to address the conflicts of the two objectives.