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This research aims to explore the influential factors that promote and impede Chinese customers' adoption intention of electric vehicles (EVs). An extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT) was developed to gauge customers' willingness to adopt EVs. 348 responses and structural equation modelling were employed for analysis. This paper contributes to this research area mainly through two aspects: First of all, it provides more robust evidence of the positive moderating effects on price value since few research studies on it. Secondly, the positive moderating effects of facilitating conditions between perceived risk and adoption intention of EVs were found for the first time, which fills the gap in this research area. Except these, the results also showed that performance expectations, social influence, and price value positively influence EV adoption intention, while perceived risk has a negative impact. Additionally, age and gender were found to significantly moderate adoption intention. These findings offer insights for policymakers to craft more effective policies, ultimately advancing sustainability and accelerating the achievement of long-term carbon neutrality goals. [ABSTRACT FROM AUTHOR]

Green port construction has a profound impact on China's international climate commitment to carbon neutrality by 2050. To examine the carbon emission reduction potential of 20 major ports in the Yangtze River Delta port cluster of China, this study takes the perspective of environmental efficiency and employs dynamic exogenous variable DEA in efficiency evaluation. The results show the increasing environmental efficiency of the ports in the Yangtze River Delta, rising from 0.5116 in 2013 to 0.7276 in 2019. Also, there are significant spatial differences in efficiency. After considering exogenous variable, the average efficiency has increased from 0.5537 to 0.6276, indicating that regional green development is a critical factor in port environmental efficiency evaluation. Finally, the overall efficiency of input and output have risen, the slackness of carbon emission shows a trend of decreasing, and there is great potential for reducing carbon emissions from the perspective of port environmental efficiency. The previous studies paid less attention to dynamic efficiency, exogenous variables, and carbon emission. Therefore, this paper is the first comprehensive examination on the carbon emission reduction potential of China's Yangtze River Delta port cluster from the perspective of dynamic environmental efficiency. [ABSTRACT FROM AUTHOR]

Consolidating the results of poverty alleviation and achieving carbon neutrality are serious challenges for global sustainable development, and it is essential to explore the relationship between these goals, and then offer scientific responses. Based on the panel data of 30 provinces in China from 2010 to 2019, this paper conducted the 2SLS model by compromising the merits of the Regression Discontinuity principle with the STIRPAT model to study the interaction between poverty alleviation and carbon reduction. The study found that: (1) the implementation of poverty alleviation aggravates the problem of carbon emissions, and the main mechanism is that poverty alleviation promotes consumption and production by increasing the wealth of farmers, thereby increasing carbon emissions. (2) Carbon reduction weakens the achievement of poverty alleviation significantly, but the mitigation effect presents an "inverted U"-shaped curve, which first increases and then wanes. (3) Farmers' income and the development of rural transportation play a role in acting on the negative effects of carbon reduction. By integrating poverty theory and energy management, this article reveals the complex relationship between two important policies in China and offers relevant policy recommendations, which will not only promote the advancement of rural revitalization but also promote global sustainable development. [ABSTRACT FROM AUTHOR]

This paper uses a sample of 1,867 firms that participate in the "Top-10,000 Energy- Consuming Enterprises Program" in China and aims to identify strategic traders in its pilot emissions trading scheme. Firms included in the ETS can exert their market power and manipulate allowance prices to achieve low compliance costs, which will consequently influence the effectiveness of this platform. This is of great importance to regulators or designers of this system in identifying these strategic traders and understanding their impact. We follow the basic principle proposed by Godal (2005) and develop a simple and implementable empirical procedure to study firm-level data from seven pilot programs in China. The results show that strategic traders exist with clear regional and sectoral differences. As a consequence of strategic trading by these firms, the overall volume of trading falls remarkably, with a clear increase in total compliance costs. [ABSTRACT FROM AUTHOR]

Carbon neutrality is an important policy in the current global response to climate change and has been widely recognized by various industries. In the process of promoting carbon neutrality, new energy plays a pivotal role. In this study, the definition and connotation of new energy and its role and specific operation in the energy transition of carbon neutrality are firstly explained. Promoting new energy development requires significant green and low-carbon investments. Taking China as an example, this paper analyzes the opportunities brought by the carbon neutral process to the field of green finance and analyzes the main features and development trends of green finance in China at present. Then this paper proposes policy recommendations to strengthen the development of green finance in China in terms of improving the green financial policy system, enhancing the supply capacity of green financial services, and optimizing the supporting environment for green financial development. Finally, this paper analyzes the measures and experiences of the United States in promoting low-carbon development and proposes countermeasures for China's low-carbon development on the basis of the five major relationships that need attention in China's carbon-neutral process. That is, strengthen the top-level design and improve the regulatory policy system; optimize the energy structure and increase the proportion of clean energy; optimize the industrial structure and reduce energy consumption in key industries; build a complete low-carbon technology system and promote low-carbon technology research and development and demonstration applications, and encourage local conditions to explore low-carbon development paths. The development of green finance can contribute to the advancement of new energy technologies, thus contributing to the achievement of carbon neutrality goals. [ABSTRACT FROM AUTHOR]

The emissions trading scheme has recently become an important emissions reduction mechanism in China. The initial quota allocation is one of the key points in its design, which includes the initial quota allocation criterion and allocation method. In this paper, we analyze the regional macroeconomic impacts of emissions trading in China under different quota allocation criteria and allocation methods using a multiregional computable general equilibrium (CGE) model. The results show that the Ability-to-Pay criterion is better than the other criteria, as it can lead to fewer macroeconomic costs and welfare losses; narrow the economic gap between the eastern, central and western regions; and guide investment into the western regions. Comparing free allocation and auction, it is determined that free allocation leads to lower macroeconomic costs, while auction is better at adjusting the industrial structure. This indicates that a hybrid allocation method is preferable. [ABSTRACT FROM AUTHOR]

In the last 20 years, China's steel production has proliferated, leading to increased environmental damage by releasing 574,000 tons of sulfur dioxide (SO2), 1,114,000 tons of nitrogen oxide (NOx), and 897,000 tons of particulate matter (PM) in 2020; therefore, the country is now struggling to reduce carbon emissions and tackle climate change because of the conflicting demands of economic growth and environmental protection. Given the global emphasis on decarbonization and sustainable production, China has prioritized achieving peak carbon emissions of 30% by 2030 and carbon neutrality by 2060. Likewise, China's steel industry is progressing toward attaining the maximum carbon dioxide (CO2) emissions by 2025. This study reveals that despite a 321 Mt increase in global energy-related CO2 emissions in 2022, CO2 emissions in China experienced a decline of 230 Mt during the same period. Notwithstanding enacting several pertinent statutes and directives, China's iron and steel sector has not advanced substantially. [ABSTRACT FROM AUTHOR]

The intention of this paper is to (i) introduce a multi-regional dynamic emissions trading model and (ii) examine the potential impact of an emissions trading scheme (ETS) on the long-term evolution of energy technologies from national and regional perspectives in China. The establishment of this model is a salutary attempt to Sinicize the global integrated assessment model that combines economy, energy, and environment systems. The simulation results indicate that: (1) for majority of regions, ETS is more effective in cutting CO2 emissions than a harmonized carbon tax (HCT), but this might not be true for the entire country, which means that these two options have little difference in overall carbon reduction; (2) carbon tax policy is a more cost-effective option in curbing CO2 with respect to ETS in the long run; (3) neither ETS nor pure carbon tax provide enough incentives for the breakthrough of carbon-free energy technologies, which illustrates that matching with some other support policies, such as subsidies and R&D investment, is essential to extend the niche market; and (4) In the context of ETS, the diffusion of non-fossil technologies in regions that act as sellers performs much better than this diffusion in the buyer regions. [ABSTRACT FROM AUTHOR]

Greenhouse gas emissions have brought serious negative impacts on human beings and organisms, so energy saving and emission reduction have been recognized by more and more people. Traditional Milk-run model seldom considers the factors of energy saving and emission reduction, and its routing optimization cannot meet the current needs of low-carbon economic development. On the basis of traditional Vehicle Routing Problem research, considering the fixed cost, time penalty cost, energy consumption cost and carbon emission cost of vehicles, the Milk-run model of distribution routing considering carbon emissions under time window constraints is studied. Then the improved ant colony algorithm is used to solve the constructed model. Finally, the order and related data of a company are used to verify the validity and practicality of the model and algorithm. Compared to the scanning method, the results show that not only the total journey distance has been shortened but also the total cost and cost of carbon emissions have been reduced. The optimization of distribution routing considering carbon emissions can reduce the distribution cost of logistics enterprises, respond to the call of low-carbon development in China and help to achieve a win-win situation of social and economic benefits. [ABSTRACT FROM AUTHOR]

There is an emerging literature estimating the marginal cost of carbon mitigation in China using distance function approaches; however, empirical estimates vary widely in magnitude and variation, which undermines support for policies to curb carbon emission. Applying three commonly used distance functions to China's provincial data from 2001 to 2010, we show that the variability can be partially explained by the difference in the input/output coverage and whether the estimated marginal abatement cost (MAC) is conditional on the abatement of other correlated pollutants. We also argue that the substantial heterogeneity in abatement cost estimates could be related to an economic interpretation that radial measures reflect the short-run MACs while non-radial measures reflect the long-run MACs. Our mean short-run MAC for carbon is 20 US$ per tonne, an amount that is very close to the carbon prices observed in China's recently launched pilot markets. [ABSTRACT FROM AUTHOR]