Search

Hybrid organic-inorganic halide perovskites with the prototype material of CH3NH3PbI3 have recently attracted intense interest as low-cost and high-performance photovoltaic absorbers. Despite the high power conversion efficiency exceeding 20% achieved by their solar cells, two key issues the poor device stabilities associated with their intrinsic material instability and the toxicity due to water-soluble Pb2+ need to be resolved before large-scale commercialization. Here, we address these issues by exploiting the strategy of cation-transmutation to design stable inorganic Pb-free halide perovskites for solar cells. The idea is to convert two divalent Pb2+ ions into one monovalent M+ and one trivalent M3+ ions, forming a rich class of quaternary halides in double-perovskite structure. We find through first-principles calculations this class of materials have good phase stability against decomposition and wide-range tunable optoelectronic properties. With photovoltaic-functionality-directed materials screening, we identify 11 optimal materials with intrinsic thermodynamic stability, suitable band gaps, small carrier effective masses, and low excitons binding energies as promising candidates to replace Pb-based photovoltaic absorbers in perovskite solar cells. The chemical trends of phase stabilities and electronic properties are also established for this class of materials, offering useful guidance for the development of perovskite solar cells fabricated with them. [ABSTRACT FROM AUTHOR]

This paper is concerned with delay-dependent stochastic stability for time-delay Markovian jump systems (MJSs) with sectorbounded nonlinearities and more general transition probabilities. Different from the previous results where the transition probability matrix is completely known, a more general transition probability matrix is considered which includes completely known elements, boundary known elements, and completely unknown ones. In order to get less conservative criterion, the state and transition probability information is used as much as possible to construct the Lyapunov-Krasovskii functional and deal with stability analysis. The delay-dependent sufficient conditions are derived in terms of linear matrix inequalities to guarantee the stability of systems. Finally, numerical examples are exploited to demonstrate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

The purpose of this research is to determine the impact of innovation, economic growth, financial development, trade, foreign direct investment (FDI), electricity consumption, and urbanization on the environmental degradations in Pakistan. This study has employed the dynamic autoregressive distributed lag model (ARDL), to investigate the actual change in the independent variables and its impact on the dependent variable through graphs. The findings demonstrate that energy consumption, GDP growth, urbanization, and trade negatively influence the carbon emissions in the short term. On the other hand, the findings indicate that in the long term, only GDP growth and trade had a significantly negative impact on emissions. Urbanization has a positive and considerable impact on the emissions of carbon dioxide in the long run. On the other hand, financial development and foreign direct investment (FDI) help reduce the environmental degradation in the short term and long term. Moreover, innovation positively affects the carbon emissions in both the long and short run. Policy recommendations are given based on the findings of this study., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

To cope with global climate change and energy security, the realization of the low-carbon energy transition has become an inevitable choice for international carbon emission reduction requirements and energy structure adjustment. Vigorously developing renewable energy has become an essential part of energy policies in many countries. Under the incentive and guidance of renewable energy industry policy, China's renewable energy has developed rapidly, and energy structure has been optimized. However, many problems have been exposed. Can China's renewable energy industry policy effectively support low-carbon energy transition? This paper uses the method of theoretical analysis, combining literature analysis and data analysis. Based on the analysis of renewable energy policies in countries with relatively mature energy transitions, it analyzes the status quo, implementation effect, and problems of renewable energy policy in China and proposes policy suggestions. According to the research, the existing problems are as follows: (1) diminishing marginal effect of policies, (2) policy adjustment is not timely and lacks details and operability, (3) coordination conflicts between the old and new policies, (4) unreasonable policy supply structure, and (5) the negative impact of subsidy policy is increasing. Therefore, this paper argues that China's renewable energy industry policy cannot effectively support the low-carbon energy transition., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Currently, China is facing severe pressure of environmental emission reduction. As a kind of clean energy, waste-to-energy technology has the advantages of renewability, low pollution, and stable supply. To establish an affordable, effective, and sustainable waste disposable method is critical for the low carbon society transition. Therefore, the innovation diffusion of waste incineration power technology is a problem worth studying. Based on this, in order to answer this question scientifically, this paper constructs a system dynamics model of innovative diffusion, and analyzes the internal mechanism of innovation diffusion. The results show that firstly, the government support policies have a positive influence on the innovation and diffusion of waste incineration power technology; secondly, compared with the R&D policy, feed-in tariffs policy is more efficient to expand the installed capacity of waste incineration power; At last, technological innovation caused by government support policies is the main driving force of waste incineration power industry investment cost reduction., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

China's foreign direct investment is an important driving force for economic growth, which also aggravates carbon emissions. Based on China's provincial panel data from 2003 to 2018, this paper uses the panel-fixed effect model and panel threshold model to explore the impacts of two-way foreign direct investment on carbon emissions and analyze the threshold effects of different environmental regulations. The empirical results show that inward foreign direct investment (IFDI) has a significant inhibitory effect on carbon emissions, while outward foreign direct investment (OFDI) leads to the aggravation of carbon emissions. Considering regional heterogeneity, environmental regulation in high-carbon areas mainly affects local OFDI, and environmental regulation in low-carbon areas mainly inhibits carbon emissions by affecting IFDI. In addition, high-carbon regions can achieve the inhibition of OFDI on carbon emissions by strengthening command-and-control regulation and reducing the promotion of OFDI on carbon emissions by strengthening market incentive regulation and voluntary regulation. Meanwhile, excessive command-and-control regulation and market incentive regulation in low-carbon areas bring unexpected regulatory effects, but the inhibitory effect of IFDI on carbon emissions can be increased by strengthening voluntary regulation., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

With the process of China's economic transformation and structural adjustment, the trend of thermal power industry transfer is more and more obvious. Under the background of industrial transfer, the research of the influence of environmental regulation on technological innovation has become a vital issue that needs to be discussed urgently for the current high-quality economic development. Based on the thermal power industry data in 30 provinces of China from 2008 to 2017, this paper constructs a mediating effect model to examine the relationship among environmental regulation, industrial transfer, and technological innovation. The results reveal that: (1) there is a U-shaped relationship between environmental regulation and technological innovation; (2) the increase of environmental regulation intensity promotes the thermal power industry to move to areas with loose environmental regulation; (3) industrial transfers play a mediating role in the process of environmental regulation influencing technological innovation. Therefore, the government should formulate scientifically effective environmental regulation policies so that the thermal power industry can realize orderly transfer and realize technological innovation., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Government incentive policies play an important role in the promotion of distributed photovoltaic power. However, which policy is more effective for the diffusion of distributed photovoltaic power? This is a question that needs to be answered. Based on this, we combined the two-factor learning curve and system dynamics model to study the dynamic diffusion process of China's distributed photovoltaic power (DSP). The results show that (1) the coefficients of learning by doing and learning by researching for DSP are 0.0435 and 0.2971 respectively. This indicates that technological innovation caused by R&D expenditures in the DSP is the driving force for cost reduction. (2) Both demand-pull and technology-push policies contribute to the diffusion of DSP; (3) the effect of FIT policy on the diffusion of distributed photovoltaic technology is more significant than that of R&D policy; and the reduction of production cost of photovoltaic power industry by R&D policy is more significant than FIT policy., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)