Since its reform and opening up, China’s economy has undergone rapid development and has experienced problems such as the overexploitation of resources and the destruction of the ecological ...environment. To achieve a balance between economic growth and environmental protection and to follow the sustainable development path, China must implement corresponding environmental regulation policies and vigorously encourage enterprises to pursue green technology innovation. In this paper, environmental regulation is divided into command-and-control, market incentive and voluntary participation. Command-and-control environmental regulation is measured using the entropy method and the logarithm of the pollution discharge fee income in each region is used as the measurement index of market-incentive environmental regulations. At the same time, the logarithm of the number of environmental protection proposals planned by the National People’s Congress and the number of environmental protection proposals planned by the CPPCC is used as the measurement index of voluntary participation in environmental regulations. Based on a regression equation of the effects of environmental regulations on green technology innovation, this paper uses the two-step system GMM method to analyze the panel data of industrial enterprises larger than a designated size in 30 provinces, autonomous regions and municipalities in China from 2006 to 2017. Moreover, the paper compares the effects of command-and-control, market-incentive and voluntary participatory environmental regulations on green technology innovation. The empirical results show that command-and-control environmental regulations initially have an inverted U-shaped effect on green technology innovation and market incentive and voluntary participatory environmental regulations have a U-shaped effect on green technology innovation. A comparison of the three environmental regulation policies shows that the effect of command-and-control environmental regulation is more significant.
The neural bases of emotion regulation Etkin, Amit; Büchel, Christian; Gross, James J
Nature reviews. Neuroscience,
11/2015, Volume:
16, Issue:
11
Journal Article
Peer reviewed
Emotions are powerful determinants of behaviour, thought and experience, and they may be regulated in various ways. Neuroimaging studies have implicated several brain regions in emotion regulation, ...including the ventral anterior cingulate and ventromedial prefrontal cortices, as well as the lateral prefrontal and parietal cortices. Drawing on computational approaches to value-based decision-making and reinforcement learning, we propose a unifying conceptual framework for understanding the neural bases of diverse forms of emotion regulation.
In 2017, the 19th National Congress of the Communist Party of China put forward the concept of high-quality economic development, indicating that the Chinese economy has shifted from rapid growth to ...high-quality development. High-quality economic development is the growth mode of an innovation-driven economy, an innovative, high-efficiency, energy-saving, environmentally friendly, and high-value-added growth mode. Environmental regulation is an important means to solve economic development and environmental pollution and plays an important role in high-quality economic development. In order to explore the impact of China’s environmental regulations on the high-quality economic development, this paper based on the panel data of 30 provinces (cities) in China from 2004 to 2015 uses the dynamic spatial Dubin model (DSDM) to analyze the direct and indirect effects of China’s environmental regulations on high-quality economic development and regional heterogeneity. It also incorporates R&D (Research and Development) investment, government investment in environmental governance, and fiscal decentralization into the model and analyzes the direct and indirect effects of the above three factors in the process of environmental regulation affecting high-quality economic development. We found that China’s high-quality economic development is spatially related between different provinces. And environmental regulations have obvious direct and indirect effects in the impact of high-quality economic development in the central and eastern regions, and this effect phenomenon is not significant in the western region. R&D investment, environmental protection investment, and fiscal decentralization have different adjustment effects on environmental regulation and high-quality economic development, and the same kind of adjustment variable also shows obvious heterogeneity among different regions. Finally, we put forward relevant policy recommendations based on the conclusions, with a view to improving China’s high-quality economic development.
Numerous microRNAs and their target mRNAs are coexpressed across diverse cell types. However, it is unknown whether they are regulated in a manner independent of or dependent on cellular context. ...Here, we explored transcriptome-wide targeting and gene regulation by miR-155, whose activation-induced expression plays important roles in innate and adaptive immunity. Through mapping of miR-155 targets through differential iCLIP, mRNA quantification with RNA-seq, and 3' untranslated region (UTR)-usage analysis with poly(A)-seq in macrophages, dendritic cells, and T and B lymphocytes either sufficient or deficient in activated miR-155, we identified numerous targets differentially bound by miR-155. Whereas alternative cleavage and polyadenylation (ApA) contributed to differential miR-155 binding to some transcripts, in most cases, identical 3'-UTR isoforms were differentially regulated across cell types, thus suggesting ApA-independent and cellular-context-dependent miR-155-mediated gene regulation. Our study provides comprehensive maps of miR-155 regulatory networks and offers a valuable resource for dissecting context-dependent and context-independent miRNA-mediated gene regulation in key immune cell types.
Fuel economy regulation is a powerful instrument to reduce CO2 emissions of vehicles and has recently been extended to heavy-duty vehicles. In Europe, truck manufacturers are required to reduce the ...CO2 emissions of newly sold vehicles by 30% until 2030 compared to 2019/2020. Accordingly, several manufacturers have announced the introduction of zero emission vehicles (ZEVs) such as battery electric or fuel cell trucks. However, the sales shares of zero emission trucks to meet the targets have not been analyzed in the literature yet. Here, we derive sales share scenarios for zero emission trucks in Europe based on emissions reduction options and their associated costs. We find that manufacturers will require at least 4–22% of their newly sold heavy-duty vehicles to be zero emission in 2030, depending on their strategy to improve their diesel trucks. This implies a stock share of 2–11% for ZEV trucks in Europe in 2030. Yet, high sales shares for ZEVs and the super credits granted by the regulation allow manufacturers to meet their target with little CO2 reduction in the conventional fleet leading to low actual emission reduction.
•We analyze the impact of truck CO2 regulation on zero emission truck sales.•We use disaggregated sales data for regulated truck size classes in Europe.•We summarize CO2 reduction cost potential estimates for trucks.•Three scenarios capture the uncertainty of OEM strategies.•We obtain 4–22% zero emission trucks in sales and 2–11% in stock in 2030.
•A framework to assess the effects of time-dependent regulations was established.•Special period regulation (SPR) effectively reduced the air pollution level.•There are heterogeneous impacts of the ...SPR across cities.•The effects of SPR are negative across 24 h and weak from 12 pm to 2–3 pm.•SPR achieves a “win-win” status about environmental protection and economic growth.
This study examines the impacts of time-dependent environmental regulations on air pollution during the autumn and winter. This was done by exploiting a quasi-experimental setting where a special period regulation was implemented in the Changsha-Zhuzhou-Xiangtan region (CZT, located within Hunan Province in southern China), but not in cities surrounding CZT over the same period. Using hourly level data from October 1, 2014, to September 30, 2017, and by employing a difference-in-differences model, we found that the special period regulation significantly reduced PM2.5 concentrations, the Air Quality Index, and the probability of the occurrence of severely polluted days in CZT. Furthermore, we found that while this regulation had significant negative impacts on air pollution in Changsha, the impacts were not robust in Zhuzhou and Xiangtan. Our results further revealed that the regulatory effects were significantly negative over a 24-hour time period, but the effects temporarily weakened from 12 pm to 2–3 pm. We also confirmed that such regulations can be used to achieve a “win-win” situation in terms of environmental protection and economic growth. Thus, the results suggest that time-dependent environmental regulations will be valuable in combination with existing policies to improve air quality during specific periods.
Background
In the stage of sustainable development, enterprises should not only focus on economic efficiency, but also on ecological protection, for which the governments of various countries has ...adopted various environmental regulation methods to promote green investment by enterprises. However, there are many types of environmental regulations, and the relationship between policy formulation and implementation effects is complicated. Heavily polluting enterprises as the main carrier of resource consumption and pollutant emissions is the main target of environmental regulation. Based on this, we took China's heavily polluting listed companies as examples to explore the impact of different types of environmental regulations on green investment in heavily polluting enterprises.
Results
In this paper, environmental regulations were divided into formal and informal types, of which formal environmental regulations (FER) were subdivided into command-control and market-incentive types. The empirical results showed that the relationship between command-control environmental regulations and green investment by heavily polluting enterprises presents an inverted “U” shape, and market-incentive environmental regulations first have no effect on and then promote green investment by heavily polluting enterprises. Besides, informal environmental regulations (IER) have maintained a positive effect on green investment by heavily polluting enterprises.
Conclusions
Heavily polluting enterprises, respectively, employ passive, active and voluntary green investment strategies under the three types of environmental regulations, providing a reference for the government to promote green investment by enterprises by environmental regulations more effectively.
Countries enact environmental regulations to achieve sustainable development and ecological sustainability. However, environmental regulations do not guarantee environmental sustainability unless ...implemented efficiently. Furthermore, political institutions play a key role in the formulation and management of environmental regulations. This research examines the relationship between democracy, environmental regulations, economic growth, and ecological footprint (EF) in the panel of G7 nations from 1985 to 2017. Second generation econometric techniques are used to analyze the data. The empirical evidence indicates that economic growth enhances EF while democracy and environmental regulations positively contribute to ecological sustainability by reducing EF. The causal outcomes reveal that democracy Granger causes EF and renewable energy indicating that democracy curbs environmental degradation and stimulates the share of renewables. Further, democracy and environmental regulations Granger cause each other. Lastly, the implication of these findings for sustainable development and ecological sustainability are discussed.
The impact of environmental regulation on enterprise innovation is closely related to the competitiveness of the enterprise and sustainable development of the regional economy, but existing research ...does not provide a consistent view. This paper summarizes the impacts of environmental regulation on enterprise innovation from the perspectives of technological innovation, product innovation, system innovation and ecological innovation. We find that the impacts of environmental regulation on enterprise innovation behaviour are complex, and that the impacts can be reflected together by the four aspects above and even by their interaction. Moreover, the impacts are not limited to the creation of new technologies, products, and systems but also include their adoption and application. In particular, whether the Porter hypothesis is true and which versions of the Porter hypothesis environmental regulation causes in enterprise innovation depend on enterprise characteristics, means of environmental regulation, and enterprises' strategic behaviours in an enterprise ecosystem. Finally, we propose five potential research directions: quantifying the degree of enterprise innovation caused by environmental regulation, the impacts of environmental regulation on sustainable economic development from an enterprise ecosystem perspective, the impacts of enterprise innovation on environmental regulation, the role of enterprise initiative in the relationship between environmental regulation and enterprise innovation, and social security issues and the integration of eliminated enterprises resulting from environmental regulation.
Public health measures to prevent, detect, and respond to events are essential to control public health risks, including infectious disease outbreaks, as highlighted in the International Health ...Regulations (IHR). In light of the outbreak of 2019 novel coronavirus disease (COVID-19), we aimed to review existing health security capacities against public health risks and events.
We used 18 indicators from the IHR State Party Annual Reporting (SPAR) tool and associated data from national SPAR reports to develop five indices: (1) prevent, (2) detect, (3) respond, (4) enabling function, and (5) operational readiness. We used SPAR 2018 data for all of the indicators and categorised countries into five levels across the indices, in which level 1 indicated the lowest level of national capacity and level 5 the highest. We also analysed data at the regional level (using the six geographical WHO regions).
Of 182 countries, 52 (28%) had prevent capacities at levels 1 or 2, and 60 (33%) had response capacities at levels 1 or 2. 81 (45%) countries had prevent capacities and 78 (43%) had response capacities at levels 4 or 5, indicating that these countries were operationally ready. 138 (76%) countries scored more highly in the detect index than in the other indices. 44 (24%) countries did not have an effective enabling function for public health risks and events, including infectious disease outbreaks (7 4% at level 1 and 37 20% at level 2). 102 (56%) countries had level 4 or level 5 enabling function capacities in place. 32 (18%) countries had low readiness (2 1% at level 1 and 30 17% at level 2), and 104 (57%) countries were operationally ready to prevent, detect, and control an outbreak of a novel infectious disease (66 36% at level 4 and 38 21% at level 5).
Countries vary widely in terms of their capacity to prevent, detect, and respond to outbreaks. Half of all countries analysed have strong operational readiness capacities in place, which suggests that an effective response to potential health emergencies could be enabled, including to COVID-19. Findings from local risk assessments are needed to fully understand national readiness capacities in relation to COVID-19. Capacity building and collaboration between countries are needed to strengthen global readiness for outbreak control.
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