Market-based solution in China to finance the clean from the dirty.

Financial incentives play a key role in promoting renewable energy investments that can help China achieve the 'dual carbon' goal. The national emissions trading scheme (ETS) and the renewable energy portfolio standard (RPS) are two existing market-based policy instruments that can generate stable expected returns for low-carbon projects. This paper studies the interactive distribution effects of these two market-based instruments. We use the micro-level thermal power plant data to investigate the abatement effects of the national ETS, in which the details show that the existing rate-based ETS will result in higher negative impacts on power units, whose installed capacities are smaller than 400 MW. The interactive distribution effects between the two markets will occur when the permit allocation standards of the national ETS become stricter than the existing ones. Provinces in Eastern China and Northern China will face high pressure on costs in both ETS and RPS markets. When the levels of the permit allocation standards are set as 70% of the existing ones and the carbon price is assumed to be 200 yuan/ton in 2030, the annual market size of the national ETS will be nearly 100 billion yuan, and the annual market size is predicted to be 250 billion yuan. In the existing rate-based national ETS, the China Certified Emission Reduction (CCER) mechanism will have an offsetting effect, which should be taken into serious consideration during the policy-making processes in the future.

Diverse changes in shipping emissions around the Western Pacific ports under the coeffect of the epidemic and fuel oil policy.

The Western Pacific Ocean (the WPO), as one of the busiest shipping areas in the world, holds a complex water traffic network. In 2020, the International Maritime Organization (IMO) low-sulfur fuel regulations were implemented globally, while the COVID-19 outbreak influenced shipping activities together. This study aimed to assess the combined impact of epidemics and low-sulfur fuel policies on ship emissions, as well as their environmental effects on the WPO. The ship emission model based on the Automatic Identification System (AIS) data was applied to analyze the monthly emission variations during 2018-2020. It was found that the epidemic had obvious diverse influences on the coastal ports in the WPO. Overall, shipping emissions declined by 15 %-30 % in the first half of 2020 compared with those in 2019 due to the COVID-19 lockdown, whereas they rebounded in the second half as a result of trade recovery. The pollutants discharged per unit of cargo by ships rose after the large-range lockdown. China's multiphase domestic emission control areas (DECAs) and the IMO global low-sulfur fuel regulation have greatly reduced SO2 emissions from ships and caused them to "bypass and come back" to save fuel costs around emission control areas from 2018 to 2020. Based on satellite data and land-based measurements, it was found that the air quality over sea water and coastal cities has shown a positive response to changes in ship-emitted NOx and SO2. Our results reveal that changes in shipping emissions during typical periods, depending on their niches in the complex port traffic network, call for further efforts for cleaner fuel oils, optimized ECA and ship lane coordination in the future. Shipping related air pollutions during the later economic recovery also needs to be addressed after international scale standing-by events.

Machine learning based regional epidemic transmission risks precaution in digital society.

The contact and interaction of human is considered to be one of the important factors affecting the epidemic transmission, and it is critical to model the heterogeneity of individual activities in epidemiological risk assessment. In digital society, massive data makes it possible to implement this idea on large scale. Here, we use the mobile phone signaling to track the users' trajectories and construct contact network to describe the topology of daily contact between individuals dynamically. We show the spatiotemporal contact features of about 7.5 million mobile phone users during the outbreak of COVID-19 in Shanghai, China. Furthermore, the individual feature matrix extracted from contact network enables us to carry out the extreme event learning and predict the regional transmission risk, which can be further decomposed into the risk due to the inflow of people from epidemic hot zones and the risk due to people close contacts within the observing area. This method is much more flexible and adaptive, and can be taken as one of the epidemic precautions before the large-scale outbreak with high efficiency and low cost.

China industrial environmental database 1998-2015.

There has been a rapid-growing trend in studying China's environmental problems in the past decade. However, the existing environmental statistics data are far from meeting researchers' requirements. The biggest problem is that the official environmental statistics data are only provided at either regional level or sectoral level. Considering the huge heterogeneities in different regions and sectors, researchers are unable to conduct comprehensive policy evaluations. In this study, we constructed the time-series industrial environmental database for China (CIED) at both regional and sectoral level. The database includes totally 31 regions and four types of pollutants: chemical oxygen demand (COD), sulphur dioxide (SO2), ammonia-nitrogen (NH3-N), and nitrogen oxide (NOX). This study also clarifies several important concepts for researchers to better understand China's official environmental statistics data.

The role of intergovernmental relations in response to a wicked problem: an analysis of the COVID-19 crisis in the BRICS countries / O papel das relações intergovernamentais em resposta a um problema perverso: uma análise da crise da COVID-19 nos países do BRICS / El papel de las relaciones intergubernamentales en respuesta a un problema perverso: un análisis de la crisis de COVID-19 en los países BRICS

Abstract Globally, policy environments have become increasingly more complex with the growth in the number of wicked problems, such as that posed by the COVID-19 pandemic. In their response to these problems, public administrations have, from necessity, become heavily reliant on their intergovernmental relations systems, as the challenges posed generally require multilevel responses. This paper analyzes the role of intergovernmental relations in shaping the responses of the BRICS countries when confronted with COVID-19. We develop an analytical framework to understand the dynamics of intergovernmental relations in these countries. Based on this we assess the capacity of the state and political systems to manage intergovernmental relations and ensure effective responses to the COVID-19 crisis. This framework is based on an analysis of three dimensions of the policy domain: the political and state system, formal and informal institutions, and the political alignment between them. Whilst state and political systems were found to be instrumental in formulating an immediate response to the crisis, informal institutions and political processes also played a prominent role in determining the extent to which strategies were implemented, particularly in countries that are more decentralized. Countries lacking the robust formal institutions needed to facilitate intergovernmental relations and to ensure swift policy responses, tend to deliver ineffective and inefficient results when confronted with wicked problems.

Resumo Políticas públicas para solução de problemas perversos (wicked problems), como a crise da COVID-19, têm sido dificultadas devido à complexidade dos ambientes institucionais em que elas acontecem. Esses problemas também requerem cada vez mais coordenação multinível, dando um papel fundamental às relações intergovernamentais. Este artigo analisa esse papel na resposta dos países do BRICS (Brasil, Rússia, Índia, China e África do Sul) à crise da COVID-19. Foi desenvolvido um arcabouço analítico para entender a dinâmica dessas relações intergovernamentais, que foi usado para avaliar a capacidade do estado e dos sistemas políticos para dar respostas efetivas à COVID-19. O arcabouço é baseado em três dimensões: o sistema político e do estado, as instituições formais e informais, e o alinhamento político entre os níveis de governo e a administração pública. Apesar da importância dos sistemas políticos e de estado, as instituições informais e os processos políticos foram instrumentais para definir e implementar as estratégias de combate à COVID-19, principalmente nos países mais decentralizados. Países sem instituições formais robustas para facilitar as relações intergovernamentais tendem a oferecer resultados ineficientes e não-efetivos em termos de políticas públicas para atacar problemas perversos.

Resumen Las políticas públicas para resolver problemas perversos ( wicked problems ), como la crisis de COVID-19, se han visto obstaculizadas por la complejidad de los entornos institucionales en los que ocurren. Estos problemas también requieren cada vez más una coordinación multinivel, lo que hace que las relaciones intergubernamentales jueguen un papel fundamental. Este artículo analiza ese papel en la respuesta de los países BRICS (Brasil, Rusia, India, China y Sudáfrica) a la crisis de la COVID-19. Se desarrolló un marco analítico para comprender la dinámica de estas relaciones intergubernamentales, que se utilizó para evaluar la capacidad del estado y de los sistemas políticos para brindar respuestas efectivas a la COVID-19. El marco se basa en tres dimensiones: el sistema político y estatal, las instituciones formales e informales y la alineación política entre los niveles de gobierno y la administración pública. A pesar de la importancia de los sistemas políticos y estatal, las instituciones informales y los procesos políticos fueron fundamentales para definir e implementar estrategias para combatir la COVID-19, especialmente en los países más descentralizados. Los países sin instituciones formales sólidas para facilitar las relaciones intergubernamentales tienden a ofrecer resultados ineficientes e ineficaces en términos de políticas públicas para abordar problemas perversos.

Study of the emissions and spatial distributions of various power-generation technologies in China.

The power sector is the main contributor to climate change and atmospheric pollution, and reducing the emissions from the power sector is essential for achieving sustainable development. However, few studies have accounted for the emissions from various power-generation technologies. In this paper, a high-resolution inventory of power plants with more than 6 MW accounting for 93% of the national power generation in China is established for the first time. Based on this inventory, the CO2, NOx and SO2 emissions of China's hard coal power, natural gas power, hydropower, wind power, photovoltaic power, biomass power and nuclear power are calculated by using the life cycle assessment method, and their spatial distributions in 2014 are further analyzed. The results show that China's power plants emitted 3.44 E+09 t CO2, 8.56 E+06 t NOx, and 1.19 E+07 t SO2, and the uncertainties were (-18.66%, +19.14%), (-67.10%, +66.41%) and (-88.69%, +87.61%) in 2014, respectively. Renewable-energy power plants accounted for approximately 15% of the national power generation but only contributed less than 1% of the total emissions. Meanwhile, in China's eastern cities, renewable-energy power accounts for the lowest proportion of the total installed capacity. In addition, both the emission amount and intensity were significantly higher in eastern cities than central and western cities. This study will help improve research on the emissions of all power-generation technologies in China and help achieve a comprehensive and systematic emissions reduction strategy.

Using Existing Infrastructure to Realize Low-Cost and Flexible Photovoltaic Power Generation in Areas with High-Power Demand in China.

This study develops a new concept involving using the existing infrastructure for photovoltaic (PV) generation to reduce the costs associated with increased land use and to avoid curtailment due to the mismatch between power supply and demand. We establish a method to estimate the technological potential and economic performance of the PV systems deployed in coal-fired power plants in China. The potential capacity of the examined 1,082 units in China reaches 4 GWe, which is equivalent to 32% of China's newly installed distributed PV capacity in 2019. A total of 87% of PV systems achieve plant-side grid parity compared with desulfurized coal benchmark electricity prices. To the best of our knowledge, this is the first study that investigates the use of rooftops and coal storage sheds in power plants to facilitate low-cost, flexible PV power generation, thus opening a new channel for future PV generation development.