ABSTRACT
[...]it is often argued—as by Yifei Li and Judith Shapiro, for example—that China's dictatorship should be an advantage in this context: ‘Given the limited time that remains to mitigate climate change and protect millions of species from extinction, we need to consider whether a green authoritarianism can show us the way' (Li and Shapiro 2020, quoted from the publisher's book description). Since CCP bosses do not have to contend with public hearings, environmental studies, recalcitrant legislatures, labour unions, a critical press, and so on, Xi should be able to force state-owned polluters to stop polluting or else, and ram through his promised transition to renewable energy (see Smith 2017, 2020c). Climate Action Tracker estimates that in 2021 China's emissions increased by 3.4 per cent to 14.1 gigatonnes of carbon dioxide equivalent (GtCO2e)—nearly triple those of the United States (4.9 GtCO2e) with a gross domestic product just three-fourths as large (CAT n.d.;EIA 2022). Since 2019, China's emissions have exceeded those of all developed countries combined and presently account for 33 per cent of total global emissions (Larsen et al. 2021;IEA 2021). In the first half of 2021, rebounding from the first wave of Covid-19, China's carbon dioxide emissions surged past pre-pandemic levels to reach an all-time high 20 per cent increase in the second quarter before dropping back in late 2021 and the first half of 2022 as the real estate collapse, Omicron lockdowns, and drought-induced hydropower reductions slashed economic growth to near zero in the summer (Hancock 2021;Myllyvirta 2022a;Riordan and Hook 2022). China promised to stop building coal-fired power plants abroad, but it is building more than 200 new coal-fired plants at home in a drive to boost economic growth, maintain jobs in coal-dependent regions, and ensure energy self-sufficiency—locking the country into coal reliance for many decades to come, derailing the transition to renewables, and dooming Xi's UN pledge to transition to a green and low-carbon mode of development (Xie 2020).
ABSTRACT
Despite the urgent need to reduce coal consumption to mitigate climate change, coal has received renewed interest as a source of energy due to the perfect storm of climate, health, geopolitical and energy crises. Post-COVID recovery boosted global coal production and Asian coal consumption. Because of the 2022 Russian invasion of Ukraine, coal saw a rise in demand in Europe to replace sanctioned natural gas and oil. Combined with volatile prices, these developments highlight profound uncertainties for the world's coal exporters. This paper focuses on Russia, which so far has been the world's largest fossil fuel exporter and third-largest coal exporter and where the coal sector is the backbone of several regional economies and local communities. Using the Triple Embeddedness Framework (TEF), the paper reviews internal and external pressures on the Russian coal industry and evaluates its capacity to adapt to the rapidly changing socio-political and techno-economic environment. Russian coal exporters have attempted to accelerate their shift to the East following the European Union's sanctions over the war in Ukraine and the Russian coal infrastructure is being expanded to serve the Asia-Pacific market. The analysis concludes that the Russian coal industry is not preparing for more long-term changes in international coal markets, and this exacerbates the magnitude of risks for local communities and regional economies within Russia as well as for global decarbonisation.
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The additional impact of emission-reduction measures in North China (NC) during autumn and winter on the air quality of downwind regions is an interesting but less addressed topic. The mass concentrations of routine air pollutants, the chemical compositions, and sources of fine particles (PM2.5) for January 2018, 2019, and 2020 at a megacity of Central China were identified, and meteorology-isolated by a machine-learning technique. Their variations were classified according to air mass direction. An unexpectedly sharp increase in emission-related PM2.5 by 22.7% (18.0 mug m-3) and 25.7% (19.4 mug m-3) for air masses from local and NC in 2019 was observed compared to those of 2018. Organic materials exhibited the highest increase in PM2.5 compositions by 6.90 mug m-3 and 6.23 mug m-3 for the air masses from local and NC. PM2.5 source contributions related to emission showed an upsurge from 1.39 mug m-3 (biomass burning) to 24.9 mug m-3 (secondary inorganic aerosol) in 2019 except for industrial processes, while all reduced in 2020. From 2018 to 2020, the emission-related contribution of coal combustion to PM2.5 increased from 10.0% to 19.0% for air masses from the local area. To support the priority natural gas quotas in northern China, additional coal in cities of southern China was consumed, raising related emissions from transportation activities and road dust in urban regions, as well as additional biofuel consumption in suburban or rural regions. All these activities could explain the increased primary PM2.5 and related precursor NO2. This study gave substantial evidence of air pollution control measures impacting the downwind regions and promote the necessity of air pollution joint control across the administration.Copyright © 2023 Elsevier Ltd
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Crude Palm Oil (CPO) is the mainstay of Indonesian agricultural products which is the largest CPO producing country in the world. The high market share of Indonesian CPO exports reflects the high competitiveness of Indonesian CPO in the global market. The purpose of this study is to determine the competitiveness of Indonesian CPO, the concentration of the Indonesian CPO industry, and analyze the factors that are suspected to affect the competitiveness of the CPO industry in Indonesia. The data used in this study are secondary data with a five-digit ISIC (10432) using time series data for 2001-2020 and the analytical techniques used in this study include Revealed Competitive Advantage (RCA), Gini Coefficient, and Error Correction Model (ECM). The results showed that Indonesian CPO has high competitiveness in the international market, the Indonesian CPO industry is not concentrated, in the short term the variables that affect competitiveness are CPO prices, subsidized solar prices policy, and industrial concentrations, while in the long term the influential variables are biodiesel policy, subsidized diesel oil policy and industrial concentration
ABSTRACT
The global green recovery is facing a significant threat due to the escalating consumption of coal and the announcement of new coal development plans by several leading nations. This study presents an overview of post-pandemic coal activities and identifies three types of coal rebound, namely coal use rebound, coal production or power plant expansion, and climate change policy retrenchments, that pose a challenge to global green recovery after the COVID-19 pandemic. We delve into the major short-term and long-term factors that underlie the coal rebound by analyzing case studies from eight countries, namely Vietnam, Zimbabwe, China, India, the United States, Germany, Australia, and Indonesia. The findings indicate that in the short-run, energy price volatility induced by the COVID-19 pandemic and geopolitical crises are the primary factors driving the coal rebound in most countries. We also highlight that the climate-induced coal rebound due to extreme weather could backfire and emerge as a major short-term factor to impede decarbonization efforts. This round of coal rebounds can be attributed to several long-term factors, including the anticipated economic growth in phase-in and established countries, the abundance of coal endowment, the reliance on the coal economy resulting from it, the political influence of coal sectors, the resurgence of geopolitics, and concerns around energy security. It is noteworthy that the return of geopolitics is likely to impact the energy transition for decades to come. The study provides policy recommendations to mitigate coal rebound and enhance the post-pandemic green recovery.
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The objectives of this research include: (1) examining and analyzing the effect of capital structure, profitability, dividend payments and inflation on the value of mining companies;(2) examining and analyzing the moderating role of Good Corporate Governance (GCG) on the effect of capital structure, profitability, dividend payment and inflation on the value of mining companies listed on the IDX. The population of this study is all mining sector companies listed on the IDX for the period 2014-2020. The purposive sampling method is used as the sampling technique. The total population is 49 companies and the number of samples that meet the criteria are 44 companies. The research period is 7 years, so the total number of observations is 308 data (pooled data). The Moderated Regression Analysis (MRA) is used as the analysis method. The result is as follow: (1) capital structure has a negative significant effect on firm value;(2) profitability has a positive significant effect on firm value;(3) dividend payment has no significant effect on firm value;(4) inflation has a negative significant effect on firm value;(5) GCG has a moderating effect on the influence of capital structure, profitability and inflation on firm value, with the type of Quasi Moderating, whereas on the influence of dividend payments on firm value, it was the type of Pure Moderating.
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Despite this focus on pandemic-related supply chain disruptions, fewer empirical studies have sought to isolate short-term price impacts in food and nonfood agricultural commodity markets.1 Understanding the drivers of short-term commodity price impacts is critical to understanding future susceptibility to major market shocks and to informing policies related to shock mitigation. Declines in ethanol production reached an estimated 2 billion gallons lost from March to November 2020, leading to a corresponding decline of 700 million bushels of corn usage and a loss of billions of dollars of ethanol producer surplus (Renewable Fuels Association, 2020b;Schmitz, Moss, and Schmitz, 2020). Increases in corn-based ethanol production that started in 2005 have linked agricultural commodity prices and energy markets as US ethanol production increased rapidly from 3.9 billion gallons in 2005 to 13.3 billion by 2010 and 15.8 billion by 2019 (Chakravorty, Hubert, and Nøstbakken, 2009;Wright, 2011;Roberts and Schlenker, 2013;Asgari, Saghaian, and Reed, 2020;US Department of Agriculture, 2021). Given that over 90% of US ethanol is used in mixtures of E10 gasoline and the US market reached a 10% "blend wall" in 2016, any reduction in gasoline use will cause proportional decreases in ethanol use (US Energy Information Administrationa, 2020;US Department of Agriculture, 2021).
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The proceedings contain 360 papers. The topics discussed include: comparison of three methods assessing spirometry bronchodilator responsiveness in children;the quality of spirometry testing: a systematic review;airflow severity in asthma minimally affects within-session oscillometry variability;corrected normative multiple breath washout data in pre-school aged children;prevalence and predictors of tidal expiratory-flow-limitation in healthy adolescents/young adults;impact of change of significant bronchodilator response definition;volume-dependence of reactance as a measure of ventilation inhomogeneity;mechanisms of impaired gas exchange following hospitalization for severe COVID-19;increased shunt and dead space in recovered COVID-19 pneumonitis patients;airway hyperresponsiveness detection in atopic asthma using exhaled nitric oxide;increased conductive ventilation heterogeneity following exposure to coal-mine fire smoke;accuracy of transcutaneous carbon dioxide monitoring during sleep studies;and effect of hematopoietic stem cell transplant on small airways function.
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In this article, we investigate the effect of different energy variables on economic growth of several oil-importing EU member states. Three periods from 2000 to 2020 were investigated. Three different types of regression models were constructed via the gretl software. Namely, the OLS, FE, and SE approaches to panel data analysis were investigated. The FE approach was chosen as the final one. The results suggest the importance of the consumption of both oil and renewable energy on economic growth. Crises of certain periods also had a noteworthy effect as well.
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The social uprising in Colombia since 2019 and the effects of the COVID-19 pandemic have exacerbated tensions re-vealing unusual territorial disputes. This article presents socio-spatial processes derived from the transformations induced by extractivism in the departments of Cesar and La Guajira, emphasizing the role of social mobilization. The ob-jective is to expose dynamics that reflect the territorialization of production relations. The intention that directed the in-vestigation was to capture guidelines that allow interpreting emerging conditions in regional environments impacted by extractivism. For this, official indicators were used, press monitoring and cartographic analysis of satellite images were carried out. It was concluded that there is a diverse ar-ticulation of social actors that arise from the existing territo-rial dynamics and challenge the bases of the extractivist mo -del. With this perspective, we reflect on the role of territorial planning in the face of the urgency of new alternatives that imply overcoming the current socio-environmental crisis derived from transnational mining.
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In this paper, we examine for the first time in the literature the implications of energy policy alternatives for Germany considering the aftermath of coronavirus as well as Electricity and Gas energy supply shortages. Whilst several policy options are open to the government, the choice of investment in renewable energy generation versus disinvestment in non-renewable energy such as coal energy generation provides divergent impacts in the long term. We utilize data from British Petroleum and the World Bank Development Indicator database for Germany covering 1981 to 2020 to explore a Carbon function by applying a battery of Autoregressive distributed lag model (ARDL), dynamic ARDL and Kernel-Based Regularized Least squares approaches. The particular policy tested is the pledge by Germany to decrease emissions by ∼100% in 2050, and this was integrated through the estimation of dynamic ARDL estimation. The simulation result shows that a ＋61% shock in renewable energy production decreases carbon emissions unlike coal energy production which increases carbon emissions in the beginning but the carbon emissions decrease thereafter. The findings highlight the inevitability of cutting down on coal production, and recommends energy investment alternatives. Hence, Germany's energy policy should contemplate more thoroughly on these factors. © 2023 The Author(s)
ABSTRACT
China's energy structure is dominated by fossil fuels, especially coal consumption, which accounts for a relatively high share. In January 2020, the COVID-19 outbreak affected the global coal market, and many countries experienced negative economic growth. Economic development requires energy consumption. In 2021, China set a target of peaking carbon emissions by 2030 in order to phase out the dependence of carbon emissions on economic development. Therefore, the aim of this article is to develop directions for the sustainable development of China's coal industry. Based on the macroenvironment and situation analysis, the article concludes that, under the influence of geopolitics, China's shortage of imported coal resources and China's continuous rise in coal demand, the share of coal in China's energy structure will not decrease significantly in the long-term. The main directions for the sustainable development of China's coal industry are to ensure the safety of coal energy storage and improve the level of safety supervision;coordinate the development of regional energy;increase the clean, efficient, and low-carbon utilization of coal;and strengthen international coal strategic cooperation.
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Alternative energy alternatives to traditional energy sources like coal and fossil fuels include solar PV and wind energy conversion systems. The solar and wind energy conversion system's maximum power may be obtained by activating the converters. There are several MPPT (Maximum Power Point Tracking) regulating methods for solar and wind energy conversion systems. For solar PV energy conversion systems, this study suggests two MPPT controlling techniques: Covid-19 MPPT and FLC-based MPPT. The two MPPT methods that are suggested are put into practise using MATLAB. The first Covid-19 approach that has been developed combines aspects of hill climbing and progressive conductance methods. Calculate the direction of the perturbation for the PV modules' operation using the incremental conductance approach. The method of ascending hills is straightforward and involves fewer variables. When dI/dV equals the incremental conductance, the Maximum Power Point (MPP) is attained using the incremental conductance approach. In the hill climbing approach, the MPP is determined by comparing the power in the present and the past. Both incremental conductance and change of power are taken into account in the proposed Covid-19 MPPT regulating approach to obtain the MPP. With this hybrid approach, solar PV generates the most electricity possible under all conditions of temperature and irradiance. As a result, the planned Covid-19 technique moves forward as intended and swiftly reaches the MPP.Copyright © 2022, Anka Publishers. All rights reserved.
ABSTRACT
To avoid dangerous climate change, the global community has committed to phasing down coal at COP26 in Glasgow. Since policies and pledges currently implemented in the power sector are not sufficient to meet mitigation targets, countries are expected to increase their ambition over time within the UNFCCC process. Furthermore, some countries are bilaterally negotiating support packages to speed up the phase-out of coal through ‘Just Energy Transition Partnerships'. Yet, to assess those ratcheting up efforts an understanding of the current baseline is pivotal. Here, we quantify the probability that currently planned coal plants will be built, based on an in-depth expert elicitation consisting of interviews with 29 experts from ten countries. We analyze the most important factors influencing the realization of the coal pipeline, isolate the effect of the COVID-19 pandemic, and compare the experts' forecasts with mitigation pathways scenarios. We find that globally 170 GW–270 GW of new coal-fired power plants are likely to be built in the upcoming years. Future negotiations for joint partnerships can use the results of this elicitation as a baseline to determine ambitious coal phase-out plans.
ABSTRACT
In the wake of the COVID-19 pandemic and the Russian invasion of Ukraine, many countries see coal as the easiest solution to their energy sector challenges, despite the consequences for climate goals. Several countries of the European Union started to re-evaluate their coal policies vis-à-vis the current energy crisis and, although such a change is expected to be short-term in nature, it nevertheless has negative consequences for the Union's 2050 climate goal. However, most of the EU countries did not revise their phase-out goals. This paper examines Slovakia as a country that embarked on a coal phase-out trajectory only a few years before the pandemic broke out and stayed firmly on this path despite benefits stemming from the continued use of domestic coal. Domestic coal used to be considered a safeguard of energy security in Slovakia, especially after the 2009 gas crisis. However, a decision was made in 2018 to phase out coal by 2023, and this has not changed despite increased focus on domestic energy sources as energy security guarantors during the current energy crisis. This paper explains the decision in favour of a coal phase-out and its support vis-à-vis the energy crisis using the concept of ‘financial Europeanisation', which stresses the importance of EU funds for the development of the domestic policies of EU member states. While the expected funds serve as a catalyst for the coal phase-out needed to reach climate goals, short-term advantages of revising a coal phase-out were outweighed by long-term benefits provided by EU funds.
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This study measures the total factor carbnon dioxide (CO2) emissions performance of the metal industry, iron and steel, nonferrous metal, and metal processing industries in 39 Japanese prefectures from 2008 to 2019. The true fixed-effects panel stochastic frontier model identifies regional carbon efficiency as well as the inefficiency determinants. The main results are as follows. First, a decrease in the coal ratio and an increase in the electricity ratio in total energy consumption improves efficiency. This result suggests that electrification in the metal industry, especially conversion from blast furnaces to electric furnaces in the iron and steel industry, contributes to reducing carbon emissions. Second, industrial agglomeration improves carbon emissions performance in the metal industry. This implies that agglomeration and decarbonization policies focusing on there are more effective, rather than a uniform national policy. Third, compared to the cumulative CO2 emissions over the sample period, 49,017 × 103 tons, the cumulative CO2 mitigation potential is 29,703 × 103 tons, indicating that CO2 emissions can be reduced by 60.6% without affecting the output. Forth, to examine the green economic recovery with efficiency in Japan's metal industry after COVID-19, we present a simple scenario analysis where a k% replacement coal ratio with an electricity ratio in total energy consumption, assuming that each prefecture will achieve the maximum CO2 emission amount during the sample period. By replacing 10% of the coal ratio with the electricity ratio, CO2 emissions can be reduced by 23.0%. In the case of a 20% replacement, CO2 emissions can be reduced by 33.0%. Our results show that Japan's targets in the post-COVID-19 green recovery process should be a decrease in coal consumption, an increase in electricity, and industrial agglomeration. © 2023 Elsevier Ltd
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PurposeCarbon trading mechanism has been adopted to foster the green transformation of the economy on a global scale, but its effectiveness for the power industry remains controversial. Given that energy-related greenhouse gas emissions account for most of all anthropogenic emissions, this paper aims to evaluate the effectiveness of this trading mechanism at the plant level to support relevant decision-making and mechanism design.Design/methodology/approachThis paper constructs a novel spatiotemporal data set by matching satellite-based high-resolution (1 × 1 km) CO2 and PM2.5 emission data with accurate geolocation of power plants. It then applies a difference-in-differences model to analyse the impact of carbon trading mechanism on emission reduction for the power industry in China from 2007 to 2016.FindingsResults suggest that the carbon trading mechanism induces 2.7% of CO2 emission reduction and 6.7% of PM2.5 emission reduction in power plants in pilot areas on average. However, the reduction effect is significant only in coal-fired power plants but not in gas-fired power plants. Besides, the reduction effect is significant for power plants operated with different technologies and is more pronounced for those with outdated production technology, indicating the strong potential for green development of backward power plants. The reduction effect is also more intense for power plants without affiliation relationships than those affiliated with particular manufacturers.Originality/valueThis paper identifies the causal relationship between the carbon trading mechanism and emission reduction in the power industry by providing an innovative methodology for identifying plant-level emissions based on high-resolution satellite data, which has been practically absent in previous studies. It serves as a reference for stakeholders involved in detailed policy formulation and execution, including policymakers, power plant managers and green investors.
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The Svalbard archipelago is a centre of global research on climate change and also an example of a rapidly changing Arctic area with tourism replacing the traditional mining industry. We compared the different development paths of the Norwegian (Longyearbyen and Ny-Ålesund) and Russian settlements (Barentsburg and Pyramida) on Spitsbergen as part of the Svalbard archipelago using demographic and socio-economic data until 2022 when available, but not focusing on the impacts of COVID-19 and changing geopolitics after 2022. We analysed strategy documents produced by Norway and Russia and by organisations connected to Svalbard. The analysis continued by scrutinising the statistical data available to ascertain if this supported the strategic goals outlined in the documents. Data collection was by direct enquiry to national statistical bureaus, agencies and institutions in Norway and Russia. Secondary data were collected from media publications and social media accounts. Statistics Norway provided very detailed data on demographics and industrial structure, turnover, investments and comprehensive statistics on employees by industry on Norwegian settlements on Svalbard. The results revealed disparities in socio-economic development, striking differences in data availability and in transparency between the Norwegian and Russian settlements. The population in the Norwegian settlements continued to grow during the period 1990–2022 with an increasing number of foreign nationals, and the population in the Russian settlements decreased by 85% at the same time period. The Norwegian settlements exemplify a diversified economy with a growing private sector, and the Russian settlements continued to rely on the town-forming Russian state unitary coal mining enterprise, Trust Arktikugol. While Svalbard presented a prime example of open data and transparency in the environmental sciences, the socio-economic and demographic statistics were lagging behind. Several practical proposals are presented for improved data collection on the Svalbard settlements.
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As in 2020, the biggest stories in Mongolia in 2021 and 2022 were elections, COVID-19, and how to cope with the contracting economy. At the end of the year, Mongolia was struggling to meet public health challenges and to recover from the economic downturn. Both the government that was elected in 2020 and the president who took office in 2021 have promised to improve corruption, which is endemic in Mongolia, but people have yet to see much change. Popular dissatisfaction led to a huge public protest in December 2022 that demanded the government ensure more transparency in the coal trade. Thirty years after a peaceful transition to democracy, Mongolia is facing its greatest challenge: how to maintain and develop a transparent democracy that truly cares about public opinion and people's livelihoods.
ABSTRACT
Indonesia is one of the main exporters of coal and palm oil, implying the source of energy in futures. However, these commodities could have a greater impact on national economy, determining stock market performance. The movement of international trade related to these commodities also contributes to pricing creation in global market. This research aims to investigate the effect of coal and palm oil prices on Indonesia stock performance by a stock market index price. The Autoregressive Distributed Lag (ARDL) was employed in this study to gain the long and short-run results. The research observations lasted between September and December 2021. The research novelty lies in exploring the impact of coal and palm oil price movements after the COVID-19 pandemic in 2020 on the Indonesia Stock Market performance. It can be concluded that these effects are short-t and long-term or both. The findings show long-and short-run effects of palm oil prices on the stock market performance. However, Coal has only a long-run effect on the stock performance. The implication of this study is the consideration of these commodities by policymakers and practitioners for policy in developing the stock market performance. The research limitations and recommendations are also discussed. © 2022, City University of Hong Kong Press. All rights reserved.