ABSTRACT
Personal greenhouse gas (PGHG) emissions were crucial for achieving carbon peak and neutrality targets. The accounting methodology and driving forces identification of PGHG emissions were helpful for the quantification and the reduction of the PGHG emissions. In this study, the methodology of PGHG emissions was developed from resource obtaining to waste disposal, and the variations of Shanghainese PGHG emissions from 2010 to 2020 were evaluated, with the driving forces analysis based on Logarithmic Mean Divisia Index (LMDI) model. It showed that the emissions decreased from 3796.05 (2010) to 3046.87 kg carbon dioxides (CO2) (2014) and then increased to 3411.35 kg CO2 (2018). The emissions from consumptions accounted for around 62.1% of the total emissions, and that from waste disposal were around 3.1%, which were neglected in most previous studies. The PGHG emissions decreased by around 0.53 kg CO2 (2019) and 405.86 kg CO2 (2020) compared to 2018 and 2019, respectively, which were mainly affected by the waste forced source separation policy and the COVID-19 pandemic. The income level and consumption GHG intensity were two key factors influencing the contractively of GHG emissions from consumption, with the contributing rate of 169.3% and − 188.1%, respectively. Energy consumption was the main factor contributing to the growth of the direct GHG emissions (296.4%), and the energy GHG emission factor was the main factor in suppressing it (− 92.2%). Green consumption, low carbon lifestyles, green levy programs, and energy structure optimization were suggested to reduce the PGHG emissions. © 2023, The Author(s).
ABSTRACT
Understanding the interactions among climate change, carbon emission allowance trading, crude oil and renewable energy stock markets, especially the role of climate change in this system is of great significance for policy makers, energy producers/consumers and relevant investors. The present paper aims to quantify the time-varying connectedness effects among the four factors by using the TVP-VAR based extensions of both time- and frequency-domain connectedness index measurements proposed by Antonakakis et al. (2020) and Ellington and Barunik (2021) [8,48]. The empirical results suggest that, firstly, the average total connectedness among climate change, carbon emission allowance trading, crude oil and renewable energy stock markets is not so strong for the heterogenous fundamentals underlying them. Nevertheless, the time-varying total connectedness fluctuates fiercely through May 2005 to September 2021, varying from about 8% to 30% and rocket to very high levels during the global subprime mortgage crisis and the COVID-19 pandemic. Furthermore, the total connectedness mainly centers on the short-term frequency, i.e., 1–3 months. Secondly, climate change is generally the leading information contributor among the four factors, although not particularly strong, and its leading role also performs mainly on the short-term frequency (1–3 months). Thirdly, renewable energy stock market and crude oil market show tight interactions between them and they are the two major bridges of information exchanges across various time frequencies (horizons) in this system. Finally, we confirm the evidence that the primary net connectedness contributor and receiver switch frequently across different time frequencies, implying that it is extremely essential for policy makers, energy producers/consumers and investors to make time-horizon-specific regulatory, production/purchasing or investment decisions when facing the uncertain effects of climate change on the interactions among carbon emission allowance, crude oil and renewable energy stock markets. © 2022 Elsevier Ltd
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With enhanced global scrutiny in the backdrop of climate change, we attempt to identify the importance of the ESG framework during Covid-19 pandemic to produce guidelines for future sustainability practices. A comprehensive review of literature on ESG regulatory frameworks for sample developed and developing country was performed leading to undertaking of a cross-country comparative ESG analysis. It was revealed that a country's social and governance disclosure were driven by either voluntary or by mandatory codes that could not be a standalone factor for uplifting the country's overall ESG level. Other governance measures like sustainability reporting and integrated reporting practices need to be considered in order to uplift the ESG practice. Country-level environmental commitment was vital for both developed and emerging markets for solving information asymmetry issues and establishment of resilient business operations and reporting practices, leading to an emerging sustainable practice which needs to be adopted. Our findings offer valuable insights for regulators, institutional investors and policymakers in terms of considering ESG practices adopted by developed countries and bridging the gap from unsustainability to sustainability in countries with least developed emerging ESG countries. The study encourages the regulators to devise disclosure policies as per the Triple ‘C' framework namely policies that are convenient, credible and comparable with the flexibility to encompass black swan events like Covid-19. The purpose of such disclosures should be to resolve the information asymmetry problem which primarily exists when regulations are non-mandatory. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
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Although switching from non-renewable to renewable energy is believed to stimulate low-carbon economic growth, the means to establishing this energy transition have largely remained unexplored in the extant literature. Against this backdrop, this study focuses on evaluating how scaling public investment in renewable energy-related research and development projects impacts the carbon productivity levels in the top-10 renewable energy-investing countries. The estimation strategy comprised econometric methods that can handle cross-sectional dependency and slope heterogeneity related concerns in the data. Regarding the key findings, higher public research and development-related investments in renewable energy are observed to boost carbon productivity levels in the concerned countries, while natural resource consumption and net exports are found to reduce carbon productivity. Besides, the results endorsed that public research and development investment for renewable energy development exhibits a moderating role by jointly boosting carbon productivity with higher natural resource consumption and net exports. Moreover, it is also seen to inflict a mediating effect by jointly boosting carbon productivity with urbanization. In line with these findings, the concerned governments are recommended to scale such investment in order to stimulate technological innovation so that renewable energy transition can take place to establish low carbon economic growth. © 2023 Elsevier Ltd
ABSTRACT
Remote working is increasingly seen as an effective model in several countries in the last decade, mainly thanks to the development of information and communication technologies in support of common daily working tasks. The emergence of the COVID-19 pandemic has represented a pivotal moment for the adoption of remote working in multiple sectors, with positive effects on the environmental impacts caused by the daily commuting of workers. However, due to the fact that pandemic-induced remote working has represented a major forced experiment on a global scale, and that it has often been imposed rather than chosen by employees, workers' well-being has not always been ensured. This research work presents an analysis of a wide survey of remote workers in public administrations in four different provinces in Italy, with the aim of assessing the main characteristics of the users and the related environmental benefits. Survey data refer to remote workers before COVID-19, thus representing workers who have freely chosen to work from home for different reasons. The results of this work represent a useful tool with which to support the definition of new remote work strategies that could help policy makers reduce a part of the systematic mobility demand. We have also calculated average energy and emission savings to provide useful indicators for a preliminary estimation of the potential environmental benefits of remote working. Considering the entire sample of respondents, workers who would have commuted at least partially by car have saved on average 6 kg of CO2 per day thanks to remote working (with an average round-trip commuting distance of approximately 35 km). The current results will be supplemented by the results of a new survey underway, aimed at evaluating the differences of remote working experiences during the emergency response to COVID-19. © 2023 by the authors.
ABSTRACT
Climate change has been identified as a major challenge to African countries given the prevalence of poverty, low infrastructural development, and the dependence of African countries on agriculture. The yearly rainfall pattern in Africa had been stable for most parts of the year. However, given the increasing variability in the duration and the intensity of the rains, dry season, the erratic and changing nature of weather systems like floods and extended periods of no rainfall affect farmers who rely on rainfall for their agricultural activity. Large-scale destruction of farmlands and villages by floods in Nigeria, Mali, Burkina Faso as well as many other countries in sub-Saharan Africa can be blamed for the dwindling food supply in the region. In an attempt to meet up with the food challenge, more virgin forests are being exploited leading to increased Green House Gases (GHGs) emissions. As a result, agriculture will certainly be affected as well as being a significant cause or major contributor to the incidence of climate change. Efforts had been put on rural development by African governments to reverse the effect of challenges posed by climate change. However, this had been limited by a sustained effect of worsening socioeconomic challenges, like the incidence of HIV-AIDS, COVID-19, other health challenges, food crises, hunger, and malnutrition. This scenario can be reduced with an effective adaptation strategy to climate change followed by a sound agricultural policy that will lead to the expansion of different channels of food access and an increase in food production. There is evidence that most of the small-holder African farmers are slow in adapting to variations in weather patterns resulting from climate change which affects the agricultural output. This calls for a comprehensive policy option that will turn the fortunes of the farmers towards improved agricultural productivity leading to increased access to food. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
The low-carbon development of air transport industry is of great significance for China to achieve the commitment of carbon peak and carbon neutrality goals. In order to improve the basic data of aviation CO2 emissions, this study continuously collected full flight information in China from January 2017 to December 2020, and established a flight information database and an aircraft-engine parameter database. On the basis of IPCC's Tier 3B accounting method, this study established a long-term aviation CO2 emissions inventory of China from 2017 to 2020 by calculating and accumulating CO2 emissions of each flight. And aviation CO2 emissions of various provinces and cities in China were calculated combined with spatial allocation method. The results showed that aviation CO2 emissions in China was 104.1, 120.1, 136.9, and 88.3 Mt in 2017, 2018, 2019, and 2020, respectively, with annual growth rates of 15.4%, 14.0%, and −35.3% in 2018, 2019, and 2020, respectively. Affected by the COVID-19 pandemic, aviation CO2 emissions in all 31 provinces and 93% of cities decreased in 2020 compared with 2019. China is in the stage of rapid development of air transport industry, and aviation fossil energy consumption and CO2 emissions have continued to grow in recent years. © 2022 Elsevier Ltd
ABSTRACT
The lockdown policy deals a severe blow to the economy and greatly reduces the nitrogen oxides (NOx) emission in China when the coronavirus 2019 spreads widely in early 2020. Here we use satellite observations from Tropospheric Monitoring Instrument to study the year-round variation of the nitrogen dioxide (NO2) tropospheric vertical column density (TVCD) in 2020. The NO2 TVCD reveals a sharp drop, followed by small fluctuations and then a strong rebound when compared to 2019. By the end of 2020, the annual average NO2 TVCD declines by only 3.4% in China mainland, much less than the reduction of 24.1% in the lockdown period. On the basis of quantitative analysis, we find the rebound of NO2 TVCD is mainly caused by the rapid recovery of economy especially in the fourth quarter, when contribution of industry and power plant on NO2 TVCD continues to rise. This revenge bounce of NO2 indicates the emission reduction of NOx in lockdown period is basically offset by the recovery of economy, revealing the fact that China's economic development and NOx emissions are still not decoupled. More efforts are still required to stimulate low-pollution development. © 2022
ABSTRACT
Sustainable economic development and green recovery in the post-COVID-19 era in China requires consideration of natural resource dependence (NRD) and environmental regulation (ER) of CO2 emissions. Based on panel data covering 2008 and 2018 in China, this paper explores the impacts of NRD on carbon emissions and the moderating role of ER. In addition, the heterogeneity, asymmetry, and mediating mechanism are investigated in this study. Following are the main conclusions: (1) Decreasing the dependence on natural resources and strengthening ER can effectively cut down CO2 emissions, and the enhanced ER can reduce the contribution of NRD to CO2 emissions;(2) the positive influence of NRD on carbon emissions are consistent in various regions, while the influence of ER on CO2 emissions is negative in areas with high levels of NRD;(3) the reduced natural resources dependence can accelerate the carbon emissions reduction process indirectly by causing a reduction in China's total energy demand and coal consumption and accelerating the green technological innovation. The findings present several policy recommendations for achieving carbon emissions reduction.
ABSTRACT
It is necessary to accurately calculate ship carbon emissions for shipping suitability. The state-of-the-art approaches could arguably not be able to estimate ship carbon emissions accurately due to the uncertainties of Ship Technical Specification Database (STSD) and the geographical and temporal breakpoints in Automatic Identification System (AIS) data, hence requiring a new methodology to be developed to address such defects and further improve the accuracy of emission estimation. Firstly, a novel STSD iterative repair model is proposed based on the random forest algorithm by the incorporation of13 ship technical parameters. The repair model is scalable and can substantially improve the quality of STSD. Secondly, a new ship AIS trajectory segmentation algorithm based on ST-DBSCAN is developed, which effectively eliminates the impact of geographical and temporal AIS breakpoints on emission estimation. It can accurately identify the ships' berthing and anchoring trajectories and reasonably segment the trajectories. Finally, based on this proposed framework, the ship carbon dioxide emissions within the scope of domestic emission control areas (DECA) along the coast of China are estimated. The experiment results indicate that the proposed STSD repair model is highly credible due to the significant connections between ship technical parameters. In addition, the emission analysis shows that, within the scope of China's DECA, the berthing period of ships is longer owing to the joint effects of coastal operation features and the strict quarantine measures under the COVID-19 pandemic, which highlights the emissions produced by ship auxiliary engines and boilers. The carbon intensity of most coastal provinces in China is relatively high, reflecting the urgent demand for the transformation and updates of the economic development models. Based on the theoretical models and results, this study recommends a five-stage decarbonization scheme for China's DECA to advance its decarbonization process. © 2022 Elsevier Ltd
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Apart from the many social and health problems it has caused, the COVID-19 pandemic has had a severe impact on most sectors of the economy worldwide. One of the areas where such impact is noticeable is the textile, apparel, and fashion (TAF) industry. The lockdowns and limited access to retailer outlets resulted in a considerable drop in consumption, creating problems related to the excess of stock, the decrease of sales, and the disposal of non-used items. This paper outlines the implications of the COVID-19 on the TAF sectors and European retailers. It analyzes how the current supply chains exacerbated stock control problems, and it reports on the changes in consumption during the pandemic. The worldwide restrictive measures implemented to cope with the COVID-19 pandemic were responsible for significant profit losses. Also, the decrease in consumption, caused by several geographically wide lockdowns, prompted a subsequent reduction in orders and sales, resulting in a significant number of constraints. The implementation of more environmentally friendly processes, including sustainable circularity as a competitiveness source to keep the TAF sectors in the loop and reduce greenhouse gas emissions, may help address the problems associated with the COVID-19 pandemic in the sustainability context, as reported in this paper. © The Author(s) 2022.
ABSTRACT
Grandfather rights require airlines to operate at least 80 % of their slots, if they are to keep them in the next scheduling period. To prevent losing slots, the airlines may operate slot-rescue flights, an airline strategy called slot hoarding. We model strategies of a monopolistic airline which chooses between long-haul and short-haul flights at a slot-coordinated airport. In cases of a binding use-it-or-lose-it rule, we observe a bias in the airline route network in favor of slot-rescue flights on short-haul distances. Slot-rescue flights reduce airline profits, but raise consumer surplus and airport profits. The overall effect of slot-rescue flights on welfare, however, remains ambiguous. Recently, slot hoarding and its climate impact have received considerable attention during the COVID-19 pandemic. We show that the environmental effects of slot-rescue flights are asymmetric. The climate damage of slot hoarding in the EU is reduced by the EU ETS, whereas CORSIA is rather ineffective. © 2022 Elsevier Ltd
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The transport sector has been identified as one of the main contributors to nitrogen dioxide (NO2) pollution in Ireland. This research develops an enhanced Wind Sector Land Use Regression (WS-LUR) model to estimate NO2 concentrations across Ireland, in areas where air pollution monitoring is not available. The model incorporates details of the vehicle fleet breakdown to weight vehicle type flows based on the emission rates of the vehicle type, differentiating routes with varying proportions of heavier emitting vehicles. In 2008, car taxation underwent a significant change from an engine size based system to a carbon dioxide (CO2) emission rate based system resulting in a significant transition towards diesel fuelled vehicles. A mitigation strategy to remove diesel fuelled vehicles from the public service vehicle fleet was tested achieving predicted NO2 reductions in the range of 0.3 μg/m3 to 1.9 μg/m3. The impact of COVID-19 on NO2 concentration levels was also investigated. © 2022 Elsevier Ltd
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Tourism was one of the fastest-growing sectors of the global economy before the COVID-19 pandemic, accounting for around 10% of global GDP. This has created a number of challenges including environmental degradation, especially in small island countries where the carbon footprint of tourism constitute a substantial share of carbon dioxide (CO2) emissions. This study investigates the impact of tourism on CO2 emissions in a relatively homogenous panel of 15 Caribbean countries over the period 1960–2019. The results show that international tourist arrivals have a statistically and economically significant effect on CO2 emissions, after controlling for other economic, institutional and social factors. Managing tourism sustainably requires a comprehensive set of policies and reforms aimed at reducing its environmental impact, and curbing excessive dependency on fossil fuel-based energy consumption. © 2022 International Monetary Fund.
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Studying the spatiotemporal evolution of carbon emissions from the perspective of major function-oriented zones (MFOZs) is crucial for making a carbon reduction policy. However, most previous research has ignored the spatial characteristics and MFOZ influence. Using statistical and spatial analysis tools, we explored the spatiotemporal characteristics of carbon emissions in Guangdong Province from 2001 to 2021. The following results were obtained: (1) Carbon emissions fluctuated from 2020 to 2021 because of COVID-19. (2) Over the last 20 years, the proportion of carbon emissions from urbanization development zones (UDZs) has gradually decreased, whereas those of the main agricultural production zones (MAPZs) and key ecological function zones (KEFZs) have increased. (3) Carbon emissions efficiency differed significantly among the three MFOZs. (4) Carbon emissions from coastal UDZs were increasingly apparent; however, the directional characteristics of MAPZ and KEFZ emissions were not remarkable. (5) Carbon transfer existed among the three kinds of MFOZs, resulting in the economy and carbon emissions being considerably misaligned across Guangdong Province. These results indicated that the MFOZ is noteworthy in revealing how carbon emissions evolved. Furthermore, spatiotemporal characteristics, especially spatial characteristics, can help formulate carbon reduction policies for realizing carbon peak and neutrality goals in Guangdong Province.
Subject(s)
COVID-19 , Carbon , Humans , Carbon/analysis , COVID-19/epidemiology , Urbanization , Agriculture , China , Carbon Dioxide/analysis , Economic DevelopmentABSTRACT
While the decrease in air pollutant concentration during the COVID-19 lockdown is well documented, neighborhood-scale and multi-city data have not yet been explored systematically to derive a generalizable quantitative link to the drop in vehicular traffic. To bridge this gap, high spatial resolution air quality and georeferenced traffic datasets were compiled for the city of London during three weeks with significant differences in traffic. The London analysis was then augmented with a meta-analysis of lower-resolution studies from 12 other cities. The results confirm that the improvement in air quality can be partially attributed to the drop of traffic density, and more importantly quantifies the elasticity (0.71 for NO2 & 0.56 for PM2.5) of their linkages. The findings can also inform on the future impacts of the ongoing shift to electric vehicles and micro-mobility on urban air quality.
ABSTRACT
The COVID-19 pandemic has severely impacted human activities in a way never documented in modern history. The prevention policies and measures have abruptly changed well-established urban mobility patterns. In this context, we exploit different sources of urban mobility data to gain insights into the effects of restrictive policies on the daily mobility and exhaust emissions in pandemic and post-pandemic periods. Manhattan, the most densely populated borough in New York City, is chosen as the study area. We collect data generated by taxis, sharing bikes, and road detectors between 2019 and 2021, and estimate exhaust emissions using the COPERT (Computer Programme to calculate Emissions from Road Transport) model. A comparative analysis is conducted to identify important changes in urban mobility and emission patterns, with a particular focus on the lockdown period in 2020 and its counterparts in 2019 and 2021. The results of the paper fuel the discussion on urban resilience and policy-making in a post pandemic world.
ABSTRACT
Ammonia-nitrogen, a grave environmental concern, is a typical pollutant in deliming process due to the inclusion of ammonium salts as deliming agents in leather manufacture. In order to reduce the emission of ammonianitrogen and improve the biological treatment of mixed tannery wastewater, an ammonium-free deliming method was designed and optimized based on the synergistic effects of aromatic sulfonic acids and sodium dihydrogen phosphate. The results indicated that, the penetrating and buffering performance of the mixtures of p-Hydroxybenzene sulfonic acid (pHBSA) and sodium dihydrogen phosphate (SDHP) at weight ratio of 2:1 was good enough to fulfill the requirement of deliming. The organoleptic and mechanical properties of the crust leather produced by pHBSA-SDHP mixtures deliming were similar with the conventional ammonium sulfate deliming, and the grain pattern was found to be protected against the damage caused by enzymes during bating. The concentrations of ammonia-nitrogen and total nitrogen in pHBSA-SDHP deliming effluent were dramatically cut down by 99% and 94%. It is anticipated that the mixed tannery wastewater could be disposed of more easily by means of adjusting the total organic ratios of C:N:P to their natural ratio by introducing an additional carbon and phosphorus source to the tannery wastewater. This investigation provides an improved method of leather making with significant reduction of ammonia nitrogen emission in deliming operation and fulfills the integral requirements of the modern sustainable leather industry.
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In this study, three approaches namely parallel, sequential, and multiple linear regression are applied to analyze the local air quality improvements during the COVID‐19 lockdowns. In the present work, the authors have analyzed the monitoring data of the following primary air pollutants: particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO). During the lockdown period, the first phase has most noticeable impact on airquality evidenced by the parallel approach, and it has reflected a significant reduction in concentration levels of PM10 (27%), PM2.5 (19%), NO2 (74%), SO2 (36%), and CO (47%), respectively. In the sequential approach, a reduction in pollution levels is also observed for different pollutants, however, these results are biased due to rainfall in that period. In the multiple linear regression approach, the concentrations of primary air pollutants are selected, and set as target variables to predict their expected values during the city's lockdown period.The obtained results suggest that if a 21‐days lockdown is implemented, then a reduction of 42 µg m−3 in PM10, 23 µg m−3 in PM2.5, 14 µg m−3 in NO2, 2 µg m−3 in SO2, and 0.7 mg m−3 in CO can be achieved.
ABSTRACT
China's economy and environment urgently require a green recovery as COVID-19's consequences expand over time, and the platform economy is a practical means of pursuing this goal. By employing the Generalized Divisia Index Method (GDIM), this paper aims to analyze the impact of platform economy on carbon emissions in China during the period 2013–2020. Overall, the platform economy has increased carbon emissions, but there was a decrease in carbon emissions in the platform economy between 2014 and 2016. The scale factors of platform economy are the primary contributors to the increase in China's overall emissions and most provincial carbon emissions, while the carbon intensity of platform economy factors contributes most to the decrease in carbon emissions. In particular, the carbon intensity of platform economy factors promoted the most cumulative carbon emissions in Jiangsu, Heilongjiang, Yunnan, Qinghai, and Ningxia between 2013 and 2020, and the energy intensity of platform economy factors reduced most of the cumulative carbon emissions of Heilongjiang, Yunnan, Qinghai, and Xinjiang during the same period. From the perspective of the heterogeneity of platform economic development, the main contributors of carbon mitigation from high-platform economic provinces are intensity effects. However, the platform economic structure of low-platform economic provinces significantly reduces carbon emissions. In addition, we also found significant differences in the factors influencing emissions in different groups under the influence of the pandemic. Finally, we provide some valuable references for China's platform economic development to achieve "carbon neutrality” targets. © 2023 Economic Society of Australia, Queensland