Background: Many in-person congresses have shifted to a virtual format owing to coronavirus disease 2019 (COVID-19). We assessed carbon emissions savings associated with virtual attendance at international medical congresses for a mid-sized pharmaceutical company, to identify which aspects are driving the carbon cost.
Methods: We assessed carbon emissions that were the responsibility of company attendees (including their guests) for the most attended congresses by employees (American Society of Clinical Oncology [ASCO], European Neuroendocrine Tumor Society [ENETS], European Society for Medical Oncology [ESMO], World Congress for NeuroRehabilitation [WCNR]). For in-person estimates, we considered travel, accommodation and congress attendance; for online estimates, we considered office and internet-related energy use. Emissions were defined using recognised data sources.
Results: For 1723 anticipated in-person attendees, calculated total carbon emissions were 3,262,574 kgCO (mean per in-person company attendee, 1894 kgCO: ASCO, 4172; ESMO, 1479; WCNR, 1153; ENETS, 1009). For context, the average UK resident's annual carbon footprint is 5600 kgCO. Travel accounted for 91-96% of total emissions, mainly through long distance and business-class air travel. Calculated total carbon emissions associated with 1839 virtual attendees were 19,095 kgCO (mean per virtual company attendee, 10.4 kgCO; equivalent to approximately 0.3-1.1% of in-person attendance emissions across all four congresses assessed).
Conclusion: Carbon emissions associated with virtual attendance were two orders of magnitude lower than for in-person attendance, and therefore the benefits of in-person attendance at medical congresses must be balanced against the carbon cost. Due diligence around who should attend and how they should travel to face-to-face meetings, and consideration of hybrid and domestic satellite options could be part of a balanced solution to reducing carbon emissions.
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http://dx.doi.org/10.1007/s40290-022-00421-3 | DOI Listing |
Sci Rep
January 2025
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China.
Owing to China's massive area and vastly differing regional variations in the types and efficiency of energy, the spatiotemporal distributions of regional carbon emissions (CE) vary widely. Regional CE study is becoming more crucial for determining the future course of sustainable development worldwide. In this work, two types of nighttime light data were integrated to expand the study's temporal coverage.
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January 2025
College of Architecture and Civil Engineering, Xinyang Normal University, Xinyang, 464000, China.
The construction industry is generally characterized by high emissions, making its transition to low-carbon practices essential for achieving a low-carbon economy. However, due to information asymmetry, there remains a gap in research regarding the strategic interactions and reward/punishment mechanisms between governments and firms throughout this transition. This paper addresses this gap by investigating probabilistic and static reward and punishment evolutionary games.
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January 2025
School of Humanities and Social Sciences, Anhui University of Science and Technology, Huainan, 232001, China.
In this paper, the Hefei metropolitan area is selected as the research object to measure industrial carbon emissions in this area during 2010-2022. The main contribution is to deeply analyze the characteristics of the spatial correlation network of industrial carbon emissions in the Hefei metropolitan area with the modified gravity model and social network analysis(SNA), and to explore the driving factors of its formation with quadratic assignment procedure(QAP). It establishes the foundation for the Hefei metropolitan area to differentiated green city development policies.
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January 2025
School of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, Sichuan, China.
China's digital economy is currently thriving, with the "dual carbon" targets representing a significant pursuit of economic development. The role of the digital economy in achieving these targets warrants detailed discussion. Using urban panel data from China spanning 2011 to 2021, this paper empirically examines the impact of the digital economy on urban carbon emissions.
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January 2025
Business School, Hebei University of Economics and Business, Shijiazhuang, 050062, China.
The development and implementation of county carbon control action plans in the Yellow River Basin (YRB) are crucial for realizing the "dual carbon" goals and modernizing national governance. Utilizing remote sensing data from 2001 to 2020, this study constructs a light-carbon conversion model and a carbon footprint model to simulate the carbon footprint of county energy consumption in the YRB. Employing spatial autocorrelation and spatial Durbin models, the study examines the temporal-spatial evolution characteristics and spatial effect mechanism.
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