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1.
Frontiers in Environmental Science ; 10, 2022.
Article in English | Web of Science | ID: covidwho-2198779

ABSTRACT

Supply chain emissions reduction is an important way to promote the development of a low-carbon economy and address climate challenges. Although the scale of livestream shopping has demonstrated unprecedented growth globally, especially since the COVID-19 outbreak, livestreaming supply chains have also contributed significantly to carbon emissions. Currently, optimisation models for the low-carbon governance of livestreaming supply chains are relatively lacking. To address the issue of carbon emission reduction in livestreaming supply chains, this study paper proposes three low-carbon governance decision-making models based on environmental and operating costs to compare which governance model is optimal. The most suitable decision result for the policymaker and supply chain is both cost-effective and environmentally successful under the model considering carbon tax and carbon trade. The results show that 1) governance based only on carbon tax and collaborative operation will decrease the total cost of the livestreaming supply chain but increase the environmental cost. 2) Governance based only on carbon trading and collaborative operation will increase the total cost of the livestreaming supply chain, while the environmental cost will not change. 3) Under governance that combines carbon tax and carbon trading, collaborative operations can effectively reduce both the total cost and the environmental cost of livestreaming supply chains. Theoretically, our study enriches the research on the low-carbon governance of livestreaming supply chains. Moreover, the research results provide useful insights into the formulation of a low-carbon policy for livestreaming supply chains.

2.
World Review of Science, Technology and Sustainable Development ; 19(1/2):40-54, 2023.
Article in English | CAB Abstracts | ID: covidwho-2197275

ABSTRACT

COVID-19 pandemic has lead to societal transformation in terms of economic, social, and environmental behaviours. Like other countries, Turkey has suffered from the pandemic. The aim of this study was to investigate the impacts of COVID-19 on the following major indicators: total hours worked by employees, number of employees, labour compensation, capital compensation, gross value added and nominal capital stock at current basic prices, and carbon dioxide (CO2) emissions. Throughout the study, an extended input-output (EIO) analysis was employed. The scope of the study was based on the decline in economic activities in the restricted sectors such as accommodation and food services, travel agencies, tour operators and other reservation and related services, air transport, land tourism, water transport, and leisure activities. Three main scenarios, i.e., fast recovery scenario, continuing slowdown scenario, and economic recession scenario, were set to analyse the effects of COVID-19 on the Turkish economy and CO2 emissions.

3.
Interdisciplinary Environmental Review ; 22(3-4):292-305, 2022.
Article in English | ProQuest Central | ID: covidwho-2197247

ABSTRACT

After rising for decades, carbon emissions fell in 2020 by 2.3 billion tonnes. The objective of the study is to investigate the effect of COVID-19 on carbon emissions in India by employing the nonlinear autoregressive distributed lag model over the period March 25, 2020, to August 31, 2021. Unit root test confirms that all variables are integrated at order I(0) and I(1). Bounds test supports long-run association amongst the variables. Results of the study validate the asymmetric relationship between COVID-19 determinants and CO2 emissions. It presents that lockdown has significantly reduced the CO2 emissions. This asymmetric relationship indicates that COVID-19 has become the major cause of reduction in greenhouse gases, but this cannot be treated as a permanent solution to environmental destruction. Thus, the study suggested that governments and policymakers should formulate FDI policy on high-tech low carbon technology while preparing a strict environmental access system and promote environmentally sustainable investment through subsidies.

4.
Journal of Medical Ethics ; 2022.
Article in English | ProQuest Central | ID: covidwho-2193898

ABSTRACT

Correspondence to Dr Anand Bhopal, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway;anand.bhopal@uib.no When weighing up which inhaler to prescribe, a doctor may prioritise a patient's preferences over the expected harms from the associated carbon emissions. A few examples include the dangerous working conditions for many people making surgical tools and equipment,4 the overseas export of contaminated clinical waste infecting individuals bordering refuse sites,5 and the hoarding of vaccines during intense global scarcity early in the COVID-19 pandemic.6 In each case, efforts to address these harms have been piecemeal, where acknowledged at all;in practice, harms occurring beyond a country's borders are routinely ignored in the moral and economic calculus. The relative value of carbon emissions in this revised equation would, in turn, be contingent on many other ethical factors, including risk aversion (since the harms of a given quantity of emissions are uncertain), discount rates (since the negative impacts are concentrated in the future) and whether the population of concern is national or global (since climate impacts are largely imposed on people far away).

5.
19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022 ; : 2139-2144, 2022.
Article in English | Scopus | ID: covidwho-2192069

ABSTRACT

The road transport sector has a direct effect on fossil energy sources, cost, and consumption. Indeed, it has affected the environmental situation reversely with high carbon dioxide emissions. Due to this negative impact, the transition to electric vehicle (EV) technology must be a mandatory target for governments worldwide. To achieve this objective, many countries have developed various policies to promote EV technology buying or retrofitting. Thanks to the adopted policies, the electric technology market share has been growing. Meanwhile, research studies are involved also in this project by studying the benefit of EV technology low total cost of ownership (TCO) to motivate consumers of its utilization. For that purpose, the present paper aims to review the discussed policies, and methods to boost the diffusion of electric technology as a sustainable and reliable solution to overcome the global energy situation despite the different obstacles, barriers, and the pandemic situation (COVID-19), which has affected the consumer economic and social behavior. © 2022 IEEE.

6.
2nd IEEE Mysore Sub Section International Conference, MysuruCon 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2192033

ABSTRACT

Greenhouse gases emissions and packaging waste of online shopping pollution in the delivery process getting critical in recent years, especially during the COVID-19 pandemic. To reduce the pollution impact of online shopping on the environment from the perspective of the user, this research was meant to be conducted. Survey methodology is suggested for data gathering in this research follow by stratified sampling to identify the targeted users. In this research paper, the implementation of an eco-friendly online shopping process is justified for discovering the value of the proposed system. The proposed system is to provide an eco-friendlier delivery option to the online shopping consumer and convey the knowledge to support the decision they make. The proposed system was looking forward to being implemented in all e-commerce platforms such as Amazon and Lazada to maximize the value outcome of it to the environment. © 2022 IEEE.

7.
IOP Conference Series Earth and Environmental Science ; 1122(1):012044, 2022.
Article in English | ProQuest Central | ID: covidwho-2188018

ABSTRACT

As a result of the global pandemic of Covid-19, there was a need to adjust to the sanitary tragedy that occurred during this time, which stimulated the construction of emergency support units to support the existing health system. In the study presented in this paper, the authors evaluate the potential environmental impacts of modular typologies through quantification and analysis of carbon emissions of a typical hospitalar module throughout its life cycle. A systematic Life Cycle Assessment analysis was carried out to quantify GHG emissions related to the construction of a module of the Evandro Chagas National Institute of Infectious Diseases in Brazil and understand the benefits of reuse and recycling processes by comparing a single-use scenario to a cradle-to-cradle approach. Another objective is to compare Polyisocyanurate (PIR), Expanded Polystyrene (EPS) and Rock wool when used as insulation, given that their thermal performance is similar but their density influences the impact rates. Overall, EPS panels present a better environmental performance while maintaining thermal comfort standards found in comparison to rock wool and PIR boards. Lastly, concrete for the slab was responsible for the highest emission rates of kg CO2eq/module year, followed by the rigid PIR foam and steel in the production and sanitary landfill disposal stages.

8.
Geophysical Research Letters ; 49(23), 2022.
Article in English | ProQuest Central | ID: covidwho-2185563

ABSTRACT

A unified framework that connects emissions with satellite‐observed column amounts is derived from first principles. The emission information originates from the inner product of the horizontal wind and the gradient of column amount, which is more accurate than the horizontal flux divergence as used in previous studies. Additionally, the topographical and chemical effects are accounted for through fitted scale height and chemical lifetime. This framework is applied to derive NOx and CO emissions over the CONUS from TROPOspheric Monitoring Instrument NO2 and CO observations. High‐resolution (0.04°) emission mapping over the CONUS reveals unprecedented details, including CO emissions in major cities and NOx emissions from large cities, power plants, and major roadways. Monthly resolved NOx emissions show decrease and rebound after the COVID‐19 pandemic. This framework is integrated with the physical oversampling algorithm and can be readily applied to other products from the new‐generation satellite instruments.Alternate :Plain Language SummarySatellites usually measure the vertically integrated column amount of atmospheric species from space. For short‐lived species like nitrogen oxides, the observed column amount indicates location and strength of emission sources. However, atmospheric dispersion smears the relationship between emission and column amount as the lifetime of species gets longer. This study directly maps emission based on the principle of mass balance. Namely, the spatial gradient of column amount should align with horizontal wind if there is an emission. Additionally, topography and chemical reaction may cause spatial gradients of column amount that are unrelated to emissions and are accounted for. Unprecedented details in the emission of air pollutants are unveiled by applying this approach to the TROPOspheric Monitoring Instrument products.

9.
Acs Earth and Space Chemistry ; 2022.
Article in English | Web of Science | ID: covidwho-2185507

ABSTRACT

The COVID-19 lockdown has opened a unique window for investigating aerosol formation and evolution with controlled anthropogenic emissions in urban areas. Here, variations of PM2.5 chemical compositions, gaseous pollutants, meteorological conditions, and secondary organic aerosol (SOA) molecular tracers were monitored during three stages at an urban site (Pudong) and a suburban site (Qingpu) in Shanghai, which were defined as pre-COVID lockdown (PL), during COVID lockdown (DL), and after COVID lockdown (AL) in 2020. Abundances of pollutants during the same periods back in 2019 were also analyzed for a more comprehensive intercomparison and evaluation of the impact of the 2020 COVID-19 lockdown on regional air quality. With the sudden cessation of anthropogenic activities during the lockdown, significant reductions in PM2.5 were observed compared to both PL in 2020 (32% in Pudong and 36% in Qingpu) and the DL period back in 2019 (31% in Pudong and 35% in Qingpu), which was accompanied by the significantly reduced PM2.5 components (29-44% and 14-44% reductions in sulfate, nitrate, ammonium, organic carbon, and elemental carbon for Pudong and Qingpu, respectively). In particular, with the reduced secondary inorganic aerosol (SIA), the time series of SOA molecular tracers also underwent significant reduction that was characteristic to the lockdown. Amid the uncontrolled biogenic emissions and even slightly enhanced atmospheric oxidation capacity during the 2020 DL period, controlling anthropogenic emissions exhibits synergistic effects on the reduction of SIA and SOA, which could be further attributed to the changes in the aerosol aqueous-phase environment, such as aerosol liquid water content (ALWC), ionic strength, sulfate content, and particulate NH4+. Based on thermodynamic modeling, greatly reduced ALWC was observed during 2020 DL, which can prevent the partitioning of oxygenated organics into the condensed phase as well as the aqueous-phase formation of SOA. Higher ionic strength in 2020 DL may have a "salting-out" effect on gas- particle partitioning of oxygenated organics. The reduced SOA during 2020 DL at both sites can generally be reflected by the predicted heterogeneous reaction kinetics (gamma) of the isoprene SOA formation pathway. Overall, our study showed a synergistic effect in suppressing SIA and SOA formation upon the reduction of anthropogenic emissions during the COVID-19 lockdown, which shed light on the importance of controlling anthropogenic emissions in regulating secondary aerosol formation in typical urban areas of East China.

10.
Appl Energy ; 302:117618, 2021.
Article in English | PubMed | ID: covidwho-2176339

ABSTRACT

Organization of Economic Cooperation and Development (OECD) economies are facing a substantial increase in the information and communication technology (ICT) investments in the context of rapid spread of the Coronavirus Disease-2019 (COVID-2019) pandemic and constraints of emissions reduction. However, the mechanism of the impact of ICT investments on carbon dioxide is still unclear. Therefore, by employing the decoupling-factor model and Generalized Divisia Index Method, we explore the decoupling states of ICT investments and emission intensity, and the driving factors of ICT investments' scale, intensity, structure, and efficiency effects on carbon emissions in 20 OECD economies between 2000 and 2018. The results indicate that the number of economies with an ideal state of strong decoupling rose to nine between 2009 and 2018 compared to no economies between 2000 and 2009. The emission intensity of ICT investments contributes to a significant increase of carbon emissions, and the structure and efficiency of ICT investments always restrain the growth of carbon emissions. Significant emissions changes caused by the driving factors are shown in many economies before and after the crisis, reflecting the differences in the strategic choices of ICT investments and the impact on emissions due to the crisis such as the COVID-2019 pandemic. And policy implications for energy and carbon dioxide mitigation strategies in the post-COVID-2019 era are also provided.

11.
Annals of Tourism Research Empirical Insights ; 3(2), 2022.
Article in English | CAB Abstracts | ID: covidwho-2176158

ABSTRACT

This study estimated the CO2 emissions produced by air travel that was consumed by inbound Olympics-related personnel (International Federation, media, Olympic family, and marketing partners) during the Tokyo 2020 Olympics. Results revealed that reduced attendance of Olympics-related personnel due to COVID travel restrictions saved 129,686.0 t CO2 emissions. This reduction equates to 38.1% of the travel emissions of overseas spectators. It is concluded that minimising event-related personnel reduces gross sports event emissions.

12.
Environ Model Assess (Dordr) ; : 1-35, 2022.
Article in English | Web of Science | ID: covidwho-2174553

ABSTRACT

This paper presents a new mathematical model of the green closed-loop supply chain network (GCLSCN) during the COVID-19 pandemic. The suggested model can explain the trade-offs between environmental (minimizing CO(2) emissions) and economic (minimizing total costs) aspects during the COVID-19 outbreak. Considering the guidelines for hygiene during the outbreak helps us design a new sustainable hygiene supply chain (SC). This model is sensitive to the cost structure. The cost includes two parts: the normal cost without considering the coronavirus pandemic and the cost with considering coronavirus. The economic novelty aspect of this paper is the hygiene costs. It includes disinfection and sanitizer costs, personal protective equipment (PPE) costs, COVID-19 tests, education, medicines, vaccines, and vaccination costs. This paper presents a multi-objective mixed-integer programming (MOMIP) problem for designing a GCLSCN during the pandemic. The optimization procedure uses the scalarization approach, namely the weighted sum method (WSM). The computational optimization process is conducted through Lingo software. Due to the recency of the COVID-19 pandemic, there are still many research gaps. Our contributions to this research are as follows: (i) designed a model of the green supply chain (GSC) and showed the better trade-offs between economic and environmental aspects during the COVID-19 pandemic and lockdowns, (ii) designed the hygiene supply chain, (iii) proposed the new indicators of economic aspects during the COVID-19 outbreak, and (iv) have found the positive (reducing CO(2) emissions) and negative (increase in costs) impacts of COVID-19 and lockdowns. Therefore, this study designed a new hygiene model to fill this gap for the COVID-19 condition disaster. The findings of the proposed network illustrate the SC has become greener during the COVID-19 pandemic. The total cost of the network was increased during the COVID-19 pandemic, but the lockdowns had direct positive effects on emissions and air quality.

13.
Advances in African Economic, Social and Political Development ; : 137-151, 2023.
Article in English | Scopus | ID: covidwho-2173700

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.

14.
Energy Science & Engineering ; 11(1):79-96, 2023.
Article in English | ProQuest Central | ID: covidwho-2172896

ABSTRACT

Global carbon dioxide emissions have become a great threat to economic sustainability and human health. The carbon market is recognized as the most promising mean to curb carbon emissions, furthermore, carbon price forecasting will promote the role of the carbon market in emissions reduction and achieve reduction targets at lower economic costs for emission entities. However, there are still some technical problems in carbon price prediction, such as mode mixing and larger reconstruction error for the traditional empirical mode decomposition-type models. Therefore, the innovation of this paper is constructing a novel carbon price prediction model of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN)-long short-term memory (LSTM), that combines the advantages of CEEMDAN in decomposing the multiscale time-frequency carbon price signals and the LSTM model in fitting the financial signals. The results show the proposed CEEMDAN-LSTM model has significant accuracy in predicting the complex carbon price signals. The prediction error and expectation indicators of root mean square error, mean absolute error, mean absolute percentage error, and direction accuracy are 0.638342, 0.448695, 0.015666, and 0.687631, respectively, which is better than other benchmark models. Further evidence convince that the short-term forecasting performance is superior to the long-term and medium-term performance. That evidence concludes that the proposed model is a reliable method to reveal the carbon price-driving mechanism from the point of multiscale time-frequency characteristics. Particularly, short-term forecasting is more accurate and can provide a valuable technical reference for reduction entities and green financial companies to judge the market situation and formulate quantitative transactions.

15.
13th International Conference on Language Resources and Evaluation Conference, LREC 2022 ; : 1991-1999, 2022.
Article in English | Scopus | ID: covidwho-2167873

ABSTRACT

Conversations (normal speech) or professional interactions (e.g., projected speech in the classroom) have been identified as situations with increased risk of exposure to SARS-CoV-2 due to the high production of droplets in the exhaled air. However, it is still unclear to what extent speech properties influence droplets emission during everyday life conversations. Here, we report the experimental protocol of three experiments aiming at measuring the velocity and the direction of the airflow, the number and size of droplets spread during speech interactions in French. We consider different phonetic conditions, potentially leading to a modulation of speech droplets production, such as voice intensity (normal vs. loud voice), articulation manner of phonemes (type of consonants and vowels) and prosody (i.e., the melody of the speech). Findings from these experiments will allow future simulation studies to predict the transport, dispersion and evaporation of droplets emitted under different speech conditions. © European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.

16.
Energies ; 16(1):277, 2023.
Article in English | ProQuest Central | ID: covidwho-2199927

ABSTRACT

The connection between Earth's global temperature and carbon dioxide (CO2) emissions is one of the highest challenges in climate change science since there is some controversy about the real impact of CO2 emissions on the increase of global temperature. This work contributes to the existing literature by analyzing the relationship between CO2 emissions and the Earth's global temperature for 61 years, providing a recent review of the emerging literature as well. Through a statistical approach based on maximum entropy, this study supports the results of other techniques that identify a positive impact of CO2 in the increase of the Earth's global temperature. Given the well-known difficulties in the measurement of global temperature and CO2 emissions with high precision, this statistical approach is particularly appealing around climate change science, as it allows the replication of the original time series with the subsequent construction of confidence intervals for the model parameters. To prevent future risks, besides the present urgent decrease of greenhouse gas emissions, it is necessary to stop using the planet and nature as if resources were infinite.

17.
International Journal of Transport Economics ; 49(2):173-205, 2022.
Article in English | Web of Science | ID: covidwho-2204710

ABSTRACT

The perception of sharing good and services is constantly changing around the world, especially in urban agglomerations. With any smartphone connected to the internet, at just few finger taps away, ridesharing has never been more facile for consumers. While it ensures the rapid development of the sharing economy, the collaborative consumption of transportation services raises new socio-economic and environmental challenges, making big cities the subject of the new sustainable mobility paradigm. In this context, the objective of this research was to analyze consumer preferences for shared mobility services in the case of a selection of big European cities and connect these findings with the potential of shared mobility services to shift consumption models towards a more sustainable future. Furthermore, consumer preferences were also analyzed in relation with the COVID-19 pandemic and its impact on the development potential of the sharing economy, with a focus on the transport sector. This paper was aimed at filling a literature gap by providing a comprehensive description of consumer preferences for shared mobility services with respect to the COVID-19 pandemic context. Moreover, population density and the degree of sustainable development were variables taken into consideration in this study, as well as factors specific to the consumers of shared mobility services: age, gender, nationality and other relevant characteristics of the consumer digital profile. Findings suggest divergent consumer behaviors according to the characteristics of each of the analyzed European big city: the transportation infrastructure, degree of urbanization and level of wellbeing.

18.
The International Journal of Climate Change: Impacts and Responses ; 15(1):103-124, 2022.
Article in English | ProQuest Central | ID: covidwho-2204663

ABSTRACT

COVID-19, a global pandemic that began in December 2019, has resulted in millions of deaths and socioeconomic collapses. Surprisingly, global carbon dioxide (CO2) emissions have shown a reduction since the pandemic lockdown. However, findings concerning the relationship between COVID-19 and CO2 emissions have been given limited attention in Africa's case. This study examined the effect of COVID-19 on CO2 emissions for the selected and most concerned five African countries and discussed lessons to be taken from the pandemic on environmental protection in the post-pandemic situation. The study employed both descriptive and econometric approaches using daily data from January 1, 2020, to December 31, 2020, to analyze the daily carbon emissions. The finding shows that CO2 emissions have been reduced in various sectors owing to the COVID-19 lockdown and other restrictions, which provided an opportunity to rethink measures to protect the environment in the long-term post-pandemic situation. The final part of the article argues that the observed lifestyle and changes in human and economic activities that impacted carbon emission reduction during COVID-19 are essential to drawing long-term environmental pollution mitigation strategies, particularly in the areas researched.

19.
Polish Journal of Environmental Studies ; 32(1):485-489, 2022.
Article in English | Scopus | ID: covidwho-2204060

ABSTRACT

The study focuses on the ambient air pollutants levels before and during the COVID-19 pandemic in two major industrial estates. The data was collected from different Environmental Protection Agency (EPA) certified laboratories. The results revealed that before the COVID-19 pandemic or lockdown the levels of ambient air pollutants were above the Punjab Environment Quality Standards (PEQs) limit, during lockdown conditions these were within PEQs limits. The change was gradual due to a decline in emissions coming from different sources like vehicles and industries during the period of COVID-19 and limited human movement within the study area. The Sunder Industrial Estate (SIE) was less polluted as compared to Quaid e Azam Industrial Estate (QIE), but in the case of different pollutants, some pollutants in SIE were high compared with QIE. It was observed that the ambient air pollutants meditations will reduce regularly and keep declining to the least limit during the COVID-19 induced lockdowns. In crux, the quality of ambient air in the study area improved notably during the lockdown registering reduced concentrations of NOx, SO2, SPM, CO, and PM emissions, resulting in health benefits for the population. © 2022, HARD Publishing Company. All rights reserved.

20.
Montenegrin Journal of Economics ; 19(1):31-41, 2023.
Article in English | ProQuest Central | ID: covidwho-2203875

ABSTRACT

The complicated developments of the Covid-19 pandemic have made enterprises' investment and business cooperation activities in general, and foreign direct investment (FDI) enterprises face many challenges and risks in particular. In Vietnam, foreign direct investment plays a vital role in socio-economic development. Realized FDI capital increased on average annually and accounted for over 25% of the total recognized investment capital of the whole society;the average GDP share of the foreign-invested sector accounts for more than 20% annually in the total GDP of the whole economy;attracting nearly 5 million workers. However, Vietnam has faced environmental and social consequences of developing the brown economy. Countries have gradually transitioned to a green economy - an economy that cares about happiness, social justice, and the environment in addition to other benefits and economic goals. Vietnam is no exception to this trend. Thus, the article's purpose is to analyze the key factors affecting the attraction of foreign direct investment (FDI) for the green economy of Vietnam and recommendations for green economic development in Vietnam. Besides, the authors applied quantitative methods processed by SPSS 20.0 and Amos software based on surveying 700 foreign investors with descriptive statistical tools, measuring scales with Cronbach's Alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM). The article's findings have three key factors affecting the attraction of foreign direct investment (FDI) for the green economy of Vietnam, with a significance of 1.0 percent. Three factors include investment policy (IP), Investment environment (IE), and quality of human resources (QHR). Finally, the study's value is to help policymakers and leaders of provinces and cities improve capital attraction efficiency and contribute to green economic growth in climate change and international integration.

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