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Cui Y, Zhong C, Cao J, Guo M, Zhang M. Spatial effect of carbon neutrality target on high-quality economic development-Channel analysis based on total factor productivity. PLoS One 2024; 19:e0295426. [PMID: 38266003 PMCID: PMC10807784 DOI: 10.1371/journal.pone.0295426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 11/20/2023] [Indexed: 01/26/2024] Open
Abstract
This study utilizes panel data from 30 provinces in mainland China from 2011 to 2020 to investigate the impact of carbon-neutral development on economic high-quality development by constructing an economic high-quality development index and a carbon-neutral development index. Firstly, the study examines the effects of carbon-neutral development on economic high-quality development using baseline regression and spatial Durbin regression. The results indicate that carbon-neutral development has a positive direct effect on economic high-quality growth, but there are negative spatial spillover effects. Secondly, this study employs total factor productivity (TFP) as an intermediate variable in the mediation model regression. The findings demonstrate that carbon-neutral development significantly improves TFP, and the significant improvement in TFP promotes high-quality economic growth. Lastly, the study conducts regional heterogeneity analysis and finds a significant promoting effect of carbon-neutral development on economic high-quality development in the eastern and central regions of China, while it is not significant in the western region. Therefore, it is recommended that China, in the process of achieving carbon-neutral growth, consider the geographical connections between different regions to prevent negative spillover effects. Additionally, regional heterogeneity should be taken into account when formulating relevant policies to promote economic high-quality development.
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Affiliation(s)
- Yiniu Cui
- School of Economics, Yunnan University, Kunming, China
| | - Cheng Zhong
- School of Business, Pingxiang University, Pingxiang, China
| | - Jianhong Cao
- Yuquan Institute, University of Chinese Academy of Sciences, Beijing, China
| | - Mengyao Guo
- School of Economics, Yunnan University, Kunming, China
| | - Meng Zhang
- School of Business, Guangxi University, Nanning, Guangxi, China
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Saleh WM, Ahmad MI, Yahya EB, H P S AK. Nanostructured Bioaerogels as a Potential Solution for Particulate Matter Pollution. Gels 2023; 9:575. [PMID: 37504454 PMCID: PMC10379271 DOI: 10.3390/gels9070575] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 06/08/2023] [Accepted: 06/15/2023] [Indexed: 07/29/2023] Open
Abstract
Particulate matter (PM) pollution is a significant environmental and public health issue globally. Exposure to high levels of PM, especially fine particles, can have severe health consequences. These particles can come from a variety of sources, including natural events like dust storms and wildfires, as well as human activities such as industrial processes and transportation. Although an extensive development in air filtration techniques has been made in the past few years, fine particulate matter still poses a serios and dangerous threat to human health and to our environment. Conventional air filters are fabricated from non-biodegradable and non-ecofriendly materials which can cause further environmental pollution as a result of their excessive use. Nanostructured biopolymer aerogels have shown great promise in the field of particulate matter removal. Their unique properties, renewable nature, and potential for customization make them attractive materials for air pollution control. In the present review, we discuss the meaning, properties, and advantages of nanostructured aerogels and their potential in particulate matter removal. Particulate matter pollution, types and sources of particulate matter, health effect, environmental effect, and the challenges facing scientists in particulate matter removal are also discussed in the present review. Finally, we present the most recent advances in using nanostructured bioaerogels in the removal of different types of particulate matter and discuss the challenges that we face in these applications.
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Affiliation(s)
- Wafa Mustafa Saleh
- Environmental Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
| | - Mardiana Idayu Ahmad
- Environmental Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
- Renewable Biomass Transformation Cluster, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
| | - Esam Bashir Yahya
- Bioprocess Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
- Green Biopolymer, Coatings and Packaging Cluster, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
| | - Abdul Khalil H P S
- Green Biopolymer, Coatings and Packaging Cluster, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
- Bioresource Technology Division, School of Industrial Technology, Universiti Sains Malaysia, Penang 11800, Malaysia
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Rodríguez-Benavides D, Andrés-Rosales R, del Río-Rama MDLC, Irfan M. Modeling oil price uncertainty effects on economic growth in Mexico: a sector-level analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:73987-74002. [PMID: 35633455 PMCID: PMC9143715 DOI: 10.1007/s11356-022-20711-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/04/2022] [Indexed: 06/15/2023]
Abstract
This paper analyzes the impact of international oil price uncertainty on the different economic sectors (primary, secondary, and tertiary) in Mexico in the period 1993:1-2020:4 through a bivariate structural vector autoregressive (VAR) model with a generalized autoregressive conditional heteroskedasticity (GARCH) in mean to capture the impact of oil volatility on economic growth at the sectoral level of economic activity. The results show that the uncertainty of the international price of oil has a differentiated effect on the different sectors of economic activity in Mexico since it does not influence the primary sector; it negatively impacts the secondary sector, and there is mixed evidence in the tertiary sector. Additionally, evidence is provided that both positive and negative shocks to the international oil price have asymmetric effects at the sectoral level in Mexico. The results highlight the need to implement public policies, at the country level, that help mitigate the effect of uncertainty in the oil market and promote economic stability at the sector level.
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Affiliation(s)
- Domingo Rodríguez-Benavides
- Department of Applied Econometrics, Metropolitan Autonomous University, 02200 Mexico City, State of Mexico Mexico
| | - Roldán Andrés-Rosales
- Department of Social Sciences, Faculty of Higher Studies Cuautitlan-UNAM, 54714 Mexico, State of Mexico Mexico
| | | | - Muhammad Irfan
- School of Management and Economics, Beijing Institute of Technology, Beijing, 100081 China
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, 100081 China
- Department of Business Administration, ILMA University, Karachi, 75190 Pakistan
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Wang T, Gao K, Wen C, Xiao Y, Bingzheng Y. Assessing the nexus between fiscal policy, COVID-19, and economic growth. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:65289-65303. [PMID: 35484459 PMCID: PMC9050179 DOI: 10.1007/s11356-022-20358-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 04/15/2022] [Indexed: 06/14/2023]
Abstract
The COVID-19 issue deteriorated South Africa's already dire economic situation, exacerbated by years of considerable debt increase. The COVID-19 pandemic has disrupted trade to such an extent that some enterprises are barely working at a quarter of their potential. Furthermore, economic agents delay economic decisions while waiting to see how the crisis develops. According to some economists, increased government expenditure will raise GDP enough to keep the country's debt-to-GDP ratio steady and restore fiscal sustainability. We use a panel data model to estimate a fiscal reaction function, which we then apply to historical data to assess the government's prior efforts to maintain or restore budgetary sustainability. We calculate the impact fiscal balance, government expenditure, interest rate, and revenue changes that the government will have to make to restore the country's fiscal stability due to the financial impact of the COVID-19 issue.The findings show that fiscal balance and tax revinue have a significant impact on the economics growth, while government expenditure and corruption reduce the growth of the country.
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Affiliation(s)
- Tao Wang
- School of Finance and Taxation, Capital University of Economics and Business, Beijing, 100081 China
| | - Ke Gao
- School of Economics, Peking University, Beijing, Beijing, 100871 China
- Development Research Center of Shandong Provincial People’s Government, Jinan, Shandong 250011 China
| | - Chen Wen
- School of Finance, Renmin University of China, Beijing, Beijing, 100872 China
| | - Yuanzhi Xiao
- Department of Economics, Texas A&M University, College Station, TX 77843 USA
| | - Yan Bingzheng
- College of Professional Study, NortheasternUniversity, Boston, Boston, MA 02115 USA
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Yan R, Cao F. Improving Public Health and Governance in COVID-19 Response: A Strategic Public Procurement Perspective. Front Public Health 2022; 10:897731. [PMID: 35707059 PMCID: PMC9189301 DOI: 10.3389/fpubh.2022.897731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 04/19/2022] [Indexed: 12/04/2022] Open
Abstract
Good governance is the basis of dealing with major emergencies and protecting public health. It has become a major issue of the central government to construct a scientific procurement and supply system of emergency supplies. This article constructs the analytical framework of strategic procurement and expounds the realization mechanism of strategic procurement under an emergency situation to reflect China's procurement practice in COVID-19 response and improve public health and governance. Using case study, semi-structured interviews, and the Nvivo text analysis, this study found that emphasizing the strategic function of securing the public health,the top status of MSG, cross-sector procurement team, strong procurement and supply integration, comprehensive and in-depth procurement synergy mechanism are the successful experiences of China's emergency procurement. However, due to the temporary nature of the emergency procurement mechanism, strategic procurement planning, procurement management specialization, and procurement supply integration still need to be improved. The findings of this study further suggest that to improve public health and governance, it is pivotal to reconstruct the government procurement law to make it compatible with the emergency procurement and transform the government procurement system into a strategic procurement in a consistent and coherent way.
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Affiliation(s)
- Ran Yan
- School of Public Finance and Taxation, Central University of Finance and Economics, Beijing, China
- Fanli Business School, Nanyang Institute of Technology, Nanyang, China
| | - Fuguo Cao
- School of Public Finance and Taxation, Central University of Finance and Economics, Beijing, China
- *Correspondence: Fuguo Cao
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Purchase Intention and Satisfaction of Online Shop Users in Developing Countries during the COVID-19 Pandemic. SUSTAINABILITY 2022. [DOI: 10.3390/su14106302] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
The aim of the research is to gain an understanding of consumer behavior in developing countries in the electronic environment. For this purpose, the four constructs of the PREVEINCOSA scale were analyzed: purchase intention as the dependent variable and trust, perceived value, and satisfaction as the determining variables of the former. For this purpose, by means of convenience sampling, an online questionnaire was shared with citizens in Mexico, Peru, and Colombia. A total of 330 questionnaires were collected from people who knew or had bought clothes in an online shop of the small company. Structural equation modeling (SEM) was used to validate the model and test the hypotheses. The results indicate that trust and satisfaction directly and positively influence value perception and online purchase intention and that value perception directly and positively influences online purchase intention of the small business consumer in Mexico, Peru, and Colombia. These results may be useful for the small fashion business sector in developing countries since it is observed that the online sales channel is not yet developed, which makes it necessary to develop strategies to reach customers in a more effective way. On the other hand, given the importance of this sector for the economy of developing countries, this study can be useful to governments who can establish public policies to provide training and technical assistance to benefit the development and competitiveness of this sector.
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