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Khan H, Weili L, Khan I. Examining the effect of information and communication technology, innovations, and renewable energy consumption on CO 2 emission: evidence from BRICS countries. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:47696-47712. [PMID: 35184242 DOI: 10.1007/s11356-022-19283-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/14/2022] [Indexed: 06/14/2023]
Abstract
The increasing use of information and communication technology (ICT) in this digital era and its interlinkage with other economic and environmental factors have gotten considerable attention from researchers. ICT tools are considered very important in economic activities such as international trade, the financial sector, and foreign direct investment. ICT is also interlinked with innovation and energy consumption. However, ICT with these activities influences ecological footprint, especially in emerging economies such as BRICS (Brazil, Russia, India, China, and South Africa) countries. Therefore, this topic has got considerable attention from researchers and policy makers on the impact of ICT and economic growth activities on environmental quality. Consequently, this study investigates the impact of information and communication technology, renewable energy consumption and innovation on carbon dioxide emission in BRICS countries from 1990 to 2019 using cointegration, generalized least square, and panel corrected standard errors models. The findings show that two ICT indicators, mobile cellular subscription and fixed broadband subscription, negatively affect carbon emission along with economic growth and financial development. Innovation and renewable energy consumption also significantly reduce emission in presence of ICT indicators, while trade openness and fixed telephone subscriptions increase it. In the case of the ICT index model, all variables are positively associated with carbon emission except renewable energy consumption, however, the square and interaction term of all indicators significantly reduce carbon emission and evidence the environmental Kuznets curve hypothesis except trade openness. ICT growth should be considered in the energy sector, innovation, and financial development to enhance environmental quality. The findings of the study have considerable policy implications for the sample countries.
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Affiliation(s)
- Hayat Khan
- China Center for Special Economic Zone Research, Shenzhen University, Shenzhen, China.
| | - Liu Weili
- China Center for Special Economic Zone Research, Shenzhen University, Shenzhen, China
| | - Itbar Khan
- Business School of Xiangtan University, Hunan, China
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Khan H, Khan I, BiBi R. The role of innovations and renewable energy consumption in reducing environmental degradation in OECD countries: an investigation for Innovation Claudia Curve. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:43800-43813. [PMID: 35119641 DOI: 10.1007/s11356-022-18912-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 01/24/2022] [Indexed: 06/14/2023]
Abstract
Rising economic growth in recent ages is the primary concern of most of the countries to enhance the living standard, but the ever-increasing production of economic activities consumes a lot of energy, which leads to a sharp increase in carbon dioxide emissions. Innovation may be a remedy that can help improve energy efficiency, obtain renewable energy, and promote economic growth, thereby protecting the quality of the environment. Therefore, this paper examines the role of innovation and renewable energy consumption in CO2 reduction in OECD countries from 2004 to 2019. By using the two-step system generalized of moment estimator, the results show that economic growth and innovation significantly increase carbon emissions, however the innovation Claudia Curve (ICC) is verified, and the environmental Kuznets curve does not exist. Foreign direct investment has a negative impact on carbon emissions, thus verifying the Pollution Hao hypothesis, whereas renewable energy also improves environmental quality, but the interaction between innovation and renewable energy consumption still increases carbon emissions. Financial development, industrialization, trade, and energy consumption have also been found to be harmful factors of environmental quality. Our findings have considerable policy implications for OECD countries on the improvement of innovation indicators and investment in renewable energy sources to rise environmental quality.
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Affiliation(s)
- Hayat Khan
- China Center for Special Economic Zone Research, Shenzhen University, Shenzhen, China
| | - Itbar Khan
- Business School of Xiangtan University, Hunan, China.
| | - Robeena BiBi
- School of Public Administration, Hohai University, Nanjing, China
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Wang J, Wang W, Ran Q, Irfan M, Ren S, Yang X, Wu H, Ahmad M. Analysis of the mechanism of the impact of internet development on green economic growth: evidence from 269 prefecture cities in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:9990-10004. [PMID: 34510353 DOI: 10.1007/s11356-021-16381-1] [Citation(s) in RCA: 57] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Accepted: 09/02/2021] [Indexed: 05/22/2023]
Abstract
As the digital economy develops rapidly and the network information technology advances, new development models represented by the network economy have emerged, which have a crucial impact on green economic growth. However, the relevant previous studies lacked the role of analyzing the direct and indirect effects of internet development on green economic growth at the prefecture-level city level. For this purpose, this paper aims to examine the intrinsic mechanism of the impact of internet development on green economic growth and provide empirical support for cities and regions in China to increase internet construction. Furthermore, the mixed model (EBM), which includes both radial and non-radial distance functions, is applied to calculate the green economic growth index. Fixed effect model and mediation effect model are also employed to test influence mechanisms of the internet development on green economic growth using panel data of 269 prefecture-level cities in China from 2004 to 2019. The statistical results reveal that internet development has contributed significantly to green economic growth. When the internet development level increases by 1 unit, the green economic growth level increases by an average of 5.0372 units. However, regional heterogeneity is evident between internet development and green economic growth, that is, the promoting effect of internet development on green economic growth is gradually enhanced from the eastern region to the western region. We also find that internet development guides industrial structure upgrading improves environmental quality and accelerates enterprise innovation, which indirectly contributes to green economic growth. And internet development mainly achieves green economic growth through enterprise innovation. Based on the above findings, we concluded that policymakers should not only strengthen the guiding role of social actors to promote the stable development of the internet industry, but also foster the construction of the three models of "internet+industry integration," "internet+environmental governance," and "internet+enterprise innovation" to promote green economic growth.
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Affiliation(s)
- Jianlong Wang
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China
- Center for Innovation Management Research of Xinjiang, Urumqi, 830047, China
| | - Weilong Wang
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China
- Center for Innovation Management Research of Xinjiang, Urumqi, 830047, China
| | - Qiying Ran
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China
- Center for Innovation Management Research of Xinjiang, Urumqi, 830047, China
| | - 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
| | - Siyu Ren
- School of Economics, Nankai University, Tianjin, 300071, China
| | - Xiaodong Yang
- School of Economics and Management, Xinjiang University, Urumqi, 830047, China.
- Center for Innovation Management Research of Xinjiang, Urumqi, 830047, China.
| | - Haitao Wu
- 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.
| | - Munir Ahmad
- School of Economics, Zhejiang University, Hangzhou, 310058, China
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