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Wang W, Sun W, Awan U, A. Nassani A, H. Binsaeed R, Zaman K. Green investing in China's air cargo industry: Opportunities and challenges for sustainable transportation. Heliyon 2023; 9:e19013. [PMID: 37600428 PMCID: PMC10432702 DOI: 10.1016/j.heliyon.2023.e19013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 07/10/2023] [Accepted: 08/05/2023] [Indexed: 08/22/2023] Open
Abstract
Aviation cargo remains vital in the economic activities to transported goods from one place to another. The developed and developing countries mainly consider the transaction routes for air transportation for safe and quickest mode. Chinese economy is attracting the global World through its exports. The country's air cargo system is mainly reliant on gasoline and petroleum-based fuels, which harms the country's green transportation agenda. The high use of fuel combustions in the aviation sector needed greenfield investment that helps to use green energy as an alternative sustainable fuel. Further, sustainable aviation insurance and financial coverage are needed to mitigate the adverse negative externalities from air cargo operations. Based on the crucial facts, the study used air cargo operations, transportation fuel combustions, private investment in the transportation and insurance coverage in the pollution damage function for the China economy using data from 1975 to 2020. The research employed a non-linear ARDL Bounds testing strategy to break down the sequence of variables into dynamic positive and negative multipliers. Positive shocks in air freight, insurance services, and greenfield investment have been shown to reduce carbon emissions immediately and over the long term. In the short term, carbon damages are exacerbated by the negative shocks resulting from the use of transportation fuel and the availability of insurance. Moreover, both the positive and negative shocks associated with transportation fuel combustions and air transportation freights contribute to a rise in carbon damage. The variance decomposition analysis validated the asymmetric correlations between the aforementioned variables in the intertemporal environment. Based on the findings, negative shocks from total fuel combustions are expected to impose the greatest carbon damages over the next decade, followed by insurance services and air freight operations. The study concludes that air cargo operations need to be sustainable transacting routes fueled by biofuel energy sources, greenfield investment, and sustainable aviation insurance coverage to achieve the 'green is clean' transportation agenda.
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Affiliation(s)
- Weisong Wang
- School of Marxism, Xinjiang Normal University, WuLuMuQi 830017, China
- School of Marxism, Guangxi Science and Technology Normal University, LaiBin 546199, China
| | - Wenjing Sun
- School of Marxism, Guangxi Science and Technology Normal University, LaiBin 546199, China
| | - Usama Awan
- Center for Research on Digitalization and Sustainability, Inland Norway University of Applied Sciences, Norway
| | - Abdelmohsen A. Nassani
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia
| | - Rima H. Binsaeed
- Department of Management, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia
| | - Khalid Zaman
- Department of Economics, The University of Haripur, Haripur Khyber Pakhtunkhwa 22620, Pakistan
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Wang R, Wu F, He Z. Tourism Development under Water-Energy Dual Constraints: A Case Study from Xinjiang Based on Different Emergency Scenarios. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2224. [PMID: 36767590 PMCID: PMC9916004 DOI: 10.3390/ijerph20032224] [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: 12/28/2022] [Revised: 01/17/2023] [Accepted: 01/20/2023] [Indexed: 06/18/2023]
Abstract
The concept of green development requires that tourism development should be constrained by water and energy. This paper first constructed the calculation model of tourism water supply (TWS) based on water resources, economy, population, and employment. Second, according to the tourism life cycle theory, the energy-related water footprint account was built and combined with energy and water consumption, to realize water-energy dual constraints. Then, a suitability model between TWS and tourism water footprint (TWF) was established. Last, this paper predicted the growth rate of tourists in Xinjiang under the "suitability" state between TWS and TWF. Results show that in a future emergency-free setting, the average annual growth rate of tourists must be below 9.63% to maintain the "suitability" state, and in the context of emergencies damaging public health or socio-economic stability, the average annual growth rate may rise to 12.79%. In any scenario, the cap on tourist numbers in Xinjiang should be around 1.326 billion person-days in 2025, in line with the government's planning goal. Last, this paper proposed suggestions to advance the green development of tourism from three angles: strengthening water conservation policies, promoting digital tourism, and setting multiple environmental monitoring mechanisms.
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Affiliation(s)
- Ruifang Wang
- Business School, Hohai University, Nanjing 211100, China
| | - Fengping Wu
- Business School, Hohai University, Nanjing 211100, China
| | - Zhaoli He
- School of Business Administration, Nanjing University of Finance and Economics, Nanjing 210046, China
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The conservation and tourism development of World Natural Heritage sites: The current situation and future prospects of research. J Nat Conserv 2023. [DOI: 10.1016/j.jnc.2023.126347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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Zhou Z, Mehmood S, Khan AA, Ahmad Z, Khan S. Revival of sun-and-beach tourism through the lens of regulatory and risk dimensions of environmental sustainability. Heliyon 2022; 8:e10893. [PMID: 36247157 PMCID: PMC9562339 DOI: 10.1016/j.heliyon.2022.e10893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 05/17/2022] [Accepted: 09/28/2022] [Indexed: 11/06/2022] Open
Abstract
Environmental sustainability is essential in tourism literature, and sun-and-beach tourism (SBT) is one of the most popular subsections of the tourism field. The appropriate policies and strategies during the COVID-19 pandemic to revive SBT growth through the lens of the regulatory dimension (RED) and risk dimension (RID) of environmental sustainability are gaining timely ground to conduct this research. The current study examined the nexus between SBT, RED, and RID utilizing three novel indexes (i.e., weighted sun-and-beach tourism index, weighted regulatory dimension index, and weighted risk dimension index) by employing the principal component analysis within the framework of six stages of empirical estimation strategy. These three novel indexes combine the most commonly used SBT, RED, and RID indicators. This research tested the CSD and homogeneous, then employed the second generation CIPS-CADF panel unit root test, used an AMG estimator, and employed the panel Toda-Yamamoto (PTY) causality test. The findings revealed that the RED positively influences SBT while the RID mitigates SBT. Results also indicate bidirectional causality between SBT, RID, and RED. In other words, changes in RID and RED have predictive power for the SBT, which further highlights the role of SBT on the RID and RED. Therefore, concerned authorities can focus on environmental sustainability design initiatives and appropriate policy/strategy implications to boost SBT.
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Affiliation(s)
- Zhimin Zhou
- College of Management, Shenzhen University, Shenzhen, Guangdong, PR China
| | - Shafaqat Mehmood
- College of Management, Shenzhen University, Shenzhen, Guangdong, PR China,Corresponding author.
| | - Ather Azim Khan
- Faculty of Management and Administrative Sciences, University of Sialkot, Pakistan
| | - Zahid Ahmad
- Faculty of Management Studies, University of Central Punjab, Pakistan
| | - Salman Khan
- College of Management, Shenzhen University, Shenzhen, Guangdong, PR China
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Sun Y, Yang B, Wang Y, Zheng Z, Wang J, Yue Y, Mu W. Carbon footprint analysis of straw collection, transportation, and storage system for power generation in China based on emergy evaluation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:66922-66934. [PMID: 35508857 DOI: 10.1007/s11356-022-20525-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/25/2022] [Indexed: 06/14/2023]
Abstract
Carbon footprint analysis method was employed to evaluate the ecological benefits of the straw collection, transportation, and storage system based on the case of Laifa Straw Recycling Company, and the emergy-based carbon emission indicator system was also set up to assess the relationship between input resource and carbon emission. In the condition of collecting 2 × 108 kg of straw production, the carbon emission of the artificial model (7.26 × 103 t CO2eq) and mechanical model (6.11 × 103 t CO2eq) was greatly lower than that of the straw burned in the field (2.78 × 105 t CO2eq). According to the emergy-based carbon emission indicator system, the carbon emission of straw recycling system was mainly triggered from labor input, which could be reduced by adjusting the resource structure. The ratio of carbon emission to environmental loading rate (ELRCO2) and ratio of carbon emission to emergy sustainability index (ESICO2) of the artificial model were 90.75E+6 kgCO2eq and 1.52E+6 kgCO2eq, respectively, which were higher than that of the mechanical model, 55.55E+6 kgCO2eq and 1.22E+6 kgCO2eq. It was obviously that the mechanical model had weaker influence on environmental loading than that of the artificial model and presented promising sustainable development ability in the case of mitigating carbon emissions.
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Affiliation(s)
- Yufeng Sun
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Bin Yang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yapeng Wang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Zipeng Zheng
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Jinwei Wang
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Yaping Yue
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
| | - Wenlong Mu
- College of Mechanical and Electrical Engineering, Henan Agricultural University, Zhengzhou, 450002, China
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