The impacts of energy resource and tourism on green growth: Evidence from Asian economies

Shang, Yunfeng; Liu, Yi; Chen, Hui; Qian, Fangbin

doi:10.1016/j.resourpol.2023.103359

Cited by 125 publications

(29 citation statements)

References 39 publications

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“…Bai et al ( 2022 ) analyzed the green economic recovery in China and concluded that due to the high fossil fuels consumption degree of this country, the Chinese government should try to fully support the process of green economic recovery in the post-COVID era. Especially during the epidemic period of the previous 2 years, COVID-19 has brought huge obstacles to green economy recovery and tourism (Shang et al 2022a ), and the long-term impact of tourism on green economy growth is positive, especially in high-income countries in Asia (Shang et al 2023 ). In other study, Lin and Zhou ( 2022 ) studied the influencing factors to enhance green economic growth in China.…”

Section: Literature Reviewmentioning

confidence: 99%

Role of the e-exhibition industry in the green growth of businesses and recovery

Shang¹,

Yu³

et al. 2023

Econ Change Restruct

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In this paper, a survey and two multi-attribute decision-making (MADM) models have been employed to explore critical success factors of e-exhibition in 30 Chinese provinces that is divided into 8 different regions. The research findings showed that in China, the most important success factors of e-exhibition to have green economic recovery are the presence of International collaboration (0.592), green culture (0.490), and visitor’s attitude (0.439). Furthermore, “Beijing and Tianjin” is the most ideal region to promote e-exhibition in China. South Coast region ranked in second place as the most appropriate region for e-exhibition. The least ideal region of China for e-exhibition is the Southwest region that is less developed compared to other regions of China. The major practical policies are the enhancement of international cooperation to hold an e-exhibition, use of electronic exhibition capacities (synchronous and asynchronous) and creating social sustainability awareness through the media and social network.

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Section: Literature Reviewmentioning

confidence: 99%

Role of the e-exhibition industry in the green growth of businesses and recovery

Shang¹,

Yu³

et al. 2023

Econ Change Restruct

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“…They concluded that tourism revenue and GDP (gross domestic product) positively impact the sustainable tourism growth of the country. Shang et al ( 2023 ) evaluated the relationship between tourism and green growth recovery. The results revealed that tourism could not be considered a significant driver for green economic growth in low-income Asian countries.…”

Section: Literature Reviewmentioning

confidence: 99%

An economic analysis of sustainable tourism development in China

Chen¹,

Zhang

Chen

2023

Econ Change Restruct

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The threat of climate change and the advancement of sustainable development goals to control this threat have been among the countries priorities. The tourism sector can be essential in promoting sustainable development goals by implementing sustainable processes. The primary purpose of this research is to focus on 23 provinces of China to analyze the sustainable tourism modeling according to the annual data for 2010–2021. The findings confirm that for all Chinese provinces, the increase in the general level of prices has a significant and long-term adverse effect on the sustainable development of the tourism industry in the provinces of China. In contrast, the effect of this variable is not significant in the short term. Moreover, the impact of foreign direct investment on the sustainable development of the tourism industry in the short term and the long term is positive in high-income provinces and negative in low-income provinces. The recommended practical policies promote a green financing market and green FDI development.

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“…Constraints ( 2)-( 4) represent the balance of active, heat, and gas power in EH, respectively [5,6]. Based on these relationships, the EH includes wind farm [64], CHP, EES, TES, and DRP. The CHP operating model is presented in constraints ( 5)-( 8) [3].…”

Section: Upper-level Problemmentioning

confidence: 99%

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Farsani

Joorabian

Mortazavi

2023

IET Renewable Power Gen

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The market clearing pricing (MCP) model is used to operate electricity, gas, and heating networks (EGHNs) with flexible energy hubs (EHs) in the day‐ahead energy market. It's two‐level optimization. Its higher level refers to EHs' participation in the market and their profit maximization bound by the operational model of power sources, storage devices, and responsive loads in the form of EHs and their flexibility limit. In the lower‐level problem, the MCP model calculates energy price and evaluates EH performance's effects on the networks' technical and economic indices. It optimizes power flow in the networks to reduce centralized generator operating costs. This approach is linear approximation. Unscented transformation (UT) model load and renewable power uncertainties. This technique contains the fewest situations, reducing issue volume and computing time. Benders decomposition (BD) technique calculates energy prices, EHs, and networks. Finally, the numerical results show that the proposed scheme can extract the optimal economic and flexibility states of EHs. EHs' optimal performance enhanced energy networks' economic and operating status compared to power flow studies and promoted societal welfare by lowering energy prices.

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The impacts of energy resource and tourism on green growth: Evidence from Asian economies

Cited by 125 publications

References 39 publications

Role of the e-exhibition industry in the green growth of businesses and recovery

Role of the e-exhibition industry in the green growth of businesses and recovery

An economic analysis of sustainable tourism development in China

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

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