No abstract

No abstract

The development of tourist destinations has been determined by sustainable energy management and the advancement of traditional methods. The rate of development must adapt to technological innovations while also considering future generations. The present study aims to determine to what extent tourism personnel are aware of the skills, knowledge, and methods for sustainable energy management, and also to analyze the Internet of Things as a technological solution for sustainable energy management at tourism destinations in India with the help of the Servqual method. It is important to implement modern technologies such as internal things and develop a sustainable attitude toward tourism. Findings suggested that over each attribute of Servqual model, reliability, assurance, tangibles, empathy and responsiveness of IoT as sustainable energy management solutions at tourism destinations in India, tourism stakeholders have higher level of expectations (23.41, 19.86, 18.45, 23.60 and 24.73) and perceptions (18.34, 16.50, 14.97, 18.17 and 19.20) followed by tourists expectations (22.10, 17.36, 16.01, 22.62 and 21.87) and perceptions (19.32, 11.75, 09.46, 15.06 and 17.43) and local residents expectations (20.17, 14.61, 14.87, 19.46 and 18.81) and perceptions (13.48, 08.85, 07.73, 13.54 and 12.94), respectively. Results also showed that older generations and traditional tourism destinations are unable to cope with the modern advanced terminology, tools, and management strategies, which makes the present study the most significant about changing the traditional way of energy management and developing tourism destinations as sustainable and responsible.

This paper investigates the effect of the supply chain disruption, greener energy consumption, and economic growth on carbon emissions in advanced economies and emerging markets from 1997 to 2021 using panel quantile autoregressive distributed lags (QARDL) and the panel quantile regression (QR). The results of the two models confirm, on the one hand, the validity of the environmental Kuznets curve (EKC) hypothesis and, on the other hand, the role of renewable energy consumption in mitigating carbon emissions in advanced and developing economies. Furthermore, the finding shows that the supply chain disruption for the long run is positive at all quantiles, indicating the evidence of association at the extreme low and high quantiles than at the intermediate quantile. In addition, the effect of the supply chain decreases at the lower quantile. It turns negative at the upper 90th quantile in the short run, indicating that the supply chain disruption reduces the environmental degradation under the bearish market conditions. In the future, the increasing supply chain disruptions due to the Russia-Ukraine conflict and further COVID-19 worldwide can consider sluggish economic growth and play an essential role in promoting renewable energy abundance and reducing CO 2 emissions. Practical implications are reported in the lens of carbon neutrality and structural changes.

Purpose This paper aims to investigate the specific tea tourism (TT) determinants. This paper uses the Porter’s Diamond model to critically examine how India and Sri Lanka gained a competitive advantage in the international market. Design/methodology/approach A cross-country study was conducted in which TT destinations in both India and Sri Lanka were considered for study. TT stakeholder perspectives were assessed through the Porter Diamond model, whereas data collection was based on a structured questionnaire that adopted the conceptual model (refer to the questionnaire as annex 1). Findings This study revealed that each determinant of Porter’s Diamond model (i.e. Factor Conditions – FC, Demand Conditions – DC, Related and Supporting Industry – RSI, Firm Strategy, Structure and Rivalry – SSR, Government – GO and Situational Force – SF) is playing a significant role in TT and India has an edge on Sri Lanka as a TT destination over each determinant of Porter Diamond model. Research limitations/implications This study restricts its scope to the present TT stakeholders of India and Sri Lanka, comprising 6 latent variables and 31 indicators, offering opportunities for future research to tourists and local residents in TT using the same model variables, and indicators. Practical implications This study highlights the emerging TT destinations in India and Sri Lanka by sensitizing the competitiveness and comparativeness using Porter’s Diamond model through the partial least squares structural equation modeling. Originality/value This study reflects a unique way of exploring emerging TT destinations through Porter’s Diamond model, signifying the competitive advantage.

No abstract

No abstract

Satisfaction of local residents is one of the key factors in responsible and sustainable tourism development. It helps tourism planners and policymakers in effective and strategic utilization of tourism resources. The present study investigates local residents’ satisfaction level toward sustainable tourism development through economic, socio-cultural, and environmental development. In order to achieve the goal of the study, one-sample t-test, regression analysis, and Structural Equation Modeling (SEM) were performed. The findings of the study have suggested that local residents have a different level of satisfaction towards overall sustainable development and economic, socio-cultural, and environmental development in the study area. It was also observed that there is a high positive correlation among economic, socio-cultural, and environmental developments, and these developments significantly impact sustainable tourism development.