Abstract
This research endeavours to explore the intricate dynamics of microeconomic factors that significantly influence the evolution of the sharing economy within the vibrant landscape of Lithuania’s tourism sector. By harnessing an extensive dataset comprising diverse tourism metrics and online platform activities, advanced regression analysis techniques are employed to uncover the intricate interplay between tourism employment and key determinants such as tourism output, accommodation infrastructure, internet accessibility, and other pertinent variables. The empirical insights gleaned from this analysis reveal compelling correlations, shedding light on the pivotal role played by these factors in shaping the burgeoning sharing economy within the tourism realm. Moreover, this study provides nuanced insights into the potential implications for future research endeavours. By elucidating the complex relationships between various economic variables and the sharing economy, this research lays the groundwork for further empirical exploration and theoretical refinement. The ramifications of this research extend beyond academia to encompass practical implications for industry practitioners and policymakers alike. By gaining a deeper understanding of the microeconomic drivers of the sharing economy in the tourism sector, stakeholders can devise more informed strategies to leverage its potential for sustainable growth and development. In conclusion, this research represents a significant contribution to the burgeoning field of sharing economy studies within the context of the tourism sector. By revealing the intricate web of microeconomic factors underpinning its development, this study provides valuable insights that can inform both academic discourse and practical decision-making processes. Ultimately, it is hoped that this research will catalyse further exploration and innovation in the field, driving continued growth and prosperity within Lithuania’s tourism sector.
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