PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 12, 2026Sustainability0 citationsOpen Access

From Final Demand to Network Dependence: An Input–Output Analysis of Structural Transformation in the Tourism Sector

View Full Paper
CSCamelia SurugiuMSMarius-Razvan Surugiu

Key Points

  • This research aims to analyze structural transformations in the tourism sector using an input-output approach.
  • Used network input-output model to analyze tourism for 2013 and 2023.
  • Conducted comparative analysis of technical coefficients and multipliers.
  • Examined tourism's integration and dependence on intermediate inputs.
  • Identified few upstream linkages for tourism.
  • Noted a low level of economic spillovers from the tourism sector.
  • Recommended building relationships with agriculture, creative industries, and business services to enhance resilience.

Abstract

The paper analyzes the structural transformations in tourism using the network input–output (IO) model. The study is based on IO tables for two years (2013 and 2023). This allows a comparative analysis of changes in the structure of technical coefficients and in multipliers associated with production and tax revenues. The approach enables the identification of changes in tourism’s position within the economic network. Tourism is also analyzed in terms of the degree of integration, dependence on intermediate inputs, and the capacity to spread the economic effects. The results show few upstream linkages for tourism. There is a low level of spillovers. To make it more resilient and generate more spillovers, it is important to build relationships with sectors such as agriculture, creative industries, and business services. The reliance on outsourced services could affect relationships with productive industries.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Surugiu et al. (2026) studied this question.

synapsesocial.com/papers/69db380f4fe01fead37c626ehttps://doi.org/10.3390/su18083748
Ask AI
Helpful
Bookmark
Share
View Full Paper