Integrating Big Data and Economic Indicators: Reconstructing the Drivers of Tourism Growth Based on Destination Competition Theory

The tourism industry, as a vibrant component of the global economy, is no longer explained by a single economic indicator. Against the backdrop of current global economic structural adjustments and rapid technological iteration, understanding the deep logic that drives destination attractiveness and long-term growth is an issue that policymakers and the industry urgently need to address. This article will explore how big data technology, inflationary pressures, and macroeconomic indicators interact to shape the growth trajectory of the tourism industry, combining destination competition theory with these factors.

From Competition Theory to Data-Driven Growth Logic The core of destination competition theory lies in the fact that the attractiveness and success of a tourist destination depend on its ability to maintain a competitive advantage in the global market. Traditional analyses often focus on conventional economic growth models, but given the current tourism industry's deep reliance on digitalization and the experience economy, traditional indicators alone are insufficient to capture its complexity. Therefore, incorporating big data innovation intensity into the analytical framework means shifting from traditional 'economic activity' to building 'data-driven competitive advantage.' Big data is no longer just a technical tool; it has become a core indicator for measuring destination resource endowments, service efficiency, and the differentiation of tourist experiences.

Coupling Effects of Macroeconomic Variables Empirical studies on data from European and BRICS destinations show that the level of national income and the intensity of big data innovation are the most significant drivers of tourism growth. This suggests two key macroeconomic signals: first, the robustness of the destination's economic foundation is the basis for attracting large-scale tourists; second, technological innovation (such as big data applications) acts as a lever to enhance the competitiveness of destination products and services. However, the intervention of inflation plays a significant constraining role. Research indicates that inflation has a clear negative impact on the tourism industry, primarily manifested in rising operating costs. In the tourism service industry, which is highly sensitive to costs, inflationary pressure directly erodes profit margins, thus exerting a suppressive force on tourism growth. This reminds decision-makers that while pursuing growth, they must be vigilant about inflation eroding the cost structure and develop effective inflation hedging or cost optimization strategies.

Policy Implications and Long-Term Outlook In summary, enhancing the long-term competitiveness of the tourism industry requires a multi-dimensional policy intervention system. This not only demands that destination governments make strategic investments in data analytics ecosystems to maximize the efficiency gains brought by big data but also requires the macroeconomic level to be committed to controlling unexpected fluctuations in inflation to ensure the controllability of the cost structure. In short, the future of tourism growth is no longer a standalone narrative of economic growth, but a systemic optimization process of "stable economic foundation + efficient technological empowerment + controllable cost structure." Only by organically combining these elements can the tourism industry build a more resilient and sustainable growth model in the face of uncertain global economic cycles.