Reg. Sci. Environ. Econ., Volume 2, Issue 4 (December 2025) – 4 articles

Against the backdrop of the accelerated integration of culture and tourism in China, red cultural tourism, as an important component of China’s cultural tourism system, urgently requires a systematic assessment of its development status and synergistic impact mechanisms. This study takes the Long March tourism resources in Yunnan as the research object and constructs a comprehensive evaluation system integrating social influence and ecological carrying capacity. By applying GIS spatial analysis, as well as K-means and XGBoost machine learning models, the development level of red cultural tourism in Yunnan is quantitatively assessed. Furthermore, the interpretable SHAP model is employed to identify the contribution of each evaluation indicator and to analyze the relationships among development levels under three different indicator models. The results reveal that (1) the development level of red cultural tourism in Yunnan generally exhibits a spatial pattern of being lower in the northwest and higher in the southeast; (2) transportation accessibility (TA), average annual precipitation (AAP), and average annual temperature (AAT) are the dominant indicators influencing the development level; (3) there are significant disparities in development levels among cities, indicating that future development needs to comprehensively consider both the social influence and ecological carrying capacity of red cultural tourism resources and adhere to a “social–ecological” synergistic development mechanism. This study not only uncovers the synergistic impacts of social and ecological dimensions on the development of red cultural tourism in Yunnan but also provides theoretical and data support for the optimization and sustainable development of Yunnan’s red cultural tourism resources. Full article

The regionalization of input–output tables enables a granular understanding of economic systems, allowing for interregional and interindustry analysis for goods and services in a local economy. This paper details the construction of an intermunicipal IO matrix for the state of Rio Grande do Sul (Brazil), a region marked by both economic diversification and significant territorial disparities. Using the 16-sector state IO matrix (base year 2019) provided by the state-level treasury (SEFAZ-RS) as a starting point, we adapt the Interregional Input–Output Adjustment System (IIOAS), integrating gravity-based trade modelling and RAS balancing, to produce a disaggregated structure for 497 municipalities. The regionalization follows three main steps: (i) generation of an initial matrix assuming proportional municipal shares in sectoral supply and demand; (ii) iterative RAS-based adjustments to align with municipal and state-level constraints; and (iii) incorporation of complementary municipal data—including employment, GDP, household consumption, and exports—to refine final demand and value-added allocations. The results demonstrate the feasibility of deriving spatially intermunicipal IO structures from limited data. The results show that, while industrial and service activities are concentrated around the Porto Alegre metropolitan area, rural subregions remain specialized in low value-added primary sectors. Full article

The European Union (EU) has positioned itself as a global leader in digital regulation, with landmark frameworks such as the Digital Services Act (DSA), the Digital Markets Act (DMA), and relevant AI Act. These initiatives reflect the EU’s ambition to balance technological innovation with consumer protection, market fairness, and digital sovereignty. Yet, a growing body of research suggests that the EU may be lagging its global competitors—namely the United States and China—when it comes to scaling high-growth digital enterprises and attracting investment in frontier technologies. This study investigates the paradox of regulation versus innovation in the EU by comparing key performance indicators such as R&D investment, venture capital availability, and digital innovation output with those of the U.S. and China. Drawing on datasets from WIPO, the OECD, IMF, and the World Bank, the paper incorporates both cross-sectional and longitudinal analysis to assess the EU’s digital trajectory. Findings suggest that while the EU excels in institutional frameworks and research output, structural barriers—such as regulatory fragmentation and underdeveloped capital markets—limit its global competitiveness. The article concludes by discussing policy implications and the need for adaptive governance to maintain Europe’s digital leadership. Full article

Sustainable tourism development has emerged as a strategic priority across ASEAN countries, yet the role of green innovation and environmentally responsible investment in shaping tourism outcomes remains underexplored. Existing studies often overlook the spatial interdependencies that characterize regional integration and cross-border environmental dynamics. This study investigates how green patents and green foreign direct investment (FDI) influence sustainable tourism development, both within and across ASEAN nations. Drawing on endogenous growth theory, ecological modernization, and FDI spillover frameworks, the analysis employs a Spatial Durbin Model (SDM) using panel data from 2000 to 2023. The findings reveal that green innovation and green FDI significantly enhance tourism development, with notable spatial spillover effects that benefit neighboring countries. These effects are most pronounced in leading ASEAN economies, where institutional capacity and absorptive readiness amplify the impact of green practices. The relationship is further shaped by economic growth, human capital, and political stability, while environmental degradation and inflation pose constraints. The study underscores the nonlinear and regionally heterogeneous nature of green tourism development, offering policy insights for fostering inclusive, resilient, and environmentally sustainable tourism strategies across ASEAN. Full article