Mapping Tourism-Driven Regional Inequality Through Village Clustering: Evidence from Gianyar Regency, Bali.
DOI:
https://doi.org/10.29408/edumatic.v10i2.34857Keywords:
intra-regional bifurcation, longitudinal cluster analysis, spatial polarization, tourism-driven inequalityAbstract
Aggregate tourism growth in developing economies does not automatically translate into spatially equitable outcomes, as economic gains persistently concentrate in dominant nodes while surrounding villages remain structurally excluded. This study introduces longitudinal K-Means clustering combined with cluster transition mapping to track village economic mobility in Gianyar Regency, Bali across 2021–2023. Data covering 70 villages were analyzed using Adjusted Rand Index, transition tabulation, and multiple inequality indices to ensure cluster stability and spatial interpretability. Results reveal accelerating spatial bifurcation, with 72.9 percent of transitional villages reclassified into the peripheral tier by 2023 and tourism facility inequality surging from 20.03 to 54.62 times across tiers. Upward mobility to the hub tier was entirely absent throughout the observation period. These findings qualify convergence assumptions in both Growth Pole Theory and Hirschman's trickling-down framework through mechanistically distinct pathways: hub growth raises commercial viability thresholds that structurally foreclose peripheral entry, while backwash dominance operates as a potential steady state rather than a transitional precursor to spread. Policy responses must be tier-differentiated, with hub villages requiring investment redirection, transitional villages requiring supply chain integration, and peripheral villages requiring state-led infrastructure equalization as a prerequisite for economic participation.
References
Anggraini, A. N., Amali, & Anwar, M. S. (2026). Demand-Based Product Classification Using K-Means with Intermittency Metrics. Edumatic: Jurnal Pendidikan Informatika, 10(1), 280–289. https://doi.org/10.29408/edumatic.v10i1.34435
Chen, G., Hu, M., Li, Z., & Kang, L. (2024). The Impact and Spatial Spillover Effects of Tourism Development on Urban Welfare: Empirical Evidence from the Yangtze River Delta in China. Systems, 12(5), 174. https://doi.org/10.3390/systems12050174
Donovan, S., de Graaff, T., de Groot, H. L. F., & Koopmans, C. C. (2024). Unraveling urban advantages—A meta-analysis of agglomeration economies. Journal of Economic Surveys, 38(1), 168–200. https://doi.org/https://doi.org/10.1111/joes.12543
Duranton, G., & Puga, D. (2004). Micro-Foundations of Urban Agglomeration Economies. In J. V. H. & J. F. Thisse (Ed.), Handbook of Regional and Urban Economics, Volume 4. Elsevier. https://doi.org/10.1016/S1574-0080(04)80005-1
Hirschman, A. O. (1958). The Strategy of Economic Development. Yale University Press.
Ibanescu, B.-C., Eva, M., Gheorghiu, A., & Iatu, C. (2023). Tourism-Induced Resilience of Rural Destinations in Relation to Spatial Accessibility. Applied Spatial Analysis and Policy, 16(3), 1237–1254. https://doi.org/10.1007/s12061-022-09439-1
Kopczewska, K., Kubara, M., & Kopyt, M. (2024). Population density as the attractor of business to the place. Scientific Reports, 14(1), 22234. https://doi.org/10.1038/s41598-024-73341-8
Li, X., Huang, Y., & Wang, Y. (2024). Differences in tourism economic development and its influencing factors among three major city clusters along the middle reaches of the Yangtze River. PLOS ONE, 19(5), 1–27. https://doi.org/10.1371/journal.pone.0299773
Liu, H., Gao, C., & Tsai, H. (2024). Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective. Tourism Economics, 30(3), 543–566. https://doi.org/10.1177/13548166231167045
Liu, Z., Xie, Y., Yang, J., & Zhu, D. (2024). Credit cooperatives and income growth: analyzing the role of financial sustainability. Discrete Dynamics in Nature and Society, 2024(1), 9263896. https://doi.org/10.1155/2024/9263896
Martin, R., & Sunley, P. (2010). The place of path dependence in an evolutionary perspective on the economic landscape. In R. Boschma & R. Martin (Eds.), The Handbook of Evolutionary Economic Geography. Edward Elgar Publishing. https://doi.org/10.4337/9781849806497.00010
Perroux, F. (1970). Note on the concept of growth poles. In D. McKee, R. Dean, & W. Leahy (Eds.), Regional Economics: Theory and Practice. The Free Press.
Sakti, A. D., Andani, I. G. A., Putri, A. D., Zakiar, M. R., Faruqi, I. Al, Santoso, C., Caraka, R. E., Rohayani, P., Pramudya, F. S., Wijayanto, A. W., Setiyadi, A., & Shalannanda, W. (2024). Geospatial intelligence framework for BTS infrastructure planning toward universal internet access target in Indonesia. International Journal of Applied Earth Observation and Geoinformation, 135, 104274. https://doi.org/https://doi.org/10.1016/j.jag.2024.104274
Shi, S., Liu, M., & Xi, J. (2022). Hierarchical Structure and Organizational Model of County Tourism Network of the Tibetan Plateau. Land (MDPI), 11, 1–18. https://doi.org/10.3390/land11111880
Tripathi, S., & Yenneti, K. (2024). Does inequality in urban population distribution lead to income inequality? Evidence from India. Asia-Pacific Journal of Regional Science, 8(3), 787–818. https://doi.org/10.1007/s41685-024-00345-7
Wang, Y., & Tziamalis, A. (2023). International tourism and income inequality: The role of economic and financial development. Tourism Economics, 29(7), 1836-1864. https://doi.org/10.1177/13548166231177106
Yu, R., & Luo, Z. (2024). Evaluation of regional comprehensive development efficiency under low-carbon policy: based on optimized DDF-GML combined with unsupervised clustering method. Scientific Reports, 14(1), 16217. https://doi.org/10.1038/s41598-024-67236-x
Zhang, J. (2023). The nonlinear effects of tourism on rural income inequality and urban–rural income inequality: Evidence from China. Tourism Economics, 29(1), 172–193. https://doi.org/10.1177/13548166211041802
Zhang, L., Zhou, S., & Guo, Y. (2024). Study on the evolution of the spatial structure and driving force of traditional village tourism in South Anhui province. Frontiers in Earth Science, 12, 1461292. https://doi.org/10.3389/feart.2024.1461292
Zhao, H., Zheng, J., Ma, S., Zhao, L., Xu, P., & Li, J. (2023). Spatial distribution and influencing factors analysis of national key rural tourism villages in the Yangtze River Delta region based on geographically weighted regression. Plos one, 18(11), e0291614. https://doi.org/10.1371/journal.pone.0291614
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