Roles of Geographical Heterogeneity on Income Distribution: Empirical Evidence from Thailand
คำสำคัญ:
Geographical Heterogeneity, Income Distribution, Spatial Analysis, Thailandบทคัดย่อ
Income disparity has led to numerous significant issues, prompting the need for a deeper understanding of its causes and impacts. This paper examines the role of geographical heterogeneity in income distribution, providing empirical evidence to support development theory and inform policymakers in designing effective development policies. Secondary data from government surveys and publicly accessible sources, including satellite data, are utilized to conduct the analysis. The econometric model employs the Generalized Method of Moments (GMM), and spatial patterns are investigated using spatial autocorrelation techniques. The findings indicate substantial regional income disparities in Thailand, particularly in the northern and northeastern regions, where economic activity is considerably lower compared to the central region. Furthermore, the results highlight the significant effect of geographical heterogeneity on income distribution, with agricultural areas exhibiting lower income levels relative to regions concentrated in manufacturing and services. These findings underscore the importance of addressing geographical factors in development planning to reduce income inequality.
เอกสารอ้างอิง
Acemoglu, D., & Ventura, J. (2002). The world income distribution. The Quarterly Journal of Economics, 117(2), 659-694.
Aigner, D. J., & Heins, A. J. (1967). On the determinants of income equality. The American Economic Review, 57(1), 175–184.
Anselin, L. (1995). Local indicators of spatial association—LISA. Geographical Analysis, 27(2), 93-115.
Barro, R. J. (1991). Economic growth in a cross section of countries. The quarterly Journal of Economics, 106(2), 407-443.
Banerjee, A. V., Gertler, P. J., & Ghatak, M. (2002). Empowerment and efficiency: Tenancy reform in West Bengal. Journal of Political Economy, 110(2), 239-280.
Barufi, A. M. B., Haddad, E. A., & Nijkamp, P. (2016). Industrial scope of agglomeration economies in Brazil. The Annals of Regional Science, 56(1), 707-755.
Combes, P. P., Duranton, G., & Gobillon, L. (2008). Spatial wage disparities: Sorting matters!. Journal of Urban Economics, 63(2), 723-742.
Davis, D. R., & Weinstein, D. E. (1999). Economic geography and regional production structure: An empirical investigation. European Economic Review, 43(2), 379-407.
Estudillo, J. P. (1997). Income inequality in the Philippines, 1961–91. The Developing Economies, 35(1), 68-95.
Fingleton, B. (2001). Theoretical economic geography and spatial econometrics: Dynamic perspectives. Journal of Economic Geography, 1(2), 201-225.
Goeij, P., & Verbeek, M. (2000). An empirical analysis of affine term structure models using the generalized method of moments. Belgium: Center for Economic Studies, Erasmus University Rotterdam.
Groot, S. P., de Groot, H. L., & Smit, M. J. (2014). Regional wage differences in the Netherlands: Micro evidence on agglomeration externalities. Journal of Regional Science, 54(3), 503-523.
Gujarati, D. N. (2021). Essentials of econometrics. California: SAGE Publications.
Imran, M., Sumra, K., Abbas, N., & Majeed, I. (2019). Spatial distribution and opportunity mapping: Applicability of evidence-based policy implications in Punjab using remote sensing and global products. Sustainable Cities and Society, 50, 1-12.
Lee, H. Y., Kim, J., & Cin, B. C. (2013). Empirical analysis on the determinants of income inequality in Korea. International Journal of Advanced Science and Technology, 53(1), 95-109.
Lemieux, T. (2006). The “Mincer Equation” thirty years after schooling, experience, and earnings. In S. Grossbard, S. (Ed.) Jacob Mincer a pioneer of modern labor economics (pp127-145). Springer, Boston, MA.
Lucas Jr, R. E. (1988). On the mechanics of economic development. Journal of monetary economics, 22(1), 3-42.
Milanovic, B. (2016). Global inequality: A new approach for the age of globalization. Massachusettes, USA : Harvard University Press.
Mincer, J. (1958). Investment in human capital and personal income distribution. Journal of Political Economy, 66(4), 281-302.
Mincer, J. A. (1974). Age and experience profiles of earnings. In J.A.Mincer (Ed.), Schooling, experience, and earnings (pp. 64–82). New York, NY: National Bureau of Economic Research.
Mincer, J. A. (1974). Schooling and earnings. In J.A.Mincer (Ed.), Schooling, experience, and earnings (pp. 43-63). New York, NY: National Bureau of Economic Research.
Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23.
Patrinos, H. A. (2024). Estimating the return to schooling using the Mincer equation. IZA World of Labor, 1-11. Retrieved from https://doi.org/10.15185/izawol.278
Piketty, T. (2003). Income inequality in France, 1901–1998. Journal of Political Economy, 111(5), 1004-1042.
Piketty, T., & Saez, E. (2003). Income inequality in the United States, 1913–1998. The Quarterly Journal of Economics, 118(1), 1-41.
Prasertsoong, N., & Puttanapong, N. (2022). Regional wage differences and agglomeration externalities: Micro evidence from Thai manufacturing workers. Economies, 10(12).
Puttanapong, N., Luenam, A., & Jongwattanakul, P. (2022). Spatial analysis of inequality in Thailand: Applications of satellite data and spatial statistics/econometrics. Sustainability, 14(7).
Ravallion, M. (2014). Income inequality in the developing world. Science, 344(6186), 851-855.
Sarkar, S., & Mehta, B. S. (2010). Income inequality in India: Pre-and post-reform periods. Economic and Political Weekly, 45 (37), 45-55. Retrieved from https://www.jstor.org/stable/25742070
Shi, K., Huang, C., Yu, B., Yin, B., Huang, Y., Wu, J. (2014). Evaluation of NPP- VIIRS night-time light composite data for extracting built-up urban areas. Remote Sensing Letter, 5(4), 358–366.
Tinbergen, J. (1956). On the theory of income distribution. Weltwirtschaftliches Archiv, 77 (1956), 155-175.
Zhou, Y., Ma, T., Zhou, C., Xu, T. (2015). Nighttime light derived assessment of regional inequality of socioeconomic development in China. Remote Sensing, 7(2), 1242–1262.
Zhou, Y., & Song, L. (2016). Income inequality in China: Causes and policy responses. China Economic Journal, 9(2), 186-208.
ดาวน์โหลด
เผยแพร่แล้ว
รูปแบบการอ้างอิง
ฉบับ
ประเภทบทความ
หมวดหมู่
สัญญาอนุญาต
ลิขสิทธิ์ (c) 2025 Thailand and The World Economy

อนุญาตภายใต้เงื่อนไข Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.




